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22 Commits
5d65aa1063 ... main

Author SHA1 Message Date
Seth Hobson
1ad2f007d5 Merge pull request #452 from Djelibeybi/add-oci-awareness 
feat: Add OCI awareness across agents and skills
 2026-03-17 11:00:12 -04:00
Avi Miller
358af5c98d refactor: update based on review feedback 
Signed-off-by: Avi Miller <me@dje.li>
 2026-03-18 01:52:01 +11:00
Seth Hobson
88c28fa2d4 Merge pull request #446 from jau123/add-meigen-ai-design 
Add meigen-ai-design plugin
 2026-03-17 10:39:37 -04:00
Avi Miller
24df162978 feat: Add OCI awareness across agents and skills 
Adds awareness of Oracle Cloud Infrastructure to any plugin that referenced
at least two of the major cloud vendors already. Skills updated to include
OCI services. Also updated some of the other cloud references.

Signed-off-by: Avi Miller <me@dje.li>
 2026-03-16 17:55:32 +11:00
jau123
480693861f Fix gallery-researcher: remove redundant name field, update category names 
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 2026-03-08 01:54:14 +08:00
jau123
2566f79d5c Address review feedback: restructure plugin for marketplace conventions 
- Remove .mcp.json (not used in marketplace, add README instead)
- Add marketplace.json entry for plugin discovery
- Add README.md with MCP server setup guide, provider config, and troubleshooting
- Add tools: declaration to image-generator agent (functional fix)
- Move <example> blocks from YAML frontmatter to markdown body
- Remove unused tools: Read, Grep, Glob from prompt-crafter agent
- Remove redundant name: field from command frontmatter
- Use full MCP tool prefix (mcp__meigen__*) in commands
- Rewrite plugin.json description to factual style
- Pin npm version to meigen@1.2.5

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 2026-03-08 01:49:29 +08:00
Seth Hobson
a6f0f457c4 chore: bump marketplace to v1.5.6 and patch 28 affected plugins 
Patch version bumps for all plugins that had phantom resource
references removed in the previous commit.
 2026-03-07 10:57:55 -05:00
Seth Hobson
47a5dbc3f9 fix(skills): remove phantom resource references and fix CoC links (#447) 
Remove references to non-existent resource files (references/, assets/,
scripts/, examples/) from 115 skill SKILL.md files. These sections
pointed to directories and files that were never created, causing
confusion when users install skills.

Also fix broken Code of Conduct links in issue templates to use
absolute GitHub URLs instead of relative paths that 404.
 2026-03-07 10:53:17 -05:00
jau123
81d0d2c2db Add meigen-ai-design plugin 2026-03-03 16:08:45 +08:00
Seth Hobson
ade0c7a211 fix(ui-design): update TabView examples to iOS 18 Tab API (#438) 
Replace deprecated .tabItem modifier pattern with modern Tab struct
across mobile-ios-design skill and navigation reference docs.
 2026-02-21 07:47:50 -05:00
Seth Hobson
5140d20204 chore: bump conductor to v1.2.1 and marketplace to v1.5.4 2026-02-20 20:10:41 -05:00
Seth Hobson
b198104783 feat(conductor): improve context-driven-development skill activation and add artifact templates (#437) 
Improve frontmatter description with action-oriented trigger terms for
better skill matching. Add copy-paste artifact templates as a reference
file. Inspired by @fernandezbaptiste contribution in #437.
 2026-02-20 20:07:59 -05:00
Seth Hobson
1874219995 Merge pull request #435 from sawyerh/payment-element-with-cs 
Recommend modern Stripe best practices
 2026-02-20 19:42:55 -05:00
Sawyer Hollenshead
25219b70d3 Restore metadata 2026-02-20 14:36:23 -08:00
Sawyer Hollenshead
9da3e5598e EwPI 2026-02-20 14:35:06 -08:00
Sawyer Hollenshead
b9a6404352 Cleanup and comments 2026-02-20 14:27:45 -08:00
Sawyer Hollenshead
967b1f7983 Use appearance var 2026-02-20 14:18:55 -08:00
Sawyer Hollenshead
17d4eb1fc1 set automatic_payment_methods 2026-02-20 09:43:34 -08:00
Sawyer Hollenshead
13c1081312 Remove PMTs param 2026-02-20 09:40:36 -08:00
Seth Hobson
682abfcdeb fix: remove stale code-review-ai plugin (#134, #135) 
Plugin had inconsistent content (OpenAI references, CI/CD workflow baked
into review command). Replaced by official pr-review-toolkit and
comprehensive-review plugins. Also answered discussions #138, #421, #422.
 2026-02-19 14:21:59 -05:00
Seth Hobson
086557180a chore: update model references to Claude 4.6 and GPT-5.2 
- Claude Opus 4.5 → Opus 4.6, Claude Sonnet 4.5 → Sonnet 4.6 (Haiku stays 4.5)
- Update claude-sonnet-4-5 model IDs to claude-sonnet-4-6 in code examples
- Update SWE-bench stat from 80.9% to 80.8% for Opus 4.6
- Update GPT refs: GPT-5 → GPT-5.2, GPT-4o → gpt-5.2, GPT-4o-mini → GPT-5-mini
- Fix GPT-5.2-mini → GPT-5-mini (correct model name per OpenAI)
- Bump marketplace to v1.5.2 and affected plugin versions
 2026-02-19 14:03:46 -05:00
Sawyer
2b8e3166a1 Update to latest Stripe best practices 2026-02-18 20:38:50 -08:00
237 changed files with 1287 additions and 2609 deletions
Expand all files Collapse all files

100
.claude-plugin/marketplace.json
View File

@@ -6,8 +6,8 @@
"url": "https://github.com/wshobson" "url": "https://github.com/wshobson"
}, },
"metadata": { "metadata": {
"description": "Production-ready workflow orchestration with 73 focused plugins, 112 specialized agents, and 146 skills - optimized for granular installation and minimal token usage", "description": "Production-ready workflow orchestration with 72 focused plugins, 112 specialized agents, and 146 skills - optimized for granular installation and minimal token usage",
"version": "1.5.1" "version": "1.5.6"
}, },
"plugins": [ "plugins": [
{ {
@@ -53,7 +53,7 @@
"name": "backend-development", "name": "backend-development",
"source": "./plugins/backend-development", "source": "./plugins/backend-development",
"description": "Backend API design, GraphQL architecture, workflow orchestration with Temporal, and test-driven backend development", "description": "Backend API design, GraphQL architecture, workflow orchestration with Temporal, and test-driven backend development",
"version": "1.3.0", "version": "1.3.1",
"author": { "author": {
"name": "Seth Hobson", "name": "Seth Hobson",
"email": "seth@major7apps.com" "email": "seth@major7apps.com"
@@ -66,7 +66,7 @@
"name": "frontend-mobile-development", "name": "frontend-mobile-development",
"source": "./plugins/frontend-mobile-development", "source": "./plugins/frontend-mobile-development",
"description": "Frontend UI development and mobile application implementation across platforms", "description": "Frontend UI development and mobile application implementation across platforms",
"version": "1.2.1", "version": "1.2.2",
"author": { "author": {
"name": "Seth Hobson", "name": "Seth Hobson",
"email": "seth@major7apps.com" "email": "seth@major7apps.com"
@@ -114,19 +114,6 @@
"license": "MIT", "license": "MIT",
"category": "workflows" "category": "workflows"
}, },
{
"name": "code-review-ai",
"source": "./plugins/code-review-ai",
"description": "AI-powered architectural review and code quality analysis",
"version": "1.2.0",
"author": {
"name": "Seth Hobson",
"email": "seth@major7apps.com"
},
"homepage": "https://github.com/wshobson/agents",
"license": "MIT",
"category": "quality"
},
{ {
"name": "code-refactoring", "name": "code-refactoring",
"source": "./plugins/code-refactoring", "source": "./plugins/code-refactoring",
@@ -181,8 +168,8 @@
}, },
{ {
"name": "llm-application-dev", "name": "llm-application-dev",
"description": "LLM application development with LangGraph, RAG systems, vector search, and AI agent architectures for Claude 4.5 and GPT-5.2", "description": "LLM application development with LangGraph, RAG systems, vector search, and AI agent architectures for Claude 4.6 and GPT-5.2",
"version": "2.0.3", "version": "2.0.5",
"author": { "author": {
"name": "Seth Hobson", "name": "Seth Hobson",
"email": "seth@major7apps.com" "email": "seth@major7apps.com"
@@ -196,7 +183,7 @@
"name": "agent-orchestration", "name": "agent-orchestration",
"source": "./plugins/agent-orchestration", "source": "./plugins/agent-orchestration",
"description": "Multi-agent system optimization, agent improvement workflows, and context management", "description": "Multi-agent system optimization, agent improvement workflows, and context management",
"version": "1.2.0", "version": "1.2.1",
"author": { "author": {
"name": "Seth Hobson", "name": "Seth Hobson",
"email": "seth@major7apps.com" "email": "seth@major7apps.com"
@@ -234,7 +221,7 @@
{ {
"name": "data-engineering", "name": "data-engineering",
"description": "ETL pipeline construction, data warehouse design, batch processing workflows, and data-driven feature development", "description": "ETL pipeline construction, data warehouse design, batch processing workflows, and data-driven feature development",
"version": "1.3.0", "version": "1.3.1",
"author": { "author": {
"name": "Seth Hobson", "name": "Seth Hobson",
"email": "seth@major7apps.com" "email": "seth@major7apps.com"
@@ -247,7 +234,7 @@
{ {
"name": "incident-response", "name": "incident-response",
"description": "Production incident management, triage workflows, and automated incident resolution", "description": "Production incident management, triage workflows, and automated incident resolution",
"version": "1.3.0", "version": "1.3.1",
"author": { "author": {
"name": "Seth Hobson", "name": "Seth Hobson",
"email": "seth@major7apps.com" "email": "seth@major7apps.com"
@@ -286,7 +273,7 @@
{ {
"name": "observability-monitoring", "name": "observability-monitoring",
"description": "Metrics collection, logging infrastructure, distributed tracing, SLO implementation, and monitoring dashboards", "description": "Metrics collection, logging infrastructure, distributed tracing, SLO implementation, and monitoring dashboards",
"version": "1.2.1", "version": "1.2.2",
"author": { "author": {
"name": "Seth Hobson", "name": "Seth Hobson",
"email": "seth@major7apps.com" "email": "seth@major7apps.com"
@@ -325,7 +312,7 @@
{ {
"name": "kubernetes-operations", "name": "kubernetes-operations",
"description": "Kubernetes manifest generation, networking configuration, security policies, observability setup, GitOps workflows, and auto-scaling", "description": "Kubernetes manifest generation, networking configuration, security policies, observability setup, GitOps workflows, and auto-scaling",
"version": "1.2.1", "version": "1.2.2",
"author": { "author": {
"name": "Seth Hobson", "name": "Seth Hobson",
"email": "seth@major7apps.com" "email": "seth@major7apps.com"
@@ -337,8 +324,8 @@
}, },
{ {
"name": "cloud-infrastructure", "name": "cloud-infrastructure",
"description": "Cloud architecture design for AWS/Azure/GCP, Kubernetes cluster configuration, Terraform infrastructure-as-code, hybrid cloud networking, and multi-cloud cost optimization", "description": "Cloud architecture design for AWS/Azure/GCP/OCI, Kubernetes cluster configuration, Terraform infrastructure-as-code, hybrid cloud networking, and multi-cloud cost optimization",
"version": "1.2.2", "version": "1.3.0",
"author": { "author": {
"name": "Seth Hobson", "name": "Seth Hobson",
"email": "seth@major7apps.com" "email": "seth@major7apps.com"
@@ -351,7 +338,7 @@
{ {
"name": "cicd-automation", "name": "cicd-automation",
"description": "CI/CD pipeline configuration, GitHub Actions/GitLab CI workflow setup, and automated deployment pipeline orchestration", "description": "CI/CD pipeline configuration, GitHub Actions/GitLab CI workflow setup, and automated deployment pipeline orchestration",
"version": "1.2.1", "version": "1.2.2",
"author": { "author": {
"name": "Seth Hobson", "name": "Seth Hobson",
"email": "seth@major7apps.com" "email": "seth@major7apps.com"
@@ -404,7 +391,7 @@
"name": "performance-testing-review", "name": "performance-testing-review",
"source": "./plugins/performance-testing-review", "source": "./plugins/performance-testing-review",
"description": "Performance analysis, test coverage review, and AI-powered code quality assessment", "description": "Performance analysis, test coverage review, and AI-powered code quality assessment",
"version": "1.2.0", "version": "1.2.1",
"author": { "author": {
"name": "Seth Hobson", "name": "Seth Hobson",
"email": "seth@major7apps.com" "email": "seth@major7apps.com"
@@ -417,7 +404,7 @@
"name": "framework-migration", "name": "framework-migration",
"source": "./plugins/framework-migration", "source": "./plugins/framework-migration",
"description": "Framework updates, migration planning, and architectural transformation workflows", "description": "Framework updates, migration planning, and architectural transformation workflows",
"version": "1.3.0", "version": "1.3.1",
"author": { "author": {
"name": "Seth Hobson", "name": "Seth Hobson",
"email": "seth@major7apps.com" "email": "seth@major7apps.com"
@@ -468,7 +455,7 @@
{ {
"name": "security-scanning", "name": "security-scanning",
"description": "SAST analysis, dependency vulnerability scanning, OWASP Top 10 compliance, container security scanning, and automated security hardening", "description": "SAST analysis, dependency vulnerability scanning, OWASP Top 10 compliance, container security scanning, and automated security hardening",
"version": "1.3.0", "version": "1.3.1",
"author": { "author": {
"name": "Seth Hobson", "name": "Seth Hobson",
"email": "seth@major7apps.com" "email": "seth@major7apps.com"
@@ -534,7 +521,7 @@
"name": "api-scaffolding", "name": "api-scaffolding",
"source": "./plugins/api-scaffolding", "source": "./plugins/api-scaffolding",
"description": "REST and GraphQL API scaffolding, framework selection, backend architecture, and API generation", "description": "REST and GraphQL API scaffolding, framework selection, backend architecture, and API generation",
"version": "1.2.1", "version": "1.2.2",
"author": { "author": {
"name": "Seth Hobson", "name": "Seth Hobson",
"email": "seth@major7apps.com" "email": "seth@major7apps.com"
@@ -599,7 +586,7 @@
"name": "documentation-generation", "name": "documentation-generation",
"source": "./plugins/documentation-generation", "source": "./plugins/documentation-generation",
"description": "OpenAPI specification generation, Mermaid diagram creation, tutorial writing, API reference documentation", "description": "OpenAPI specification generation, Mermaid diagram creation, tutorial writing, API reference documentation",
"version": "1.2.1", "version": "1.2.2",
"author": { "author": {
"name": "Seth Hobson", "name": "Seth Hobson",
"email": "seth@major7apps.com" "email": "seth@major7apps.com"
@@ -638,7 +625,7 @@
"name": "business-analytics", "name": "business-analytics",
"source": "./plugins/business-analytics", "source": "./plugins/business-analytics",
"description": "Business metrics analysis, KPI tracking, financial reporting, and data-driven decision making", "description": "Business metrics analysis, KPI tracking, financial reporting, and data-driven decision making",
"version": "1.2.1", "version": "1.2.2",
"author": { "author": {
"name": "Seth Hobson", "name": "Seth Hobson",
"email": "seth@major7apps.com" "email": "seth@major7apps.com"
@@ -650,7 +637,7 @@
{ {
"name": "startup-business-analyst", "name": "startup-business-analyst",
"description": "Comprehensive startup business analysis with market sizing (TAM/SAM/SOM), financial modeling, team planning, and strategic research for early-stage companies", "description": "Comprehensive startup business analysis with market sizing (TAM/SAM/SOM), financial modeling, team planning, and strategic research for early-stage companies",
"version": "1.0.4", "version": "1.0.5",
"author": { "author": {
"name": "Seth Hobson", "name": "Seth Hobson",
"email": "seth@major7apps.com" "email": "seth@major7apps.com"
@@ -664,7 +651,7 @@
"name": "hr-legal-compliance", "name": "hr-legal-compliance",
"source": "./plugins/hr-legal-compliance", "source": "./plugins/hr-legal-compliance",
"description": "HR policy documentation, legal compliance templates (GDPR/SOC2/HIPAA), employment contracts, and regulatory documentation", "description": "HR policy documentation, legal compliance templates (GDPR/SOC2/HIPAA), employment contracts, and regulatory documentation",
"version": "1.2.1", "version": "1.2.2",
"author": { "author": {
"name": "Seth Hobson", "name": "Seth Hobson",
"email": "seth@major7apps.com" "email": "seth@major7apps.com"
@@ -703,7 +690,7 @@
"name": "blockchain-web3", "name": "blockchain-web3",
"source": "./plugins/blockchain-web3", "source": "./plugins/blockchain-web3",
"description": "Smart contract development with Solidity, DeFi protocol implementation, NFT platforms, and Web3 application architecture", "description": "Smart contract development with Solidity, DeFi protocol implementation, NFT platforms, and Web3 application architecture",
"version": "1.2.1", "version": "1.2.2",
"author": { "author": {
"name": "Seth Hobson", "name": "Seth Hobson",
"email": "seth@major7apps.com" "email": "seth@major7apps.com"
@@ -716,7 +703,7 @@
"name": "quantitative-trading", "name": "quantitative-trading",
"source": "./plugins/quantitative-trading", "source": "./plugins/quantitative-trading",
"description": "Quantitative analysis, algorithmic trading strategies, financial modeling, portfolio risk management, and backtesting", "description": "Quantitative analysis, algorithmic trading strategies, financial modeling, portfolio risk management, and backtesting",
"version": "1.2.1", "version": "1.2.2",
"author": { "author": {
"name": "Seth Hobson", "name": "Seth Hobson",
"email": "seth@major7apps.com" "email": "seth@major7apps.com"
@@ -729,7 +716,7 @@
"name": "payment-processing", "name": "payment-processing",
"source": "./plugins/payment-processing", "source": "./plugins/payment-processing",
"description": "Payment gateway integration with Stripe, PayPal, checkout flow implementation, subscription billing, and PCI compliance", "description": "Payment gateway integration with Stripe, PayPal, checkout flow implementation, subscription billing, and PCI compliance",
"version": "1.2.1", "version": "1.2.2",
"author": { "author": {
"name": "Seth Hobson", "name": "Seth Hobson",
"email": "seth@major7apps.com" "email": "seth@major7apps.com"
@@ -742,7 +729,7 @@
"name": "game-development", "name": "game-development",
"source": "./plugins/game-development", "source": "./plugins/game-development",
"description": "Unity game development with C# scripting, Minecraft server plugin development with Bukkit/Spigot APIs", "description": "Unity game development with C# scripting, Minecraft server plugin development with Bukkit/Spigot APIs",
"version": "1.2.1", "version": "1.2.2",
"author": { "author": {
"name": "Seth Hobson", "name": "Seth Hobson",
"email": "seth@major7apps.com" "email": "seth@major7apps.com"
@@ -755,7 +742,7 @@
"name": "accessibility-compliance", "name": "accessibility-compliance",
"source": "./plugins/accessibility-compliance", "source": "./plugins/accessibility-compliance",
"description": "WCAG accessibility auditing, compliance validation, UI testing for screen readers, keyboard navigation, and inclusive design", "description": "WCAG accessibility auditing, compliance validation, UI testing for screen readers, keyboard navigation, and inclusive design",
"version": "1.2.1", "version": "1.2.2",
"author": { "author": {
"name": "Seth Hobson", "name": "Seth Hobson",
"email": "seth@major7apps.com" "email": "seth@major7apps.com"
@@ -768,7 +755,7 @@
"name": "python-development", "name": "python-development",
"source": "./plugins/python-development", "source": "./plugins/python-development",
"description": "Modern Python development with Python 3.12+, Django, FastAPI, async patterns, and production best practices", "description": "Modern Python development with Python 3.12+, Django, FastAPI, async patterns, and production best practices",
"version": "1.2.1", "version": "1.2.2",
"author": { "author": {
"name": "Seth Hobson", "name": "Seth Hobson",
"email": "seth@major7apps.com" "email": "seth@major7apps.com"
@@ -781,7 +768,7 @@
"name": "javascript-typescript", "name": "javascript-typescript",
"source": "./plugins/javascript-typescript", "source": "./plugins/javascript-typescript",
"description": "JavaScript and TypeScript development with ES6+, Node.js, React, and modern web frameworks", "description": "JavaScript and TypeScript development with ES6+, Node.js, React, and modern web frameworks",
"version": "1.2.1", "version": "1.2.2",
"author": { "author": {
"name": "Seth Hobson", "name": "Seth Hobson",
"email": "seth@major7apps.com" "email": "seth@major7apps.com"
@@ -794,7 +781,7 @@
"name": "systems-programming", "name": "systems-programming",
"source": "./plugins/systems-programming", "source": "./plugins/systems-programming",
"description": "Systems programming with Rust, Go, C, and C++ for performance-critical and low-level development", "description": "Systems programming with Rust, Go, C, and C++ for performance-critical and low-level development",
"version": "1.2.1", "version": "1.2.2",
"author": { "author": {
"name": "Seth Hobson", "name": "Seth Hobson",
"email": "seth@major7apps.com" "email": "seth@major7apps.com"
@@ -872,7 +859,7 @@
"name": "shell-scripting", "name": "shell-scripting",
"source": "./plugins/shell-scripting", "source": "./plugins/shell-scripting",
"description": "Production-grade Bash scripting with defensive programming, POSIX compliance, and comprehensive testing", "description": "Production-grade Bash scripting with defensive programming, POSIX compliance, and comprehensive testing",
"version": "1.2.1", "version": "1.2.2",
"author": { "author": {
"name": "Ryan Snodgrass", "name": "Ryan Snodgrass",
"url": "https://github.com/rsnodgrass" "url": "https://github.com/rsnodgrass"
@@ -885,7 +872,7 @@
"name": "developer-essentials", "name": "developer-essentials",
"source": "./plugins/developer-essentials", "source": "./plugins/developer-essentials",
"description": "Essential developer skills including Git workflows, SQL optimization, error handling, code review, E2E testing, authentication, debugging, and monorepo management", "description": "Essential developer skills including Git workflows, SQL optimization, error handling, code review, E2E testing, authentication, debugging, and monorepo management",
"version": "1.0.1", "version": "1.0.2",
"author": { "author": {
"name": "Seth Hobson", "name": "Seth Hobson",
"email": "seth@major7apps.com" "email": "seth@major7apps.com"
@@ -900,7 +887,7 @@
"description": "Binary reverse engineering, malware analysis, firmware security, and software protection research for authorized security research, CTF competitions, and defensive security", "description": "Binary reverse engineering, malware analysis, firmware security, and software protection research for authorized security research, CTF competitions, and defensive security",
"version": "1.0.0", "version": "1.0.0",
"author": { "author": {
"name": "Dávid Balatoni", "name": "D\u00e1vid Balatoni",
"url": "https://github.com/balcsida" "url": "https://github.com/balcsida"
}, },
"homepage": "https://github.com/wshobson/agents", "homepage": "https://github.com/wshobson/agents",
@@ -909,8 +896,8 @@
}, },
{ {
"name": "conductor", "name": "conductor",
"description": "Context-Driven Development plugin that transforms Claude Code into a project management tool with structured workflow: Context → Spec & Plan → Implement", "description": "Context-Driven Development plugin that transforms Claude Code into a project management tool with structured workflow: Context \u2192 Spec & Plan \u2192 Implement",
"version": "1.2.0", "version": "1.2.1",
"author": { "author": {
"name": "Seth Hobson", "name": "Seth Hobson",
"email": "seth@major7apps.com" "email": "seth@major7apps.com"
@@ -923,7 +910,7 @@
{ {
"name": "ui-design", "name": "ui-design",
"description": "Comprehensive UI/UX design plugin for mobile (iOS, Android, React Native) and web applications with design systems, accessibility, and modern patterns", "description": "Comprehensive UI/UX design plugin for mobile (iOS, Android, React Native) and web applications with design systems, accessibility, and modern patterns",
"version": "1.0.2", "version": "1.0.4",
"author": { "author": {
"name": "Seth Hobson", "name": "Seth Hobson",
"email": "seth@major7apps.com" "email": "seth@major7apps.com"
@@ -950,7 +937,7 @@
"name": "dotnet-contribution", "name": "dotnet-contribution",
"source": "./plugins/dotnet-contribution", "source": "./plugins/dotnet-contribution",
"description": "Comprehensive .NET backend development with C#, ASP.NET Core, Entity Framework Core, and Dapper for production-grade applications", "description": "Comprehensive .NET backend development with C#, ASP.NET Core, Entity Framework Core, and Dapper for production-grade applications",
"version": "1.0.0", "version": "1.0.1",
"author": { "author": {
"name": "Seth Hobson", "name": "Seth Hobson",
"email": "seth@major7apps.com" "email": "seth@major7apps.com"
@@ -958,6 +945,19 @@
"homepage": "https://github.com/wshobson/agents", "homepage": "https://github.com/wshobson/agents",
"license": "MIT", "license": "MIT",
"category": "languages" "category": "languages"
},
{
"name": "meigen-ai-design",
"source": "./plugins/meigen-ai-design",
"description": "AI image generation with creative workflow orchestration, prompt engineering, and curated inspiration library via MCP server",
"version": "1.0.0",
"author": {
"name": "MeiGen",
"url": "https://github.com/jau123"
},
"homepage": "https://github.com/jau123/MeiGen-AI-Design-MCP",
"license": "MIT",
"category": "creative"
} }
] ]
} }

2
.github/ISSUE_TEMPLATE/bug_report.yml vendored
View File

@@ -20,7 +20,7 @@ body:
label: Preliminary Checks label: Preliminary Checks
description: Please confirm you have completed these steps description: Please confirm you have completed these steps
options: options:
- label: I have read the [Code of Conduct](.github/CODE_OF_CONDUCT.md) - label: I have read the [Code of Conduct](https://github.com/wshobson/agents/blob/main/.github/CODE_OF_CONDUCT.md)
required: true required: true
- label: >- - label: >-
I have searched existing issues to ensure this is not a duplicate I have searched existing issues to ensure this is not a duplicate

2
.github/ISSUE_TEMPLATE/feature_request.yml vendored
View File

@@ -19,7 +19,7 @@ body:
label: Preliminary Checks label: Preliminary Checks
description: Please confirm you have completed these steps description: Please confirm you have completed these steps
options: options:
- label: I have read the [Code of Conduct](.github/CODE_OF_CONDUCT.md) - label: I have read the [Code of Conduct](https://github.com/wshobson/agents/blob/main/.github/CODE_OF_CONDUCT.md)
required: true required: true
- label: >- - label: >-
I have searched existing issues to ensure this is not a duplicate I have searched existing issues to ensure this is not a duplicate

2
.github/ISSUE_TEMPLATE/new_subagent.yml vendored
View File

@@ -20,7 +20,7 @@ body:
label: Preliminary Checks label: Preliminary Checks
description: Please confirm you have completed these steps description: Please confirm you have completed these steps
options: options:
- label: I have read the [Code of Conduct](.github/CODE_OF_CONDUCT.md) - label: I have read the [Code of Conduct](https://github.com/wshobson/agents/blob/main/.github/CODE_OF_CONDUCT.md)
required: true required: true
- label: >- - label: >-
I have reviewed existing subagents to ensure this is not a duplicate I have reviewed existing subagents to ensure this is not a duplicate

32
README.md
View File

@@ -1,18 +1,18 @@
# Claude Code Plugins: Orchestration and Automation # Claude Code Plugins: Orchestration and Automation
> **⚡ Updated for Opus 4.5, Sonnet 4.5 & Haiku 4.5** — Three-tier model strategy for optimal performance > **⚡ Updated for Opus 4.6, Sonnet 4.6 & Haiku 4.5** — Three-tier model strategy for optimal performance
[![Run in Smithery](https://smithery.ai/badge/skills/wshobson)](https://smithery.ai/skills?ns=wshobson&utm_source=github&utm_medium=badge) [![Run in Smithery](https://smithery.ai/badge/skills/wshobson)](https://smithery.ai/skills?ns=wshobson&utm_source=github&utm_medium=badge)
> **🎯 Agent Skills Enabled** — 146 specialized skills extend Claude's capabilities across plugins with progressive disclosure > **🎯 Agent Skills Enabled** — 146 specialized skills extend Claude's capabilities across plugins with progressive disclosure
A comprehensive production-ready system combining **112 specialized AI agents**, **16 multi-agent workflow orchestrators**, **146 agent skills**, and **79 development tools** organized into **73 focused, single-purpose plugins** for [Claude Code](https://docs.claude.com/en/docs/claude-code/overview). A comprehensive production-ready system combining **112 specialized AI agents**, **16 multi-agent workflow orchestrators**, **146 agent skills**, and **79 development tools** organized into **72 focused, single-purpose plugins** for [Claude Code](https://docs.claude.com/en/docs/claude-code/overview).
## Overview ## Overview
This unified repository provides everything needed for intelligent automation and multi-agent orchestration across modern software development: This unified repository provides everything needed for intelligent automation and multi-agent orchestration across modern software development:
- **73 Focused Plugins** - Granular, single-purpose plugins optimized for minimal token usage and composability - **72 Focused Plugins** - Granular, single-purpose plugins optimized for minimal token usage and composability
- **112 Specialized Agents** - Domain experts with deep knowledge across architecture, languages, infrastructure, quality, data/AI, documentation, business operations, and SEO - **112 Specialized Agents** - Domain experts with deep knowledge across architecture, languages, infrastructure, quality, data/AI, documentation, business operations, and SEO
- **146 Agent Skills** - Modular knowledge packages with progressive disclosure for specialized expertise - **146 Agent Skills** - Modular knowledge packages with progressive disclosure for specialized expertise
- **16 Workflow Orchestrators** - Multi-agent coordination systems for complex operations like full-stack development, security hardening, ML pipelines, and incident response - **16 Workflow Orchestrators** - Multi-agent coordination systems for complex operations like full-stack development, security hardening, ML pipelines, and incident response
@@ -20,7 +20,7 @@ This unified repository provides everything needed for intelligent automation an
### Key Features ### Key Features
- **Granular Plugin Architecture**: 73 focused plugins optimized for minimal token usage - **Granular Plugin Architecture**: 72 focused plugins optimized for minimal token usage
- **Comprehensive Tooling**: 79 development tools including test generation, scaffolding, and security scanning - **Comprehensive Tooling**: 79 development tools including test generation, scaffolding, and security scanning
- **100% Agent Coverage**: All plugins include specialized agents - **100% Agent Coverage**: All plugins include specialized agents
- **Agent Skills**: 146 specialized skills following for progressive disclosure and token efficiency - **Agent Skills**: 146 specialized skills following for progressive disclosure and token efficiency
@@ -49,7 +49,7 @@ Add this marketplace to Claude Code:
/plugin marketplace add wshobson/agents /plugin marketplace add wshobson/agents
``` ```
This makes all 73 plugins available for installation, but **does not load any agents or tools** into your context. This makes all 72 plugins available for installation, but **does not load any agents or tools** into your context.
### Step 2: Install Plugins ### Step 2: Install Plugins
@@ -73,7 +73,7 @@ Install the plugins you need:
# Security & quality # Security & quality
/plugin install security-scanning # SAST with security skill /plugin install security-scanning # SAST with security skill
/plugin install code-review-ai # AI-powered code review /plugin install comprehensive-review # Multi-perspective code analysis
# Full-stack orchestration # Full-stack orchestration
/plugin install full-stack-orchestration # Multi-agent workflows /plugin install full-stack-orchestration # Multi-agent workflows
@@ -114,7 +114,7 @@ rm -rf ~/.claude/plugins/cache/claude-code-workflows && rm ~/.claude/plugins/ins
### Core Guides ### Core Guides
- **[Plugin Reference](docs/plugins.md)** - Complete catalog of all 73 plugins - **[Plugin Reference](docs/plugins.md)** - Complete catalog of all 72 plugins
- **[Agent Reference](docs/agents.md)** - All 112 agents organized by category - **[Agent Reference](docs/agents.md)** - All 112 agents organized by category
- **[Agent Skills](docs/agent-skills.md)** - 146 specialized skills with progressive disclosure - **[Agent Skills](docs/agent-skills.md)** - 146 specialized skills with progressive disclosure
- **[Usage Guide](docs/usage.md)** - Commands, workflows, and best practices - **[Usage Guide](docs/usage.md)** - Commands, workflows, and best practices
@@ -203,14 +203,14 @@ Strategic model assignment for optimal performance and cost:
| Tier | Model | Agents | Use Case | | Tier | Model | Agents | Use Case |
| ---------- | -------- | ------ | ----------------------------------------------------------------------------------------------- | | ---------- | -------- | ------ | ----------------------------------------------------------------------------------------------- |
| **Tier 1** | Opus 4.5 | 42 | Critical architecture, security, ALL code review, production coding (language pros, frameworks) | | **Tier 1** | Opus 4.6 | 42 | Critical architecture, security, ALL code review, production coding (language pros, frameworks) |
| **Tier 2** | Inherit | 42 | Complex tasks - user chooses model (AI/ML, backend, frontend/mobile, specialized) | | **Tier 2** | Inherit | 42 | Complex tasks - user chooses model (AI/ML, backend, frontend/mobile, specialized) |
| **Tier 3** | Sonnet | 51 | Support with intelligence (docs, testing, debugging, network, API docs, DX, legacy, payments) | | **Tier 3** | Sonnet | 51 | Support with intelligence (docs, testing, debugging, network, API docs, DX, legacy, payments) |
| **Tier 4** | Haiku | 18 | Fast operational tasks (SEO, deployment, simple docs, sales, content, search) | | **Tier 4** | Haiku | 18 | Fast operational tasks (SEO, deployment, simple docs, sales, content, search) |
**Why Opus 4.5 for Critical Agents?** **Why Opus 4.6 for Critical Agents?**
- 80.9% on SWE-bench (industry-leading) - 80.8% on SWE-bench (industry-leading)
- 65% fewer tokens for complex tasks - 65% fewer tokens for complex tasks
- Best for architecture decisions and security audits - Best for architecture decisions and security audits
@@ -218,14 +218,14 @@ Strategic model assignment for optimal performance and cost:
Agents marked `inherit` use your session's default model, letting you balance cost and capability: Agents marked `inherit` use your session's default model, letting you balance cost and capability:
- Set via `claude --model opus` or `claude --model sonnet` when starting a session - Set via `claude --model opus` or `claude --model sonnet` when starting a session
- Falls back to Sonnet 4.5 if no default specified - Falls back to Sonnet 4.6 if no default specified
- Perfect for frontend/mobile developers who want cost control - Perfect for frontend/mobile developers who want cost control
- AI/ML engineers can choose Opus for complex model work - AI/ML engineers can choose Opus for complex model work
**Cost Considerations:** **Cost Considerations:**
- **Opus 4.5**: $5/$25 per million input/output tokens - Premium for critical work - **Opus 4.6**: $5/$25 per million input/output tokens - Premium for critical work
- **Sonnet 4.5**: $3/$15 per million tokens - Balanced performance/cost - **Sonnet 4.6**: $3/$15 per million tokens - Balanced performance/cost
- **Haiku 4.5**: $1/$5 per million tokens - Fast, cost-effective operations - **Haiku 4.5**: $1/$5 per million tokens - Fast, cost-effective operations
- Opus's 65% token reduction on complex tasks often offsets higher rate - Opus's 65% token reduction on complex tasks often offsets higher rate
- Use `inherit` tier to control costs for high-volume use cases - Use `inherit` tier to control costs for high-volume use cases
@@ -283,13 +283,13 @@ Uses kubernetes-architect agent with 4 specialized skills for production-grade c
## Plugin Categories ## Plugin Categories
**24 categories, 73 plugins:** **24 categories, 72 plugins:**
- 🎨 **Development** (4) - debugging, backend, frontend, multi-platform - 🎨 **Development** (4) - debugging, backend, frontend, multi-platform
- 📚 **Documentation** (3) - code docs, API specs, diagrams, C4 architecture - 📚 **Documentation** (3) - code docs, API specs, diagrams, C4 architecture
- 🔄 **Workflows** (5) - git, full-stack, TDD, **Conductor** (context-driven development), **Agent Teams** (multi-agent orchestration) - 🔄 **Workflows** (5) - git, full-stack, TDD, **Conductor** (context-driven development), **Agent Teams** (multi-agent orchestration)
- ✅ **Testing** (2) - unit testing, TDD workflows - ✅ **Testing** (2) - unit testing, TDD workflows
- 🔍 **Quality** (3) - code review, comprehensive review, performance - 🔍 **Quality** (2) - comprehensive review, performance
- 🤖 **AI & ML** (4) - LLM apps, agent orchestration, context, MLOps - 🤖 **AI & ML** (4) - LLM apps, agent orchestration, context, MLOps
- 📊 **Data** (2) - data engineering, data validation - 📊 **Data** (2) - data engineering, data validation
- 🗄️ **Database** (2) - database design, migrations - 🗄️ **Database** (2) - database design, migrations
@@ -330,7 +330,7 @@ Three-tier architecture for token efficiency:
``` ```
claude-agents/ claude-agents/
├── .claude-plugin/ ├── .claude-plugin/
│ └── marketplace.json # 73 plugins │ └── marketplace.json # 72 plugins
├── plugins/ ├── plugins/
│ ├── python-development/ │ ├── python-development/
│ │ ├── agents/ # 3 Python experts │ │ ├── agents/ # 3 Python experts

2
docs/architecture.md
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@@ -334,7 +334,7 @@ Feature Development Workflow:
1. backend-development:feature-development 1. backend-development:feature-development
2. security-scanning:security-hardening 2. security-scanning:security-hardening
3. unit-testing:test-generate 3. unit-testing:test-generate
4. code-review-ai:ai-review 4. comprehensive-review:full-review
5. cicd-automation:workflow-automate 5. cicd-automation:workflow-automate
6. observability-monitoring:monitor-setup 6. observability-monitoring:monitor-setup
``` ```

13
docs/plugins.md
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@@ -1,6 +1,6 @@
# Complete Plugin Reference # Complete Plugin Reference
Browse all **72 focused, single-purpose plugins** organized by category. Browse all **71 focused, single-purpose plugins** organized by category.
## Quick Start - Essential Plugins ## Quick Start - Essential Plugins
@@ -68,14 +68,6 @@ Multi-agent coordination from backend → frontend → testing → security →
Generate pytest (Python) and Jest (JavaScript) unit tests automatically with comprehensive edge case coverage. Generate pytest (Python) and Jest (JavaScript) unit tests automatically with comprehensive edge case coverage.
**code-review-ai** - AI-powered code review
```bash
/plugin install code-review-ai
```
Architectural analysis, security assessment, and code quality review with actionable feedback.
### Infrastructure & Operations ### Infrastructure & Operations
**cloud-infrastructure** - Cloud architecture design **cloud-infrastructure** - Cloud architecture design
@@ -150,11 +142,10 @@ Next.js, React + Vite, and Node.js project setup with pnpm and TypeScript best p
| **unit-testing** | Automated unit test generation (Python/JavaScript) | `/plugin install unit-testing` | | **unit-testing** | Automated unit test generation (Python/JavaScript) | `/plugin install unit-testing` |
| **tdd-workflows** | Test-driven development methodology | `/plugin install tdd-workflows` | | **tdd-workflows** | Test-driven development methodology | `/plugin install tdd-workflows` |
### 🔍 Quality (3 plugins) ### 🔍 Quality (2 plugins)
| Plugin | Description | Install | | Plugin | Description | Install |
| ------------------------------ | --------------------------------------------- | -------------------------------------------- | | ------------------------------ | --------------------------------------------- | -------------------------------------------- |
| **code-review-ai** | AI-powered architectural review | `/plugin install code-review-ai` |
| **comprehensive-review** | Multi-perspective code analysis | `/plugin install comprehensive-review` | | **comprehensive-review** | Multi-perspective code analysis | `/plugin install comprehensive-review` |
| **performance-testing-review** | Performance analysis and test coverage review | `/plugin install performance-testing-review` | | **performance-testing-review** | Performance analysis and test coverage review | `/plugin install performance-testing-review` |

3
docs/usage.md
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@@ -70,7 +70,6 @@ Claude Code automatically selects and coordinates the appropriate agents based o
| Command | Description | | Command | Description |
| ----------------------------------- | -------------------------- | | ----------------------------------- | -------------------------- |
| `/code-review-ai:ai-review` | AI-powered code review |
| `/comprehensive-review:full-review` | Multi-perspective analysis | | `/comprehensive-review:full-review` | Multi-perspective analysis |
| `/comprehensive-review:pr-enhance` | Enhance pull requests | | `/comprehensive-review:pr-enhance` | Enhance pull requests |
@@ -361,7 +360,7 @@ Compose multiple plugins for complex scenarios:
/unit-testing:test-generate /unit-testing:test-generate
# 4. Review the implementation # 4. Review the implementation
/code-review-ai:ai-review /comprehensive-review:full-review
# 5. Set up CI/CD # 5. Set up CI/CD
/cicd-automation:workflow-automate /cicd-automation:workflow-automate

2
plugins/accessibility-compliance/.claude-plugin/plugin.json
View File

@@ -1,6 +1,6 @@
{ {
"name": "accessibility-compliance", "name": "accessibility-compliance",
"version": "1.2.1", "version": "1.2.2",
"description": "WCAG accessibility auditing, compliance validation, UI testing for screen readers, keyboard navigation, and inclusive design", "description": "WCAG accessibility auditing, compliance validation, UI testing for screen readers, keyboard navigation, and inclusive design",
"author": { "author": {
"name": "Seth Hobson", "name": "Seth Hobson",

7
plugins/accessibility-compliance/skills/screen-reader-testing/SKILL.md
View File

@@ -536,10 +536,3 @@ function logAccessibleName(element) {
- **Don't test only happy path** - Test error states - **Don't test only happy path** - Test error states
- **Don't skip dynamic content** - Most common issues - **Don't skip dynamic content** - Most common issues
- **Don't rely on visual testing** - Different experience - **Don't rely on visual testing** - Different experience
## Resources
- [VoiceOver User Guide](https://support.apple.com/guide/voiceover/welcome/mac)
- [NVDA User Guide](https://www.nvaccess.org/files/nvda/documentation/userGuide.html)
- [JAWS Documentation](https://support.freedomscientific.com/Products/Blindness/JAWS)
- [WebAIM Screen Reader Survey](https://webaim.org/projects/screenreadersurvey/)

7
plugins/accessibility-compliance/skills/wcag-audit-patterns/SKILL.md
View File

@@ -546,10 +546,3 @@ class AccessibleDropdown extends HTMLElement {
- **Don't hide focus outlines** - Keyboard users need them - **Don't hide focus outlines** - Keyboard users need them
- **Don't disable zoom** - Users need to resize - **Don't disable zoom** - Users need to resize
- **Don't use color alone** - Multiple indicators needed - **Don't use color alone** - Multiple indicators needed
## Resources
- [WCAG 2.2 Guidelines](https://www.w3.org/TR/WCAG22/)
- [WebAIM](https://webaim.org/)
- [A11y Project Checklist](https://www.a11yproject.com/checklist/)
- [axe DevTools](https://www.deque.com/axe/)

2
plugins/agent-orchestration/.claude-plugin/plugin.json
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@@ -1,6 +1,6 @@
{ {
"name": "agent-orchestration", "name": "agent-orchestration",
"version": "1.2.0", "version": "1.2.1",
"description": "Multi-agent system optimization, agent improvement workflows, and context management", "description": "Multi-agent system optimization, agent improvement workflows, and context management",
"author": { "author": {
"name": "Seth Hobson", "name": "Seth Hobson",

2
plugins/agent-orchestration/commands/multi-agent-optimize.md
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@@ -146,7 +146,7 @@ class CostOptimizer:
self.token_budget = 100000 # Monthly budget self.token_budget = 100000 # Monthly budget
self.token_usage = 0 self.token_usage = 0
self.model_costs = { self.model_costs = {
'gpt-5': 0.03, 'gpt-5.2': 0.03,
'claude-4-sonnet': 0.015, 'claude-4-sonnet': 0.015,
'claude-4-haiku': 0.0025 'claude-4-haiku': 0.0025
} }

2
plugins/api-scaffolding/.claude-plugin/plugin.json
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@@ -1,6 +1,6 @@
{ {
"name": "api-scaffolding", "name": "api-scaffolding",
"version": "1.2.1", "version": "1.2.2",
"description": "REST and GraphQL API scaffolding, framework selection, backend architecture, and API generation", "description": "REST and GraphQL API scaffolding, framework selection, backend architecture, and API generation",
"author": { "author": {
"name": "Seth Hobson", "name": "Seth Hobson",

12
plugins/api-scaffolding/agents/backend-architect.md
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@@ -44,7 +44,7 @@ Design backend systems with clear boundaries, well-defined contracts, and resili
- **Service boundaries**: Domain-Driven Design, bounded contexts, service decomposition - **Service boundaries**: Domain-Driven Design, bounded contexts, service decomposition
- **Service communication**: Synchronous (REST, gRPC), asynchronous (message queues, events) - **Service communication**: Synchronous (REST, gRPC), asynchronous (message queues, events)
- **Service discovery**: Consul, etcd, Eureka, Kubernetes service discovery - **Service discovery**: Consul, etcd, Eureka, Kubernetes service discovery
- **API Gateway**: Kong, Ambassador, AWS API Gateway, Azure API Management - **API Gateway**: Kong, Ambassador, AWS API Gateway, Azure API Management, OCI API Gateway
- **Service mesh**: Istio, Linkerd, traffic management, observability, security - **Service mesh**: Istio, Linkerd, traffic management, observability, security
- **Backend-for-Frontend (BFF)**: Client-specific backends, API aggregation - **Backend-for-Frontend (BFF)**: Client-specific backends, API aggregation
- **Strangler pattern**: Gradual migration, legacy system integration - **Strangler pattern**: Gradual migration, legacy system integration
@@ -54,8 +54,8 @@ Design backend systems with clear boundaries, well-defined contracts, and resili
### Event-Driven Architecture ### Event-Driven Architecture
- **Message queues**: RabbitMQ, AWS SQS, Azure Service Bus, Google Pub/Sub - **Message queues**: RabbitMQ, AWS SQS, Azure Service Bus, Google Pub/Sub, OCI Queue
- **Event streaming**: Kafka, AWS Kinesis, Azure Event Hubs, NATS - **Event streaming**: Kafka, AWS Kinesis, Azure Event Hubs, Google Pub/Sub, OCI Streaming, NATS
- **Pub/Sub patterns**: Topic-based, content-based filtering, fan-out - **Pub/Sub patterns**: Topic-based, content-based filtering, fan-out
- **Event sourcing**: Event store, event replay, snapshots, projections - **Event sourcing**: Event store, event replay, snapshots, projections
- **Event-driven microservices**: Event choreography, event collaboration - **Event-driven microservices**: Event choreography, event collaboration
@@ -86,10 +86,10 @@ Design backend systems with clear boundaries, well-defined contracts, and resili
- **CSRF protection**: Token-based, SameSite cookies, double-submit patterns - **CSRF protection**: Token-based, SameSite cookies, double-submit patterns
- **SQL injection prevention**: Parameterized queries, ORM usage, input validation - **SQL injection prevention**: Parameterized queries, ORM usage, input validation
- **API security**: API keys, OAuth scopes, request signing, encryption - **API security**: API keys, OAuth scopes, request signing, encryption
- **Secrets management**: Vault, AWS Secrets Manager, environment variables - **Secrets management**: Vault, AWS Secrets Manager, Azure Key Vault, OCI Vault, environment variables
- **Content Security Policy**: Headers, XSS prevention, frame protection - **Content Security Policy**: Headers, XSS prevention, frame protection
- **API throttling**: Quota management, burst limits, backpressure - **API throttling**: Quota management, burst limits, backpressure
- **DDoS protection**: CloudFlare, AWS Shield, rate limiting, IP blocking - **DDoS protection**: CloudFlare, AWS Shield, Azure DDoS Protection, OCI WAF, rate limiting, IP blocking
### Resilience & Fault Tolerance ### Resilience & Fault Tolerance
@@ -168,7 +168,7 @@ Design backend systems with clear boundaries, well-defined contracts, and resili
### API Gateway & Load Balancing ### API Gateway & Load Balancing
- **Gateway patterns**: Authentication, rate limiting, request routing, transformation - **Gateway patterns**: Authentication, rate limiting, request routing, transformation
- **Gateway technologies**: Kong, Traefik, Envoy, AWS API Gateway, NGINX - **Gateway technologies**: Kong, Traefik, Envoy, AWS API Gateway, Azure API Management, OCI API Gateway, NGINX
- **Load balancing**: Round-robin, least connections, consistent hashing, health-aware - **Load balancing**: Round-robin, least connections, consistent hashing, health-aware
- **Service routing**: Path-based, header-based, weighted routing, A/B testing - **Service routing**: Path-based, header-based, weighted routing, A/B testing
- **Traffic management**: Canary deployments, blue-green, traffic splitting - **Traffic management**: Canary deployments, blue-green, traffic splitting

27
plugins/api-scaffolding/skills/fastapi-templates/SKILL.md
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@@ -538,30 +538,3 @@ async def test_create_user(client):
assert data["email"] == "test@example.com" assert data["email"] == "test@example.com"
assert "id" in data assert "id" in data
``` ```
## Resources
- **references/fastapi-architecture.md**: Detailed architecture guide
- **references/async-best-practices.md**: Async/await patterns
- **references/testing-strategies.md**: Comprehensive testing guide
- **assets/project-template/**: Complete FastAPI project
- **assets/docker-compose.yml**: Development environment setup
## Best Practices
1. **Async All The Way**: Use async for database, external APIs
2. **Dependency Injection**: Leverage FastAPI's DI system
3. **Repository Pattern**: Separate data access from business logic
4. **Service Layer**: Keep business logic out of routes
5. **Pydantic Schemas**: Strong typing for request/response
6. **Error Handling**: Consistent error responses
7. **Testing**: Test all layers independently
## Common Pitfalls
- **Blocking Code in Async**: Using synchronous database drivers
- **No Service Layer**: Business logic in route handlers
- **Missing Type Hints**: Loses FastAPI's benefits
- **Ignoring Sessions**: Not properly managing database sessions
- **No Testing**: Skipping integration tests
- **Tight Coupling**: Direct database access in routes

8
plugins/application-performance/agents/observability-engineer.md
View File

@@ -20,6 +20,7 @@ Expert observability engineer specializing in comprehensive monitoring strategie
- DataDog enterprise monitoring with custom metrics and synthetic monitoring - DataDog enterprise monitoring with custom metrics and synthetic monitoring
- New Relic APM integration and performance baseline establishment - New Relic APM integration and performance baseline establishment
- CloudWatch comprehensive AWS service monitoring and cost optimization - CloudWatch comprehensive AWS service monitoring and cost optimization
- OCI Monitoring, Logging, and Logging Analytics for cloud-native telemetry pipelines
- Nagios and Zabbix for traditional infrastructure monitoring - Nagios and Zabbix for traditional infrastructure monitoring
- Custom metrics collection with StatsD, Telegraf, and Collectd - Custom metrics collection with StatsD, Telegraf, and Collectd
- High-cardinality metrics handling and storage optimization - High-cardinality metrics handling and storage optimization
@@ -29,6 +30,7 @@ Expert observability engineer specializing in comprehensive monitoring strategie
- Jaeger distributed tracing deployment and trace analysis - Jaeger distributed tracing deployment and trace analysis
- Zipkin trace collection and service dependency mapping - Zipkin trace collection and service dependency mapping
- AWS X-Ray integration for serverless and microservice architectures - AWS X-Ray integration for serverless and microservice architectures
- OCI Application Performance Monitoring for distributed tracing and service diagnostics
- OpenTracing and OpenTelemetry instrumentation standards - OpenTracing and OpenTelemetry instrumentation standards
- Application Performance Monitoring with detailed transaction tracing - Application Performance Monitoring with detailed transaction tracing
- Service mesh observability with Istio and Envoy telemetry - Service mesh observability with Istio and Envoy telemetry
@@ -88,7 +90,7 @@ Expert observability engineer specializing in comprehensive monitoring strategie
- Kubernetes cluster monitoring with Prometheus Operator - Kubernetes cluster monitoring with Prometheus Operator
- Docker container metrics and resource utilization tracking - Docker container metrics and resource utilization tracking
- Cloud provider monitoring across AWS, Azure, and GCP - Cloud provider monitoring across AWS, Azure, GCP, and OCI
- Database performance monitoring for SQL and NoSQL systems - Database performance monitoring for SQL and NoSQL systems
- Network monitoring and traffic analysis with SNMP and flow data - Network monitoring and traffic analysis with SNMP and flow data
- Server hardware monitoring and predictive maintenance - Server hardware monitoring and predictive maintenance
@@ -189,7 +191,7 @@ Expert observability engineer specializing in comprehensive monitoring strategie
- Cloud-native observability patterns and Kubernetes monitoring with service mesh integration - Cloud-native observability patterns and Kubernetes monitoring with service mesh integration
- Security monitoring and compliance requirements (SOC2, PCI DSS, HIPAA, GDPR) - Security monitoring and compliance requirements (SOC2, PCI DSS, HIPAA, GDPR)
- Machine learning applications in anomaly detection, forecasting, and automated root cause analysis - Machine learning applications in anomaly detection, forecasting, and automated root cause analysis
- Multi-cloud and hybrid monitoring strategies across AWS, Azure, GCP, and on-premises - Multi-cloud and hybrid monitoring strategies across AWS, Azure, GCP, OCI, and on-premises
- Developer experience optimization for observability tooling and shift-left monitoring - Developer experience optimization for observability tooling and shift-left monitoring
- Incident response best practices, post-incident analysis, and blameless postmortem culture - Incident response best practices, post-incident analysis, and blameless postmortem culture
- Cost-effective monitoring strategies scaling from startups to enterprises with budget optimization - Cost-effective monitoring strategies scaling from startups to enterprises with budget optimization
@@ -224,5 +226,5 @@ Expert observability engineer specializing in comprehensive monitoring strategie
- "Create automated incident response workflows with runbook integration and Slack/PagerDuty escalation" - "Create automated incident response workflows with runbook integration and Slack/PagerDuty escalation"
- "Build multi-region observability architecture with data sovereignty compliance" - "Build multi-region observability architecture with data sovereignty compliance"
- "Implement machine learning-based anomaly detection for proactive issue identification" - "Implement machine learning-based anomaly detection for proactive issue identification"
- "Design observability strategy for serverless architecture with AWS Lambda and API Gateway" - "Design observability strategy for serverless architecture with AWS Lambda, API Gateway, and OCI Functions"
- "Create custom metrics pipeline for business KPIs integrated with technical monitoring" - "Create custom metrics pipeline for business KPIs integrated with technical monitoring"

8
plugins/application-performance/agents/performance-engineer.md
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@@ -28,7 +28,7 @@ Expert performance engineer with comprehensive knowledge of modern observability
- **I/O profiling**: Disk I/O optimization, network latency analysis, database query profiling - **I/O profiling**: Disk I/O optimization, network latency analysis, database query profiling
- **Language-specific profiling**: JVM profiling, Python profiling, Node.js profiling, Go profiling - **Language-specific profiling**: JVM profiling, Python profiling, Node.js profiling, Go profiling
- **Container profiling**: Docker performance analysis, Kubernetes resource optimization - **Container profiling**: Docker performance analysis, Kubernetes resource optimization
- **Cloud profiling**: AWS X-Ray, Azure Application Insights, GCP Cloud Profiler - **Cloud profiling**: AWS X-Ray, Azure Application Insights, GCP Cloud Profiler, OCI Application Performance Monitoring
### Modern Load Testing & Performance Validation ### Modern Load Testing & Performance Validation
@@ -44,7 +44,7 @@ Expert performance engineer with comprehensive knowledge of modern observability
- **Application caching**: In-memory caching, object caching, computed value caching - **Application caching**: In-memory caching, object caching, computed value caching
- **Distributed caching**: Redis, Memcached, Hazelcast, cloud cache services - **Distributed caching**: Redis, Memcached, Hazelcast, cloud cache services
- **Database caching**: Query result caching, connection pooling, buffer pool optimization - **Database caching**: Query result caching, connection pooling, buffer pool optimization
- **CDN optimization**: CloudFlare, AWS CloudFront, Azure CDN, edge caching strategies - **CDN optimization**: CloudFlare, AWS CloudFront, Azure CDN, GCP CDN, OCI CDN
- **Browser caching**: HTTP cache headers, service workers, offline-first strategies - **Browser caching**: HTTP cache headers, service workers, offline-first strategies
- **API caching**: Response caching, conditional requests, cache invalidation strategies - **API caching**: Response caching, conditional requests, cache invalidation strategies
@@ -78,7 +78,7 @@ Expert performance engineer with comprehensive knowledge of modern observability
### Cloud Performance Optimization ### Cloud Performance Optimization
- **Auto-scaling optimization**: HPA, VPA, cluster autoscaling, scaling policies - **Auto-scaling optimization**: HPA, VPA, cluster autoscaling, scaling policies
- **Serverless optimization**: Lambda performance, cold start optimization, memory allocation - **Serverless optimization**: Lambda, Azure Functions, Cloud Functions, OCI Functions cold start optimization and memory allocation
- **Container optimization**: Docker image optimization, Kubernetes resource limits - **Container optimization**: Docker image optimization, Kubernetes resource limits
- **Network optimization**: VPC performance, CDN integration, edge computing - **Network optimization**: VPC performance, CDN integration, edge computing
- **Storage optimization**: Disk I/O performance, database performance, object storage - **Storage optimization**: Disk I/O performance, database performance, object storage
@@ -139,7 +139,7 @@ Expert performance engineer with comprehensive knowledge of modern observability
- Load testing strategies and performance validation techniques - Load testing strategies and performance validation techniques
- Caching architectures and strategies across different system layers - Caching architectures and strategies across different system layers
- Frontend and backend performance optimization best practices - Frontend and backend performance optimization best practices
- Cloud platform performance characteristics and optimization opportunities - Cloud platform performance characteristics and optimization opportunities across AWS, Azure, GCP, and OCI
- Database performance tuning and optimization techniques - Database performance tuning and optimization techniques
- Distributed system performance patterns and anti-patterns - Distributed system performance patterns and anti-patterns

12
plugins/backend-api-security/agents/backend-architect.md
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@@ -44,7 +44,7 @@ Design backend systems with clear boundaries, well-defined contracts, and resili
- **Service boundaries**: Domain-Driven Design, bounded contexts, service decomposition - **Service boundaries**: Domain-Driven Design, bounded contexts, service decomposition
- **Service communication**: Synchronous (REST, gRPC), asynchronous (message queues, events) - **Service communication**: Synchronous (REST, gRPC), asynchronous (message queues, events)
- **Service discovery**: Consul, etcd, Eureka, Kubernetes service discovery - **Service discovery**: Consul, etcd, Eureka, Kubernetes service discovery
- **API Gateway**: Kong, Ambassador, AWS API Gateway, Azure API Management - **API Gateway**: Kong, Ambassador, AWS API Gateway, Azure API Management, OCI API Gateway
- **Service mesh**: Istio, Linkerd, traffic management, observability, security - **Service mesh**: Istio, Linkerd, traffic management, observability, security
- **Backend-for-Frontend (BFF)**: Client-specific backends, API aggregation - **Backend-for-Frontend (BFF)**: Client-specific backends, API aggregation
- **Strangler pattern**: Gradual migration, legacy system integration - **Strangler pattern**: Gradual migration, legacy system integration
@@ -54,8 +54,8 @@ Design backend systems with clear boundaries, well-defined contracts, and resili
### Event-Driven Architecture ### Event-Driven Architecture
- **Message queues**: RabbitMQ, AWS SQS, Azure Service Bus, Google Pub/Sub - **Message queues**: RabbitMQ, AWS SQS, Azure Service Bus, Google Pub/Sub, OCI Queue
- **Event streaming**: Kafka, AWS Kinesis, Azure Event Hubs, NATS - **Event streaming**: Kafka, AWS Kinesis, Azure Event Hubs, Google Pub/Sub, OCI Streaming, NATS
- **Pub/Sub patterns**: Topic-based, content-based filtering, fan-out - **Pub/Sub patterns**: Topic-based, content-based filtering, fan-out
- **Event sourcing**: Event store, event replay, snapshots, projections - **Event sourcing**: Event store, event replay, snapshots, projections
- **Event-driven microservices**: Event choreography, event collaboration - **Event-driven microservices**: Event choreography, event collaboration
@@ -86,10 +86,10 @@ Design backend systems with clear boundaries, well-defined contracts, and resili
- **CSRF protection**: Token-based, SameSite cookies, double-submit patterns - **CSRF protection**: Token-based, SameSite cookies, double-submit patterns
- **SQL injection prevention**: Parameterized queries, ORM usage, input validation - **SQL injection prevention**: Parameterized queries, ORM usage, input validation
- **API security**: API keys, OAuth scopes, request signing, encryption - **API security**: API keys, OAuth scopes, request signing, encryption
- **Secrets management**: Vault, AWS Secrets Manager, environment variables - **Secrets management**: Vault, AWS Secrets Manager, Azure Key Vault, OCI Vault, environment variables
- **Content Security Policy**: Headers, XSS prevention, frame protection - **Content Security Policy**: Headers, XSS prevention, frame protection
- **API throttling**: Quota management, burst limits, backpressure - **API throttling**: Quota management, burst limits, backpressure
- **DDoS protection**: CloudFlare, AWS Shield, rate limiting, IP blocking - **DDoS protection**: CloudFlare, AWS Shield, Azure DDoS Protection, OCI WAF, rate limiting, IP blocking
### Resilience & Fault Tolerance ### Resilience & Fault Tolerance
@@ -168,7 +168,7 @@ Design backend systems with clear boundaries, well-defined contracts, and resili
### API Gateway & Load Balancing ### API Gateway & Load Balancing
- **Gateway patterns**: Authentication, rate limiting, request routing, transformation - **Gateway patterns**: Authentication, rate limiting, request routing, transformation
- **Gateway technologies**: Kong, Traefik, Envoy, AWS API Gateway, NGINX - **Gateway technologies**: Kong, Traefik, Envoy, AWS API Gateway, Azure API Management, OCI API Gateway, NGINX
- **Load balancing**: Round-robin, least connections, consistent hashing, health-aware - **Load balancing**: Round-robin, least connections, consistent hashing, health-aware
- **Service routing**: Path-based, header-based, weighted routing, A/B testing - **Service routing**: Path-based, header-based, weighted routing, A/B testing
- **Traffic management**: Canary deployments, blue-green, traffic splitting - **Traffic management**: Canary deployments, blue-green, traffic splitting

5
plugins/backend-api-security/agents/backend-security-coder.md
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@@ -98,8 +98,8 @@ Expert backend security developer with comprehensive knowledge of secure coding
- **Environment configuration**: Secure environment variable management, configuration encryption - **Environment configuration**: Secure environment variable management, configuration encryption
- **Container security**: Secure Docker practices, image scanning, runtime security - **Container security**: Secure Docker practices, image scanning, runtime security
- **Secrets management**: Integration with HashiCorp Vault, AWS Secrets Manager, Azure Key Vault - **Secrets management**: Integration with HashiCorp Vault, AWS Secrets Manager, Azure Key Vault, OCI Vault
- **Network security**: VPC configuration, security groups, network segmentation - **Network security**: VPC/VNet/VCN configuration, security groups, NSGs, network segmentation
- **Identity and access management**: IAM roles, service account security, principle of least privilege - **Identity and access management**: IAM roles, service account security, principle of least privilege
## Behavioral Traits ## Behavioral Traits
@@ -148,5 +148,6 @@ Expert backend security developer with comprehensive knowledge of secure coding
- "Implement secure database queries with parameterization and access controls" - "Implement secure database queries with parameterization and access controls"
- "Set up comprehensive security headers and CSP for web application" - "Set up comprehensive security headers and CSP for web application"
- "Create secure error handling that doesn't leak sensitive information" - "Create secure error handling that doesn't leak sensitive information"
- "Integrate OCI Vault-backed application secrets with secure rotation and least-privilege access"
- "Implement rate limiting and DDoS protection for public API endpoints" - "Implement rate limiting and DDoS protection for public API endpoints"
- "Design secure external service integration with allowlist validation" - "Design secure external service integration with allowlist validation"

2
plugins/backend-development/.claude-plugin/plugin.json
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@@ -1,6 +1,6 @@
{ {
"name": "backend-development", "name": "backend-development",
"version": "1.3.0", "version": "1.3.1",
"description": "Backend API design, GraphQL architecture, workflow orchestration with Temporal, and test-driven backend development", "description": "Backend API design, GraphQL architecture, workflow orchestration with Temporal, and test-driven backend development",
"author": { "author": {
"name": "Seth Hobson", "name": "Seth Hobson",

12
plugins/backend-development/agents/backend-architect.md
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@@ -44,7 +44,7 @@ Design backend systems with clear boundaries, well-defined contracts, and resili
- **Service boundaries**: Domain-Driven Design, bounded contexts, service decomposition - **Service boundaries**: Domain-Driven Design, bounded contexts, service decomposition
- **Service communication**: Synchronous (REST, gRPC), asynchronous (message queues, events) - **Service communication**: Synchronous (REST, gRPC), asynchronous (message queues, events)
- **Service discovery**: Consul, etcd, Eureka, Kubernetes service discovery - **Service discovery**: Consul, etcd, Eureka, Kubernetes service discovery
- **API Gateway**: Kong, Ambassador, AWS API Gateway, Azure API Management - **API Gateway**: Kong, Ambassador, AWS API Gateway, Azure API Management, OCI API Gateway
- **Service mesh**: Istio, Linkerd, traffic management, observability, security - **Service mesh**: Istio, Linkerd, traffic management, observability, security
- **Backend-for-Frontend (BFF)**: Client-specific backends, API aggregation - **Backend-for-Frontend (BFF)**: Client-specific backends, API aggregation
- **Strangler pattern**: Gradual migration, legacy system integration - **Strangler pattern**: Gradual migration, legacy system integration
@@ -54,8 +54,8 @@ Design backend systems with clear boundaries, well-defined contracts, and resili
### Event-Driven Architecture ### Event-Driven Architecture
- **Message queues**: RabbitMQ, AWS SQS, Azure Service Bus, Google Pub/Sub - **Message queues**: RabbitMQ, AWS SQS, Azure Service Bus, Google Pub/Sub, OCI Queue
- **Event streaming**: Kafka, AWS Kinesis, Azure Event Hubs, NATS - **Event streaming**: Kafka, AWS Kinesis, Azure Event Hubs, Google Pub/Sub, OCI Streaming, NATS
- **Pub/Sub patterns**: Topic-based, content-based filtering, fan-out - **Pub/Sub patterns**: Topic-based, content-based filtering, fan-out
- **Event sourcing**: Event store, event replay, snapshots, projections - **Event sourcing**: Event store, event replay, snapshots, projections
- **Event-driven microservices**: Event choreography, event collaboration - **Event-driven microservices**: Event choreography, event collaboration
@@ -86,10 +86,10 @@ Design backend systems with clear boundaries, well-defined contracts, and resili
- **CSRF protection**: Token-based, SameSite cookies, double-submit patterns - **CSRF protection**: Token-based, SameSite cookies, double-submit patterns
- **SQL injection prevention**: Parameterized queries, ORM usage, input validation - **SQL injection prevention**: Parameterized queries, ORM usage, input validation
- **API security**: API keys, OAuth scopes, request signing, encryption - **API security**: API keys, OAuth scopes, request signing, encryption
- **Secrets management**: Vault, AWS Secrets Manager, environment variables - **Secrets management**: Vault, AWS Secrets Manager, Azure Key Vault, OCI Vault, environment variables
- **Content Security Policy**: Headers, XSS prevention, frame protection - **Content Security Policy**: Headers, XSS prevention, frame protection
- **API throttling**: Quota management, burst limits, backpressure - **API throttling**: Quota management, burst limits, backpressure
- **DDoS protection**: CloudFlare, AWS Shield, rate limiting, IP blocking - **DDoS protection**: CloudFlare, AWS Shield, Azure DDoS Protection, OCI WAF, rate limiting, IP blocking
### Resilience & Fault Tolerance ### Resilience & Fault Tolerance
@@ -168,7 +168,7 @@ Design backend systems with clear boundaries, well-defined contracts, and resili
### API Gateway & Load Balancing ### API Gateway & Load Balancing
- **Gateway patterns**: Authentication, rate limiting, request routing, transformation - **Gateway patterns**: Authentication, rate limiting, request routing, transformation
- **Gateway technologies**: Kong, Traefik, Envoy, AWS API Gateway, NGINX - **Gateway technologies**: Kong, Traefik, Envoy, AWS API Gateway, Azure API Management, OCI API Gateway, NGINX
- **Load balancing**: Round-robin, least connections, consistent hashing, health-aware - **Load balancing**: Round-robin, least connections, consistent hashing, health-aware
- **Service routing**: Path-based, header-based, weighted routing, A/B testing - **Service routing**: Path-based, header-based, weighted routing, A/B testing
- **Traffic management**: Canary deployments, blue-green, traffic splitting - **Traffic management**: Canary deployments, blue-green, traffic splitting

10
plugins/backend-development/skills/api-design-principles/SKILL.md
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@@ -516,13 +516,3 @@ def create_context():
- **Poor Documentation**: Undocumented APIs frustrate developers - **Poor Documentation**: Undocumented APIs frustrate developers
- **Ignoring HTTP Semantics**: POST for idempotent operations breaks expectations - **Ignoring HTTP Semantics**: POST for idempotent operations breaks expectations
- **Tight Coupling**: API structure shouldn't mirror database schema - **Tight Coupling**: API structure shouldn't mirror database schema
## Resources
- **references/rest-best-practices.md**: Comprehensive REST API design guide
- **references/graphql-schema-design.md**: GraphQL schema patterns and anti-patterns
- **references/api-versioning-strategies.md**: Versioning approaches and migration paths
- **assets/rest-api-template.py**: FastAPI REST API template
- **assets/graphql-schema-template.graphql**: Complete GraphQL schema example
- **assets/api-design-checklist.md**: Pre-implementation review checklist
- **scripts/openapi-generator.py**: Generate OpenAPI specs from code

28
plugins/backend-development/skills/architecture-patterns/SKILL.md
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@@ -464,31 +464,3 @@ class OrderRepository:
await self._publish_events(order._events) await self._publish_events(order._events)
order._events.clear() order._events.clear()
``` ```
## Resources
- **references/clean-architecture-guide.md**: Detailed layer breakdown
- **references/hexagonal-architecture-guide.md**: Ports and adapters patterns
- **references/ddd-tactical-patterns.md**: Entities, value objects, aggregates
- **assets/clean-architecture-template/**: Complete project structure
- **assets/ddd-examples/**: Domain modeling examples
## Best Practices
1. **Dependency Rule**: Dependencies always point inward
2. **Interface Segregation**: Small, focused interfaces
3. **Business Logic in Domain**: Keep frameworks out of core
4. **Test Independence**: Core testable without infrastructure
5. **Bounded Contexts**: Clear domain boundaries
6. **Ubiquitous Language**: Consistent terminology
7. **Thin Controllers**: Delegate to use cases
8. **Rich Domain Models**: Behavior with data
## Common Pitfalls
- **Anemic Domain**: Entities with only data, no behavior
- **Framework Coupling**: Business logic depends on frameworks
- **Fat Controllers**: Business logic in controllers
- **Repository Leakage**: Exposing ORM objects
- **Missing Abstractions**: Concrete dependencies in core
- **Over-Engineering**: Clean architecture for simple CRUD

5
plugins/backend-development/skills/cqrs-implementation/SKILL.md
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@@ -547,8 +547,3 @@ class ConsistentQueryHandler:
- **Don't couple read/write schemas** - Independent evolution - **Don't couple read/write schemas** - Independent evolution
- **Don't over-engineer** - Start simple - **Don't over-engineer** - Start simple
- **Don't ignore consistency SLAs** - Define acceptable lag - **Don't ignore consistency SLAs** - Define acceptable lag
## Resources
- [CQRS Pattern](https://martinfowler.com/bliki/CQRS.html)
- [Microsoft CQRS Guidance](https://docs.microsoft.com/en-us/azure/architecture/patterns/cqrs)

6
plugins/backend-development/skills/event-store-design/SKILL.md
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@@ -429,9 +429,3 @@ Capacity: On-demand or provisioned based on throughput needs
- **Don't store large payloads** - Keep events small - **Don't store large payloads** - Keep events small
- **Don't skip optimistic concurrency** - Prevents data corruption - **Don't skip optimistic concurrency** - Prevents data corruption
- **Don't ignore backpressure** - Handle slow consumers - **Don't ignore backpressure** - Handle slow consumers
## Resources
- [EventStoreDB](https://www.eventstore.com/)
- [Marten Events](https://martendb.io/events/)
- [Event Sourcing Pattern](https://docs.microsoft.com/en-us/azure/architecture/patterns/event-sourcing)

31
plugins/backend-development/skills/microservices-patterns/SKILL.md
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@@ -562,34 +562,3 @@ async def call_payment_service(payment_data: dict):
payment_data payment_data
) )
``` ```
## Resources
- **references/service-decomposition-guide.md**: Breaking down monoliths
- **references/communication-patterns.md**: Sync vs async patterns
- **references/saga-implementation.md**: Distributed transactions
- **assets/circuit-breaker.py**: Production circuit breaker
- **assets/event-bus-template.py**: Kafka event bus implementation
- **assets/api-gateway-template.py**: Complete API gateway
## Best Practices
1. **Service Boundaries**: Align with business capabilities
2. **Database Per Service**: No shared databases
3. **API Contracts**: Versioned, backward compatible
4. **Async When Possible**: Events over direct calls
5. **Circuit Breakers**: Fail fast on service failures
6. **Distributed Tracing**: Track requests across services
7. **Service Registry**: Dynamic service discovery
8. **Health Checks**: Liveness and readiness probes
## Common Pitfalls
- **Distributed Monolith**: Tightly coupled services
- **Chatty Services**: Too many inter-service calls
- **Shared Databases**: Tight coupling through data
- **No Circuit Breakers**: Cascade failures
- **Synchronous Everything**: Tight coupling, poor resilience
- **Premature Microservices**: Starting with microservices
- **Ignoring Network Failures**: Assuming reliable network
- **No Compensation Logic**: Can't undo failed transactions

5
plugins/backend-development/skills/projection-patterns/SKILL.md
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@@ -483,8 +483,3 @@ class CustomerActivityProjection(Projection):
- **Don't skip error handling** - Log and alert on failures - **Don't skip error handling** - Log and alert on failures
- **Don't ignore ordering** - Events must be processed in order - **Don't ignore ordering** - Events must be processed in order
- **Don't over-normalize** - Denormalize for query patterns - **Don't over-normalize** - Denormalize for query patterns
## Resources
- [CQRS Pattern](https://docs.microsoft.com/en-us/azure/architecture/patterns/cqrs)
- [Projection Building Blocks](https://zimarev.com/blog/event-sourcing/projections/)

5
plugins/backend-development/skills/saga-orchestration/SKILL.md
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@@ -477,8 +477,3 @@ class TimeoutSagaOrchestrator(SagaOrchestrator):
- **Don't skip compensation testing** - Most critical part - **Don't skip compensation testing** - Most critical part
- **Don't couple services** - Use async messaging - **Don't couple services** - Use async messaging
- **Don't ignore partial failures** - Handle gracefully - **Don't ignore partial failures** - Handle gracefully
## Resources
- [Saga Pattern](https://microservices.io/patterns/data/saga.html)
- [Designing Data-Intensive Applications](https://dataintensive.net/)

2
plugins/blockchain-web3/.claude-plugin/plugin.json
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@@ -1,6 +1,6 @@
{ {
"name": "blockchain-web3", "name": "blockchain-web3",
"version": "1.2.1", "version": "1.2.2",
"description": "Smart contract development with Solidity, DeFi protocol implementation, NFT platforms, and Web3 application architecture", "description": "Smart contract development with Solidity, DeFi protocol implementation, NFT platforms, and Web3 application architecture",
"author": { "author": {
"name": "Seth Hobson", "name": "Seth Hobson",

30
plugins/blockchain-web3/skills/defi-protocol-templates/SKILL.md
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@@ -422,33 +422,3 @@ contract FlashLoanReceiver is IFlashLoanReceiver {
} }
} }
``` ```
## Resources
- **references/staking.md**: Staking mechanics and reward distribution
- **references/liquidity-pools.md**: AMM mathematics and pricing
- **references/governance-tokens.md**: Governance and voting systems
- **references/lending-protocols.md**: Lending/borrowing implementation
- **references/flash-loans.md**: Flash loan security and use cases
- **assets/staking-contract.sol**: Production staking template
- **assets/amm-contract.sol**: Full AMM implementation
- **assets/governance-token.sol**: Governance system
- **assets/lending-protocol.sol**: Lending platform template
## Best Practices
1. **Use Established Libraries**: OpenZeppelin, Solmate
2. **Test Thoroughly**: Unit tests, integration tests, fuzzing
3. **Audit Before Launch**: Professional security audits
4. **Start Simple**: MVP first, add features incrementally
5. **Monitor**: Track contract health and user activity
6. **Upgradability**: Consider proxy patterns for upgrades
7. **Emergency Controls**: Pause mechanisms for critical issues
## Common DeFi Patterns
- **Time-Weighted Average Price (TWAP)**: Price oracle resistance
- **Liquidity Mining**: Incentivize liquidity provision
- **Vesting**: Lock tokens with gradual release
- **Multisig**: Require multiple signatures for critical operations
- **Timelocks**: Delay execution of governance decisions

28
plugins/blockchain-web3/skills/nft-standards/SKILL.md
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@@ -353,31 +353,3 @@ contract OptimizedNFT is ERC721A {
} }
} }
``` ```
## Resources
- **references/erc721.md**: ERC-721 specification details
- **references/erc1155.md**: ERC-1155 multi-token standard
- **references/metadata-standards.md**: Metadata best practices
- **references/enumeration.md**: Token enumeration patterns
- **assets/erc721-contract.sol**: Production ERC-721 template
- **assets/erc1155-contract.sol**: Production ERC-1155 template
- **assets/metadata-schema.json**: Standard metadata format
- **assets/metadata-uploader.py**: IPFS upload utility
## Best Practices
1. **Use OpenZeppelin**: Battle-tested implementations
2. **Pin Metadata**: Use IPFS with pinning service
3. **Implement Royalties**: EIP-2981 for marketplace compatibility
4. **Gas Optimization**: Use ERC721A for batch minting
5. **Reveal Mechanism**: Placeholder → reveal pattern
6. **Enumeration**: Support walletOfOwner for marketplaces
7. **Whitelist**: Merkle trees for efficient whitelisting
## Marketplace Integration
- OpenSea: ERC-721/1155, metadata standards
- LooksRare: Royalty enforcement
- Rarible: Protocol fees, lazy minting
- Blur: Gas-optimized trading

29
plugins/blockchain-web3/skills/solidity-security/SKILL.md
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@@ -494,32 +494,3 @@ contract WellDocumentedContract {
} }
} }
``` ```
## Resources
- **references/reentrancy.md**: Comprehensive reentrancy prevention
- **references/access-control.md**: Role-based access patterns
- **references/overflow-underflow.md**: SafeMath and integer safety
- **references/gas-optimization.md**: Gas saving techniques
- **references/vulnerability-patterns.md**: Common vulnerability catalog
- **assets/solidity-contracts-templates.sol**: Secure contract templates
- **assets/security-checklist.md**: Pre-audit checklist
- **scripts/analyze-contract.sh**: Static analysis tools
## Tools for Security Analysis
- **Slither**: Static analysis tool
- **Mythril**: Security analysis tool
- **Echidna**: Fuzzing tool
- **Manticore**: Symbolic execution
- **Securify**: Automated security scanner
## Common Pitfalls
1. **Using `tx.origin` for Authentication**: Use `msg.sender` instead
2. **Unchecked External Calls**: Always check return values
3. **Delegatecall to Untrusted Contracts**: Can hijack your contract
4. **Floating Pragma**: Pin to specific Solidity version
5. **Missing Events**: Emit events for state changes
6. **Excessive Gas in Loops**: Can hit block gas limit
7. **No Upgrade Path**: Consider proxy patterns if upgrades needed

25
plugins/blockchain-web3/skills/web3-testing/SKILL.md
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@@ -388,28 +388,3 @@ jobs:
- name: Upload coverage to Codecov - name: Upload coverage to Codecov
uses: codecov/codecov-action@v2 uses: codecov/codecov-action@v2
``` ```
## Resources
- **references/hardhat-setup.md**: Hardhat configuration guide
- **references/foundry-setup.md**: Foundry testing framework
- **references/test-patterns.md**: Testing best practices
- **references/mainnet-forking.md**: Fork testing strategies
- **references/contract-verification.md**: Etherscan verification
- **assets/hardhat-config.js**: Complete Hardhat configuration
- **assets/test-suite.js**: Comprehensive test examples
- **assets/foundry.toml**: Foundry configuration
- **scripts/test-contract.sh**: Automated testing script
## Best Practices
1. **Test Coverage**: Aim for >90% coverage
2. **Edge Cases**: Test boundary conditions
3. **Gas Limits**: Verify functions don't hit block gas limit
4. **Reentrancy**: Test for reentrancy vulnerabilities
5. **Access Control**: Test unauthorized access attempts
6. **Events**: Verify event emissions
7. **Fixtures**: Use fixtures to avoid code duplication
8. **Mainnet Fork**: Test with real contracts
9. **Fuzzing**: Use property-based testing
10. **CI/CD**: Automate testing on every commit

2
plugins/business-analytics/.claude-plugin/plugin.json
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@@ -1,6 +1,6 @@
{ {
"name": "business-analytics", "name": "business-analytics",
"version": "1.2.1", "version": "1.2.2",
"description": "Business metrics analysis, KPI tracking, financial reporting, and data-driven decision making", "description": "Business metrics analysis, KPI tracking, financial reporting, and data-driven decision making",
"author": { "author": {
"name": "Seth Hobson", "name": "Seth Hobson",

6
plugins/business-analytics/skills/data-storytelling/SKILL.md
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@@ -445,9 +445,3 @@ Present ranges:
- **Don't use jargon** - Match audience vocabulary - **Don't use jargon** - Match audience vocabulary
- **Don't show methodology first** - Context, then method - **Don't show methodology first** - Context, then method
- **Don't forget the narrative** - Numbers need meaning - **Don't forget the narrative** - Numbers need meaning
## Resources
- [Storytelling with Data (Cole Nussbaumer)](https://www.storytellingwithdata.com/)
- [The Pyramid Principle (Barbara Minto)](https://www.amazon.com/Pyramid-Principle-Logic-Writing-Thinking/dp/0273710516)
- [Resonate (Nancy Duarte)](https://www.duarte.com/resonate/)

6
plugins/business-analytics/skills/kpi-dashboard-design/SKILL.md
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@@ -420,9 +420,3 @@ for alert in alerts:
- **Don't use 3D charts** - They distort perception - **Don't use 3D charts** - They distort perception
- **Don't hide methodology** - Document calculations - **Don't hide methodology** - Document calculations
- **Don't ignore mobile** - Ensure responsive design - **Don't ignore mobile** - Ensure responsive design
## Resources
- [Stephen Few's Dashboard Design](https://www.perceptualedge.com/articles/visual_business_intelligence/rules_for_using_color.pdf)
- [Edward Tufte's Principles](https://www.edwardtufte.com/tufte/)
- [Google Data Studio Gallery](https://datastudio.google.com/gallery)

2
plugins/c4-architecture/commands/c4-architecture.md
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@@ -159,7 +159,7 @@ For each identified component:
- Kubernetes manifests (deployments, services, etc.) - Kubernetes manifests (deployments, services, etc.)
- Docker Compose files - Docker Compose files
- Terraform/CloudFormation configs - Terraform/CloudFormation configs
- Cloud service definitions (AWS Lambda, Azure Functions, etc.) - Cloud service definitions (AWS Lambda, Azure Functions, OCI Functions, etc.)
- CI/CD pipeline definitions - CI/CD pipeline definitions
### 3.2 Map Components to Containers ### 3.2 Map Components to Containers

2
plugins/cicd-automation/.claude-plugin/plugin.json
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@@ -1,6 +1,6 @@
{ {
"name": "cicd-automation", "name": "cicd-automation",
"version": "1.2.1", "version": "1.2.2",
"description": "CI/CD pipeline configuration, GitHub Actions/GitLab CI workflow setup, and automated deployment pipeline orchestration", "description": "CI/CD pipeline configuration, GitHub Actions/GitLab CI workflow setup, and automated deployment pipeline orchestration",
"author": { "author": {
"name": "Seth Hobson", "name": "Seth Hobson",

20
plugins/cicd-automation/agents/cloud-architect.md
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@@ -1,6 +1,6 @@
--- ---
name: cloud-architect name: cloud-architect
description: Expert cloud architect specializing in AWS/Azure/GCP multi-cloud infrastructure design, advanced IaC (Terraform/OpenTofu/CDK), FinOps cost optimization, and modern architectural patterns. Masters serverless, microservices, security, compliance, and disaster recovery. Use PROACTIVELY for cloud architecture, cost optimization, migration planning, or multi-cloud strategies. description: Expert cloud architect specializing in AWS/Azure/GCP/OCI multi-cloud infrastructure design, advanced IaC (Terraform/OpenTofu/CDK), FinOps cost optimization, and modern architectural patterns. Masters serverless, microservices, security, compliance, and disaster recovery. Use PROACTIVELY for cloud architecture, cost optimization, migration planning, or multi-cloud strategies.
model: opus model: opus
--- ---
@@ -8,7 +8,7 @@ You are a cloud architect specializing in scalable, cost-effective, and secure m
## Purpose ## Purpose
Expert cloud architect with deep knowledge of AWS, Azure, GCP, and emerging cloud technologies. Masters Infrastructure as Code, FinOps practices, and modern architectural patterns including serverless, microservices, and event-driven architectures. Specializes in cost optimization, security best practices, and building resilient, scalable systems. Expert cloud architect with deep knowledge of AWS, Azure, GCP, OCI, and emerging cloud technologies. Masters Infrastructure as Code, FinOps practices, and modern architectural patterns including serverless, microservices, and event-driven architectures. Specializes in cost optimization, security best practices, and building resilient, scalable systems.
## Capabilities ## Capabilities
@@ -16,21 +16,22 @@ Expert cloud architect with deep knowledge of AWS, Azure, GCP, and emerging clou
- **AWS**: EC2, Lambda, EKS, RDS, S3, VPC, IAM, CloudFormation, CDK, Well-Architected Framework - **AWS**: EC2, Lambda, EKS, RDS, S3, VPC, IAM, CloudFormation, CDK, Well-Architected Framework
- **Azure**: Virtual Machines, Functions, AKS, SQL Database, Blob Storage, Virtual Network, ARM templates, Bicep - **Azure**: Virtual Machines, Functions, AKS, SQL Database, Blob Storage, Virtual Network, ARM templates, Bicep
- **Google Cloud**: Compute Engine, Cloud Functions, GKE, Cloud SQL, Cloud Storage, VPC, Cloud Deployment Manager - **Google Cloud**: Compute Engine, Cloud Functions, GKE, Cloud SQL, Cloud Storage, VPC, Infrastructure Manager
- **Oracle Cloud Infrastructure**: Compute, Functions, OKE, Autonomous Database, Object Storage, VCN, IAM, Resource Manager, FastConnect
- **Multi-cloud strategies**: Cross-cloud networking, data replication, disaster recovery, vendor lock-in mitigation - **Multi-cloud strategies**: Cross-cloud networking, data replication, disaster recovery, vendor lock-in mitigation
- **Edge computing**: CloudFlare, AWS CloudFront, Azure CDN, edge functions, IoT architectures - **Edge computing**: CloudFlare, AWS CloudFront, Azure CDN, edge functions, IoT architectures
### Infrastructure as Code Mastery ### Infrastructure as Code Mastery
- **Terraform/OpenTofu**: Advanced module design, state management, workspaces, provider configurations - **Terraform/OpenTofu**: Advanced module design, state management, workspaces, provider configurations
- **Native IaC**: CloudFormation (AWS), ARM/Bicep (Azure), Cloud Deployment Manager (GCP) - **Native IaC**: CloudFormation (AWS), ARM/Bicep (Azure), Infrastructure Manager (GCP), Resource Manager (OCI)
- **Modern IaC**: AWS CDK, Azure CDK, Pulumi with TypeScript/Python/Go - **Modern IaC**: AWS CDK, Azure CDK, Pulumi with TypeScript/Python/Go
- **GitOps**: Infrastructure automation with ArgoCD, Flux, GitHub Actions, GitLab CI/CD - **GitOps**: Infrastructure automation with ArgoCD, Flux, GitHub Actions, GitLab CI/CD
- **Policy as Code**: Open Policy Agent (OPA), AWS Config, Azure Policy, GCP Organization Policy - **Policy as Code**: Open Policy Agent (OPA), AWS Config, Azure Policy, GCP Organization Policy, OCI Cloud Guard
### Cost Optimization & FinOps ### Cost Optimization & FinOps
- **Cost monitoring**: CloudWatch, Azure Cost Management, GCP Cost Management, third-party tools (CloudHealth, Cloudability) - **Cost monitoring**: CloudWatch, Azure Cost Management, GCP Cost Management, OCI Cost Analysis/Budgets, third-party tools (CloudHealth, Cloudability)
- **Resource optimization**: Right-sizing recommendations, reserved instances, spot instances, committed use discounts - **Resource optimization**: Right-sizing recommendations, reserved instances, spot instances, committed use discounts
- **Cost allocation**: Tagging strategies, chargeback models, showback reporting - **Cost allocation**: Tagging strategies, chargeback models, showback reporting
- **FinOps practices**: Cost anomaly detection, budget alerts, optimization automation - **FinOps practices**: Cost anomaly detection, budget alerts, optimization automation
@@ -69,8 +70,8 @@ Expert cloud architect with deep knowledge of AWS, Azure, GCP, and emerging clou
### Modern DevOps Integration ### Modern DevOps Integration
- **CI/CD pipelines**: GitHub Actions, GitLab CI, Azure DevOps, AWS CodePipeline - **CI/CD pipelines**: GitHub Actions, GitLab CI, Azure DevOps, AWS CodePipeline, OCI DevOps
- **Container orchestration**: EKS, AKS, GKE, self-managed Kubernetes - **Container orchestration**: EKS, AKS, GKE, OKE, self-managed Kubernetes
- **Observability**: Prometheus, Grafana, DataDog, New Relic, OpenTelemetry - **Observability**: Prometheus, Grafana, DataDog, New Relic, OpenTelemetry
- **Infrastructure testing**: Terratest, InSpec, Checkov, Terrascan - **Infrastructure testing**: Terratest, InSpec, Checkov, Terrascan
@@ -94,7 +95,7 @@ Expert cloud architect with deep knowledge of AWS, Azure, GCP, and emerging clou
## Knowledge Base ## Knowledge Base
- AWS, Azure, GCP service catalogs and pricing models - AWS, Azure, GCP, OCI service catalogs and pricing models
- Cloud provider security best practices and compliance standards - Cloud provider security best practices and compliance standards
- Infrastructure as Code tools and best practices - Infrastructure as Code tools and best practices
- FinOps methodologies and cost optimization strategies - FinOps methodologies and cost optimization strategies
@@ -119,6 +120,7 @@ Expert cloud architect with deep knowledge of AWS, Azure, GCP, and emerging clou
- "Design a multi-region, auto-scaling web application architecture on AWS with estimated monthly costs" - "Design a multi-region, auto-scaling web application architecture on AWS with estimated monthly costs"
- "Create a hybrid cloud strategy connecting on-premises data center with Azure" - "Create a hybrid cloud strategy connecting on-premises data center with Azure"
- "Optimize our GCP infrastructure costs while maintaining performance and availability" - "Optimize our GCP infrastructure costs while maintaining performance and availability"
- "Design a regulated workload architecture spanning OCI and AWS with disaster recovery targets"
- "Design a serverless event-driven architecture for real-time data processing" - "Design a serverless event-driven architecture for real-time data processing"
- "Plan a migration from monolithic application to microservices on Kubernetes" - "Plan a migration from monolithic application to microservices on Kubernetes"
- "Implement a disaster recovery solution with 4-hour RTO across multiple cloud providers" - "Implement a disaster recovery solution with 4-hour RTO across multiple cloud providers"

7
plugins/cicd-automation/agents/devops-troubleshooter.md
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@@ -17,7 +17,7 @@ Expert DevOps troubleshooter with comprehensive knowledge of modern observabilit
- **Logging platforms**: ELK Stack (Elasticsearch, Logstash, Kibana), Loki/Grafana, Fluentd/Fluent Bit - **Logging platforms**: ELK Stack (Elasticsearch, Logstash, Kibana), Loki/Grafana, Fluentd/Fluent Bit
- **APM solutions**: DataDog, New Relic, Dynatrace, AppDynamics, Instana, Honeycomb - **APM solutions**: DataDog, New Relic, Dynatrace, AppDynamics, Instana, Honeycomb
- **Metrics & monitoring**: Prometheus, Grafana, InfluxDB, VictoriaMetrics, Thanos - **Metrics & monitoring**: Prometheus, Grafana, InfluxDB, VictoriaMetrics, Thanos
- **Distributed tracing**: Jaeger, Zipkin, AWS X-Ray, OpenTelemetry, custom tracing - **Distributed tracing**: Jaeger, Zipkin, AWS X-Ray, OCI Application Performance Monitoring, OpenTelemetry, custom tracing
- **Cloud-native observability**: OpenTelemetry collector, service mesh observability - **Cloud-native observability**: OpenTelemetry collector, service mesh observability
- **Synthetic monitoring**: Pingdom, Datadog Synthetics, custom health checks - **Synthetic monitoring**: Pingdom, Datadog Synthetics, custom health checks
@@ -34,7 +34,7 @@ Expert DevOps troubleshooter with comprehensive knowledge of modern observabilit
- **Network analysis**: tcpdump, Wireshark, eBPF-based tools, network latency analysis - **Network analysis**: tcpdump, Wireshark, eBPF-based tools, network latency analysis
- **DNS debugging**: dig, nslookup, DNS propagation, service discovery issues - **DNS debugging**: dig, nslookup, DNS propagation, service discovery issues
- **Load balancer issues**: AWS ALB/NLB, Azure Load Balancer, GCP Load Balancer debugging - **Load balancer issues**: AWS ALB/NLB, Azure Load Balancer, GCP Load Balancer, OCI Load Balancer debugging
- **Firewall & security groups**: Network policies, security group misconfigurations - **Firewall & security groups**: Network policies, security group misconfigurations
- **Service mesh networking**: Traffic routing, circuit breaker issues, retry policies - **Service mesh networking**: Traffic routing, circuit breaker issues, retry policies
- **Cloud networking**: VPC connectivity, peering issues, NAT gateway problems - **Cloud networking**: VPC connectivity, peering issues, NAT gateway problems
@@ -71,8 +71,9 @@ Expert DevOps troubleshooter with comprehensive knowledge of modern observabilit
- **AWS debugging**: CloudWatch analysis, AWS CLI troubleshooting, service-specific issues - **AWS debugging**: CloudWatch analysis, AWS CLI troubleshooting, service-specific issues
- **Azure troubleshooting**: Azure Monitor, PowerShell debugging, resource group issues - **Azure troubleshooting**: Azure Monitor, PowerShell debugging, resource group issues
- **GCP debugging**: Cloud Logging, gcloud CLI, service account problems - **GCP debugging**: Cloud Logging, gcloud CLI, service account problems
- **OCI troubleshooting**: OCI Logging and Monitoring, `oci` CLI debugging, compartment and IAM policy issues
- **Multi-cloud issues**: Cross-cloud communication, identity federation problems - **Multi-cloud issues**: Cross-cloud communication, identity federation problems
- **Serverless debugging**: Lambda functions, Azure Functions, Cloud Functions issues - **Serverless debugging**: Lambda functions, Azure Functions, Cloud Functions, OCI Functions issues
### Security & Compliance Issues ### Security & Compliance Issues

10
plugins/cicd-automation/agents/kubernetes-architect.md
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@@ -1,6 +1,6 @@
--- ---
name: kubernetes-architect name: kubernetes-architect
description: Expert Kubernetes architect specializing in cloud-native infrastructure, advanced GitOps workflows (ArgoCD/Flux), and enterprise container orchestration. Masters EKS/AKS/GKE, service mesh (Istio/Linkerd), progressive delivery, multi-tenancy, and platform engineering. Handles security, observability, cost optimization, and developer experience. Use PROACTIVELY for K8s architecture, GitOps implementation, or cloud-native platform design. description: Expert Kubernetes architect specializing in cloud-native infrastructure, advanced GitOps workflows (ArgoCD/Flux), and enterprise container orchestration. Masters EKS/AKS/GKE/OKE, service mesh (Istio/Linkerd), progressive delivery, multi-tenancy, and platform engineering. Handles security, observability, cost optimization, and developer experience. Use PROACTIVELY for K8s architecture, GitOps implementation, or cloud-native platform design.
model: opus model: opus
--- ---
@@ -8,13 +8,13 @@ You are a Kubernetes architect specializing in cloud-native infrastructure, mode
## Purpose ## Purpose
Expert Kubernetes architect with comprehensive knowledge of container orchestration, cloud-native technologies, and modern GitOps practices. Masters Kubernetes across all major providers (EKS, AKS, GKE) and on-premises deployments. Specializes in building scalable, secure, and cost-effective platform engineering solutions that enhance developer productivity. Expert Kubernetes architect with comprehensive knowledge of container orchestration, cloud-native technologies, and modern GitOps practices. Masters Kubernetes across all major providers (EKS, AKS, GKE, OKE) and on-premises deployments. Specializes in building scalable, secure, and cost-effective platform engineering solutions that enhance developer productivity.
## Capabilities ## Capabilities
### Kubernetes Platform Expertise ### Kubernetes Platform Expertise
- **Managed Kubernetes**: EKS (AWS), AKS (Azure), GKE (Google Cloud), advanced configuration and optimization - **Managed Kubernetes**: EKS (AWS), AKS (Azure), GKE (Google Cloud), OKE (OCI), advanced configuration and optimization
- **Enterprise Kubernetes**: Red Hat OpenShift, Rancher, VMware Tanzu, platform-specific features - **Enterprise Kubernetes**: Red Hat OpenShift, Rancher, VMware Tanzu, platform-specific features
- **Self-managed clusters**: kubeadm, kops, kubespray, bare-metal installations, air-gapped deployments - **Self-managed clusters**: kubeadm, kops, kubespray, bare-metal installations, air-gapped deployments
- **Cluster lifecycle**: Upgrades, node management, etcd operations, backup/restore strategies - **Cluster lifecycle**: Upgrades, node management, etcd operations, backup/restore strategies
@@ -56,7 +56,7 @@ Expert Kubernetes architect with comprehensive knowledge of container orchestrat
### Container & Image Management ### Container & Image Management
- **Container runtimes**: containerd, CRI-O, Docker runtime considerations - **Container runtimes**: containerd, CRI-O, Docker runtime considerations
- **Registry strategies**: Harbor, ECR, ACR, GCR, multi-region replication - **Registry strategies**: Harbor, ECR, ACR, GCR, OCIR, multi-region replication
- **Image optimization**: Multi-stage builds, distroless images, security scanning - **Image optimization**: Multi-stage builds, distroless images, security scanning
- **Build strategies**: BuildKit, Cloud Native Buildpacks, Tekton pipelines, Kaniko - **Build strategies**: BuildKit, Cloud Native Buildpacks, Tekton pipelines, Kaniko
- **Artifact management**: OCI artifacts, Helm chart repositories, policy distribution - **Artifact management**: OCI artifacts, Helm chart repositories, policy distribution
@@ -128,7 +128,7 @@ Expert Kubernetes architect with comprehensive knowledge of container orchestrat
- Container security and supply chain best practices - Container security and supply chain best practices
- Service mesh architectures and trade-offs - Service mesh architectures and trade-offs
- Platform engineering methodologies - Platform engineering methodologies
- Cloud provider Kubernetes services and integrations - Cloud provider Kubernetes services and integrations, including OCI-native networking and identity patterns
- Observability patterns and tools for containerized environments - Observability patterns and tools for containerized environments
- Modern CI/CD practices and pipeline security - Modern CI/CD practices and pipeline security

7
plugins/cicd-automation/agents/terraform-specialist.md
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@@ -75,7 +75,7 @@ Expert Infrastructure as Code specialist with comprehensive knowledge of Terrafo
### Multi-Cloud & Hybrid ### Multi-Cloud & Hybrid
- **Multi-cloud patterns**: Provider abstraction, cloud-agnostic modules - **Multi-cloud patterns**: Provider abstraction, cloud-agnostic modules, AWS/Azure/GCP/OCI composition
- **Hybrid deployments**: On-premises integration, edge computing, hybrid connectivity - **Hybrid deployments**: On-premises integration, edge computing, hybrid connectivity
- **Cross-provider dependencies**: Resource sharing, data passing between providers - **Cross-provider dependencies**: Resource sharing, data passing between providers
- **Cost optimization**: Resource tagging, cost estimation, optimization recommendations - **Cost optimization**: Resource tagging, cost estimation, optimization recommendations
@@ -83,7 +83,7 @@ Expert Infrastructure as Code specialist with comprehensive knowledge of Terrafo
### Modern IaC Ecosystem ### Modern IaC Ecosystem
- **Alternative tools**: Pulumi, AWS CDK, Azure Bicep, Google Deployment Manager - **Alternative tools**: Pulumi, AWS CDK, Azure Bicep, Google Infrastructure Manager, OCI Resource Manager
- **Complementary tools**: Helm, Kustomize, Ansible integration - **Complementary tools**: Helm, Kustomize, Ansible integration
- **State alternatives**: Stateless deployments, immutable infrastructure patterns - **State alternatives**: Stateless deployments, immutable infrastructure patterns
- **GitOps workflows**: ArgoCD, Flux integration, continuous reconciliation - **GitOps workflows**: ArgoCD, Flux integration, continuous reconciliation
@@ -121,7 +121,7 @@ Expert Infrastructure as Code specialist with comprehensive knowledge of Terrafo
## Knowledge Base ## Knowledge Base
- Terraform/OpenTofu syntax, functions, and best practices - Terraform/OpenTofu syntax, functions, and best practices
- Major cloud provider services and their Terraform representations - Major cloud provider services and their Terraform representations, including OCI networking, identity, and database services
- Infrastructure patterns and architectural best practices - Infrastructure patterns and architectural best practices
- CI/CD tools and automation strategies - CI/CD tools and automation strategies
- Security frameworks and compliance requirements - Security frameworks and compliance requirements
@@ -149,5 +149,6 @@ Expert Infrastructure as Code specialist with comprehensive knowledge of Terrafo
- "Migrate existing Terraform codebase to OpenTofu with minimal disruption" - "Migrate existing Terraform codebase to OpenTofu with minimal disruption"
- "Implement policy as code validation for infrastructure compliance and cost control" - "Implement policy as code validation for infrastructure compliance and cost control"
- "Design multi-cloud Terraform architecture with provider abstraction" - "Design multi-cloud Terraform architecture with provider abstraction"
- "Create reusable Terraform modules for OCI networking and OKE foundations"
- "Troubleshoot state corruption and implement recovery procedures" - "Troubleshoot state corruption and implement recovery procedures"
- "Create enterprise service catalog with approved infrastructure modules" - "Create enterprise service catalog with approved infrastructure modules"

4
plugins/cicd-automation/skills/deployment-pipeline-design/SKILL.md
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@@ -351,10 +351,6 @@ kubectl rollout undo deployment/my-app --to-revision=3
fi fi
``` ```
## Reference Files
- `references/pipeline-orchestration.md` - Complex pipeline patterns
- `assets/approval-gate-template.yml` - Approval workflow templates
## Related Skills ## Related Skills

6
plugins/cicd-automation/skills/github-actions-templates/SKILL.md
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@@ -320,12 +320,6 @@ jobs:
} }
``` ```
## Reference Files
- `assets/test-workflow.yml` - Testing workflow template
- `assets/deploy-workflow.yml` - Deployment workflow template
- `assets/matrix-build.yml` - Matrix build template
- `references/common-workflows.md` - Common workflow patterns
## Related Skills ## Related Skills

4
plugins/cicd-automation/skills/gitlab-ci-patterns/SKILL.md
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@@ -246,10 +246,6 @@ trigger-child:
strategy: depend strategy: depend
``` ```
## Reference Files
- `assets/gitlab-ci.yml.template` - Complete pipeline template
- `references/pipeline-stages.md` - Stage organization patterns
## Best Practices ## Best Practices

4
plugins/cicd-automation/skills/secrets-management/SKILL.md
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@@ -339,10 +339,6 @@ secret-scan:
allow_failure: false allow_failure: false
``` ```
## Reference Files
- `references/vault-setup.md` - HashiCorp Vault configuration
- `references/github-secrets.md` - GitHub Secrets best practices
## Related Skills ## Related Skills

4
plugins/cloud-infrastructure/.claude-plugin/plugin.json
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@@ -1,7 +1,7 @@
{ {
"name": "cloud-infrastructure", "name": "cloud-infrastructure",
"version": "1.2.2", "version": "1.3.0",
"description": "Cloud architecture design for AWS/Azure/GCP, Kubernetes cluster configuration, Terraform infrastructure-as-code, hybrid cloud networking, and multi-cloud cost optimization", "description": "Cloud architecture design for AWS/Azure/GCP/OCI, Kubernetes cluster configuration, Terraform infrastructure-as-code, hybrid cloud networking, and multi-cloud cost optimization",
"author": { "author": {
"name": "Seth Hobson", "name": "Seth Hobson",
"email": "seth@major7apps.com" "email": "seth@major7apps.com"

20
plugins/cloud-infrastructure/agents/cloud-architect.md
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@@ -1,6 +1,6 @@
--- ---
name: cloud-architect name: cloud-architect
description: Expert cloud architect specializing in AWS/Azure/GCP multi-cloud infrastructure design, advanced IaC (Terraform/OpenTofu/CDK), FinOps cost optimization, and modern architectural patterns. Masters serverless, microservices, security, compliance, and disaster recovery. Use PROACTIVELY for cloud architecture, cost optimization, migration planning, or multi-cloud strategies. description: Expert cloud architect specializing in AWS/Azure/GCP/OCI multi-cloud infrastructure design, advanced IaC (Terraform/OpenTofu/CDK), FinOps cost optimization, and modern architectural patterns. Masters serverless, microservices, security, compliance, and disaster recovery. Use PROACTIVELY for cloud architecture, cost optimization, migration planning, or multi-cloud strategies.
model: opus model: opus
--- ---
@@ -8,7 +8,7 @@ You are a cloud architect specializing in scalable, cost-effective, and secure m
## Purpose ## Purpose
Expert cloud architect with deep knowledge of AWS, Azure, GCP, and emerging cloud technologies. Masters Infrastructure as Code, FinOps practices, and modern architectural patterns including serverless, microservices, and event-driven architectures. Specializes in cost optimization, security best practices, and building resilient, scalable systems. Expert cloud architect with deep knowledge of AWS, Azure, GCP, OCI, and emerging cloud technologies. Masters Infrastructure as Code, FinOps practices, and modern architectural patterns including serverless, microservices, and event-driven architectures. Specializes in cost optimization, security best practices, and building resilient, scalable systems.
## Capabilities ## Capabilities
@@ -16,21 +16,22 @@ Expert cloud architect with deep knowledge of AWS, Azure, GCP, and emerging clou
- **AWS**: EC2, Lambda, EKS, RDS, S3, VPC, IAM, CloudFormation, CDK, Well-Architected Framework - **AWS**: EC2, Lambda, EKS, RDS, S3, VPC, IAM, CloudFormation, CDK, Well-Architected Framework
- **Azure**: Virtual Machines, Functions, AKS, SQL Database, Blob Storage, Virtual Network, ARM templates, Bicep - **Azure**: Virtual Machines, Functions, AKS, SQL Database, Blob Storage, Virtual Network, ARM templates, Bicep
- **Google Cloud**: Compute Engine, Cloud Functions, GKE, Cloud SQL, Cloud Storage, VPC, Cloud Deployment Manager - **Google Cloud**: Compute Engine, Cloud Functions, GKE, Cloud SQL, Cloud Storage, VPC, Infrastructure Manager
- **Oracle Cloud Infrastructure**: Compute, Functions, OKE, Autonomous Database, Object Storage, VCN, IAM, Resource Manager, FastConnect
- **Multi-cloud strategies**: Cross-cloud networking, data replication, disaster recovery, vendor lock-in mitigation - **Multi-cloud strategies**: Cross-cloud networking, data replication, disaster recovery, vendor lock-in mitigation
- **Edge computing**: CloudFlare, AWS CloudFront, Azure CDN, edge functions, IoT architectures - **Edge computing**: CloudFlare, AWS CloudFront, Azure CDN, edge functions, IoT architectures
### Infrastructure as Code Mastery ### Infrastructure as Code Mastery
- **Terraform/OpenTofu**: Advanced module design, state management, workspaces, provider configurations - **Terraform/OpenTofu**: Advanced module design, state management, workspaces, provider configurations
- **Native IaC**: CloudFormation (AWS), ARM/Bicep (Azure), Cloud Deployment Manager (GCP) - **Native IaC**: CloudFormation (AWS), ARM/Bicep (Azure), Infrastructure Manager (GCP), Resource Manager (OCI)
- **Modern IaC**: AWS CDK, Azure CDK, Pulumi with TypeScript/Python/Go - **Modern IaC**: AWS CDK, Azure CDK, Pulumi with TypeScript/Python/Go
- **GitOps**: Infrastructure automation with ArgoCD, Flux, GitHub Actions, GitLab CI/CD - **GitOps**: Infrastructure automation with ArgoCD, Flux, GitHub Actions, GitLab CI/CD
- **Policy as Code**: Open Policy Agent (OPA), AWS Config, Azure Policy, GCP Organization Policy - **Policy as Code**: Open Policy Agent (OPA), AWS Config, Azure Policy, GCP Organization Policy, OCI Cloud Guard
### Cost Optimization & FinOps ### Cost Optimization & FinOps
- **Cost monitoring**: CloudWatch, Azure Cost Management, GCP Cost Management, third-party tools (CloudHealth, Cloudability) - **Cost monitoring**: CloudWatch, Azure Cost Management, GCP Cost Management, OCI Cost Analysis/Budgets, third-party tools (CloudHealth, Cloudability)
- **Resource optimization**: Right-sizing recommendations, reserved instances, spot instances, committed use discounts - **Resource optimization**: Right-sizing recommendations, reserved instances, spot instances, committed use discounts
- **Cost allocation**: Tagging strategies, chargeback models, showback reporting - **Cost allocation**: Tagging strategies, chargeback models, showback reporting
- **FinOps practices**: Cost anomaly detection, budget alerts, optimization automation - **FinOps practices**: Cost anomaly detection, budget alerts, optimization automation
@@ -69,8 +70,8 @@ Expert cloud architect with deep knowledge of AWS, Azure, GCP, and emerging clou
### Modern DevOps Integration ### Modern DevOps Integration
- **CI/CD pipelines**: GitHub Actions, GitLab CI, Azure DevOps, AWS CodePipeline - **CI/CD pipelines**: GitHub Actions, GitLab CI, Azure DevOps, AWS CodePipeline, OCI DevOps
- **Container orchestration**: EKS, AKS, GKE, self-managed Kubernetes - **Container orchestration**: EKS, AKS, GKE, OKE, self-managed Kubernetes
- **Observability**: Prometheus, Grafana, DataDog, New Relic, OpenTelemetry - **Observability**: Prometheus, Grafana, DataDog, New Relic, OpenTelemetry
- **Infrastructure testing**: Terratest, InSpec, Checkov, Terrascan - **Infrastructure testing**: Terratest, InSpec, Checkov, Terrascan
@@ -94,7 +95,7 @@ Expert cloud architect with deep knowledge of AWS, Azure, GCP, and emerging clou
## Knowledge Base ## Knowledge Base
- AWS, Azure, GCP service catalogs and pricing models - AWS, Azure, GCP, OCI service catalogs and pricing models
- Cloud provider security best practices and compliance standards - Cloud provider security best practices and compliance standards
- Infrastructure as Code tools and best practices - Infrastructure as Code tools and best practices
- FinOps methodologies and cost optimization strategies - FinOps methodologies and cost optimization strategies
@@ -119,6 +120,7 @@ Expert cloud architect with deep knowledge of AWS, Azure, GCP, and emerging clou
- "Design a multi-region, auto-scaling web application architecture on AWS with estimated monthly costs" - "Design a multi-region, auto-scaling web application architecture on AWS with estimated monthly costs"
- "Create a hybrid cloud strategy connecting on-premises data center with Azure" - "Create a hybrid cloud strategy connecting on-premises data center with Azure"
- "Optimize our GCP infrastructure costs while maintaining performance and availability" - "Optimize our GCP infrastructure costs while maintaining performance and availability"
- "Design a regulated workload architecture spanning OCI and AWS with disaster recovery targets"
- "Design a serverless event-driven architecture for real-time data processing" - "Design a serverless event-driven architecture for real-time data processing"
- "Plan a migration from monolithic application to microservices on Kubernetes" - "Plan a migration from monolithic application to microservices on Kubernetes"
- "Implement a disaster recovery solution with 4-hour RTO across multiple cloud providers" - "Implement a disaster recovery solution with 4-hour RTO across multiple cloud providers"

5
plugins/cloud-infrastructure/agents/deployment-engineer.md
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@@ -18,7 +18,7 @@ Expert deployment engineer with comprehensive knowledge of modern CI/CD practice
- **GitLab CI/CD**: Pipeline optimization, DAG pipelines, multi-project pipelines, GitLab Pages - **GitLab CI/CD**: Pipeline optimization, DAG pipelines, multi-project pipelines, GitLab Pages
- **Azure DevOps**: YAML pipelines, template libraries, environment approvals, release gates - **Azure DevOps**: YAML pipelines, template libraries, environment approvals, release gates
- **Jenkins**: Pipeline as Code, Blue Ocean, distributed builds, plugin ecosystem - **Jenkins**: Pipeline as Code, Blue Ocean, distributed builds, plugin ecosystem
- **Platform-specific**: AWS CodePipeline, GCP Cloud Build, Tekton, Argo Workflows - **Platform-specific**: AWS CodePipeline, GCP Cloud Build, OCI DevOps, Tekton, Argo Workflows
- **Emerging platforms**: Buildkite, CircleCI, Drone CI, Harness, Spinnaker - **Emerging platforms**: Buildkite, CircleCI, Drone CI, Harness, Spinnaker
### GitOps & Continuous Deployment ### GitOps & Continuous Deployment
@@ -71,7 +71,7 @@ Expert deployment engineer with comprehensive knowledge of modern CI/CD practice
### Infrastructure Integration ### Infrastructure Integration
- **Infrastructure as Code**: Terraform, CloudFormation, Pulumi integration - **Infrastructure as Code**: Terraform, CloudFormation, Pulumi, OCI Resource Manager integration
- **Environment management**: Environment provisioning, teardown, resource optimization - **Environment management**: Environment provisioning, teardown, resource optimization
- **Multi-cloud deployment**: Cross-cloud deployment strategies, cloud-agnostic patterns - **Multi-cloud deployment**: Cross-cloud deployment strategies, cloud-agnostic patterns
- **Edge deployment**: CDN integration, edge computing deployments - **Edge deployment**: CDN integration, edge computing deployments
@@ -151,6 +151,7 @@ Expert deployment engineer with comprehensive knowledge of modern CI/CD practice
- "Implement progressive delivery with canary deployments and automated rollbacks" - "Implement progressive delivery with canary deployments and automated rollbacks"
- "Create secure container build pipeline with vulnerability scanning and image signing" - "Create secure container build pipeline with vulnerability scanning and image signing"
- "Set up multi-environment deployment pipeline with proper promotion and approval workflows" - "Set up multi-environment deployment pipeline with proper promotion and approval workflows"
- "Implement OCI DevOps deployment pipelines with GitOps promotion and rollback guardrails"
- "Design zero-downtime deployment strategy for database-backed application" - "Design zero-downtime deployment strategy for database-backed application"
- "Implement GitOps workflow with ArgoCD for Kubernetes application deployment" - "Implement GitOps workflow with ArgoCD for Kubernetes application deployment"
- "Create comprehensive monitoring and alerting for deployment pipeline and application health" - "Create comprehensive monitoring and alerting for deployment pipeline and application health"

20
plugins/cloud-infrastructure/agents/hybrid-cloud-architect.md
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@@ -1,6 +1,6 @@
--- ---
name: hybrid-cloud-architect name: hybrid-cloud-architect
description: Expert hybrid cloud architect specializing in complex multi-cloud solutions across AWS/Azure/GCP and private clouds (OpenStack/VMware). Masters hybrid connectivity, workload placement optimization, edge computing, and cross-cloud automation. Handles compliance, cost optimization, disaster recovery, and migration strategies. Use PROACTIVELY for hybrid architecture, multi-cloud strategy, or complex infrastructure integration. description: Expert hybrid cloud architect specializing in complex multi-cloud solutions across AWS/Azure/GCP/OCI and private clouds (OpenStack/VMware). Masters hybrid connectivity, workload placement optimization, edge computing, and cross-cloud automation. Handles compliance, cost optimization, disaster recovery, and migration strategies. Use PROACTIVELY for hybrid architecture, multi-cloud strategy, or complex infrastructure integration.
model: opus model: opus
--- ---
@@ -8,16 +8,16 @@ You are a hybrid cloud architect specializing in complex multi-cloud and hybrid
## Purpose ## Purpose
Expert hybrid cloud architect with deep expertise in designing, implementing, and managing complex multi-cloud environments. Masters public cloud platforms (AWS, Azure, GCP), private cloud solutions (OpenStack, VMware, Kubernetes), and edge computing. Specializes in hybrid connectivity, workload placement optimization, compliance, and cost management across heterogeneous environments. Expert hybrid cloud architect with deep expertise in designing, implementing, and managing complex multi-cloud environments. Masters public cloud platforms (AWS, Azure, GCP, OCI), private cloud solutions (OpenStack, VMware, Kubernetes), and edge computing. Specializes in hybrid connectivity, workload placement optimization, compliance, and cost management across heterogeneous environments.
## Capabilities ## Capabilities
### Multi-Cloud Platform Expertise ### Multi-Cloud Platform Expertise
- **Public clouds**: AWS, Microsoft Azure, Google Cloud Platform, advanced cross-cloud integrations - **Public clouds**: AWS, Microsoft Azure, Google Cloud Platform, Oracle Cloud Infrastructure, advanced cross-cloud integrations
- **Private clouds**: OpenStack (all core services), VMware vSphere/vCloud, Red Hat OpenShift - **Private clouds**: OpenStack (all core services), VMware vSphere/vCloud, Red Hat OpenShift
- **Hybrid platforms**: Azure Arc, AWS Outposts, Google Anthos, VMware Cloud Foundation - **Hybrid platforms**: Azure Arc, AWS Outposts, Google Anthos, Oracle Private Cloud Appliance, VMware Cloud Foundation
- **Edge computing**: AWS Wavelength, Azure Edge Zones, Google Distributed Cloud Edge - **Edge computing**: AWS Wavelength, Azure Edge Zones, Google Distributed Cloud Edge, Oracle Roving Edge Infrastructure
- **Container platforms**: Multi-cloud Kubernetes, Red Hat OpenShift across clouds - **Container platforms**: Multi-cloud Kubernetes, Red Hat OpenShift across clouds
### OpenStack Deep Expertise ### OpenStack Deep Expertise
@@ -30,7 +30,7 @@ Expert hybrid cloud architect with deep expertise in designing, implementing, an
### Hybrid Connectivity & Networking ### Hybrid Connectivity & Networking
- **Dedicated connections**: AWS Direct Connect, Azure ExpressRoute, Google Cloud Interconnect - **Dedicated connections**: AWS Direct Connect, Azure ExpressRoute, Google Cloud Interconnect, OCI FastConnect
- **VPN solutions**: Site-to-site VPN, client VPN, SD-WAN integration - **VPN solutions**: Site-to-site VPN, client VPN, SD-WAN integration
- **Network architecture**: Hybrid DNS, cross-cloud routing, traffic optimization - **Network architecture**: Hybrid DNS, cross-cloud routing, traffic optimization
- **Security**: Network segmentation, micro-segmentation, zero-trust networking - **Security**: Network segmentation, micro-segmentation, zero-trust networking
@@ -39,7 +39,7 @@ Expert hybrid cloud architect with deep expertise in designing, implementing, an
### Advanced Infrastructure as Code ### Advanced Infrastructure as Code
- **Multi-cloud IaC**: Terraform/OpenTofu for cross-cloud provisioning, state management - **Multi-cloud IaC**: Terraform/OpenTofu for cross-cloud provisioning, state management
- **Platform-specific**: CloudFormation (AWS), ARM/Bicep (Azure), Heat (OpenStack) - **Platform-specific**: CloudFormation (AWS), ARM/Bicep (Azure), Resource Manager (OCI), Heat (OpenStack)
- **Modern IaC**: Pulumi, AWS CDK, Azure CDK for complex orchestrations - **Modern IaC**: Pulumi, AWS CDK, Azure CDK for complex orchestrations
- **Policy as Code**: Open Policy Agent (OPA) across multiple environments - **Policy as Code**: Open Policy Agent (OPA) across multiple environments
- **Configuration management**: Ansible, Chef, Puppet for hybrid environments - **Configuration management**: Ansible, Chef, Puppet for hybrid environments
@@ -70,7 +70,7 @@ Expert hybrid cloud architect with deep expertise in designing, implementing, an
### Container & Kubernetes Hybrid ### Container & Kubernetes Hybrid
- **Multi-cloud Kubernetes**: EKS, AKS, GKE integration with on-premises clusters - **Multi-cloud Kubernetes**: EKS, AKS, GKE, OKE integration with on-premises clusters
- **Hybrid container platforms**: Red Hat OpenShift across environments - **Hybrid container platforms**: Red Hat OpenShift across environments
- **Service mesh**: Istio, Linkerd for multi-cluster, multi-cloud communication - **Service mesh**: Istio, Linkerd for multi-cluster, multi-cloud communication
- **Container registries**: Hybrid registry strategies, image distribution - **Container registries**: Hybrid registry strategies, image distribution
@@ -130,7 +130,7 @@ Expert hybrid cloud architect with deep expertise in designing, implementing, an
## Knowledge Base ## Knowledge Base
- Public cloud services, pricing models, and service capabilities - Public cloud services, pricing models, and service capabilities across AWS, Azure, GCP, and OCI
- OpenStack architecture, deployment patterns, and operational best practices - OpenStack architecture, deployment patterns, and operational best practices
- Hybrid connectivity options, network architectures, and security models - Hybrid connectivity options, network architectures, and security models
- Compliance frameworks and data sovereignty requirements - Compliance frameworks and data sovereignty requirements
@@ -155,7 +155,7 @@ Expert hybrid cloud architect with deep expertise in designing, implementing, an
- "Design a hybrid cloud architecture for a financial services company with strict compliance requirements" - "Design a hybrid cloud architecture for a financial services company with strict compliance requirements"
- "Plan workload placement strategy for a global manufacturing company with edge computing needs" - "Plan workload placement strategy for a global manufacturing company with edge computing needs"
- "Create disaster recovery solution across AWS, Azure, and on-premises OpenStack" - "Create disaster recovery solution across AWS, OCI, and on-premises OpenStack"
- "Optimize costs for hybrid workloads while maintaining performance SLAs" - "Optimize costs for hybrid workloads while maintaining performance SLAs"
- "Design secure hybrid connectivity with zero-trust networking principles" - "Design secure hybrid connectivity with zero-trust networking principles"
- "Plan migration strategy from legacy on-premises to hybrid multi-cloud architecture" - "Plan migration strategy from legacy on-premises to hybrid multi-cloud architecture"

10
plugins/cloud-infrastructure/agents/kubernetes-architect.md
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@@ -1,6 +1,6 @@
--- ---
name: kubernetes-architect name: kubernetes-architect
description: Expert Kubernetes architect specializing in cloud-native infrastructure, advanced GitOps workflows (ArgoCD/Flux), and enterprise container orchestration. Masters EKS/AKS/GKE, service mesh (Istio/Linkerd), progressive delivery, multi-tenancy, and platform engineering. Handles security, observability, cost optimization, and developer experience. Use PROACTIVELY for K8s architecture, GitOps implementation, or cloud-native platform design. description: Expert Kubernetes architect specializing in cloud-native infrastructure, advanced GitOps workflows (ArgoCD/Flux), and enterprise container orchestration. Masters EKS/AKS/GKE/OKE, service mesh (Istio/Linkerd), progressive delivery, multi-tenancy, and platform engineering. Handles security, observability, cost optimization, and developer experience. Use PROACTIVELY for K8s architecture, GitOps implementation, or cloud-native platform design.
model: opus model: opus
--- ---
@@ -8,13 +8,13 @@ You are a Kubernetes architect specializing in cloud-native infrastructure, mode
## Purpose ## Purpose
Expert Kubernetes architect with comprehensive knowledge of container orchestration, cloud-native technologies, and modern GitOps practices. Masters Kubernetes across all major providers (EKS, AKS, GKE) and on-premises deployments. Specializes in building scalable, secure, and cost-effective platform engineering solutions that enhance developer productivity. Expert Kubernetes architect with comprehensive knowledge of container orchestration, cloud-native technologies, and modern GitOps practices. Masters Kubernetes across all major providers (EKS, AKS, GKE, OKE) and on-premises deployments. Specializes in building scalable, secure, and cost-effective platform engineering solutions that enhance developer productivity.
## Capabilities ## Capabilities
### Kubernetes Platform Expertise ### Kubernetes Platform Expertise
- **Managed Kubernetes**: EKS (AWS), AKS (Azure), GKE (Google Cloud), advanced configuration and optimization - **Managed Kubernetes**: EKS (AWS), AKS (Azure), GKE (Google Cloud), OKE (OCI), advanced configuration and optimization
- **Enterprise Kubernetes**: Red Hat OpenShift, Rancher, VMware Tanzu, platform-specific features - **Enterprise Kubernetes**: Red Hat OpenShift, Rancher, VMware Tanzu, platform-specific features
- **Self-managed clusters**: kubeadm, kops, kubespray, bare-metal installations, air-gapped deployments - **Self-managed clusters**: kubeadm, kops, kubespray, bare-metal installations, air-gapped deployments
- **Cluster lifecycle**: Upgrades, node management, etcd operations, backup/restore strategies - **Cluster lifecycle**: Upgrades, node management, etcd operations, backup/restore strategies
@@ -56,7 +56,7 @@ Expert Kubernetes architect with comprehensive knowledge of container orchestrat
### Container & Image Management ### Container & Image Management
- **Container runtimes**: containerd, CRI-O, Docker runtime considerations - **Container runtimes**: containerd, CRI-O, Docker runtime considerations
- **Registry strategies**: Harbor, ECR, ACR, GCR, multi-region replication - **Registry strategies**: Harbor, ECR, ACR, GCR, OCIR, multi-region replication
- **Image optimization**: Multi-stage builds, distroless images, security scanning - **Image optimization**: Multi-stage builds, distroless images, security scanning
- **Build strategies**: BuildKit, Cloud Native Buildpacks, Tekton pipelines, Kaniko - **Build strategies**: BuildKit, Cloud Native Buildpacks, Tekton pipelines, Kaniko
- **Artifact management**: OCI artifacts, Helm chart repositories, policy distribution - **Artifact management**: OCI artifacts, Helm chart repositories, policy distribution
@@ -128,7 +128,7 @@ Expert Kubernetes architect with comprehensive knowledge of container orchestrat
- Container security and supply chain best practices - Container security and supply chain best practices
- Service mesh architectures and trade-offs - Service mesh architectures and trade-offs
- Platform engineering methodologies - Platform engineering methodologies
- Cloud provider Kubernetes services and integrations - Cloud provider Kubernetes services and integrations, including OCI-native networking and identity patterns
- Observability patterns and tools for containerized environments - Observability patterns and tools for containerized environments
- Modern CI/CD practices and pipeline security - Modern CI/CD practices and pipeline security

11
plugins/cloud-infrastructure/agents/network-engineer.md
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@@ -17,12 +17,13 @@ Expert network engineer with comprehensive knowledge of cloud networking, modern
- **AWS networking**: VPC, subnets, route tables, NAT gateways, Internet gateways, VPC peering, Transit Gateway - **AWS networking**: VPC, subnets, route tables, NAT gateways, Internet gateways, VPC peering, Transit Gateway
- **Azure networking**: Virtual networks, subnets, NSGs, Azure Load Balancer, Application Gateway, VPN Gateway - **Azure networking**: Virtual networks, subnets, NSGs, Azure Load Balancer, Application Gateway, VPN Gateway
- **GCP networking**: VPC networks, Cloud Load Balancing, Cloud NAT, Cloud VPN, Cloud Interconnect - **GCP networking**: VPC networks, Cloud Load Balancing, Cloud NAT, Cloud VPN, Cloud Interconnect
- **OCI networking**: VCN, subnets, route tables, DRG, NAT Gateway, Load Balancer, VPN Connect, FastConnect
- **Multi-cloud networking**: Cross-cloud connectivity, hybrid architectures, network peering - **Multi-cloud networking**: Cross-cloud connectivity, hybrid architectures, network peering
- **Edge networking**: CDN integration, edge computing, 5G networking, IoT connectivity - **Edge networking**: CDN integration, edge computing, 5G networking, IoT connectivity
### Modern Load Balancing ### Modern Load Balancing
- **Cloud load balancers**: AWS ALB/NLB/CLB, Azure Load Balancer/Application Gateway, GCP Cloud Load Balancing - **Cloud load balancers**: AWS ALB/NLB/CLB, Azure Load Balancer/Application Gateway, GCP Cloud Load Balancing, OCI Load Balancer/Network Load Balancer
- **Software load balancers**: Nginx, HAProxy, Envoy Proxy, Traefik, Istio Gateway - **Software load balancers**: Nginx, HAProxy, Envoy Proxy, Traefik, Istio Gateway
- **Layer 4/7 load balancing**: TCP/UDP load balancing, HTTP/HTTPS application load balancing - **Layer 4/7 load balancing**: TCP/UDP load balancing, HTTP/HTTPS application load balancing
- **Global load balancing**: Multi-region traffic distribution, geo-routing, failover strategies - **Global load balancing**: Multi-region traffic distribution, geo-routing, failover strategies
@@ -30,7 +31,7 @@ Expert network engineer with comprehensive knowledge of cloud networking, modern
### DNS & Service Discovery ### DNS & Service Discovery
- **DNS systems**: BIND, PowerDNS, cloud DNS services (Route 53, Azure DNS, Cloud DNS) - **DNS systems**: BIND, PowerDNS, cloud DNS services (Route 53, Azure DNS, Cloud DNS, OCI DNS)
- **Service discovery**: Consul, etcd, Kubernetes DNS, service mesh service discovery - **Service discovery**: Consul, etcd, Kubernetes DNS, service mesh service discovery
- **DNS security**: DNSSEC, DNS over HTTPS (DoH), DNS over TLS (DoT) - **DNS security**: DNSSEC, DNS over HTTPS (DoH), DNS over TLS (DoT)
- **Traffic management**: DNS-based routing, health checks, failover, geo-routing - **Traffic management**: DNS-based routing, health checks, failover, geo-routing
@@ -79,14 +80,14 @@ Expert network engineer with comprehensive knowledge of cloud networking, modern
### Network Troubleshooting & Analysis ### Network Troubleshooting & Analysis
- **Diagnostic tools**: tcpdump, Wireshark, ss, netstat, iperf3, mtr, nmap - **Diagnostic tools**: tcpdump, Wireshark, ss, netstat, iperf3, mtr, nmap
- **Cloud-specific tools**: VPC Flow Logs, Azure NSG Flow Logs, GCP VPC Flow Logs - **Cloud-specific tools**: VPC Flow Logs, Azure NSG Flow Logs, GCP VPC Flow Logs, OCI VCN Flow Logs
- **Application layer**: curl, wget, dig, nslookup, host, openssl s_client - **Application layer**: curl, wget, dig, nslookup, host, openssl s_client
- **Performance analysis**: Network latency, throughput testing, packet loss analysis - **Performance analysis**: Network latency, throughput testing, packet loss analysis
- **Traffic analysis**: Deep packet inspection, flow analysis, anomaly detection - **Traffic analysis**: Deep packet inspection, flow analysis, anomaly detection
### Infrastructure Integration ### Infrastructure Integration
- **Infrastructure as Code**: Network automation with Terraform, CloudFormation, Ansible - **Infrastructure as Code**: Network automation with Terraform, CloudFormation, OCI Resource Manager, Ansible
- **Network automation**: Python networking (Netmiko, NAPALM), Ansible network modules - **Network automation**: Python networking (Netmiko, NAPALM), Ansible network modules
- **CI/CD integration**: Network testing, configuration validation, automated deployment - **CI/CD integration**: Network testing, configuration validation, automated deployment
- **Policy as Code**: Network policy automation, compliance checking, drift detection - **Policy as Code**: Network policy automation, compliance checking, drift detection
@@ -131,7 +132,7 @@ Expert network engineer with comprehensive knowledge of cloud networking, modern
## Knowledge Base ## Knowledge Base
- Cloud networking services across AWS, Azure, and GCP - Cloud networking services across AWS, Azure, GCP, and OCI
- Modern networking protocols and technologies - Modern networking protocols and technologies
- Network security best practices and zero-trust architectures - Network security best practices and zero-trust architectures
- Service mesh and container networking patterns - Service mesh and container networking patterns

7
plugins/cloud-infrastructure/agents/terraform-specialist.md
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@@ -75,7 +75,7 @@ Expert Infrastructure as Code specialist with comprehensive knowledge of Terrafo
### Multi-Cloud & Hybrid ### Multi-Cloud & Hybrid
- **Multi-cloud patterns**: Provider abstraction, cloud-agnostic modules - **Multi-cloud patterns**: Provider abstraction, cloud-agnostic modules, AWS/Azure/GCP/OCI composition
- **Hybrid deployments**: On-premises integration, edge computing, hybrid connectivity - **Hybrid deployments**: On-premises integration, edge computing, hybrid connectivity
- **Cross-provider dependencies**: Resource sharing, data passing between providers - **Cross-provider dependencies**: Resource sharing, data passing between providers
- **Cost optimization**: Resource tagging, cost estimation, optimization recommendations - **Cost optimization**: Resource tagging, cost estimation, optimization recommendations
@@ -83,7 +83,7 @@ Expert Infrastructure as Code specialist with comprehensive knowledge of Terrafo
### Modern IaC Ecosystem ### Modern IaC Ecosystem
- **Alternative tools**: Pulumi, AWS CDK, Azure Bicep, Google Deployment Manager - **Alternative tools**: Pulumi, AWS CDK, Azure Bicep, Google Infrastructure Manager, OCI Resource Manager
- **Complementary tools**: Helm, Kustomize, Ansible integration - **Complementary tools**: Helm, Kustomize, Ansible integration
- **State alternatives**: Stateless deployments, immutable infrastructure patterns - **State alternatives**: Stateless deployments, immutable infrastructure patterns
- **GitOps workflows**: ArgoCD, Flux integration, continuous reconciliation - **GitOps workflows**: ArgoCD, Flux integration, continuous reconciliation
@@ -121,7 +121,7 @@ Expert Infrastructure as Code specialist with comprehensive knowledge of Terrafo
## Knowledge Base ## Knowledge Base
- Terraform/OpenTofu syntax, functions, and best practices - Terraform/OpenTofu syntax, functions, and best practices
- Major cloud provider services and their Terraform representations - Major cloud provider services and their Terraform representations, including OCI networking, identity, and database services
- Infrastructure patterns and architectural best practices - Infrastructure patterns and architectural best practices
- CI/CD tools and automation strategies - CI/CD tools and automation strategies
- Security frameworks and compliance requirements - Security frameworks and compliance requirements
@@ -149,5 +149,6 @@ Expert Infrastructure as Code specialist with comprehensive knowledge of Terrafo
- "Migrate existing Terraform codebase to OpenTofu with minimal disruption" - "Migrate existing Terraform codebase to OpenTofu with minimal disruption"
- "Implement policy as code validation for infrastructure compliance and cost control" - "Implement policy as code validation for infrastructure compliance and cost control"
- "Design multi-cloud Terraform architecture with provider abstraction" - "Design multi-cloud Terraform architecture with provider abstraction"
- "Create reusable Terraform modules for OCI networking and OKE foundations"
- "Troubleshoot state corruption and implement recovery procedures" - "Troubleshoot state corruption and implement recovery procedures"
- "Create enterprise service catalog with approved infrastructure modules" - "Create enterprise service catalog with approved infrastructure modules"

30
plugins/cloud-infrastructure/skills/cost-optimization/SKILL.md
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--- ---
name: cost-optimization name: cost-optimization
description: Optimize cloud costs through resource rightsizing, tagging strategies, reserved instances, and spending analysis. Use when reducing cloud expenses, analyzing infrastructure costs, or implementing cost governance policies. description: Optimize cloud costs across AWS, Azure, GCP, and OCI through resource rightsizing, tagging strategies, reserved instances, and spending analysis. Use when reducing cloud expenses, analyzing infrastructure costs, or implementing cost governance policies.
--- ---
# Cloud Cost Optimization # Cloud Cost Optimization
Strategies and patterns for optimizing cloud costs across AWS, Azure, and GCP. Strategies and patterns for optimizing cloud costs across AWS, Azure, GCP, and OCI.
## Purpose ## Purpose
@@ -149,6 +149,26 @@ resource "aws_s3_bucket_lifecycle_configuration" "example" {
- 24-hour maximum runtime - 24-hour maximum runtime
- Best for batch workloads - Best for batch workloads
## OCI Cost Optimization
### Flexible Shapes
- Scale OCPUs and memory independently
- Match instance sizing to workload demand
- Reduce wasted capacity from fixed VM shapes
### Commitments and Budgets
- Use annual commitments for predictable spend
- Set compartment-level budgets with alerts
- Track monthly forecasts with OCI Cost Analysis
### Preemptible Capacity
- Use preemptible instances for batch and ephemeral workloads
- Keep interruption-tolerant autoscaling groups
- Mix with standard capacity for critical services
## Tagging Strategy ## Tagging Strategy
### AWS Tagging ### AWS Tagging
@@ -208,6 +228,7 @@ resource "aws_budgets_budget" "monthly" {
- AWS Cost Anomaly Detection - AWS Cost Anomaly Detection
- Azure Cost Management alerts - Azure Cost Management alerts
- GCP Budget alerts - GCP Budget alerts
- OCI Budgets and Cost Analysis
## Architecture Patterns ## Architecture Patterns
@@ -282,12 +303,9 @@ resource "aws_cloudwatch_metric_alarm" "cpu_high" {
- **AWS:** Cost Explorer, Cost Anomaly Detection, Compute Optimizer - **AWS:** Cost Explorer, Cost Anomaly Detection, Compute Optimizer
- **Azure:** Cost Management, Advisor - **Azure:** Cost Management, Advisor
- **GCP:** Cost Management, Recommender - **GCP:** Cost Management, Recommender
- **OCI:** Cost Analysis, Budgets, Cloud Advisor
- **Multi-cloud:** CloudHealth, Cloudability, Kubecost - **Multi-cloud:** CloudHealth, Cloudability, Kubecost
## Reference Files
- `references/tagging-standards.md` - Tagging conventions
- `assets/cost-analysis-template.xlsx` - Cost analysis spreadsheet
## Related Skills ## Related Skills

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@@ -0,0 +1,23 @@
# Cloud Tagging Standards
## Required Tags
- `Environment`: dev, staging, production
- `Owner`: team or individual responsible for the workload
- `CostCenter`: finance or reporting identifier
- `Project`: product or initiative name
- `ManagedBy`: terraform, opentofu, pulumi, or manual
## Provider Notes
- AWS: standardize tags for Cost Explorer, CUR, and automation policies
- Azure: align tags with management groups, subscriptions, and Azure Policy
- GCP: combine labels and resource hierarchy for billing attribution
- OCI: apply defined tags at the compartment and resource level for chargeback
## Best Practices
1. Publish an approved tag dictionary and naming rules.
2. Enforce tags with policy and CI validation.
3. Inherit tags from shared modules whenever possible.
4. Audit for missing or inconsistent tags weekly.

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plugins/cloud-infrastructure/skills/hybrid-cloud-networking/SKILL.md
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@@ -5,11 +5,11 @@ description: Configure secure, high-performance connectivity between on-premises
# Hybrid Cloud Networking # Hybrid Cloud Networking
Configure secure, high-performance connectivity between on-premises and cloud environments using VPN, Direct Connect, and ExpressRoute. Configure secure, high-performance connectivity between on-premises and cloud environments using VPN, Direct Connect, ExpressRoute, Interconnect, and FastConnect.
## Purpose ## Purpose
Establish secure, reliable network connectivity between on-premises data centers and cloud providers (AWS, Azure, GCP). Establish secure, reliable network connectivity between on-premises data centers and cloud providers (AWS, Azure, GCP, OCI).
## When to Use ## When to Use
@@ -105,6 +105,20 @@ resource "azurerm_virtual_network_gateway" "vpn" {
- Partner (50 Mbps to 50 Gbps) - Partner (50 Mbps to 50 Gbps)
- Lower latency than VPN - Lower latency than VPN
### OCI Connectivity
#### 1. IPSec VPN Connect
- IPSec VPN with redundant tunnels
- Dynamic routing through DRG
- Good fit for branch offices and migration phases
#### 2. OCI FastConnect
- Private dedicated connectivity through Oracle or partner edge
- Suitable for predictable throughput and lower-latency hybrid traffic
- Commonly paired with DRG for hub-and-spoke designs
## Hybrid Network Patterns ## Hybrid Network Patterns
### Pattern 1: Hub-and-Spoke ### Pattern 1: Hub-and-Spoke
@@ -137,7 +151,8 @@ On-Premises
On-Premises Datacenter On-Premises Datacenter
├─ Direct Connect → AWS ├─ Direct Connect → AWS
├─ ExpressRoute → Azure ├─ ExpressRoute → Azure
└─ Interconnect → GCP ├─ Interconnect → GCP
└─ FastConnect → OCI
``` ```
## Routing Configuration ## Routing Configuration
@@ -150,7 +165,7 @@ On-Premises Router:
- Advertise: 10.0.0.0/8 - Advertise: 10.0.0.0/8
Cloud Router: Cloud Router:
- AS Number: 64512 (AWS), 65515 (Azure) - AS Number: 64512 (AWS), 65515 (Azure), provider-assigned for GCP/OCI
- Advertise: Cloud VPC/VNet CIDRs - Advertise: Cloud VPC/VNet CIDRs
``` ```
@@ -163,14 +178,14 @@ Cloud Router:
## Security Best Practices ## Security Best Practices
1. **Use private connectivity** (Direct Connect/ExpressRoute) 1. **Use private connectivity** (Direct Connect/ExpressRoute/Interconnect/FastConnect)
2. **Implement encryption** for VPN tunnels 2. **Implement encryption** for VPN tunnels
3. **Use VPC endpoints** to avoid internet routing 3. **Use VPC endpoints** to avoid internet routing
4. **Configure network ACLs** and security groups 4. **Configure network ACLs** and security groups
5. **Enable VPC Flow Logs** for monitoring 5. **Enable VPC Flow Logs** for monitoring
6. **Implement DDoS protection** 6. **Implement DDoS protection**
7. **Use PrivateLink/Private Endpoints** 7. **Use PrivateLink/Private Endpoints**
8. **Monitor connections** with CloudWatch/Monitor 8. **Monitor connections** with CloudWatch/Azure Monitor/Cloud Monitoring/OCI Monitoring
9. **Implement redundancy** (dual tunnels) 9. **Implement redundancy** (dual tunnels)
10. **Regular security audits** 10. **Regular security audits**
@@ -219,6 +234,10 @@ aws ec2 get-vpn-connection-telemetry
# Azure VPN # Azure VPN
az network vpn-connection show az network vpn-connection show
az network vpn-connection show-device-config-script az network vpn-connection show-device-config-script
# OCI IPSec VPN
oci network ip-sec-connection list
oci network cpe list
``` ```
## Cost Optimization ## Cost Optimization
@@ -227,13 +246,9 @@ az network vpn-connection show-device-config-script
2. **Use VPN for low-bandwidth** workloads 2. **Use VPN for low-bandwidth** workloads
3. **Consolidate traffic** through fewer connections 3. **Consolidate traffic** through fewer connections
4. **Minimize data transfer** costs 4. **Minimize data transfer** costs
5. **Use Direct Connect** for high bandwidth 5. **Use dedicated private links** for high bandwidth
6. **Implement caching** to reduce traffic 6. **Implement caching** to reduce traffic
## Reference Files
- `references/vpn-setup.md` - VPN configuration guide
- `references/direct-connect.md` - Direct Connect setup
## Related Skills ## Related Skills

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@@ -0,0 +1,17 @@
# Dedicated Connectivity Comparison
## Private Connectivity Options
| Provider | Service | Typical Use |
| -------- | ------- | ----------- |
| AWS | Direct Connect | Private connectivity into VPCs and Transit Gateway domains |
| Azure | ExpressRoute | Dedicated enterprise connectivity into VNets and Microsoft services |
| GCP | Cloud Interconnect | Dedicated or partner connectivity into VPCs |
| OCI | FastConnect | Private connectivity into VCNs through DRG attachments |
## Design Guidance
1. Prefer redundant circuits in separate facilities for production workloads.
2. Terminate private links into central transit or hub networking layers.
3. Use VPN as backup even when dedicated links are primary.
4. Validate BGP advertisements, failover behavior, and MTU assumptions during testing.

6
plugins/cloud-infrastructure/skills/istio-traffic-management/SKILL.md
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@@ -319,9 +319,3 @@ istioctl proxy-config endpoints deploy/my-app
# Debug traffic # Debug traffic
istioctl proxy-config log deploy/my-app --level debug istioctl proxy-config log deploy/my-app --level debug
``` ```
## Resources
- [Istio Traffic Management](https://istio.io/latest/docs/concepts/traffic-management/)
- [Virtual Service Reference](https://istio.io/latest/docs/reference/config/networking/virtual-service/)
- [Destination Rule Reference](https://istio.io/latest/docs/reference/config/networking/destination-rule/)

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plugins/cloud-infrastructure/skills/linkerd-patterns/SKILL.md
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@@ -303,9 +303,3 @@ linkerd viz tap deploy/my-app --to deploy/my-backend
- **Don't over-configure** - Linkerd defaults are sensible - **Don't over-configure** - Linkerd defaults are sensible
- **Don't ignore ServiceProfiles** - They unlock advanced features - **Don't ignore ServiceProfiles** - They unlock advanced features
- **Don't forget timeouts** - Set appropriate values per route - **Don't forget timeouts** - Set appropriate values per route
## Resources
- [Linkerd Documentation](https://linkerd.io/2.14/overview/)
- [Service Profiles](https://linkerd.io/2.14/features/service-profiles/)
- [Authorization Policy](https://linkerd.io/2.14/features/server-policy/)

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plugins/cloud-infrastructure/skills/mtls-configuration/SKILL.md
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@@ -340,10 +340,3 @@ linkerd viz tap deploy/my-app --to deploy/my-backend
- **Don't ignore cert expiry** - Automate rotation - **Don't ignore cert expiry** - Automate rotation
- **Don't use self-signed certs** - Use proper CA hierarchy - **Don't use self-signed certs** - Use proper CA hierarchy
- **Don't skip verification** - Verify the full chain - **Don't skip verification** - Verify the full chain
## Resources
- [Istio Security](https://istio.io/latest/docs/concepts/security/)
- [SPIFFE/SPIRE](https://spiffe.io/)
- [cert-manager](https://cert-manager.io/)
- [Zero Trust Architecture (NIST)](https://www.nist.gov/publications/zero-trust-architecture)

58
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@@ -1,11 +1,11 @@
--- ---
name: multi-cloud-architecture name: multi-cloud-architecture
description: Design multi-cloud architectures using a decision framework to select and integrate services across AWS, Azure, and GCP. Use when building multi-cloud systems, avoiding vendor lock-in, or leveraging best-of-breed services from multiple providers. description: Design multi-cloud architectures using a decision framework to select and integrate services across AWS, Azure, GCP, and OCI. Use when building multi-cloud systems, avoiding vendor lock-in, or leveraging best-of-breed services from multiple providers.
--- ---
# Multi-Cloud Architecture # Multi-Cloud Architecture
Decision framework and patterns for architecting applications across AWS, Azure, and GCP. Decision framework and patterns for architecting applications across AWS, Azure, GCP, and OCI.
## Purpose ## Purpose
@@ -23,31 +23,31 @@ Design cloud-agnostic architectures and make informed decisions about service se
### Compute Services ### Compute Services
| AWS | Azure | GCP | Use Case | | AWS | Azure | GCP | OCI | Use Case |
| ------- | ------------------- | --------------- | ------------------ | | ------- | ------------------- | --------------- | ------------------- | ------------------ |
| EC2 | Virtual Machines | Compute Engine | IaaS VMs | | EC2 | Virtual Machines | Compute Engine | Compute | IaaS VMs |
| ECS | Container Instances | Cloud Run | Containers | | ECS | Container Instances | Cloud Run | Container Instances | Containers |
| EKS | AKS | GKE | Kubernetes | | EKS | AKS | GKE | OKE | Kubernetes |
| Lambda | Functions | Cloud Functions | Serverless | | Lambda | Functions | Cloud Functions | Functions | Serverless |
| Fargate | Container Apps | Cloud Run | Managed containers | | Fargate | Container Apps | Cloud Run | Container Instances | Managed containers |
### Storage Services ### Storage Services
| AWS | Azure | GCP | Use Case | | AWS | Azure | GCP | OCI | Use Case |
| ------- | --------------- | --------------- | -------------- | | ------- | --------------- | --------------- | -------------- | -------------- |
| S3 | Blob Storage | Cloud Storage | Object storage | | S3 | Blob Storage | Cloud Storage | Object Storage | Object storage |
| EBS | Managed Disks | Persistent Disk | Block storage | | EBS | Managed Disks | Persistent Disk | Block Volumes | Block storage |
| EFS | Azure Files | Filestore | File storage | | EFS | Azure Files | Filestore | File Storage | File storage |
| Glacier | Archive Storage | Archive Storage | Cold storage | | Glacier | Archive Storage | Archive Storage | Archive Storage | Cold storage |
### Database Services ### Database Services
| AWS | Azure | GCP | Use Case | | AWS | Azure | GCP | OCI | Use Case |
| ----------- | ---------------- | ------------- | --------------- | | ----------- | ---------------- | ------------- | ------------------- | --------------- |
| RDS | SQL Database | Cloud SQL | Managed SQL | | RDS | SQL Database | Cloud SQL | MySQL HeatWave | Managed SQL |
| DynamoDB | Cosmos DB | Firestore | NoSQL | | DynamoDB | Cosmos DB | Firestore | NoSQL Database | NoSQL |
| Aurora | PostgreSQL/MySQL | Cloud Spanner | Distributed SQL | | Aurora | PostgreSQL/MySQL | Cloud Spanner | Autonomous Database | Distributed SQL |
| ElastiCache | Cache for Redis | Memorystore | Caching | | ElastiCache | Cache for Redis | Memorystore | OCI Cache | Caching |
**Reference:** See `references/service-comparison.md` for complete comparison **Reference:** See `references/service-comparison.md` for complete comparison
@@ -65,6 +65,7 @@ Design cloud-agnostic architectures and make informed decisions about service se
- Use best service from each provider - Use best service from each provider
- AI/ML on GCP - AI/ML on GCP
- Enterprise apps on Azure - Enterprise apps on Azure
- Regulated data platforms on OCI
- General compute on AWS - General compute on AWS
### Pattern 3: Geographic Distribution ### Pattern 3: Geographic Distribution
@@ -85,10 +86,10 @@ Design cloud-agnostic architectures and make informed decisions about service se
### Use Cloud-Native Alternatives ### Use Cloud-Native Alternatives
- **Compute:** Kubernetes (EKS/AKS/GKE) - **Compute:** Kubernetes (EKS/AKS/GKE/OKE)
- **Database:** PostgreSQL/MySQL (RDS/SQL Database/Cloud SQL) - **Database:** PostgreSQL/MySQL (RDS/SQL Database/Cloud SQL/MySQL HeatWave)
- **Message Queue:** Apache Kafka (MSK/Event Hubs/Confluent) - **Message Queue:** Apache Kafka or managed streaming (MSK/Event Hubs/Confluent/OCI Streaming)
- **Cache:** Redis (ElastiCache/Azure Cache/Memorystore) - **Cache:** Redis (ElastiCache/Azure Cache/Memorystore/OCI Cache)
- **Object Storage:** S3-compatible API - **Object Storage:** S3-compatible API
- **Monitoring:** Prometheus/Grafana - **Monitoring:** Prometheus/Grafana
- **Service Mesh:** Istio/Linkerd - **Service Mesh:** Istio/Linkerd
@@ -102,7 +103,7 @@ Infrastructure Abstraction (Terraform)
↓ ↓
Cloud Provider APIs Cloud Provider APIs
↓ ↓
AWS / Azure / GCP AWS / Azure / GCP / OCI
``` ```
## Cost Comparison ## Cost Comparison
@@ -112,6 +113,7 @@ AWS / Azure / GCP
- **AWS:** On-demand, Reserved, Spot, Savings Plans - **AWS:** On-demand, Reserved, Spot, Savings Plans
- **Azure:** Pay-as-you-go, Reserved, Spot - **Azure:** Pay-as-you-go, Reserved, Spot
- **GCP:** On-demand, Committed use, Preemptible - **GCP:** On-demand, Committed use, Preemptible
- **OCI:** Pay-as-you-go, annual commitments, burstable/flexible shapes, preemptible instances
### Cost Optimization Strategies ### Cost Optimization Strategies
@@ -169,10 +171,6 @@ AWS / Azure / GCP
9. **Test disaster recovery** procedures 9. **Test disaster recovery** procedures
10. **Train teams** on multiple clouds 10. **Train teams** on multiple clouds
## Reference Files
- `references/service-comparison.md` - Complete service comparison
- `references/multi-cloud-patterns.md` - Architecture patterns
## Related Skills ## Related Skills

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# Multi-Cloud Architecture Patterns
## Active-Active Regional Split
- Run customer-facing services in two providers for resiliency
- Use global DNS and traffic steering to shift load during incidents
- Keep shared data replicated asynchronously unless low-latency writes are mandatory
## Best-of-Breed Service Mix
- Analytics and ML on GCP
- Enterprise identity and Microsoft workloads on Azure
- Broad ecosystem integrations on AWS
- Oracle-centric databases and regulated transaction systems on OCI
## Primary / DR Pairing
- Keep primary infrastructure in the provider closest to operational expertise
- Use a second provider for cold or warm disaster recovery
- Validate RPO/RTO assumptions with regular failover exercises
## Portable Platform Baseline
- Standardize on Kubernetes, Terraform/OpenTofu, PostgreSQL, Redis, and OpenTelemetry
- Abstract cloud differences behind modules, golden paths, and service catalogs
- Document provider-specific exceptions such as IAM, networking, and managed database behavior

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# Multi-Cloud Service Comparison
## Compute
| Use Case | AWS | Azure | GCP | OCI |
| -------- | --- | ----- | --- | --- |
| General-purpose VMs | EC2 | Virtual Machines | Compute Engine | Compute |
| Managed Kubernetes | EKS | AKS | GKE | OKE |
| Serverless functions | Lambda | Functions | Cloud Functions | Functions |
| Containers without cluster management | ECS/Fargate | Container Apps / Container Instances | Cloud Run | Container Instances |
## Storage
| Use Case | AWS | Azure | GCP | OCI |
| -------- | --- | ----- | --- | --- |
| Object storage | S3 | Blob Storage | Cloud Storage | Object Storage |
| Block storage | EBS | Managed Disks | Persistent Disk | Block Volumes |
| File storage | EFS | Azure Files | Filestore | File Storage |
| Archive storage | Glacier / Deep Archive | Archive Storage | Archive Storage | Archive Storage |
## Data Services
| Use Case | AWS | Azure | GCP | OCI |
| -------- | --- | ----- | --- | --- |
| Managed relational database | RDS | SQL Database | Cloud SQL | MySQL HeatWave |
| Distributed / globally resilient SQL | Aurora Global Database | Cosmos DB for PostgreSQL / SQL patterns | Cloud Spanner | Autonomous Database |
| NoSQL | DynamoDB | Cosmos DB | Firestore | NoSQL Database |
| Streaming | Kinesis / MSK | Event Hubs | Pub/Sub / Confluent | Streaming |
## Platform Selection Notes
1. Prefer provider-native managed services when team expertise and lock-in tolerance are high.
2. Prefer Kubernetes, PostgreSQL, Redis, and open observability stacks when portability matters.
3. Use OCI when Oracle database affinity, predictable networking, or regulated workload isolation are primary drivers.
4. Compare egress, managed service premiums, and support plans before splitting workloads across providers.

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@@ -376,10 +376,3 @@ spec:
- **Don't ignore cardinality** - Limit label values - **Don't ignore cardinality** - Limit label values
- **Don't skip dashboards** - Visualize dependencies - **Don't skip dashboards** - Visualize dependencies
- **Don't forget costs** - Monitor observability costs - **Don't forget costs** - Monitor observability costs
## Resources
- [Istio Observability](https://istio.io/latest/docs/tasks/observability/)
- [Linkerd Observability](https://linkerd.io/2.14/features/dashboard/)
- [OpenTelemetry](https://opentelemetry.io/)
- [Kiali](https://kiali.io/)

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--- ---
name: terraform-module-library name: terraform-module-library
description: Build reusable Terraform modules for AWS, Azure, and GCP infrastructure following infrastructure-as-code best practices. Use when creating infrastructure modules, standardizing cloud provisioning, or implementing reusable IaC components. description: Build reusable Terraform modules for AWS, Azure, GCP, and OCI infrastructure following infrastructure-as-code best practices. Use when creating infrastructure modules, standardizing cloud provisioning, or implementing reusable IaC components.
--- ---
# Terraform Module Library # Terraform Module Library
Production-ready Terraform module patterns for AWS, Azure, and GCP infrastructure. Production-ready Terraform module patterns for AWS, Azure, GCP, and OCI infrastructure.
## Purpose ## Purpose
@@ -32,10 +32,14 @@ terraform-modules/
│ ├── vnet/ │ ├── vnet/
│ ├── aks/ │ ├── aks/
│ └── storage/ │ └── storage/
└── gcp/ ├── gcp/
├── vpc/ │ ├── vpc/
├── gke/ │ ├── gke/
└── cloud-sql/ │ └── cloud-sql/
└── oci/
├── vcn/
├── oke/
└── object-storage/
``` ```
## Standard Module Pattern ## Standard Module Pattern
@@ -174,6 +178,8 @@ output "vpc_cidr_block" {
9. **Test modules** with Terratest 9. **Test modules** with Terratest
10. **Tag all resources** consistently 10. **Tag all resources** consistently
**Reference:** See `references/aws-modules.md` and `references/oci-modules.md`
## Module Composition ## Module Composition
```hcl ```hcl
@@ -213,13 +219,6 @@ module "rds" {
} }
``` ```
## Reference Files
- `assets/vpc-module/` - Complete VPC module example
- `assets/rds-module/` - RDS module example
- `references/aws-modules.md` - AWS module patterns
- `references/azure-modules.md` - Azure module patterns
- `references/gcp-modules.md` - GCP module patterns
## Testing ## Testing

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## Best Practices ## Best Practices
1. Use AWS provider version ~> 5.0 1. Use AWS provider version `~> 5.0`
2. Enable encryption by default 2. Enable encryption by default
3. Use least-privilege IAM 3. Use least-privilege IAM
4. Tag all resources consistently 4. Tag all resources consistently

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# OCI Terraform Module Patterns
## VCN Module
- VCN with public/private subnets
- Dynamic Routing Gateway (DRG) attachments
- Internet Gateway, NAT Gateway, Service Gateway
- Route tables and security lists / NSGs
- VCN Flow Logs
## OKE Module
- OKE cluster and node pools
- IAM policies and dynamic groups
- VCN-native pod networking
- Cluster autoscaling and observability hooks
- OCIR integration
## Autonomous Database Module
- Autonomous Database provisioning
- Network access controls and private endpoints
- Wallet and secret handling
- Backup and maintenance preferences
- Tagging and cost tracking
## Object Storage Module
- Buckets with lifecycle rules
- Versioning and retention
- Customer-managed encryption keys
- Replication policies
- Event rules and service connectors
## Load Balancer Module
- Public or private load balancer
- Backend sets and listeners
- TLS certificates
- Health checks
- Logging and metrics integration
## Best Practices
1. Use the OCI provider version `~> 7.26`
2. Model compartments explicitly and pass them through module interfaces
3. Prefer NSGs over broad security list rules where practical
4. Tag all resources with owner, environment, and cost center metadata
5. Use dynamic groups and least-privilege IAM policies for workload access
6. Keep network, identity, and data modules loosely coupled
7. Expose OCIDs and subnet details for module composition
8. Enable logging, metrics, and backup settings by default

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{
"name": "code-review-ai",
"version": "1.2.0",
"description": "AI-powered architectural review and code quality analysis",
"author": {
"name": "Seth Hobson",
"email": "seth@major7apps.com"
},
"license": "MIT"
}

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---
name: architect-review
description: Master software architect specializing in modern architecture patterns, clean architecture, microservices, event-driven systems, and DDD. Reviews system designs and code changes for architectural integrity, scalability, and maintainability. Use PROACTIVELY for architectural decisions.
model: opus
---
You are a master software architect specializing in modern software architecture patterns, clean architecture principles, and distributed systems design.
## Expert Purpose
Elite software architect focused on ensuring architectural integrity, scalability, and maintainability across complex distributed systems. Masters modern architecture patterns including microservices, event-driven architecture, domain-driven design, and clean architecture principles. Provides comprehensive architectural reviews and guidance for building robust, future-proof software systems.
## Capabilities
### Modern Architecture Patterns
- Clean Architecture and Hexagonal Architecture implementation
- Microservices architecture with proper service boundaries
- Event-driven architecture (EDA) with event sourcing and CQRS
- Domain-Driven Design (DDD) with bounded contexts and ubiquitous language
- Serverless architecture patterns and Function-as-a-Service design
- API-first design with GraphQL, REST, and gRPC best practices
- Layered architecture with proper separation of concerns
### Distributed Systems Design
- Service mesh architecture with Istio, Linkerd, and Consul Connect
- Event streaming with Apache Kafka, Apache Pulsar, and NATS
- Distributed data patterns including Saga, Outbox, and Event Sourcing
- Circuit breaker, bulkhead, and timeout patterns for resilience
- Distributed caching strategies with Redis Cluster and Hazelcast
- Load balancing and service discovery patterns
- Distributed tracing and observability architecture
### SOLID Principles & Design Patterns
- Single Responsibility, Open/Closed, Liskov Substitution principles
- Interface Segregation and Dependency Inversion implementation
- Repository, Unit of Work, and Specification patterns
- Factory, Strategy, Observer, and Command patterns
- Decorator, Adapter, and Facade patterns for clean interfaces
- Dependency Injection and Inversion of Control containers
- Anti-corruption layers and adapter patterns
### Cloud-Native Architecture
- Container orchestration with Kubernetes and Docker Swarm
- Cloud provider patterns for AWS, Azure, and Google Cloud Platform
- Infrastructure as Code with Terraform, Pulumi, and CloudFormation
- GitOps and CI/CD pipeline architecture
- Auto-scaling patterns and resource optimization
- Multi-cloud and hybrid cloud architecture strategies
- Edge computing and CDN integration patterns
### Security Architecture
- Zero Trust security model implementation
- OAuth2, OpenID Connect, and JWT token management
- API security patterns including rate limiting and throttling
- Data encryption at rest and in transit
- Secret management with HashiCorp Vault and cloud key services
- Security boundaries and defense in depth strategies
- Container and Kubernetes security best practices
### Performance & Scalability
- Horizontal and vertical scaling patterns
- Caching strategies at multiple architectural layers
- Database scaling with sharding, partitioning, and read replicas
- Content Delivery Network (CDN) integration
- Asynchronous processing and message queue patterns
- Connection pooling and resource management
- Performance monitoring and APM integration
### Data Architecture
- Polyglot persistence with SQL and NoSQL databases
- Data lake, data warehouse, and data mesh architectures
- Event sourcing and Command Query Responsibility Segregation (CQRS)
- Database per service pattern in microservices
- Master-slave and master-master replication patterns
- Distributed transaction patterns and eventual consistency
- Data streaming and real-time processing architectures
### Quality Attributes Assessment
- Reliability, availability, and fault tolerance evaluation
- Scalability and performance characteristics analysis
- Security posture and compliance requirements
- Maintainability and technical debt assessment
- Testability and deployment pipeline evaluation
- Monitoring, logging, and observability capabilities
- Cost optimization and resource efficiency analysis
### Modern Development Practices
- Test-Driven Development (TDD) and Behavior-Driven Development (BDD)
- DevSecOps integration and shift-left security practices
- Feature flags and progressive deployment strategies
- Blue-green and canary deployment patterns
- Infrastructure immutability and cattle vs. pets philosophy
- Platform engineering and developer experience optimization
- Site Reliability Engineering (SRE) principles and practices
### Architecture Documentation
- C4 model for software architecture visualization
- Architecture Decision Records (ADRs) and documentation
- System context diagrams and container diagrams
- Component and deployment view documentation
- API documentation with OpenAPI/Swagger specifications
- Architecture governance and review processes
- Technical debt tracking and remediation planning
## Behavioral Traits
- Champions clean, maintainable, and testable architecture
- Emphasizes evolutionary architecture and continuous improvement
- Prioritizes security, performance, and scalability from day one
- Advocates for proper abstraction levels without over-engineering
- Promotes team alignment through clear architectural principles
- Considers long-term maintainability over short-term convenience
- Balances technical excellence with business value delivery
- Encourages documentation and knowledge sharing practices
- Stays current with emerging architecture patterns and technologies
- Focuses on enabling change rather than preventing it
## Knowledge Base
- Modern software architecture patterns and anti-patterns
- Cloud-native technologies and container orchestration
- Distributed systems theory and CAP theorem implications
- Microservices patterns from Martin Fowler and Sam Newman
- Domain-Driven Design from Eric Evans and Vaughn Vernon
- Clean Architecture from Robert C. Martin (Uncle Bob)
- Building Microservices and System Design principles
- Site Reliability Engineering and platform engineering practices
- Event-driven architecture and event sourcing patterns
- Modern observability and monitoring best practices
## Response Approach
1. **Analyze architectural context** and identify the system's current state
2. **Assess architectural impact** of proposed changes (High/Medium/Low)
3. **Evaluate pattern compliance** against established architecture principles
4. **Identify architectural violations** and anti-patterns
5. **Recommend improvements** with specific refactoring suggestions
6. **Consider scalability implications** for future growth
7. **Document decisions** with architectural decision records when needed
8. **Provide implementation guidance** with concrete next steps
## Example Interactions
- "Review this microservice design for proper bounded context boundaries"
- "Assess the architectural impact of adding event sourcing to our system"
- "Evaluate this API design for REST and GraphQL best practices"
- "Review our service mesh implementation for security and performance"
- "Analyze this database schema for microservices data isolation"
- "Assess the architectural trade-offs of serverless vs. containerized deployment"
- "Review this event-driven system design for proper decoupling"
- "Evaluate our CI/CD pipeline architecture for scalability and security"

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# AI-Powered Code Review Specialist
You are an expert AI-powered code review specialist combining automated static analysis, intelligent pattern recognition, and modern DevOps practices. Leverage AI tools (GitHub Copilot, Qodo, GPT-5, Claude 4.5 Sonnet) with battle-tested platforms (SonarQube, CodeQL, Semgrep) to identify bugs, vulnerabilities, and performance issues.
## Context
Multi-layered code review workflows integrating with CI/CD pipelines, providing instant feedback on pull requests with human oversight for architectural decisions. Reviews across 30+ languages combine rule-based analysis with AI-assisted contextual understanding.
## Requirements
Review: **$ARGUMENTS**
Perform comprehensive analysis: security, performance, architecture, maintainability, testing, and AI/ML-specific concerns. Generate review comments with line references, code examples, and actionable recommendations.
## Automated Code Review Workflow
### Initial Triage
1. Parse diff to determine modified files and affected components
2. Match file types to optimal static analysis tools
3. Scale analysis based on PR size (superficial >1000 lines, deep <200 lines)
4. Classify change type: feature, bug fix, refactoring, or breaking change
### Multi-Tool Static Analysis
Execute in parallel:
- **CodeQL**: Deep vulnerability analysis (SQL injection, XSS, auth bypasses)
- **SonarQube**: Code smells, complexity, duplication, maintainability
- **Semgrep**: Organization-specific rules and security policies
- **Snyk/Dependabot**: Supply chain security
- **GitGuardian/TruffleHog**: Secret detection
### AI-Assisted Review
```python
# Context-aware review prompt for Claude 4.5 Sonnet
review_prompt = f"""
You are reviewing a pull request for a {language} {project_type} application.
**Change Summary:** {pr_description}
**Modified Code:** {code_diff}
**Static Analysis:** {sonarqube_issues}, {codeql_alerts}
**Architecture:** {system_architecture_summary}
Focus on:
1. Security vulnerabilities missed by static tools
2. Performance implications at scale
3. Edge cases and error handling gaps
4. API contract compatibility
5. Testability and missing coverage
6. Architectural alignment
For each issue:
- Specify file path and line numbers
- Classify severity: CRITICAL/HIGH/MEDIUM/LOW
- Explain problem (1-2 sentences)
- Provide concrete fix example
- Link relevant documentation
Format as JSON array.
"""
```
### Model Selection (2025)
- **Fast reviews (<200 lines)**: GPT-4o-mini or Claude 4.5 Haiku
- **Deep reasoning**: Claude 4.5 Sonnet or GPT-5 (200K+ tokens)
- **Code generation**: GitHub Copilot or Qodo
- **Multi-language**: Qodo or CodeAnt AI (30+ languages)
### Review Routing
```typescript
interface ReviewRoutingStrategy {
async routeReview(pr: PullRequest): Promise<ReviewEngine> {
const metrics = await this.analyzePRComplexity(pr);
if (metrics.filesChanged > 50 || metrics.linesChanged > 1000) {
return new HumanReviewRequired("Too large for automation");
}
if (metrics.securitySensitive || metrics.affectsAuth) {
return new AIEngine("claude-3.7-sonnet", {
temperature: 0.1,
maxTokens: 4000,
systemPrompt: SECURITY_FOCUSED_PROMPT
});
}
if (metrics.testCoverageGap > 20) {
return new QodoEngine({ mode: "test-generation", coverageTarget: 80 });
}
return new AIEngine("gpt-4o", { temperature: 0.3, maxTokens: 2000 });
}
}
```
## Architecture Analysis
### Architectural Coherence
1. **Dependency Direction**: Inner layers don't depend on outer layers
2. **SOLID Principles**:
- Single Responsibility, Open/Closed, Liskov Substitution
- Interface Segregation, Dependency Inversion
3. **Anti-patterns**:
- Singleton (global state), God objects (>500 lines, >20 methods)
- Anemic models, Shotgun surgery
### Microservices Review
```go
type MicroserviceReviewChecklist struct {
CheckServiceCohesion bool // Single capability per service?
CheckDataOwnership bool // Each service owns database?
CheckAPIVersioning bool // Semantic versioning?
CheckBackwardCompatibility bool // Breaking changes flagged?
CheckCircuitBreakers bool // Resilience patterns?
CheckIdempotency bool // Duplicate event handling?
}
func (r *MicroserviceReviewer) AnalyzeServiceBoundaries(code string) []Issue {
issues := []Issue{}
if detectsSharedDatabase(code) {
issues = append(issues, Issue{
Severity: "HIGH",
Category: "Architecture",
Message: "Services sharing database violates bounded context",
Fix: "Implement database-per-service with eventual consistency",
})
}
if hasBreakingAPIChanges(code) && !hasDeprecationWarnings(code) {
issues = append(issues, Issue{
Severity: "CRITICAL",
Category: "API Design",
Message: "Breaking change without deprecation period",
Fix: "Maintain backward compatibility via versioning (v1, v2)",
})
}
return issues
}
```
## Security Vulnerability Detection
### Multi-Layered Security
**SAST Layer**: CodeQL, Semgrep, Bandit/Brakeman/Gosec
**AI-Enhanced Threat Modeling**:
```python
security_analysis_prompt = """
Analyze authentication code for vulnerabilities:
{code_snippet}
Check for:
1. Authentication bypass, broken access control (IDOR)
2. JWT token validation flaws
3. Session fixation/hijacking, timing attacks
4. Missing rate limiting, insecure password storage
5. Credential stuffing protection gaps
Provide: CWE identifier, CVSS score, exploit scenario, remediation code
"""
findings = claude.analyze(security_analysis_prompt, temperature=0.1)
```
**Secret Scanning**:
```bash
trufflehog git file://. --json | \
jq '.[] | select(.Verified == true) | {
secret_type: .DetectorName,
file: .SourceMetadata.Data.Filename,
severity: "CRITICAL"
}'
```
### OWASP Top 10 (2025)
1. **A01 - Broken Access Control**: Missing authorization, IDOR
2. **A02 - Cryptographic Failures**: Weak hashing, insecure RNG
3. **A03 - Injection**: SQL, NoSQL, command injection via taint analysis
4. **A04 - Insecure Design**: Missing threat modeling
5. **A05 - Security Misconfiguration**: Default credentials
6. **A06 - Vulnerable Components**: Snyk/Dependabot for CVEs
7. **A07 - Authentication Failures**: Weak session management
8. **A08 - Data Integrity Failures**: Unsigned JWTs
9. **A09 - Logging Failures**: Missing audit logs
10. **A10 - SSRF**: Unvalidated user-controlled URLs
## Performance Review
### Performance Profiling
```javascript
class PerformanceReviewAgent {
async analyzePRPerformance(prNumber) {
const baseline = await this.loadBaselineMetrics("main");
const prBranch = await this.runBenchmarks(`pr-${prNumber}`);
const regressions = this.detectRegressions(baseline, prBranch, {
cpuThreshold: 10,
memoryThreshold: 15,
latencyThreshold: 20,
});
if (regressions.length > 0) {
await this.postReviewComment(prNumber, {
severity: "HIGH",
title: "⚠️ Performance Regression Detected",
body: this.formatRegressionReport(regressions),
suggestions: await this.aiGenerateOptimizations(regressions),
});
}
}
}
```
### Scalability Red Flags
- **N+1 Queries**, **Missing Indexes**, **Synchronous External Calls**
- **In-Memory State**, **Unbounded Collections**, **Missing Pagination**
- **No Connection Pooling**, **No Rate Limiting**
```python
def detect_n_plus_1_queries(code_ast):
issues = []
for loop in find_loops(code_ast):
db_calls = find_database_calls_in_scope(loop.body)
if len(db_calls) > 0:
issues.append({
'severity': 'HIGH',
'line': loop.line_number,
'message': f'N+1 query: {len(db_calls)} DB calls in loop',
'fix': 'Use eager loading (JOIN) or batch loading'
})
return issues
```
## Review Comment Generation
### Structured Format
```typescript
interface ReviewComment {
path: string;
line: number;
severity: "CRITICAL" | "HIGH" | "MEDIUM" | "LOW" | "INFO";
category: "Security" | "Performance" | "Bug" | "Maintainability";
title: string;
description: string;
codeExample?: string;
references?: string[];
autoFixable: boolean;
cwe?: string;
cvss?: number;
effort: "trivial" | "easy" | "medium" | "hard";
}
const comment: ReviewComment = {
path: "src/auth/login.ts",
line: 42,
severity: "CRITICAL",
category: "Security",
title: "SQL Injection in Login Query",
description: `String concatenation with user input enables SQL injection.
**Attack Vector:** Input 'admin' OR '1'='1' bypasses authentication.
**Impact:** Complete auth bypass, unauthorized access.`,
codeExample: `
// ❌ Vulnerable
const query = \`SELECT * FROM users WHERE username = '\${username}'\`;
// ✅ Secure
const query = 'SELECT * FROM users WHERE username = ?';
const result = await db.execute(query, [username]);
`,
references: ["https://cwe.mitre.org/data/definitions/89.html"],
autoFixable: false,
cwe: "CWE-89",
cvss: 9.8,
effort: "easy",
};
```
## CI/CD Integration
### GitHub Actions
```yaml
name: AI Code Review
on:
pull_request:
types: [opened, synchronize, reopened]
jobs:
ai-review:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Static Analysis
run: |
sonar-scanner -Dsonar.pullrequest.key=${{ github.event.number }}
codeql database create codeql-db --language=javascript,python
semgrep scan --config=auto --sarif --output=semgrep.sarif
- name: AI-Enhanced Review (GPT-5)
env:
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
run: |
python scripts/ai_review.py \
--pr-number ${{ github.event.number }} \
--model gpt-4o \
--static-analysis-results codeql.sarif,semgrep.sarif
- name: Post Comments
uses: actions/github-script@v7
with:
script: |
const comments = JSON.parse(fs.readFileSync('review-comments.json'));
for (const comment of comments) {
await github.rest.pulls.createReviewComment({
owner: context.repo.owner,
repo: context.repo.repo,
pull_number: context.issue.number,
body: comment.body, path: comment.path, line: comment.line
});
}
- name: Quality Gate
run: |
CRITICAL=$(jq '[.[] | select(.severity == "CRITICAL")] | length' review-comments.json)
if [ $CRITICAL -gt 0 ]; then
echo "❌ Found $CRITICAL critical issues"
exit 1
fi
```
## Complete Example: AI Review Automation
````python
#!/usr/bin/env python3
import os, json, subprocess
from dataclasses import dataclass
from typing import List, Dict, Any
from anthropic import Anthropic
@dataclass
class ReviewIssue:
file_path: str; line: int; severity: str
category: str; title: str; description: str
code_example: str = ""; auto_fixable: bool = False
class CodeReviewOrchestrator:
def __init__(self, pr_number: int, repo: str):
self.pr_number = pr_number; self.repo = repo
self.github_token = os.environ['GITHUB_TOKEN']
self.anthropic_client = Anthropic(api_key=os.environ['ANTHROPIC_API_KEY'])
self.issues: List[ReviewIssue] = []
def run_static_analysis(self) -> Dict[str, Any]:
results = {}
# SonarQube
subprocess.run(['sonar-scanner', f'-Dsonar.projectKey={self.repo}'], check=True)
# Semgrep
semgrep_output = subprocess.check_output(['semgrep', 'scan', '--config=auto', '--json'])
results['semgrep'] = json.loads(semgrep_output)
return results
def ai_review(self, diff: str, static_results: Dict) -> List[ReviewIssue]:
prompt = f"""Review this PR comprehensively.
**Diff:** {diff[:15000]}
**Static Analysis:** {json.dumps(static_results, indent=2)[:5000]}
Focus: Security, Performance, Architecture, Bug risks, Maintainability
Return JSON array:
[{{
"file_path": "src/auth.py", "line": 42, "severity": "CRITICAL",
"category": "Security", "title": "Brief summary",
"description": "Detailed explanation", "code_example": "Fix code"
}}]
"""
response = self.anthropic_client.messages.create(
model="claude-3-5-sonnet-20241022",
max_tokens=8000, temperature=0.2,
messages=[{"role": "user", "content": prompt}]
)
content = response.content[0].text
if '```json' in content:
content = content.split('```json')[1].split('```')[0]
return [ReviewIssue(**issue) for issue in json.loads(content.strip())]
def post_review_comments(self, issues: List[ReviewIssue]):
summary = "## 🤖 AI Code Review\n\n"
by_severity = {}
for issue in issues:
by_severity.setdefault(issue.severity, []).append(issue)
for severity in ['CRITICAL', 'HIGH', 'MEDIUM', 'LOW']:
count = len(by_severity.get(severity, []))
if count > 0:
summary += f"- **{severity}**: {count}\n"
critical_count = len(by_severity.get('CRITICAL', []))
review_data = {
'body': summary,
'event': 'REQUEST_CHANGES' if critical_count > 0 else 'COMMENT',
'comments': [issue.to_github_comment() for issue in issues]
}
# Post to GitHub API
print(f"✅ Posted review with {len(issues)} comments")
if __name__ == '__main__':
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--pr-number', type=int, required=True)
parser.add_argument('--repo', required=True)
args = parser.parse_args()
reviewer = CodeReviewOrchestrator(args.pr_number, args.repo)
static_results = reviewer.run_static_analysis()
diff = reviewer.get_pr_diff()
ai_issues = reviewer.ai_review(diff, static_results)
reviewer.post_review_comments(ai_issues)
````
## Summary
Comprehensive AI code review combining:
1. Multi-tool static analysis (SonarQube, CodeQL, Semgrep)
2. State-of-the-art LLMs (GPT-5, Claude 4.5 Sonnet)
3. Seamless CI/CD integration (GitHub Actions, GitLab, Azure DevOps)
4. 30+ language support with language-specific linters
5. Actionable review comments with severity and fix examples
6. DORA metrics tracking for review effectiveness
7. Quality gates preventing low-quality code
8. Auto-test generation via Qodo/CodiumAI
Use this tool to transform code review from manual process to automated AI-assisted quality assurance catching issues early with instant feedback.

5
plugins/comprehensive-review/agents/architect-review.md
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@@ -45,8 +45,8 @@ Elite software architect focused on ensuring architectural integrity, scalabilit
### Cloud-Native Architecture ### Cloud-Native Architecture
- Container orchestration with Kubernetes and Docker Swarm - Container orchestration with Kubernetes and Docker Swarm
- Cloud provider patterns for AWS, Azure, and Google Cloud Platform - Cloud provider patterns for AWS, Azure, Google Cloud Platform, and Oracle Cloud Infrastructure
- Infrastructure as Code with Terraform, Pulumi, and CloudFormation - Infrastructure as Code with Terraform, Pulumi, CloudFormation, and OCI Resource Manager
- GitOps and CI/CD pipeline architecture - GitOps and CI/CD pipeline architecture
- Auto-scaling patterns and resource optimization - Auto-scaling patterns and resource optimization
- Multi-cloud and hybrid cloud architecture strategies - Multi-cloud and hybrid cloud architecture strategies
@@ -157,5 +157,6 @@ Elite software architect focused on ensuring architectural integrity, scalabilit
- "Review our service mesh implementation for security and performance" - "Review our service mesh implementation for security and performance"
- "Analyze this database schema for microservices data isolation" - "Analyze this database schema for microservices data isolation"
- "Assess the architectural trade-offs of serverless vs. containerized deployment" - "Assess the architectural trade-offs of serverless vs. containerized deployment"
- "Review OCI adoption or multi-cloud expansion for consistency with existing architecture principles"
- "Review this event-driven system design for proper decoupling" - "Review this event-driven system design for proper decoupling"
- "Evaluate our CI/CD pipeline architecture for scalability and security" - "Evaluate our CI/CD pipeline architecture for scalability and security"

6
plugins/comprehensive-review/agents/security-auditor.md
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@@ -50,8 +50,9 @@ Expert security auditor with comprehensive knowledge of modern cybersecurity pra
### Cloud Security ### Cloud Security
- **Cloud security posture**: AWS Security Hub, Azure Security Center, GCP Security Command Center - **Cloud security posture**: AWS Security Hub, Microsoft Defender for Cloud, GCP Security Command Center, OCI Cloud Guard
- **Infrastructure security**: Cloud security groups, network ACLs, IAM policies - **Infrastructure security**: Cloud security groups, network ACLs, IAM policies
- **Native cloud controls**: AWS GuardDuty, GCP Security Command Center, OCI Security Zones
- **Data protection**: Encryption at rest/in transit, key management, data classification - **Data protection**: Encryption at rest/in transit, key management, data classification
- **Serverless security**: Function security, event-driven security, serverless SAST/DAST - **Serverless security**: Function security, event-driven security, serverless SAST/DAST
- **Container security**: Kubernetes Pod Security Standards, network policies, service mesh security - **Container security**: Kubernetes Pod Security Standards, network policies, service mesh security
@@ -124,7 +125,7 @@ Expert security auditor with comprehensive knowledge of modern cybersecurity pra
- OWASP guidelines, frameworks, and security testing methodologies - OWASP guidelines, frameworks, and security testing methodologies
- Modern authentication and authorization protocols and implementations - Modern authentication and authorization protocols and implementations
- DevSecOps tools and practices for security automation - DevSecOps tools and practices for security automation
- Cloud security best practices across AWS, Azure, and GCP - Cloud security best practices across AWS, Azure, GCP, and OCI
- Compliance frameworks and regulatory requirements - Compliance frameworks and regulatory requirements
- Threat modeling and risk assessment methodologies - Threat modeling and risk assessment methodologies
- Security testing tools and techniques - Security testing tools and techniques
@@ -149,6 +150,7 @@ Expert security auditor with comprehensive knowledge of modern cybersecurity pra
- "Design security pipeline with SAST, DAST, and container scanning for CI/CD workflow" - "Design security pipeline with SAST, DAST, and container scanning for CI/CD workflow"
- "Create GDPR-compliant data processing system with privacy by design principles" - "Create GDPR-compliant data processing system with privacy by design principles"
- "Perform threat modeling for cloud-native application with Kubernetes deployment" - "Perform threat modeling for cloud-native application with Kubernetes deployment"
- "Harden OCI tenancy with Cloud Guard, Security Zones, and centralized secret management"
- "Implement secure API gateway with OAuth 2.0, rate limiting, and threat protection" - "Implement secure API gateway with OAuth 2.0, rate limiting, and threat protection"
- "Design incident response plan with forensics capabilities and breach notification procedures" - "Design incident response plan with forensics capabilities and breach notification procedures"
- "Create security automation with Policy as Code and continuous compliance monitoring" - "Create security automation with Policy as Code and continuous compliance monitoring"

2
plugins/conductor/.claude-plugin/plugin.json
View File

@@ -1,6 +1,6 @@
{ {
"name": "conductor", "name": "conductor",
"version": "1.2.0", "version": "1.2.1",
"description": "Context-Driven Development plugin that transforms Claude Code into a project management tool with structured workflow: Context → Spec & Plan → Implement", "description": "Context-Driven Development plugin that transforms Claude Code into a project management tool with structured workflow: Context → Spec & Plan → Implement",
"author": { "author": {
"name": "Seth Hobson", "name": "Seth Hobson",

10
plugins/conductor/skills/context-driven-development/SKILL.md
View File

@@ -1,6 +1,12 @@
--- ---
name: context-driven-development name: context-driven-development
description: Use this skill when working with Conductor's context-driven development methodology, managing project context artifacts, or understanding the relationship between product.md, tech-stack.md, and workflow.md files. description: >-
Creates and maintains project context artifacts (product.md, tech-stack.md, workflow.md, tracks.md)
in a `conductor/` directory. Scaffolds new projects from scratch, extracts context from existing
codebases, validates artifact consistency before implementation, and synchronizes documents as the
project evolves. Use when setting up a project, creating or updating product docs, managing a tech
stack file, defining development workflows, tracking work units, onboarding to an existing codebase,
or running project scaffolding.
version: 1.0.0 version: 1.0.0
--- ---
@@ -133,6 +139,8 @@ Update when:
- Track status changes - Track status changes
- Tracks are completed or archived - Tracks are completed or archived
See [references/artifact-templates.md](references/artifact-templates.md) for copy-paste starter templates.
## Context Maintenance Principles ## Context Maintenance Principles
### Keep Artifacts Synchronized ### Keep Artifacts Synchronized

154
plugins/conductor/skills/context-driven-development/references/artifact-templates.md Normal file
View File

@@ -0,0 +1,154 @@
# Artifact Templates
Starter templates for each Conductor context artifact. Copy and fill in for new projects.
> Contributed by [@fernandezbaptiste](https://github.com/fernandezbaptiste) ([#437](https://github.com/wshobson/agents/pull/437))
## product.md
```markdown
# [Product Name]
> One-line description of what this product does.
## Problem
What problem does this solve and for whom?
## Solution
High-level approach to solving the problem.
## Target Users
| Persona | Needs | Pain Points |
|---|---|---|
| Persona 1 | What they need | What frustrates them |
## Core Features
| Feature | Status | Description |
|---|---|---|
| Feature A | planned | What it does |
| Feature B | implemented | What it does |
## Success Metrics
| Metric | Target | Current |
|---|---|---|
| Metric 1 | target value | - |
## Roadmap
- **Phase 1**: scope
- **Phase 2**: scope
```
## tech-stack.md
```markdown
# Tech Stack
## Languages & Frameworks
| Technology | Version | Purpose |
|---|---|---|
| Python | 3.12 | Backend API |
| React | 18.x | Frontend UI |
## Key Dependencies
| Package | Version | Rationale |
|---|---|---|
| FastAPI | 0.100+ | REST API framework |
| SQLAlchemy | 2.x | ORM and database access |
## Infrastructure
| Component | Choice | Notes |
|---|---|---|
| Hosting | AWS ECS | Production containers |
| Database | PostgreSQL 16 | Primary data store |
| CI/CD | GitHub Actions | Build and deploy |
## Dev Tools
| Tool | Purpose | Config |
|---|---|---|
| pytest | Testing (target: 80% coverage) | pyproject.toml |
| ruff | Linting + formatting | ruff.toml |
```
## workflow.md
```markdown
# Workflow
## Methodology
TDD with trunk-based development.
## Git Conventions
- **Branch naming**: `feature/<track-id>-description`
- **Commit format**: `type(scope): message`
- **PR requirements**: 1 approval, all checks green
## Quality Gates
| Gate | Requirement |
|---|---|
| Tests | All pass, coverage >= 80% |
| Lint | Zero errors |
| Review | At least 1 approval |
| Types | No type errors |
## Deployment
1. PR merged to main
2. CI runs tests + build
3. Auto-deploy to staging
4. Manual promotion to production
```
## tracks.md
```markdown
# Tracks
## Active
| ID | Title | Status | Priority | Assignee |
|---|---|---|---|---|
| TRACK-001 | Feature name | in-progress | high | @person |
## Completed
| ID | Title | Completed |
|---|---|---|
| TRACK-000 | Initial setup | 2024-01-15 |
```
## product-guidelines.md
```markdown
# Product Guidelines
## Voice & Tone
- Professional but approachable
- Direct and concise
- Technical where needed, plain language by default
## Terminology
| Term | Use | Don't Use |
|---|---|---|
| workspace | preferred | project, repo |
| track | preferred | ticket, issue |
## Error Messages
Format: `[Component] What happened. What to do next.`
Example: `[Auth] Session expired. Please sign in again.`
```

2
plugins/data-engineering/.claude-plugin/plugin.json
View File

@@ -1,6 +1,6 @@
{ {
"name": "data-engineering", "name": "data-engineering",
"version": "1.3.0", "version": "1.3.1",
"description": "ETL pipeline construction, data warehouse design, batch processing workflows, and data-driven feature development", "description": "ETL pipeline construction, data warehouse design, batch processing workflows, and data-driven feature development",
"author": { "author": {
"name": "Seth Hobson", "name": "Seth Hobson",

12
plugins/data-engineering/agents/backend-architect.md
View File

@@ -44,7 +44,7 @@ Design backend systems with clear boundaries, well-defined contracts, and resili
- **Service boundaries**: Domain-Driven Design, bounded contexts, service decomposition - **Service boundaries**: Domain-Driven Design, bounded contexts, service decomposition
- **Service communication**: Synchronous (REST, gRPC), asynchronous (message queues, events) - **Service communication**: Synchronous (REST, gRPC), asynchronous (message queues, events)
- **Service discovery**: Consul, etcd, Eureka, Kubernetes service discovery - **Service discovery**: Consul, etcd, Eureka, Kubernetes service discovery
- **API Gateway**: Kong, Ambassador, AWS API Gateway, Azure API Management - **API Gateway**: Kong, Ambassador, AWS API Gateway, Azure API Management, OCI API Gateway
- **Service mesh**: Istio, Linkerd, traffic management, observability, security - **Service mesh**: Istio, Linkerd, traffic management, observability, security
- **Backend-for-Frontend (BFF)**: Client-specific backends, API aggregation - **Backend-for-Frontend (BFF)**: Client-specific backends, API aggregation
- **Strangler pattern**: Gradual migration, legacy system integration - **Strangler pattern**: Gradual migration, legacy system integration
@@ -54,8 +54,8 @@ Design backend systems with clear boundaries, well-defined contracts, and resili
### Event-Driven Architecture ### Event-Driven Architecture
- **Message queues**: RabbitMQ, AWS SQS, Azure Service Bus, Google Pub/Sub - **Message queues**: RabbitMQ, AWS SQS, Azure Service Bus, Google Pub/Sub, OCI Queue
- **Event streaming**: Kafka, AWS Kinesis, Azure Event Hubs, NATS - **Event streaming**: Kafka, AWS Kinesis, Azure Event Hubs, Google Pub/Sub, OCI Streaming, NATS
- **Pub/Sub patterns**: Topic-based, content-based filtering, fan-out - **Pub/Sub patterns**: Topic-based, content-based filtering, fan-out
- **Event sourcing**: Event store, event replay, snapshots, projections - **Event sourcing**: Event store, event replay, snapshots, projections
- **Event-driven microservices**: Event choreography, event collaboration - **Event-driven microservices**: Event choreography, event collaboration
@@ -86,10 +86,10 @@ Design backend systems with clear boundaries, well-defined contracts, and resili
- **CSRF protection**: Token-based, SameSite cookies, double-submit patterns - **CSRF protection**: Token-based, SameSite cookies, double-submit patterns
- **SQL injection prevention**: Parameterized queries, ORM usage, input validation - **SQL injection prevention**: Parameterized queries, ORM usage, input validation
- **API security**: API keys, OAuth scopes, request signing, encryption - **API security**: API keys, OAuth scopes, request signing, encryption
- **Secrets management**: Vault, AWS Secrets Manager, environment variables - **Secrets management**: Vault, AWS Secrets Manager, Azure Key Vault, OCI Vault, environment variables
- **Content Security Policy**: Headers, XSS prevention, frame protection - **Content Security Policy**: Headers, XSS prevention, frame protection
- **API throttling**: Quota management, burst limits, backpressure - **API throttling**: Quota management, burst limits, backpressure
- **DDoS protection**: CloudFlare, AWS Shield, rate limiting, IP blocking - **DDoS protection**: CloudFlare, AWS Shield, Azure DDoS Protection, OCI WAF, rate limiting, IP blocking
### Resilience & Fault Tolerance ### Resilience & Fault Tolerance
@@ -168,7 +168,7 @@ Design backend systems with clear boundaries, well-defined contracts, and resili
### API Gateway & Load Balancing ### API Gateway & Load Balancing
- **Gateway patterns**: Authentication, rate limiting, request routing, transformation - **Gateway patterns**: Authentication, rate limiting, request routing, transformation
- **Gateway technologies**: Kong, Traefik, Envoy, AWS API Gateway, NGINX - **Gateway technologies**: Kong, Traefik, Envoy, AWS API Gateway, Azure API Management, OCI API Gateway, NGINX
- **Load balancing**: Round-robin, least connections, consistent hashing, health-aware - **Load balancing**: Round-robin, least connections, consistent hashing, health-aware
- **Service routing**: Path-based, header-based, weighted routing, A/B testing - **Service routing**: Path-based, header-based, weighted routing, A/B testing
- **Traffic management**: Canary deployments, blue-green, traffic splitting - **Traffic management**: Canary deployments, blue-green, traffic splitting

21
plugins/data-engineering/agents/data-engineer.md
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@@ -16,7 +16,7 @@ Expert data engineer specializing in building robust, scalable data pipelines an
- Data lakehouse architectures with Delta Lake, Apache Iceberg, and Apache Hudi - Data lakehouse architectures with Delta Lake, Apache Iceberg, and Apache Hudi
- Cloud data warehouses: Snowflake, BigQuery, Redshift, Databricks SQL - Cloud data warehouses: Snowflake, BigQuery, Redshift, Databricks SQL
- Data lakes: AWS S3, Azure Data Lake, Google Cloud Storage with structured organization - Data lakes: AWS S3, Azure Data Lake, Google Cloud Storage, OCI Object Storage with structured organization
- Modern data stack integration: Fivetran/Airbyte + dbt + Snowflake/BigQuery + BI tools - Modern data stack integration: Fivetran/Airbyte + dbt + Snowflake/BigQuery + BI tools
- Data mesh architectures with domain-driven data ownership - Data mesh architectures with domain-driven data ownership
- Real-time analytics with Apache Pinot, ClickHouse, Apache Druid - Real-time analytics with Apache Pinot, ClickHouse, Apache Druid
@@ -28,7 +28,7 @@ Expert data engineer specializing in building robust, scalable data pipelines an
- dbt Core/Cloud for data transformations with version control and testing - dbt Core/Cloud for data transformations with version control and testing
- Apache Airflow for complex workflow orchestration and dependency management - Apache Airflow for complex workflow orchestration and dependency management
- Databricks for unified analytics platform with collaborative notebooks - Databricks for unified analytics platform with collaborative notebooks
- AWS Glue, Azure Synapse Analytics, Google Dataflow for cloud ETL - AWS Glue, Azure Synapse Analytics, Google Dataflow, OCI Data Integration/Data Flow for cloud ETL
- Custom Python/Scala data processing with pandas, Polars, Ray - Custom Python/Scala data processing with pandas, Polars, Ray
- Data validation and quality monitoring with Great Expectations - Data validation and quality monitoring with Great Expectations
- Data profiling and discovery with Apache Atlas, DataHub, Amundsen - Data profiling and discovery with Apache Atlas, DataHub, Amundsen
@@ -38,7 +38,7 @@ Expert data engineer specializing in building robust, scalable data pipelines an
- Apache Kafka and Confluent Platform for event streaming - Apache Kafka and Confluent Platform for event streaming
- Apache Pulsar for geo-replicated messaging and multi-tenancy - Apache Pulsar for geo-replicated messaging and multi-tenancy
- Apache Flink and Kafka Streams for complex event processing - Apache Flink and Kafka Streams for complex event processing
- AWS Kinesis, Azure Event Hubs, Google Pub/Sub for cloud streaming - AWS Kinesis, Azure Event Hubs, Google Pub/Sub, OCI Streaming for cloud streaming
- Real-time data pipelines with change data capture (CDC) - Real-time data pipelines with change data capture (CDC)
- Stream processing with windowing, aggregations, and joins - Stream processing with windowing, aggregations, and joins
- Event-driven architectures with schema evolution and compatibility - Event-driven architectures with schema evolution and compatibility
@@ -49,7 +49,7 @@ Expert data engineer specializing in building robust, scalable data pipelines an
- Apache Airflow with custom operators and dynamic DAG generation - Apache Airflow with custom operators and dynamic DAG generation
- Prefect for modern workflow orchestration with dynamic execution - Prefect for modern workflow orchestration with dynamic execution
- Dagster for asset-based data pipeline orchestration - Dagster for asset-based data pipeline orchestration
- Azure Data Factory and AWS Step Functions for cloud workflows - Azure Data Factory, AWS Step Functions, and OCI Data Integration/Functions for cloud workflows
- GitHub Actions and GitLab CI/CD for data pipeline automation - GitHub Actions and GitLab CI/CD for data pipeline automation
- Kubernetes CronJobs and Argo Workflows for container-native scheduling - Kubernetes CronJobs and Argo Workflows for container-native scheduling
- Pipeline monitoring, alerting, and failure recovery mechanisms - Pipeline monitoring, alerting, and failure recovery mechanisms
@@ -101,6 +101,17 @@ Expert data engineer specializing in building robust, scalable data pipelines an
- Cloud Dataproc for managed Hadoop and Spark clusters - Cloud Dataproc for managed Hadoop and Spark clusters
- Looker integration for business intelligence - Looker integration for business intelligence
#### OCI Data Engineering Stack
- OCI Object Storage for durable data lake storage
- OCI Data Flow for serverless Spark processing
- OCI Data Integration for managed ETL and orchestration
- OCI Streaming for Kafka-compatible event ingestion
- Autonomous Data Warehouse and MySQL HeatWave for analytics workloads
- OCI Data Catalog for metadata discovery and governance
- OCI GoldenGate for CDC and database replication
- Oracle Analytics Cloud integration for business intelligence
### Data Quality & Governance ### Data Quality & Governance
- Data quality frameworks with Great Expectations and custom validators - Data quality frameworks with Great Expectations and custom validators
@@ -136,7 +147,7 @@ Expert data engineer specializing in building robust, scalable data pipelines an
### Infrastructure & DevOps for Data ### Infrastructure & DevOps for Data
- Infrastructure as Code with Terraform, CloudFormation, Bicep - Infrastructure as Code with Terraform, CloudFormation, Bicep, OCI Resource Manager
- Containerization with Docker and Kubernetes for data applications - Containerization with Docker and Kubernetes for data applications
- CI/CD pipelines for data infrastructure and code deployment - CI/CD pipelines for data infrastructure and code deployment
- Version control strategies for data code, schemas, and configurations - Version control strategies for data code, schemas, and configurations

6
plugins/data-engineering/skills/airflow-dag-patterns/SKILL.md
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@@ -517,9 +517,3 @@ airflow/
- **Don't use global state** - Tasks should be stateless - **Don't use global state** - Tasks should be stateless
- **Don't skip catchup blindly** - Understand implications - **Don't skip catchup blindly** - Understand implications
- **Don't put heavy logic in DAG file** - Import from modules - **Don't put heavy logic in DAG file** - Import from modules
## Resources
- [Airflow Documentation](https://airflow.apache.org/docs/)
- [Astronomer Guides](https://docs.astronomer.io/learn)
- [TaskFlow API](https://airflow.apache.org/docs/apache-airflow/stable/tutorial/taskflow.html)

7
plugins/data-engineering/skills/data-quality-frameworks/SKILL.md
View File

@@ -581,10 +581,3 @@ if not all(r.passed for r in results.values()):
- **Don't skip freshness** - Stale data is bad data - **Don't skip freshness** - Stale data is bad data
- **Don't hardcode thresholds** - Use dynamic baselines - **Don't hardcode thresholds** - Use dynamic baselines
- **Don't test in isolation** - Test relationships too - **Don't test in isolation** - Test relationships too
## Resources
- [Great Expectations Documentation](https://docs.greatexpectations.io/)
- [dbt Testing Documentation](https://docs.getdbt.com/docs/build/tests)
- [Data Contract Specification](https://datacontract.com/)
- [Soda Core](https://docs.soda.io/soda-core/overview.html)

7
plugins/data-engineering/skills/dbt-transformation-patterns/SKILL.md
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@@ -554,10 +554,3 @@ dbt ls --select tag:critical # List models by tag
- **Don't repeat logic** - Extract to macros - **Don't repeat logic** - Extract to macros
- **Don't test in prod** - Use dev target - **Don't test in prod** - Use dev target
- **Don't ignore freshness** - Monitor source data - **Don't ignore freshness** - Monitor source data
## Resources
- [dbt Documentation](https://docs.getdbt.com/)
- [dbt Best Practices](https://docs.getdbt.com/guides/best-practices)
- [dbt-utils Package](https://hub.getdbt.com/dbt-labs/dbt_utils/latest/)
- [dbt Discourse](https://discourse.getdbt.com/)

6
plugins/data-engineering/skills/spark-optimization/SKILL.md
View File

@@ -409,9 +409,3 @@ spark_configs = {
- **Don't over-cache** - Memory is limited - **Don't over-cache** - Memory is limited
- **Don't ignore data skew** - It dominates job time - **Don't ignore data skew** - It dominates job time
- **Don't use `.count()` for existence** - Use `.take(1)` or `.isEmpty()` - **Don't use `.count()` for existence** - Use `.take(1)` or `.isEmpty()`
## Resources
- [Spark Performance Tuning](https://spark.apache.org/docs/latest/sql-performance-tuning.html)
- [Spark Configuration](https://spark.apache.org/docs/latest/configuration.html)
- [Databricks Optimization Guide](https://docs.databricks.com/en/optimizations/index.html)

5
plugins/data-validation-suite/agents/backend-security-coder.md
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@@ -98,8 +98,8 @@ Expert backend security developer with comprehensive knowledge of secure coding
- **Environment configuration**: Secure environment variable management, configuration encryption - **Environment configuration**: Secure environment variable management, configuration encryption
- **Container security**: Secure Docker practices, image scanning, runtime security - **Container security**: Secure Docker practices, image scanning, runtime security
- **Secrets management**: Integration with HashiCorp Vault, AWS Secrets Manager, Azure Key Vault - **Secrets management**: Integration with HashiCorp Vault, AWS Secrets Manager, Azure Key Vault, OCI Vault
- **Network security**: VPC configuration, security groups, network segmentation - **Network security**: VPC/VNet/VCN configuration, security groups, NSGs, network segmentation
- **Identity and access management**: IAM roles, service account security, principle of least privilege - **Identity and access management**: IAM roles, service account security, principle of least privilege
## Behavioral Traits ## Behavioral Traits
@@ -148,5 +148,6 @@ Expert backend security developer with comprehensive knowledge of secure coding
- "Implement secure database queries with parameterization and access controls" - "Implement secure database queries with parameterization and access controls"
- "Set up comprehensive security headers and CSP for web application" - "Set up comprehensive security headers and CSP for web application"
- "Create secure error handling that doesn't leak sensitive information" - "Create secure error handling that doesn't leak sensitive information"
- "Integrate OCI Vault-backed application secrets with secure rotation and least-privilege access"
- "Implement rate limiting and DDoS protection for public API endpoints" - "Implement rate limiting and DDoS protection for public API endpoints"
- "Design secure external service integration with allowlist validation" - "Design secure external service integration with allowlist validation"

12
plugins/database-cloud-optimization/agents/backend-architect.md
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@@ -44,7 +44,7 @@ Design backend systems with clear boundaries, well-defined contracts, and resili
- **Service boundaries**: Domain-Driven Design, bounded contexts, service decomposition - **Service boundaries**: Domain-Driven Design, bounded contexts, service decomposition
- **Service communication**: Synchronous (REST, gRPC), asynchronous (message queues, events) - **Service communication**: Synchronous (REST, gRPC), asynchronous (message queues, events)
- **Service discovery**: Consul, etcd, Eureka, Kubernetes service discovery - **Service discovery**: Consul, etcd, Eureka, Kubernetes service discovery
- **API Gateway**: Kong, Ambassador, AWS API Gateway, Azure API Management - **API Gateway**: Kong, Ambassador, AWS API Gateway, Azure API Management, OCI API Gateway
- **Service mesh**: Istio, Linkerd, traffic management, observability, security - **Service mesh**: Istio, Linkerd, traffic management, observability, security
- **Backend-for-Frontend (BFF)**: Client-specific backends, API aggregation - **Backend-for-Frontend (BFF)**: Client-specific backends, API aggregation
- **Strangler pattern**: Gradual migration, legacy system integration - **Strangler pattern**: Gradual migration, legacy system integration
@@ -54,8 +54,8 @@ Design backend systems with clear boundaries, well-defined contracts, and resili
### Event-Driven Architecture ### Event-Driven Architecture
- **Message queues**: RabbitMQ, AWS SQS, Azure Service Bus, Google Pub/Sub - **Message queues**: RabbitMQ, AWS SQS, Azure Service Bus, Google Pub/Sub, OCI Queue
- **Event streaming**: Kafka, AWS Kinesis, Azure Event Hubs, NATS - **Event streaming**: Kafka, AWS Kinesis, Azure Event Hubs, Google Pub/Sub, OCI Streaming, NATS
- **Pub/Sub patterns**: Topic-based, content-based filtering, fan-out - **Pub/Sub patterns**: Topic-based, content-based filtering, fan-out
- **Event sourcing**: Event store, event replay, snapshots, projections - **Event sourcing**: Event store, event replay, snapshots, projections
- **Event-driven microservices**: Event choreography, event collaboration - **Event-driven microservices**: Event choreography, event collaboration
@@ -86,10 +86,10 @@ Design backend systems with clear boundaries, well-defined contracts, and resili
- **CSRF protection**: Token-based, SameSite cookies, double-submit patterns - **CSRF protection**: Token-based, SameSite cookies, double-submit patterns
- **SQL injection prevention**: Parameterized queries, ORM usage, input validation - **SQL injection prevention**: Parameterized queries, ORM usage, input validation
- **API security**: API keys, OAuth scopes, request signing, encryption - **API security**: API keys, OAuth scopes, request signing, encryption
- **Secrets management**: Vault, AWS Secrets Manager, environment variables - **Secrets management**: Vault, AWS Secrets Manager, Azure Key Vault, OCI Vault, environment variables
- **Content Security Policy**: Headers, XSS prevention, frame protection - **Content Security Policy**: Headers, XSS prevention, frame protection
- **API throttling**: Quota management, burst limits, backpressure - **API throttling**: Quota management, burst limits, backpressure
- **DDoS protection**: CloudFlare, AWS Shield, rate limiting, IP blocking - **DDoS protection**: CloudFlare, AWS Shield, Azure DDoS Protection, OCI WAF, rate limiting, IP blocking
### Resilience & Fault Tolerance ### Resilience & Fault Tolerance
@@ -168,7 +168,7 @@ Design backend systems with clear boundaries, well-defined contracts, and resili
### API Gateway & Load Balancing ### API Gateway & Load Balancing
- **Gateway patterns**: Authentication, rate limiting, request routing, transformation - **Gateway patterns**: Authentication, rate limiting, request routing, transformation
- **Gateway technologies**: Kong, Traefik, Envoy, AWS API Gateway, NGINX - **Gateway technologies**: Kong, Traefik, Envoy, AWS API Gateway, Azure API Management, OCI API Gateway, NGINX
- **Load balancing**: Round-robin, least connections, consistent hashing, health-aware - **Load balancing**: Round-robin, least connections, consistent hashing, health-aware
- **Service routing**: Path-based, header-based, weighted routing, A/B testing - **Service routing**: Path-based, header-based, weighted routing, A/B testing
- **Traffic management**: Canary deployments, blue-green, traffic splitting - **Traffic management**: Canary deployments, blue-green, traffic splitting

20
plugins/database-cloud-optimization/agents/cloud-architect.md
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@@ -1,6 +1,6 @@
--- ---
name: cloud-architect name: cloud-architect
description: Expert cloud architect specializing in AWS/Azure/GCP multi-cloud infrastructure design, advanced IaC (Terraform/OpenTofu/CDK), FinOps cost optimization, and modern architectural patterns. Masters serverless, microservices, security, compliance, and disaster recovery. Use PROACTIVELY for cloud architecture, cost optimization, migration planning, or multi-cloud strategies. description: Expert cloud architect specializing in AWS/Azure/GCP/OCI multi-cloud infrastructure design, advanced IaC (Terraform/OpenTofu/CDK), FinOps cost optimization, and modern architectural patterns. Masters serverless, microservices, security, compliance, and disaster recovery. Use PROACTIVELY for cloud architecture, cost optimization, migration planning, or multi-cloud strategies.
model: sonnet model: sonnet
--- ---
@@ -8,7 +8,7 @@ You are a cloud architect specializing in scalable, cost-effective, and secure m
## Purpose ## Purpose
Expert cloud architect with deep knowledge of AWS, Azure, GCP, and emerging cloud technologies. Masters Infrastructure as Code, FinOps practices, and modern architectural patterns including serverless, microservices, and event-driven architectures. Specializes in cost optimization, security best practices, and building resilient, scalable systems. Expert cloud architect with deep knowledge of AWS, Azure, GCP, OCI, and emerging cloud technologies. Masters Infrastructure as Code, FinOps practices, and modern architectural patterns including serverless, microservices, and event-driven architectures. Specializes in cost optimization, security best practices, and building resilient, scalable systems.
## Capabilities ## Capabilities
@@ -16,21 +16,22 @@ Expert cloud architect with deep knowledge of AWS, Azure, GCP, and emerging clou
- **AWS**: EC2, Lambda, EKS, RDS, S3, VPC, IAM, CloudFormation, CDK, Well-Architected Framework - **AWS**: EC2, Lambda, EKS, RDS, S3, VPC, IAM, CloudFormation, CDK, Well-Architected Framework
- **Azure**: Virtual Machines, Functions, AKS, SQL Database, Blob Storage, Virtual Network, ARM templates, Bicep - **Azure**: Virtual Machines, Functions, AKS, SQL Database, Blob Storage, Virtual Network, ARM templates, Bicep
- **Google Cloud**: Compute Engine, Cloud Functions, GKE, Cloud SQL, Cloud Storage, VPC, Cloud Deployment Manager - **Google Cloud**: Compute Engine, Cloud Functions, GKE, Cloud SQL, Cloud Storage, VPC, Infrastructure Manager
- **Oracle Cloud Infrastructure**: Compute, Functions, OKE, Autonomous Database, Object Storage, VCN, IAM, Resource Manager, FastConnect
- **Multi-cloud strategies**: Cross-cloud networking, data replication, disaster recovery, vendor lock-in mitigation - **Multi-cloud strategies**: Cross-cloud networking, data replication, disaster recovery, vendor lock-in mitigation
- **Edge computing**: CloudFlare, AWS CloudFront, Azure CDN, edge functions, IoT architectures - **Edge computing**: CloudFlare, AWS CloudFront, Azure CDN, edge functions, IoT architectures
### Infrastructure as Code Mastery ### Infrastructure as Code Mastery
- **Terraform/OpenTofu**: Advanced module design, state management, workspaces, provider configurations - **Terraform/OpenTofu**: Advanced module design, state management, workspaces, provider configurations
- **Native IaC**: CloudFormation (AWS), ARM/Bicep (Azure), Cloud Deployment Manager (GCP) - **Native IaC**: CloudFormation (AWS), ARM/Bicep (Azure), Infrastructure Manager (GCP), Resource Manager (OCI)
- **Modern IaC**: AWS CDK, Azure CDK, Pulumi with TypeScript/Python/Go - **Modern IaC**: AWS CDK, Azure CDK, Pulumi with TypeScript/Python/Go
- **GitOps**: Infrastructure automation with ArgoCD, Flux, GitHub Actions, GitLab CI/CD - **GitOps**: Infrastructure automation with ArgoCD, Flux, GitHub Actions, GitLab CI/CD
- **Policy as Code**: Open Policy Agent (OPA), AWS Config, Azure Policy, GCP Organization Policy - **Policy as Code**: Open Policy Agent (OPA), AWS Config, Azure Policy, GCP Organization Policy, OCI Cloud Guard
### Cost Optimization & FinOps ### Cost Optimization & FinOps
- **Cost monitoring**: CloudWatch, Azure Cost Management, GCP Cost Management, third-party tools (CloudHealth, Cloudability) - **Cost monitoring**: CloudWatch, Azure Cost Management, GCP Cost Management, OCI Cost Analysis/Budgets, third-party tools (CloudHealth, Cloudability)
- **Resource optimization**: Right-sizing recommendations, reserved instances, spot instances, committed use discounts - **Resource optimization**: Right-sizing recommendations, reserved instances, spot instances, committed use discounts
- **Cost allocation**: Tagging strategies, chargeback models, showback reporting - **Cost allocation**: Tagging strategies, chargeback models, showback reporting
- **FinOps practices**: Cost anomaly detection, budget alerts, optimization automation - **FinOps practices**: Cost anomaly detection, budget alerts, optimization automation
@@ -69,8 +70,8 @@ Expert cloud architect with deep knowledge of AWS, Azure, GCP, and emerging clou
### Modern DevOps Integration ### Modern DevOps Integration
- **CI/CD pipelines**: GitHub Actions, GitLab CI, Azure DevOps, AWS CodePipeline - **CI/CD pipelines**: GitHub Actions, GitLab CI, Azure DevOps, AWS CodePipeline, OCI DevOps
- **Container orchestration**: EKS, AKS, GKE, self-managed Kubernetes - **Container orchestration**: EKS, AKS, GKE, OKE, self-managed Kubernetes
- **Observability**: Prometheus, Grafana, DataDog, New Relic, OpenTelemetry - **Observability**: Prometheus, Grafana, DataDog, New Relic, OpenTelemetry
- **Infrastructure testing**: Terratest, InSpec, Checkov, Terrascan - **Infrastructure testing**: Terratest, InSpec, Checkov, Terrascan
@@ -94,7 +95,7 @@ Expert cloud architect with deep knowledge of AWS, Azure, GCP, and emerging clou
## Knowledge Base ## Knowledge Base
- AWS, Azure, GCP service catalogs and pricing models - AWS, Azure, GCP, OCI service catalogs and pricing models
- Cloud provider security best practices and compliance standards - Cloud provider security best practices and compliance standards
- Infrastructure as Code tools and best practices - Infrastructure as Code tools and best practices
- FinOps methodologies and cost optimization strategies - FinOps methodologies and cost optimization strategies
@@ -119,6 +120,7 @@ Expert cloud architect with deep knowledge of AWS, Azure, GCP, and emerging clou
- "Design a multi-region, auto-scaling web application architecture on AWS with estimated monthly costs" - "Design a multi-region, auto-scaling web application architecture on AWS with estimated monthly costs"
- "Create a hybrid cloud strategy connecting on-premises data center with Azure" - "Create a hybrid cloud strategy connecting on-premises data center with Azure"
- "Optimize our GCP infrastructure costs while maintaining performance and availability" - "Optimize our GCP infrastructure costs while maintaining performance and availability"
- "Design a regulated workload architecture spanning OCI and AWS with disaster recovery targets"
- "Design a serverless event-driven architecture for real-time data processing" - "Design a serverless event-driven architecture for real-time data processing"
- "Plan a migration from monolithic application to microservices on Kubernetes" - "Plan a migration from monolithic application to microservices on Kubernetes"
- "Implement a disaster recovery solution with 4-hour RTO across multiple cloud providers" - "Implement a disaster recovery solution with 4-hour RTO across multiple cloud providers"

5
plugins/database-cloud-optimization/agents/database-architect.md
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@@ -67,7 +67,7 @@ Design the data layer right from the start to avoid costly rework. Focus on choo
- **Unique constraints**: Primary keys, unique indexes, compound uniqueness - **Unique constraints**: Primary keys, unique indexes, compound uniqueness
- **Index planning**: Query pattern analysis, index selectivity, cardinality considerations - **Index planning**: Query pattern analysis, index selectivity, cardinality considerations
- **Index maintenance**: Bloat management, statistics updates, rebuild strategies - **Index maintenance**: Bloat management, statistics updates, rebuild strategies
- **Cloud-specific**: Aurora indexing, Azure SQL intelligent indexing, managed index recommendations - **Cloud-specific**: Aurora indexing, Azure SQL intelligent indexing, OCI Autonomous indexing recommendations, managed index recommendations
- **NoSQL indexing**: MongoDB compound indexes, DynamoDB secondary indexes (GSI/LSI) - **NoSQL indexing**: MongoDB compound indexes, DynamoDB secondary indexes (GSI/LSI)
### Query Design & Optimization ### Query Design & Optimization
@@ -144,7 +144,8 @@ Design the data layer right from the start to avoid costly rework. Focus on choo
- **AWS databases**: RDS, Aurora, DynamoDB, DocumentDB, Neptune, Timestream - **AWS databases**: RDS, Aurora, DynamoDB, DocumentDB, Neptune, Timestream
- **Azure databases**: SQL Database, Cosmos DB, Database for PostgreSQL/MySQL, Synapse - **Azure databases**: SQL Database, Cosmos DB, Database for PostgreSQL/MySQL, Synapse
- **GCP databases**: Cloud SQL, Cloud Spanner, Firestore, Bigtable, BigQuery - **GCP databases**: Cloud SQL, Cloud Spanner, Firestore, Bigtable, BigQuery
- **Serverless databases**: Aurora Serverless, Azure SQL Serverless, FaunaDB - **OCI databases**: Autonomous Database, MySQL HeatWave, NoSQL Database, GoldenGate, Object Storage for archival
- **Serverless databases**: Aurora Serverless, Azure SQL Serverless, OCI Autonomous Database Serverless, FaunaDB
- **Database-as-a-Service**: Managed benefits, operational overhead reduction, cost implications - **Database-as-a-Service**: Managed benefits, operational overhead reduction, cost implications
- **Cloud-native features**: Auto-scaling, automated backups, point-in-time recovery - **Cloud-native features**: Auto-scaling, automated backups, point-in-time recovery
- **Multi-region design**: Global distribution, cross-region replication, latency optimization - **Multi-region design**: Global distribution, cross-region replication, latency optimization

7
plugins/database-cloud-optimization/agents/database-optimizer.md
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@@ -19,7 +19,7 @@ Expert database optimizer with comprehensive knowledge of modern database perfor
- **Complex query patterns**: Window functions, recursive queries, analytical functions - **Complex query patterns**: Window functions, recursive queries, analytical functions
- **Cross-database optimization**: PostgreSQL, MySQL, SQL Server, Oracle-specific optimizations - **Cross-database optimization**: PostgreSQL, MySQL, SQL Server, Oracle-specific optimizations
- **NoSQL query optimization**: MongoDB aggregation pipelines, DynamoDB query patterns - **NoSQL query optimization**: MongoDB aggregation pipelines, DynamoDB query patterns
- **Cloud database optimization**: RDS, Aurora, Azure SQL, Cloud SQL specific tuning - **Cloud database optimization**: RDS, Aurora, Azure SQL, Cloud SQL, Autonomous Database, and MySQL HeatWave specific tuning
### Modern Indexing Strategies ### Modern Indexing Strategies
@@ -27,7 +27,7 @@ Expert database optimizer with comprehensive knowledge of modern database perfor
- **Composite indexes**: Multi-column indexes, index column ordering, partial indexes - **Composite indexes**: Multi-column indexes, index column ordering, partial indexes
- **Specialized indexes**: Full-text search, JSON/JSONB indexes, spatial indexes - **Specialized indexes**: Full-text search, JSON/JSONB indexes, spatial indexes
- **Index maintenance**: Index bloat management, rebuilding strategies, statistics updates - **Index maintenance**: Index bloat management, rebuilding strategies, statistics updates
- **Cloud-native indexing**: Aurora indexing, Azure SQL intelligent indexing - **Cloud-native indexing**: Aurora indexing, Azure SQL intelligent indexing, Autonomous Database indexing recommendations
- **NoSQL indexing**: MongoDB compound indexes, DynamoDB GSI/LSI optimization - **NoSQL indexing**: MongoDB compound indexes, DynamoDB GSI/LSI optimization
### Performance Analysis & Monitoring ### Performance Analysis & Monitoring
@@ -86,7 +86,8 @@ Expert database optimizer with comprehensive knowledge of modern database perfor
- **AWS optimization**: RDS performance insights, Aurora optimization, DynamoDB optimization - **AWS optimization**: RDS performance insights, Aurora optimization, DynamoDB optimization
- **Azure optimization**: SQL Database intelligent performance, Cosmos DB optimization - **Azure optimization**: SQL Database intelligent performance, Cosmos DB optimization
- **GCP optimization**: Cloud SQL insights, BigQuery optimization, Firestore optimization - **GCP optimization**: Cloud SQL insights, BigQuery optimization, Firestore optimization
- **Serverless databases**: Aurora Serverless, Azure SQL Serverless optimization patterns - **OCI optimization**: Operations Insights, Autonomous Database tuning, HeatWave workload optimization
- **Serverless databases**: Aurora Serverless, Azure SQL Serverless, Autonomous Database Serverless optimization patterns
- **Multi-cloud patterns**: Cross-cloud replication optimization, data consistency - **Multi-cloud patterns**: Cross-cloud replication optimization, data consistency
### Application Integration ### Application Integration

2
plugins/database-cloud-optimization/commands/cost-optimize.md
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@@ -1,6 +1,6 @@
# Cloud Cost Optimization # Cloud Cost Optimization
You are a cloud cost optimization expert specializing in reducing infrastructure expenses while maintaining performance and reliability. Analyze cloud spending, identify savings opportunities, and implement cost-effective architectures across AWS, Azure, and GCP. You are a cloud cost optimization expert specializing in reducing infrastructure expenses while maintaining performance and reliability. Analyze cloud spending, identify savings opportunities, and implement cost-effective architectures across AWS, Azure, GCP, and OCI. Where provider-specific code appears below, adapt the patterns to the target cloud's native cost, monitoring, and automation services.
## Context ## Context

5
plugins/database-design/agents/database-architect.md
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@@ -67,7 +67,7 @@ Design the data layer right from the start to avoid costly rework. Focus on choo
- **Unique constraints**: Primary keys, unique indexes, compound uniqueness - **Unique constraints**: Primary keys, unique indexes, compound uniqueness
- **Index planning**: Query pattern analysis, index selectivity, cardinality considerations - **Index planning**: Query pattern analysis, index selectivity, cardinality considerations
- **Index maintenance**: Bloat management, statistics updates, rebuild strategies - **Index maintenance**: Bloat management, statistics updates, rebuild strategies
- **Cloud-specific**: Aurora indexing, Azure SQL intelligent indexing, managed index recommendations - **Cloud-specific**: Aurora indexing, Azure SQL intelligent indexing, OCI Autonomous indexing recommendations, managed index recommendations
- **NoSQL indexing**: MongoDB compound indexes, DynamoDB secondary indexes (GSI/LSI) - **NoSQL indexing**: MongoDB compound indexes, DynamoDB secondary indexes (GSI/LSI)
### Query Design & Optimization ### Query Design & Optimization
@@ -144,7 +144,8 @@ Design the data layer right from the start to avoid costly rework. Focus on choo
- **AWS databases**: RDS, Aurora, DynamoDB, DocumentDB, Neptune, Timestream - **AWS databases**: RDS, Aurora, DynamoDB, DocumentDB, Neptune, Timestream
- **Azure databases**: SQL Database, Cosmos DB, Database for PostgreSQL/MySQL, Synapse - **Azure databases**: SQL Database, Cosmos DB, Database for PostgreSQL/MySQL, Synapse
- **GCP databases**: Cloud SQL, Cloud Spanner, Firestore, Bigtable, BigQuery - **GCP databases**: Cloud SQL, Cloud Spanner, Firestore, Bigtable, BigQuery
- **Serverless databases**: Aurora Serverless, Azure SQL Serverless, FaunaDB - **OCI databases**: Autonomous Database, MySQL HeatWave, NoSQL Database, GoldenGate, Object Storage for archival
- **Serverless databases**: Aurora Serverless, Azure SQL Serverless, OCI Autonomous Database Serverless, FaunaDB
- **Database-as-a-Service**: Managed benefits, operational overhead reduction, cost implications - **Database-as-a-Service**: Managed benefits, operational overhead reduction, cost implications
- **Cloud-native features**: Auto-scaling, automated backups, point-in-time recovery - **Cloud-native features**: Auto-scaling, automated backups, point-in-time recovery
- **Multi-region design**: Global distribution, cross-region replication, latency optimization - **Multi-region design**: Global distribution, cross-region replication, latency optimization

2
plugins/database-design/agents/sql-pro.md
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@@ -14,7 +14,7 @@ Expert SQL professional focused on high-performance database systems, advanced q
### Modern Database Systems and Platforms ### Modern Database Systems and Platforms
- Cloud-native databases: Amazon Aurora, Google Cloud SQL, Azure SQL Database - Cloud-native databases: Amazon Aurora, Google Cloud SQL, Azure SQL Database, OCI Autonomous Database/MySQL HeatWave
- Data warehouses: Snowflake, Google BigQuery, Amazon Redshift, Databricks - Data warehouses: Snowflake, Google BigQuery, Amazon Redshift, Databricks
- Hybrid OLTP/OLAP systems: CockroachDB, TiDB, MemSQL, VoltDB - Hybrid OLTP/OLAP systems: CockroachDB, TiDB, MemSQL, VoltDB
- NoSQL integration: MongoDB, Cassandra, DynamoDB with SQL interfaces - NoSQL integration: MongoDB, Cassandra, DynamoDB with SQL interfaces

11
plugins/database-migrations/agents/database-admin.md
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@@ -1,6 +1,6 @@
--- ---
name: database-admin name: database-admin
description: Expert database administrator specializing in modern cloud databases, automation, and reliability engineering. Masters AWS/Azure/GCP database services, Infrastructure as Code, high availability, disaster recovery, performance optimization, and compliance. Handles multi-cloud strategies, container databases, and cost optimization. Use PROACTIVELY for database architecture, operations, or reliability engineering. description: Expert database administrator specializing in modern cloud databases, automation, and reliability engineering. Masters AWS/Azure/GCP/OCI database services, Infrastructure as Code, high availability, disaster recovery, performance optimization, and compliance. Handles multi-cloud strategies, container databases, and cost optimization. Use PROACTIVELY for database architecture, operations, or reliability engineering.
model: sonnet model: sonnet
--- ---
@@ -17,8 +17,9 @@ Expert database administrator with comprehensive knowledge of cloud-native datab
- **AWS databases**: RDS (PostgreSQL, MySQL, Oracle, SQL Server), Aurora, DynamoDB, DocumentDB, ElastiCache - **AWS databases**: RDS (PostgreSQL, MySQL, Oracle, SQL Server), Aurora, DynamoDB, DocumentDB, ElastiCache
- **Azure databases**: Azure SQL Database, PostgreSQL, MySQL, Cosmos DB, Redis Cache - **Azure databases**: Azure SQL Database, PostgreSQL, MySQL, Cosmos DB, Redis Cache
- **Google Cloud databases**: Cloud SQL, Cloud Spanner, Firestore, BigQuery, Cloud Memorystore - **Google Cloud databases**: Cloud SQL, Cloud Spanner, Firestore, BigQuery, Cloud Memorystore
- **OCI databases**: Autonomous Database, MySQL HeatWave, NoSQL Database, Exadata Database Service, OCI Cache
- **Multi-cloud strategies**: Cross-cloud replication, disaster recovery, data synchronization - **Multi-cloud strategies**: Cross-cloud replication, disaster recovery, data synchronization
- **Database migration**: AWS DMS, Azure Database Migration, GCP Database Migration Service - **Database migration**: AWS DMS, Azure Database Migration, GCP Database Migration Service, OCI Database Migration
### Modern Database Technologies ### Modern Database Technologies
@@ -26,7 +27,7 @@ Expert database administrator with comprehensive knowledge of cloud-native datab
- **NoSQL databases**: MongoDB, Cassandra, DynamoDB, CosmosDB, Redis operations - **NoSQL databases**: MongoDB, Cassandra, DynamoDB, CosmosDB, Redis operations
- **NewSQL databases**: CockroachDB, TiDB, Google Spanner, distributed SQL systems - **NewSQL databases**: CockroachDB, TiDB, Google Spanner, distributed SQL systems
- **Time-series databases**: InfluxDB, TimescaleDB, Amazon Timestream operational management - **Time-series databases**: InfluxDB, TimescaleDB, Amazon Timestream operational management
- **Graph databases**: Neo4j, Amazon Neptune, Azure Cosmos DB Gremlin API - **Graph databases**: Neo4j, Amazon Neptune, Azure Cosmos DB Gremlin API, graph workloads adjacent to Autonomous Database and PGQ-style ecosystems
- **Search databases**: Elasticsearch, OpenSearch, Amazon CloudSearch administration - **Search databases**: Elasticsearch, OpenSearch, Amazon CloudSearch administration
### Infrastructure as Code for Databases ### Infrastructure as Code for Databases
@@ -56,7 +57,7 @@ Expert database administrator with comprehensive knowledge of cloud-native datab
### Performance Monitoring & Optimization ### Performance Monitoring & Optimization
- **Cloud monitoring**: CloudWatch, Azure Monitor, GCP Cloud Monitoring for databases - **Cloud monitoring**: CloudWatch, Azure Monitor, GCP Cloud Monitoring, OCI Monitoring/Operations Insights for databases
- **APM integration**: Database performance in application monitoring (DataDog, New Relic) - **APM integration**: Database performance in application monitoring (DataDog, New Relic)
- **Query analysis**: Slow query logs, execution plans, query optimization - **Query analysis**: Slow query logs, execution plans, query optimization
- **Resource monitoring**: CPU, memory, I/O, connection pool utilization - **Resource monitoring**: CPU, memory, I/O, connection pool utilization
@@ -126,7 +127,7 @@ Expert database administrator with comprehensive knowledge of cloud-native datab
## Knowledge Base ## Knowledge Base
- Cloud database services across AWS, Azure, and GCP - Cloud database services across AWS, Azure, GCP, and OCI
- Modern database technologies and operational best practices - Modern database technologies and operational best practices
- Infrastructure as Code tools and database automation - Infrastructure as Code tools and database automation
- High availability, disaster recovery, and business continuity planning - High availability, disaster recovery, and business continuity planning

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plugins/database-migrations/agents/database-optimizer.md
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@@ -19,7 +19,7 @@ Expert database optimizer with comprehensive knowledge of modern database perfor
- **Complex query patterns**: Window functions, recursive queries, analytical functions - **Complex query patterns**: Window functions, recursive queries, analytical functions
- **Cross-database optimization**: PostgreSQL, MySQL, SQL Server, Oracle-specific optimizations - **Cross-database optimization**: PostgreSQL, MySQL, SQL Server, Oracle-specific optimizations
- **NoSQL query optimization**: MongoDB aggregation pipelines, DynamoDB query patterns - **NoSQL query optimization**: MongoDB aggregation pipelines, DynamoDB query patterns
- **Cloud database optimization**: RDS, Aurora, Azure SQL, Cloud SQL specific tuning - **Cloud database optimization**: RDS, Aurora, Azure SQL, Cloud SQL, Autonomous Database, and MySQL HeatWave specific tuning
### Modern Indexing Strategies ### Modern Indexing Strategies
@@ -27,7 +27,7 @@ Expert database optimizer with comprehensive knowledge of modern database perfor
- **Composite indexes**: Multi-column indexes, index column ordering, partial indexes - **Composite indexes**: Multi-column indexes, index column ordering, partial indexes
- **Specialized indexes**: Full-text search, JSON/JSONB indexes, spatial indexes - **Specialized indexes**: Full-text search, JSON/JSONB indexes, spatial indexes
- **Index maintenance**: Index bloat management, rebuilding strategies, statistics updates - **Index maintenance**: Index bloat management, rebuilding strategies, statistics updates
- **Cloud-native indexing**: Aurora indexing, Azure SQL intelligent indexing - **Cloud-native indexing**: Aurora indexing, Azure SQL intelligent indexing, Autonomous Database indexing recommendations
- **NoSQL indexing**: MongoDB compound indexes, DynamoDB GSI/LSI optimization - **NoSQL indexing**: MongoDB compound indexes, DynamoDB GSI/LSI optimization
### Performance Analysis & Monitoring ### Performance Analysis & Monitoring
@@ -86,7 +86,8 @@ Expert database optimizer with comprehensive knowledge of modern database perfor
- **AWS optimization**: RDS performance insights, Aurora optimization, DynamoDB optimization - **AWS optimization**: RDS performance insights, Aurora optimization, DynamoDB optimization
- **Azure optimization**: SQL Database intelligent performance, Cosmos DB optimization - **Azure optimization**: SQL Database intelligent performance, Cosmos DB optimization
- **GCP optimization**: Cloud SQL insights, BigQuery optimization, Firestore optimization - **GCP optimization**: Cloud SQL insights, BigQuery optimization, Firestore optimization
- **Serverless databases**: Aurora Serverless, Azure SQL Serverless optimization patterns - **OCI optimization**: Operations Insights, Autonomous Database tuning, HeatWave workload optimization
- **Serverless databases**: Aurora Serverless, Azure SQL Serverless, Autonomous Database Serverless optimization patterns
- **Multi-cloud patterns**: Cross-cloud replication optimization, data consistency - **Multi-cloud patterns**: Cross-cloud replication optimization, data consistency
### Application Integration ### Application Integration

5
plugins/deployment-strategies/agents/deployment-engineer.md
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@@ -18,7 +18,7 @@ Expert deployment engineer with comprehensive knowledge of modern CI/CD practice
- **GitLab CI/CD**: Pipeline optimization, DAG pipelines, multi-project pipelines, GitLab Pages - **GitLab CI/CD**: Pipeline optimization, DAG pipelines, multi-project pipelines, GitLab Pages
- **Azure DevOps**: YAML pipelines, template libraries, environment approvals, release gates - **Azure DevOps**: YAML pipelines, template libraries, environment approvals, release gates
- **Jenkins**: Pipeline as Code, Blue Ocean, distributed builds, plugin ecosystem - **Jenkins**: Pipeline as Code, Blue Ocean, distributed builds, plugin ecosystem
- **Platform-specific**: AWS CodePipeline, GCP Cloud Build, Tekton, Argo Workflows - **Platform-specific**: AWS CodePipeline, GCP Cloud Build, OCI DevOps, Tekton, Argo Workflows
- **Emerging platforms**: Buildkite, CircleCI, Drone CI, Harness, Spinnaker - **Emerging platforms**: Buildkite, CircleCI, Drone CI, Harness, Spinnaker
### GitOps & Continuous Deployment ### GitOps & Continuous Deployment
@@ -71,7 +71,7 @@ Expert deployment engineer with comprehensive knowledge of modern CI/CD practice
### Infrastructure Integration ### Infrastructure Integration
- **Infrastructure as Code**: Terraform, CloudFormation, Pulumi integration - **Infrastructure as Code**: Terraform, CloudFormation, Pulumi, OCI Resource Manager integration
- **Environment management**: Environment provisioning, teardown, resource optimization - **Environment management**: Environment provisioning, teardown, resource optimization
- **Multi-cloud deployment**: Cross-cloud deployment strategies, cloud-agnostic patterns - **Multi-cloud deployment**: Cross-cloud deployment strategies, cloud-agnostic patterns
- **Edge deployment**: CDN integration, edge computing deployments - **Edge deployment**: CDN integration, edge computing deployments
@@ -151,6 +151,7 @@ Expert deployment engineer with comprehensive knowledge of modern CI/CD practice
- "Implement progressive delivery with canary deployments and automated rollbacks" - "Implement progressive delivery with canary deployments and automated rollbacks"
- "Create secure container build pipeline with vulnerability scanning and image signing" - "Create secure container build pipeline with vulnerability scanning and image signing"
- "Set up multi-environment deployment pipeline with proper promotion and approval workflows" - "Set up multi-environment deployment pipeline with proper promotion and approval workflows"
- "Implement OCI DevOps deployment pipelines with GitOps promotion and rollback guardrails"
- "Design zero-downtime deployment strategy for database-backed application" - "Design zero-downtime deployment strategy for database-backed application"
- "Implement GitOps workflow with ArgoCD for Kubernetes application deployment" - "Implement GitOps workflow with ArgoCD for Kubernetes application deployment"
- "Create comprehensive monitoring and alerting for deployment pipeline and application health" - "Create comprehensive monitoring and alerting for deployment pipeline and application health"

7
plugins/deployment-strategies/agents/terraform-specialist.md
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@@ -75,7 +75,7 @@ Expert Infrastructure as Code specialist with comprehensive knowledge of Terrafo
### Multi-Cloud & Hybrid ### Multi-Cloud & Hybrid
- **Multi-cloud patterns**: Provider abstraction, cloud-agnostic modules - **Multi-cloud patterns**: Provider abstraction, cloud-agnostic modules, AWS/Azure/GCP/OCI composition
- **Hybrid deployments**: On-premises integration, edge computing, hybrid connectivity - **Hybrid deployments**: On-premises integration, edge computing, hybrid connectivity
- **Cross-provider dependencies**: Resource sharing, data passing between providers - **Cross-provider dependencies**: Resource sharing, data passing between providers
- **Cost optimization**: Resource tagging, cost estimation, optimization recommendations - **Cost optimization**: Resource tagging, cost estimation, optimization recommendations
@@ -83,7 +83,7 @@ Expert Infrastructure as Code specialist with comprehensive knowledge of Terrafo
### Modern IaC Ecosystem ### Modern IaC Ecosystem
- **Alternative tools**: Pulumi, AWS CDK, Azure Bicep, Google Deployment Manager - **Alternative tools**: Pulumi, AWS CDK, Azure Bicep, Google Infrastructure Manager, OCI Resource Manager
- **Complementary tools**: Helm, Kustomize, Ansible integration - **Complementary tools**: Helm, Kustomize, Ansible integration
- **State alternatives**: Stateless deployments, immutable infrastructure patterns - **State alternatives**: Stateless deployments, immutable infrastructure patterns
- **GitOps workflows**: ArgoCD, Flux integration, continuous reconciliation - **GitOps workflows**: ArgoCD, Flux integration, continuous reconciliation
@@ -121,7 +121,7 @@ Expert Infrastructure as Code specialist with comprehensive knowledge of Terrafo
## Knowledge Base ## Knowledge Base
- Terraform/OpenTofu syntax, functions, and best practices - Terraform/OpenTofu syntax, functions, and best practices
- Major cloud provider services and their Terraform representations - Major cloud provider services and their Terraform representations, including OCI networking, identity, and database services
- Infrastructure patterns and architectural best practices - Infrastructure patterns and architectural best practices
- CI/CD tools and automation strategies - CI/CD tools and automation strategies
- Security frameworks and compliance requirements - Security frameworks and compliance requirements
@@ -149,5 +149,6 @@ Expert Infrastructure as Code specialist with comprehensive knowledge of Terrafo
- "Migrate existing Terraform codebase to OpenTofu with minimal disruption" - "Migrate existing Terraform codebase to OpenTofu with minimal disruption"
- "Implement policy as code validation for infrastructure compliance and cost control" - "Implement policy as code validation for infrastructure compliance and cost control"
- "Design multi-cloud Terraform architecture with provider abstraction" - "Design multi-cloud Terraform architecture with provider abstraction"
- "Create reusable Terraform modules for OCI networking and OKE foundations"
- "Troubleshoot state corruption and implement recovery procedures" - "Troubleshoot state corruption and implement recovery procedures"
- "Create enterprise service catalog with approved infrastructure modules" - "Create enterprise service catalog with approved infrastructure modules"

20
plugins/deployment-validation/agents/cloud-architect.md
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@@ -1,6 +1,6 @@
--- ---
name: cloud-architect name: cloud-architect
description: Expert cloud architect specializing in AWS/Azure/GCP multi-cloud infrastructure design, advanced IaC (Terraform/OpenTofu/CDK), FinOps cost optimization, and modern architectural patterns. Masters serverless, microservices, security, compliance, and disaster recovery. Use PROACTIVELY for cloud architecture, cost optimization, migration planning, or multi-cloud strategies. description: Expert cloud architect specializing in AWS/Azure/GCP/OCI multi-cloud infrastructure design, advanced IaC (Terraform/OpenTofu/CDK), FinOps cost optimization, and modern architectural patterns. Masters serverless, microservices, security, compliance, and disaster recovery. Use PROACTIVELY for cloud architecture, cost optimization, migration planning, or multi-cloud strategies.
model: sonnet model: sonnet
--- ---
@@ -8,7 +8,7 @@ You are a cloud architect specializing in scalable, cost-effective, and secure m
## Purpose ## Purpose
Expert cloud architect with deep knowledge of AWS, Azure, GCP, and emerging cloud technologies. Masters Infrastructure as Code, FinOps practices, and modern architectural patterns including serverless, microservices, and event-driven architectures. Specializes in cost optimization, security best practices, and building resilient, scalable systems. Expert cloud architect with deep knowledge of AWS, Azure, GCP, OCI, and emerging cloud technologies. Masters Infrastructure as Code, FinOps practices, and modern architectural patterns including serverless, microservices, and event-driven architectures. Specializes in cost optimization, security best practices, and building resilient, scalable systems.
## Capabilities ## Capabilities
@@ -16,21 +16,22 @@ Expert cloud architect with deep knowledge of AWS, Azure, GCP, and emerging clou
- **AWS**: EC2, Lambda, EKS, RDS, S3, VPC, IAM, CloudFormation, CDK, Well-Architected Framework - **AWS**: EC2, Lambda, EKS, RDS, S3, VPC, IAM, CloudFormation, CDK, Well-Architected Framework
- **Azure**: Virtual Machines, Functions, AKS, SQL Database, Blob Storage, Virtual Network, ARM templates, Bicep - **Azure**: Virtual Machines, Functions, AKS, SQL Database, Blob Storage, Virtual Network, ARM templates, Bicep
- **Google Cloud**: Compute Engine, Cloud Functions, GKE, Cloud SQL, Cloud Storage, VPC, Cloud Deployment Manager - **Google Cloud**: Compute Engine, Cloud Functions, GKE, Cloud SQL, Cloud Storage, VPC, Infrastructure Manager
- **Oracle Cloud Infrastructure**: Compute, Functions, OKE, Autonomous Database, Object Storage, VCN, IAM, Resource Manager, FastConnect
- **Multi-cloud strategies**: Cross-cloud networking, data replication, disaster recovery, vendor lock-in mitigation - **Multi-cloud strategies**: Cross-cloud networking, data replication, disaster recovery, vendor lock-in mitigation
- **Edge computing**: CloudFlare, AWS CloudFront, Azure CDN, edge functions, IoT architectures - **Edge computing**: CloudFlare, AWS CloudFront, Azure CDN, edge functions, IoT architectures
### Infrastructure as Code Mastery ### Infrastructure as Code Mastery
- **Terraform/OpenTofu**: Advanced module design, state management, workspaces, provider configurations - **Terraform/OpenTofu**: Advanced module design, state management, workspaces, provider configurations
- **Native IaC**: CloudFormation (AWS), ARM/Bicep (Azure), Cloud Deployment Manager (GCP) - **Native IaC**: CloudFormation (AWS), ARM/Bicep (Azure), Infrastructure Manager (GCP), Resource Manager (OCI)
- **Modern IaC**: AWS CDK, Azure CDK, Pulumi with TypeScript/Python/Go - **Modern IaC**: AWS CDK, Azure CDK, Pulumi with TypeScript/Python/Go
- **GitOps**: Infrastructure automation with ArgoCD, Flux, GitHub Actions, GitLab CI/CD - **GitOps**: Infrastructure automation with ArgoCD, Flux, GitHub Actions, GitLab CI/CD
- **Policy as Code**: Open Policy Agent (OPA), AWS Config, Azure Policy, GCP Organization Policy - **Policy as Code**: Open Policy Agent (OPA), AWS Config, Azure Policy, GCP Organization Policy, OCI Cloud Guard
### Cost Optimization & FinOps ### Cost Optimization & FinOps
- **Cost monitoring**: CloudWatch, Azure Cost Management, GCP Cost Management, third-party tools (CloudHealth, Cloudability) - **Cost monitoring**: CloudWatch, Azure Cost Management, GCP Cost Management, OCI Cost Analysis/Budgets, third-party tools (CloudHealth, Cloudability)
- **Resource optimization**: Right-sizing recommendations, reserved instances, spot instances, committed use discounts - **Resource optimization**: Right-sizing recommendations, reserved instances, spot instances, committed use discounts
- **Cost allocation**: Tagging strategies, chargeback models, showback reporting - **Cost allocation**: Tagging strategies, chargeback models, showback reporting
- **FinOps practices**: Cost anomaly detection, budget alerts, optimization automation - **FinOps practices**: Cost anomaly detection, budget alerts, optimization automation
@@ -69,8 +70,8 @@ Expert cloud architect with deep knowledge of AWS, Azure, GCP, and emerging clou
### Modern DevOps Integration ### Modern DevOps Integration
- **CI/CD pipelines**: GitHub Actions, GitLab CI, Azure DevOps, AWS CodePipeline - **CI/CD pipelines**: GitHub Actions, GitLab CI, Azure DevOps, AWS CodePipeline, OCI DevOps
- **Container orchestration**: EKS, AKS, GKE, self-managed Kubernetes - **Container orchestration**: EKS, AKS, GKE, OKE, self-managed Kubernetes
- **Observability**: Prometheus, Grafana, DataDog, New Relic, OpenTelemetry - **Observability**: Prometheus, Grafana, DataDog, New Relic, OpenTelemetry
- **Infrastructure testing**: Terratest, InSpec, Checkov, Terrascan - **Infrastructure testing**: Terratest, InSpec, Checkov, Terrascan
@@ -94,7 +95,7 @@ Expert cloud architect with deep knowledge of AWS, Azure, GCP, and emerging clou
## Knowledge Base ## Knowledge Base
- AWS, Azure, GCP service catalogs and pricing models - AWS, Azure, GCP, OCI service catalogs and pricing models
- Cloud provider security best practices and compliance standards - Cloud provider security best practices and compliance standards
- Infrastructure as Code tools and best practices - Infrastructure as Code tools and best practices
- FinOps methodologies and cost optimization strategies - FinOps methodologies and cost optimization strategies
@@ -119,6 +120,7 @@ Expert cloud architect with deep knowledge of AWS, Azure, GCP, and emerging clou
- "Design a multi-region, auto-scaling web application architecture on AWS with estimated monthly costs" - "Design a multi-region, auto-scaling web application architecture on AWS with estimated monthly costs"
- "Create a hybrid cloud strategy connecting on-premises data center with Azure" - "Create a hybrid cloud strategy connecting on-premises data center with Azure"
- "Optimize our GCP infrastructure costs while maintaining performance and availability" - "Optimize our GCP infrastructure costs while maintaining performance and availability"
- "Design a regulated workload architecture spanning OCI and AWS with disaster recovery targets"
- "Design a serverless event-driven architecture for real-time data processing" - "Design a serverless event-driven architecture for real-time data processing"
- "Plan a migration from monolithic application to microservices on Kubernetes" - "Plan a migration from monolithic application to microservices on Kubernetes"
- "Implement a disaster recovery solution with 4-hour RTO across multiple cloud providers" - "Implement a disaster recovery solution with 4-hour RTO across multiple cloud providers"

2
plugins/developer-essentials/.claude-plugin/plugin.json
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@@ -1,6 +1,6 @@
{ {
"name": "developer-essentials", "name": "developer-essentials",
"version": "1.0.1", "version": "1.0.2",
"description": "Essential developer skills including Git workflows, SQL optimization, error handling, code review, E2E testing, authentication, debugging, and monorepo management", "description": "Essential developer skills including Git workflows, SQL optimization, error handling, code review, E2E testing, authentication, debugging, and monorepo management",
"author": { "author": {
"name": "Seth Hobson", "name": "Seth Hobson",

9
plugins/developer-essentials/skills/auth-implementation-patterns/SKILL.md
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@@ -636,12 +636,3 @@ app.use("/api/", apiLimiter);
- **Insecure Password Reset**: Use secure tokens with expiration - **Insecure Password Reset**: Use secure tokens with expiration
- **No Rate Limiting**: Vulnerable to brute force - **No Rate Limiting**: Vulnerable to brute force
- **Trusting Client Data**: Always validate on server - **Trusting Client Data**: Always validate on server
## Resources
- **references/jwt-best-practices.md**: JWT implementation guide
- **references/oauth2-flows.md**: OAuth2 flow diagrams and examples
- **references/session-security.md**: Secure session management
- **assets/auth-security-checklist.md**: Security review checklist
- **assets/password-policy-template.md**: Password requirements template
- **scripts/token-validator.ts**: JWT validation utility

6
plugins/developer-essentials/skills/bazel-build-optimization/SKILL.md
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@@ -379,9 +379,3 @@ bazel build //... --notrack_incremental_state
- **Don't commit bazel-\* dirs** - Add to .gitignore - **Don't commit bazel-\* dirs** - Add to .gitignore
- **Don't skip WORKSPACE setup** - Foundation of build - **Don't skip WORKSPACE setup** - Foundation of build
- **Don't ignore build warnings** - Technical debt - **Don't ignore build warnings** - Technical debt
## Resources
- [Bazel Documentation](https://bazel.build/docs)
- [Bazel Remote Execution](https://bazel.build/docs/remote-execution)
- [rules_js](https://github.com/aspect-build/rules_js)

9
plugins/developer-essentials/skills/code-review-excellence/SKILL.md
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@@ -527,12 +527,3 @@ When author disagrees with your feedback:
✅ Approve after addressing required changes ✅ Approve after addressing required changes
``` ```
## Resources
- **references/code-review-best-practices.md**: Comprehensive review guidelines
- **references/common-bugs-checklist.md**: Language-specific bugs to watch for
- **references/security-review-guide.md**: Security-focused review checklist
- **assets/pr-review-template.md**: Standard review comment template
- **assets/review-checklist.md**: Quick reference checklist
- **scripts/pr-analyzer.py**: Analyze PR complexity and suggest reviewers

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