Merge pull request #78 from wshobson/feature/plugin-marketplace

Feature/plugin marketplace
This commit is contained in:
Seth Hobson
2025-10-09 12:01:22 -04:00
committed by GitHub
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README.md
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# Claude Code Subagents Collection # Claude Code Workflows & Agents
A comprehensive collection of 83 specialized AI subagents for [Claude Code](https://docs.anthropic.com/en/docs/claude-code), providing domain-specific expertise across software development, infrastructure, and business operations. A comprehensive production-ready system combining **83 specialized AI agents**, **15 multi-agent workflow orchestrators**, and **42 development tools** for [Claude Code](https://docs.anthropic.com/en/docs/claude-code).
## Overview ## Overview
This repository provides production-ready subagents that extend Claude Code's capabilities with specialized knowledge. Each subagent incorporates: This unified repository provides everything needed for intelligent automation and multi-agent orchestration across modern software development:
- Current industry best practices and standards (2024/2025) - **83 Specialized Agents** - Domain experts with deep knowledge across architecture, languages, infrastructure, quality, data/AI, documentation, business operations, and SEO
- Production-ready patterns and enterprise architectures - **15 Workflow Orchestrators** - Multi-agent coordination systems for complex operations like full-stack development, security hardening, ML pipelines, and incident response
- Deep domain expertise with 8-12 capability areas per agent - **42 Development Tools** - Focused utilities for specific tasks including API scaffolding, security scanning, test automation, and infrastructure setup
- Modern technology stacks and frameworks
- Optimized model selection based on task complexity ## Installation
### Quick Start
```bash
# Add the plugin marketplace
/plugin marketplace add wshobson/agents
# Browse available plugins
/plugin list
# Install your first plugin
/plugin install claude-code-essentials
```
### Available Plugins
#### Getting Started
**claude-code-essentials** - Essential tools for daily development
```bash
/plugin install claude-code-essentials
```
Includes: Code explanation, debugging, documentation, PR enhancement, git workflows
#### Complete Workflow Systems
**full-stack-development** - End-to-end feature implementation
```bash
/plugin install full-stack-development
```
Multi-agent coordination: Backend API → Frontend UI → Mobile → Testing → Security → Deployment
**security-hardening** - Security auditing and compliance
```bash
/plugin install security-hardening
```
OWASP scanning, penetration testing, code review, SOC2/HIPAA/GDPR compliance
**data-ml-pipeline** - ML/AI development and MLOps
```bash
/plugin install data-ml-pipeline
```
Data engineering → Model training → MLOps → LangChain/RAG → Deployment
**incident-response** - Production debugging and SRE
```bash
/plugin install incident-response
```
Diagnostics → Root cause analysis → Rollback → Post-mortem documentation
**performance-optimization** - System profiling and optimization
```bash
/plugin install performance-optimization
```
Profiling → Query optimization → Caching → Scalability assessment
**code-quality-review** - Multi-perspective code analysis
```bash
/plugin install code-quality-review
```
Architecture → Security → Performance → Test coverage analysis
**legacy-modernization** - Codebase modernization workflows
```bash
/plugin install legacy-modernization
```
Framework migration → Dependency updates → Refactoring → Compatibility testing
**multi-platform-apps** - Cross-platform development
```bash
/plugin install multi-platform-apps
```
Web (React/Next.js) → iOS (Swift) → Android (Kotlin) → Desktop coordination
**cicd-automation** - CI/CD pipeline configuration
```bash
/plugin install cicd-automation
```
GitHub Actions/GitLab CI → Progressive deployment → Canary releases → Monitoring
**agent-optimization** - AI agent performance tuning
```bash
/plugin install agent-optimization
```
Prompt engineering → Multi-agent coordination → Context management
**documentation-generation** - Technical documentation automation
```bash
/plugin install documentation-generation
```
OpenAPI specs → Mermaid diagrams → Tutorials → API references
#### Focused Development Kits
**api-development-kit** - REST/GraphQL API development
```bash
/plugin install api-development-kit
```
API scaffolding → OpenAPI docs → Security scanning → Mocking → Validation
**testing-quality-suite** - Comprehensive testing workflows
```bash
/plugin install testing-quality-suite
```
TDD workflows → Test generation → Unit/integration/e2e → Quality gates
**infrastructure-devops** - Container orchestration deployment
```bash
/plugin install infrastructure-devops
```
Kubernetes manifests → Docker optimization → Terraform IaC → Cost analysis
**development-utilities** - Daily productivity tools
```bash
/plugin install development-utilities
```
Refactoring → Dependency auditing → Error analysis → Standup automation
#### Infrastructure & Operations
**cloud-infrastructure** - AWS/Azure/GCP architecture
```bash
/plugin install cloud-infrastructure
```
Cloud design → Kubernetes → Terraform IaC → Hybrid cloud → Cost optimization
**database-operations** - Database optimization and administration
```bash
/plugin install database-operations
```
Schema design → Query optimization → Migrations → PostgreSQL/MySQL/MongoDB
#### Marketing & Business
**seo-content-suite** - SEO optimization toolkit
```bash
/plugin install seo-content-suite
```
Content analysis → Keyword research → Meta optimization → E-E-A-T signals
**business-analytics** - Business intelligence and metrics
```bash
/plugin install business-analytics
```
KPI tracking → Financial reporting → Data-driven decision making
**hr-legal-compliance** - HR and legal documentation
```bash
/plugin install hr-legal-compliance
```
HR policies → Legal templates → GDPR/SOC2/HIPAA compliance → Employment contracts
**customer-sales-automation** - Customer relationship workflows
```bash
/plugin install customer-sales-automation
```
Support automation → Sales pipeline → Email campaigns → CRM integration
#### Specialized Domains
**blockchain-web3** - Blockchain and smart contract development
```bash
/plugin install blockchain-web3
```
Solidity → Smart contracts → DeFi protocols → NFT platforms → Web3 apps
**quantitative-trading** - Financial modeling and algorithmic trading
```bash
/plugin install quantitative-trading
```
Quant analysis → Trading strategies → Portfolio risk → Backtesting
**payment-processing** - Payment gateway integration
```bash
/plugin install payment-processing
```
Stripe/PayPal integration → Checkout flows → Subscription billing → PCI compliance
**game-development** - Unity and Minecraft development
```bash
/plugin install game-development
```
Unity C# scripting → Minecraft Bukkit/Spigot plugins → Game mechanics
**accessibility-compliance** - WCAG accessibility auditing
```bash
/plugin install accessibility-compliance
```
WCAG validation → Screen reader testing → Keyboard navigation → Inclusive design
### Manual Installation
```bash
cd ~/.claude
git clone https://github.com/wshobson/agents.git
```
All agents, workflows, and tools will be automatically available to Claude Code.
## Repository Structure
```
agents/
├── agents/ # 83 specialized AI agents
│ ├── backend-architect.md
│ ├── frontend-developer.md
│ └── ... (all agent definitions)
├── workflows/ # 15 multi-agent orchestrators
│ ├── feature-development.md
│ ├── full-stack-feature.md
│ ├── security-hardening.md
│ └── ... (workflow commands)
├── tools/ # 42 development utilities
│ ├── api-scaffold.md
│ ├── security-scan.md
│ └── ... (tool commands)
└── README.md
```
## Usage
### Agent Invocation
After installing plugins, agents are automatically available. Invoke them explicitly in natural language:
```
"Use backend-architect to design the authentication API"
"Have security-auditor scan for OWASP vulnerabilities"
"Get performance-engineer to optimize this database query"
```
Claude Code automatically selects and coordinates the appropriate agents based on your request.
### Multi-Agent Orchestration Examples
Plugins provide pre-configured multi-agent workflows that coordinate complex operations:
**Full-Stack Development Plugin**
```
"Implement user dashboard with real-time analytics"
```
→ backend-architect → graphql-architect → frontend-developer → mobile-developer → test-automator → security-auditor → performance-engineer → deployment-engineer
**Security Hardening Plugin**
```
"Perform security audit and implement OWASP best practices"
```
→ security-auditor → backend-security-coder → frontend-security-coder → mobile-security-coder → test-automator
**Data/ML Pipeline Plugin**
```
"Build customer churn prediction model with deployment"
```
→ data-scientist → data-engineer → ml-engineer → mlops-engineer → ai-engineer → performance-engineer
**Incident Response Plugin**
```
"Debug production memory leak and create runbook"
```
→ incident-responder → devops-troubleshooter → debugger → error-detective → observability-engineer
## Agent Categories ## Agent Categories
@@ -186,15 +446,6 @@ This repository provides production-ready subagents that extend Claude Code's ca
| [hr-pro](agents/hr-pro.md) | opus | HR operations, policies, employee relations | | [hr-pro](agents/hr-pro.md) | opus | HR operations, policies, employee relations |
| [legal-advisor](agents/legal-advisor.md) | opus | Privacy policies, terms of service, legal documentation | | [legal-advisor](agents/legal-advisor.md) | opus | Privacy policies, terms of service, legal documentation |
### Specialized Domains
| Agent | Model | Description |
|-------|-------|-------------|
| [blockchain-developer](agents/blockchain-developer.md) | sonnet | Web3 apps, smart contracts, DeFi protocols |
| [payment-integration](agents/payment-integration.md) | sonnet | Payment processor integration (Stripe, PayPal) |
| [legacy-modernizer](agents/legacy-modernizer.md) | sonnet | Legacy code refactoring and modernization |
| [context-manager](agents/context-manager.md) | haiku | Multi-agent context management |
### SEO & Content Optimization ### SEO & Content Optimization
| Agent | Model | Description | | Agent | Model | Description |
@@ -210,6 +461,15 @@ This repository provides production-ready subagents that extend Claude Code's ca
| [seo-content-writer](agents/seo-content-writer.md) | sonnet | SEO-optimized content creation | | [seo-content-writer](agents/seo-content-writer.md) | sonnet | SEO-optimized content creation |
| [seo-content-planner](agents/seo-content-planner.md) | haiku | Content planning and topic clusters | | [seo-content-planner](agents/seo-content-planner.md) | haiku | Content planning and topic clusters |
### Specialized Domains
| Agent | Model | Description |
|-------|-------|-------------|
| [blockchain-developer](agents/blockchain-developer.md) | sonnet | Web3 apps, smart contracts, DeFi protocols |
| [payment-integration](agents/payment-integration.md) | sonnet | Payment processor integration (Stripe, PayPal) |
| [legacy-modernizer](agents/legacy-modernizer.md) | sonnet | Legacy code refactoring and modernization |
| [context-manager](agents/context-manager.md) | haiku | Multi-agent context management |
## Model Configuration ## Model Configuration
Agents are assigned to specific Claude models based on task complexity and computational requirements. The system uses three model tiers: Agents are assigned to specific Claude models based on task complexity and computational requirements. The system uses three model tiers:
@@ -249,111 +509,16 @@ Agents are assigned to specific Claude models based on task complexity and compu
| AI/ML Complex | 5 | `ai-engineer`, `ml-engineer`, `mlops-engineer`, `data-scientist`, `prompt-engineer` | | AI/ML Complex | 5 | `ai-engineer`, `ml-engineer`, `mlops-engineer`, `data-scientist`, `prompt-engineer` |
| Business Critical | 4 | `docs-architect`, `hr-pro`, `legal-advisor`, `quant-analyst` | | Business Critical | 4 | `docs-architect`, `hr-pro`, `legal-advisor`, `quant-analyst` |
## Installation ## Contributing
Clone the repository to the Claude agents directory: To add new agents, workflows, or tools:
```bash 1. Create a new `.md` file in the appropriate directory with frontmatter
cd ~/.claude 2. Use lowercase, hyphen-separated naming convention
git clone https://github.com/wshobson/agents.git 3. Write clear activation criteria in the description
``` 4. Define comprehensive system prompt with expertise areas
The subagents will be automatically available to Claude Code once placed in the `~/.claude/agents/` directory. ### Subagent Format
## Usage
### Automatic Delegation
Claude Code automatically selects the appropriate subagent based on task context and requirements. The system analyzes your request and delegates to the most suitable specialist.
### Explicit Invocation
Specify a subagent by name to use a particular specialist:
```
"Use code-reviewer to analyze the recent changes"
"Have security-auditor scan for vulnerabilities"
"Get performance-engineer to optimize this bottleneck"
```
## Usage Examples
### Code Quality & Security
```
code-reviewer: Analyze component for best practices
security-auditor: Check for OWASP compliance
tdd-orchestrator: Implement feature with test-first approach
performance-engineer: Profile and optimize bottlenecks
```
### Development & Architecture
```
backend-architect: Design authentication API
frontend-developer: Create responsive dashboard
graphql-architect: Design federated GraphQL schema
mobile-developer: Build cross-platform mobile app
```
### Infrastructure & Operations
```
devops-troubleshooter: Analyze production logs
cloud-architect: Design scalable AWS architecture
network-engineer: Debug SSL certificate issues
database-admin: Configure backup and replication
terraform-specialist: Write infrastructure modules
```
### Data & Machine Learning
```
data-scientist: Analyze customer behavior dataset
ai-engineer: Build RAG system for document search
mlops-engineer: Set up experiment tracking
ml-engineer: Deploy model to production
```
### Business & Documentation
```
business-analyst: Create metrics dashboard
docs-architect: Generate technical documentation
api-documenter: Write OpenAPI specifications
content-marketer: Create SEO-optimized content
```
## Multi-Agent Workflows
Subagents coordinate automatically for complex tasks. The system intelligently sequences multiple specialists based on task requirements.
### Common Workflow Patterns
**Feature Development**
```
"Implement user authentication"
→ backend-architect → frontend-developer → test-automator → security-auditor
```
**Performance Optimization**
```
"Optimize checkout process"
→ performance-engineer → database-optimizer → frontend-developer
```
**Production Incidents**
```
"Debug high memory usage"
→ incident-responder → devops-troubleshooter → error-detective → performance-engineer
```
**Infrastructure Setup**
```
"Set up disaster recovery"
→ database-admin → database-optimizer → terraform-specialist
```
**ML Pipeline Development**
```
"Build ML pipeline with monitoring"
→ mlops-engineer → ml-engineer → data-engineer → performance-engineer
```
## Subagent Format
Each subagent is defined as a Markdown file with frontmatter: Each subagent is defined as a Markdown file with frontmatter:
@@ -374,145 +539,6 @@ System prompt defining the subagent's expertise and behavior
- **sonnet**: Standard development and engineering tasks - **sonnet**: Standard development and engineering tasks
- **opus**: Complex analysis, architecture, and critical operations - **opus**: Complex analysis, architecture, and critical operations
## Agent Orchestration Patterns
### Sequential Processing
Agents execute in sequence, passing context forward:
```
backend-architect → frontend-developer → test-automator → security-auditor
```
### Parallel Execution
Multiple agents work simultaneously on different aspects:
```
performance-engineer + database-optimizer → Merged analysis
```
### Conditional Routing
Dynamic agent selection based on analysis:
```
debugger → [backend-architect | frontend-developer | devops-troubleshooter]
```
### Validation Pipeline
Primary work followed by specialized review:
```
payment-integration → security-auditor → Validated implementation
```
## Agent Selection Guide
### Architecture & Planning
| Task | Recommended Agent | Key Capabilities |
|------|------------------|------------------|
| API Design | `backend-architect` | RESTful APIs, microservices, database schemas |
| Cloud Infrastructure | `cloud-architect` | AWS/Azure/GCP design, scalability planning |
| UI/UX Design | `ui-ux-designer` | Interface design, wireframes, design systems |
| System Architecture | `architect-reviewer` | Pattern validation, consistency analysis |
### Development by Language
| Language Category | Agents | Primary Use Cases |
|-------------------|--------|-------------------|
| Systems Programming | `c-pro`, `cpp-pro`, `rust-pro`, `golang-pro` | OS interfaces, embedded systems, high performance |
| Web Development | `javascript-pro`, `typescript-pro`, `python-pro`, `ruby-pro`, `php-pro` | Full-stack web applications, APIs, scripting |
| Enterprise | `java-pro`, `csharp-pro`, `scala-pro` | Large-scale applications, enterprise systems |
| Mobile | `ios-developer`, `flutter-expert`, `mobile-developer` | Native and cross-platform mobile apps |
| Specialized | `elixir-pro`, `django-pro`, `fastapi-pro`, `unity-developer`, `minecraft-bukkit-pro` | Domain-specific development |
### Operations & Infrastructure
| Task | Recommended Agent | Key Capabilities |
|------|------------------|------------------|
| Production Issues | `devops-troubleshooter` | Log analysis, deployment debugging |
| Critical Incidents | `incident-responder` | Outage response, immediate mitigation |
| Database Performance | `database-optimizer` | Query optimization, indexing strategies |
| Database Operations | `database-admin` | Backup, replication, disaster recovery |
| Infrastructure as Code | `terraform-specialist` | Terraform modules, state management |
| Network Issues | `network-engineer` | Network debugging, load balancing |
### Quality & Security
| Task | Recommended Agent | Key Capabilities |
|------|------------------|------------------|
| Code Review | `code-reviewer` | Security focus, best practices |
| Security Audit | `security-auditor` | Vulnerability scanning, OWASP compliance |
| Test Creation | `test-automator` | Unit, integration, E2E test suites |
| Performance Issues | `performance-engineer` | Profiling, optimization |
| Bug Investigation | `debugger` | Error resolution, root cause analysis |
### Data & Machine Learning
| Task | Recommended Agent | Key Capabilities |
|------|------------------|------------------|
| Data Analysis | `data-scientist` | SQL queries, statistical analysis |
| LLM Applications | `ai-engineer` | RAG systems, prompt pipelines |
| ML Development | `ml-engineer` | Model training, feature engineering |
| ML Operations | `mlops-engineer` | ML infrastructure, experiment tracking |
### Documentation & Business
| Task | Recommended Agent | Key Capabilities |
|------|------------------|------------------|
| Technical Docs | `docs-architect` | Comprehensive documentation generation |
| API Documentation | `api-documenter` | OpenAPI/Swagger specifications |
| Business Metrics | `business-analyst` | KPI tracking, reporting |
| Legal Compliance | `legal-advisor` | Privacy policies, terms of service |
## Best Practices
### Task Delegation
1. **Automatic selection** - Let Claude Code analyze context and select optimal agents
2. **Clear requirements** - Specify constraints, tech stack, and quality standards
3. **Trust specialization** - Each agent is optimized for their specific domain
### Multi-Agent Workflows
1. **High-level requests** - Allow agents to coordinate complex multi-step tasks
2. **Context preservation** - Ensure agents have necessary background information
3. **Integration review** - Verify how different agents' outputs work together
### Explicit Control
1. **Direct invocation** - Specify agents when you need particular expertise
2. **Strategic combination** - Use multiple specialists for validation
3. **Review patterns** - Request specific review workflows (e.g., "security-auditor reviews API design")
### Performance Optimization
1. **Monitor effectiveness** - Track which agents work best for your use cases
2. **Iterative refinement** - Use agent feedback to improve requirements
3. **Complexity matching** - Align task complexity with agent capabilities
## Contributing
To add a new subagent:
1. Create a new `.md` file in the `agents/` directory with appropriate frontmatter
2. Use lowercase, hyphen-separated naming convention
3. Write clear activation criteria in the description
4. Define comprehensive system prompt with expertise areas
## Troubleshooting
### Agent Not Activating
- Ensure request clearly indicates the domain
- Be specific about task type and requirements
- Use explicit invocation if automatic selection fails
### Unexpected Agent Selection
- Provide more context about tech stack
- Include specific requirements in request
- Use direct agent naming for precise control
### Conflicting Recommendations
- Normal behavior - specialists have different priorities
- Request reconciliation between specific agents
- Consider trade-offs based on project requirements
### Missing Context
- Include background information in requests
- Reference previous work or patterns
- Provide project-specific constraints
## License ## License
MIT License - see [LICENSE](LICENSE) file for details. MIT License - see [LICENSE](LICENSE) file for details.

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# Accessibility Audit and Testing # Accessibility Audit and Testing

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# AI Assistant Development # AI Assistant Development

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# AI/ML Code Review # AI/ML Code Review

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# API Mocking Framework # API Mocking Framework

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# API Scaffold Generator # API Scaffold Generator

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# Code Explanation and Analysis # Code Explanation and Analysis

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# Code Migration Assistant # Code Migration Assistant

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# Regulatory Compliance Check # Regulatory Compliance Check

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# Configuration Validation # Configuration Validation

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Restore saved project context for agent coordination: Restore saved project context for agent coordination:

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Save current project context for future agent coordination: Save current project context for future agent coordination:

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# Cloud Cost Optimization # Cloud Cost Optimization

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# Data Pipeline Architecture # Data Pipeline Architecture

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# Data Validation Pipeline # Data Validation Pipeline

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# Database Migration Strategy and Implementation # Database Migration Strategy and Implementation

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# Debug and Trace Configuration # Debug and Trace Configuration

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# Deployment Checklist and Configuration # Deployment Checklist and Configuration

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# Dependency Audit and Security Analysis # Dependency Audit and Security Analysis

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# Dependency Upgrade Strategy # Dependency Upgrade Strategy

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# Automated Documentation Generation # Automated Documentation Generation

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# Docker Optimization # Docker Optimization

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# Error Analysis and Resolution # Error Analysis and Resolution

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# Error Tracking and Monitoring # Error Tracking and Monitoring

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Please analyze and fix the GitHub issue: $ARGUMENTS. Please analyze and fix the GitHub issue: $ARGUMENTS.

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# Kubernetes Manifest Generation # Kubernetes Manifest Generation

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# LangChain/LangGraph Agent Scaffold # LangChain/LangGraph Agent Scaffold

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# Monitoring and Observability Setup # Monitoring and Observability Setup

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Optimize application stack using specialized optimization agents: Optimize application stack using specialized optimization agents:

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Perform comprehensive multi-agent code review with specialized reviewers: Perform comprehensive multi-agent code review with specialized reviewers:

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# Onboard # Onboard

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# Pull Request Enhancement # Pull Request Enhancement

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# AI Prompt Optimization # AI Prompt Optimization

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# Refactor and Clean Code # Refactor and Clean Code

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# Security Scan and Vulnerability Assessment # Security Scan and Vulnerability Assessment

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# SLO Implementation Guide # SLO Implementation Guide

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Debug complex issues using specialized debugging agents: Debug complex issues using specialized debugging agents:

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# Standup Notes Generator # Standup Notes Generator

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Implement minimal code to make failing tests pass in TDD green phase: Implement minimal code to make failing tests pass in TDD green phase:

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Write comprehensive failing tests following TDD red phase principles: Write comprehensive failing tests following TDD red phase principles:

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Refactor code with confidence using comprehensive test safety net: Refactor code with confidence using comprehensive test safety net:

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# Technical Debt Analysis and Remediation # Technical Debt Analysis and Remediation

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# Comprehensive Test Harness Generator # Comprehensive Test Harness Generator

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Build data-driven features with integrated pipelines and ML capabilities using specialized agents: Build data-driven features with integrated pipelines and ML capabilities using specialized agents:

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Implement a new feature using specialized agents with explicit Task tool invocations: Implement a new feature using specialized agents with explicit Task tool invocations:

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Perform a comprehensive review using multiple specialized agents with explicit Task tool invocations: Perform a comprehensive review using multiple specialized agents with explicit Task tool invocations:

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Implement a full-stack feature across multiple platforms with coordinated agent orchestration: Implement a full-stack feature across multiple platforms with coordinated agent orchestration:

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Complete Git workflow using specialized agents: Complete Git workflow using specialized agents:

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Improve an existing agent based on recent performance: Improve an existing agent based on recent performance:

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Respond to production incidents with coordinated agent expertise for rapid resolution: Respond to production incidents with coordinated agent expertise for rapid resolution:

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Modernize legacy code using expert agents: Modernize legacy code using expert agents:

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# Machine Learning Pipeline # Machine Learning Pipeline

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Build the same feature across multiple platforms: Build the same feature across multiple platforms:

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Optimize application performance end-to-end using specialized performance and optimization agents: Optimize application performance end-to-end using specialized performance and optimization agents:

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Implement security-first architecture and hardening measures with coordinated agent orchestration: Implement security-first architecture and hardening measures with coordinated agent orchestration:

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model: claude-opus-4-1 model: sonnet
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Intelligently fix the issue using automatic agent selection with explicit Task tool invocations: Intelligently fix the issue using automatic agent selection with explicit Task tool invocations:

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model: claude-opus-4-1 model: sonnet
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Execute a comprehensive Test-Driven Development (TDD) workflow with strict red-green-refactor discipline: Execute a comprehensive Test-Driven Development (TDD) workflow with strict red-green-refactor discipline:

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# Workflow Automation # Workflow Automation