mirror of
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Consolidate workflows and tools from commands repository
Repository Restructure: - Move all 83 agent .md files to agents/ subdirectory - Add 15 workflow orchestrators from commands repo to workflows/ - Add 42 development tools from commands repo to tools/ - Update README for unified repository structure The commands repository functionality is now fully integrated, providing complete workflow orchestration and development tooling alongside agents. Directory Structure: - agents/ - 83 specialized AI agents - workflows/ - 15 multi-agent orchestration commands - tools/ - 42 focused development utilities No breaking changes to agent functionality - all agents remain accessible with same names and behavior. Adds workflow and tool commands for enhanced multi-agent coordination capabilities.
This commit is contained in:
Seth Hobson
668
README.md
668
README.md
@@ -1,526 +1,267 @@
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# Claude Code Subagents Collection
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# Claude Code Workflows & Agents
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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.
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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).
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## Overview
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This repository provides production-ready subagents that extend Claude Code's capabilities with specialized knowledge. Each subagent incorporates:
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This unified repository provides everything needed for intelligent automation and multi-agent orchestration across modern software development:
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- Current industry best practices and standards (2024/2025)
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- Production-ready patterns and enterprise architectures
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- Deep domain expertise with 8-12 capability areas per agent
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- Modern technology stacks and frameworks
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- Optimized model selection based on task complexity
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- **83 Specialized Agents** - Domain experts with deep knowledge (architecture, languages, infrastructure, quality, data/AI, business)
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- **15 Workflow Orchestrators** - Multi-agent coordination systems for complex operations
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- **42 Development Tools** - Focused utilities for specific tasks
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## Agent Categories
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## System Requirements
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### Architecture & System Design
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#### Core Architecture
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| Agent | Model | Description |
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|-------|-------|-------------|
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| [backend-architect](backend-architect.md) | opus | RESTful API design, microservice boundaries, database schemas |
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| [frontend-developer](frontend-developer.md) | sonnet | React components, responsive layouts, client-side state management |
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| [graphql-architect](graphql-architect.md) | opus | GraphQL schemas, resolvers, federation architecture |
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| [architect-reviewer](architect-review.md) | opus | Architectural consistency analysis and pattern validation |
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| [cloud-architect](cloud-architect.md) | opus | AWS/Azure/GCP infrastructure design and cost optimization |
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| [hybrid-cloud-architect](hybrid-cloud-architect.md) | opus | Multi-cloud strategies across cloud and on-premises environments |
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| [kubernetes-architect](kubernetes-architect.md) | opus | Cloud-native infrastructure with Kubernetes and GitOps |
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#### UI/UX & Mobile
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| Agent | Model | Description |
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|-------|-------|-------------|
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| [ui-ux-designer](ui-ux-designer.md) | sonnet | Interface design, wireframes, design systems |
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| [ui-visual-validator](ui-visual-validator.md) | sonnet | Visual regression testing and UI verification |
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| [mobile-developer](mobile-developer.md) | sonnet | React Native and Flutter application development |
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| [ios-developer](ios-developer.md) | sonnet | Native iOS development with Swift/SwiftUI |
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| [flutter-expert](flutter-expert.md) | sonnet | Advanced Flutter development with state management |
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### Programming Languages
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#### Systems & Low-Level
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| Agent | Model | Description |
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|-------|-------|-------------|
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| [c-pro](c-pro.md) | sonnet | System programming with memory management and OS interfaces |
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| [cpp-pro](cpp-pro.md) | sonnet | Modern C++ with RAII, smart pointers, STL algorithms |
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| [rust-pro](rust-pro.md) | sonnet | Memory-safe systems programming with ownership patterns |
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| [golang-pro](golang-pro.md) | sonnet | Concurrent programming with goroutines and channels |
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#### Web & Application
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| Agent | Model | Description |
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|-------|-------|-------------|
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| [javascript-pro](javascript-pro.md) | sonnet | Modern JavaScript with ES6+, async patterns, Node.js |
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| [typescript-pro](typescript-pro.md) | sonnet | Advanced TypeScript with type systems and generics |
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| [python-pro](python-pro.md) | sonnet | Python development with advanced features and optimization |
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| [ruby-pro](ruby-pro.md) | sonnet | Ruby with metaprogramming, Rails patterns, gem development |
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| [php-pro](php-pro.md) | sonnet | Modern PHP with frameworks and performance optimization |
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#### Enterprise & JVM
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| Agent | Model | Description |
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|-------|-------|-------------|
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| [java-pro](java-pro.md) | sonnet | Modern Java with streams, concurrency, JVM optimization |
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| [scala-pro](scala-pro.md) | sonnet | Enterprise Scala with functional programming and distributed systems |
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| [csharp-pro](csharp-pro.md) | sonnet | C# development with .NET frameworks and patterns |
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#### Specialized Platforms
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| Agent | Model | Description |
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|-------|-------|-------------|
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| [elixir-pro](elixir-pro.md) | sonnet | Elixir with OTP patterns and Phoenix frameworks |
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| [unity-developer](unity-developer.md) | sonnet | Unity game development and optimization |
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| [minecraft-bukkit-pro](minecraft-bukkit-pro.md) | sonnet | Minecraft server plugin development |
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| [sql-pro](sql-pro.md) | sonnet | Complex SQL queries and database optimization |
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### Infrastructure & Operations
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#### DevOps & Deployment
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| Agent | Model | Description |
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|-------|-------|-------------|
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| [devops-troubleshooter](devops-troubleshooter.md) | sonnet | Production debugging, log analysis, deployment troubleshooting |
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| [deployment-engineer](deployment-engineer.md) | sonnet | CI/CD pipelines, containerization, cloud deployments |
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| [terraform-specialist](terraform-specialist.md) | opus | Infrastructure as Code with Terraform modules and state management |
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| [dx-optimizer](dx-optimizer.md) | sonnet | Developer experience optimization and tooling improvements |
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#### Database Management
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| Agent | Model | Description |
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|-------|-------|-------------|
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| [database-optimizer](database-optimizer.md) | opus | Query optimization, index design, migration strategies |
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| [database-admin](database-admin.md) | sonnet | Database operations, backup, replication, monitoring |
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#### Incident Response & Network
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| Agent | Model | Description |
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|-------|-------|-------------|
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| [incident-responder](incident-responder.md) | opus | Production incident management and resolution |
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| [network-engineer](network-engineer.md) | sonnet | Network debugging, load balancing, traffic analysis |
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### Quality Assurance & Security
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#### Code Quality & Review
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| Agent | Model | Description |
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|-------|-------|-------------|
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| [code-reviewer](code-reviewer.md) | opus | Code review with security focus and production reliability |
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| [security-auditor](security-auditor.md) | opus | Vulnerability assessment and OWASP compliance |
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| [backend-security-coder](backend-security-coder.md) | opus | Secure backend coding practices, API security implementation |
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| [frontend-security-coder](frontend-security-coder.md) | opus | XSS prevention, CSP implementation, client-side security |
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| [mobile-security-coder](mobile-security-coder.md) | opus | Mobile security patterns, WebView security, biometric auth |
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| [architect-reviewer](architect-review.md) | opus | Architectural consistency and pattern validation |
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#### Testing & Debugging
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| Agent | Model | Description |
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|-------|-------|-------------|
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| [test-automator](test-automator.md) | sonnet | Comprehensive test suite creation (unit, integration, e2e) |
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| [tdd-orchestrator](tdd-orchestrator.md) | sonnet | Test-Driven Development methodology guidance |
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| [debugger](debugger.md) | sonnet | Error resolution and test failure analysis |
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| [error-detective](error-detective.md) | sonnet | Log analysis and error pattern recognition |
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#### Performance & Observability
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| Agent | Model | Description |
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|-------|-------|-------------|
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| [performance-engineer](performance-engineer.md) | opus | Application profiling and optimization |
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| [observability-engineer](observability-engineer.md) | opus | Production monitoring, distributed tracing, SLI/SLO management |
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| [search-specialist](search-specialist.md) | haiku | Advanced web research and information synthesis |
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### Data & AI
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#### Data Engineering & Analytics
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| Agent | Model | Description |
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|-------|-------|-------------|
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| [data-scientist](data-scientist.md) | opus | Data analysis, SQL queries, BigQuery operations |
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| [data-engineer](data-engineer.md) | sonnet | ETL pipelines, data warehouses, streaming architectures |
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#### Machine Learning & AI
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| Agent | Model | Description |
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|-------|-------|-------------|
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| [ai-engineer](ai-engineer.md) | opus | LLM applications, RAG systems, prompt pipelines |
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| [ml-engineer](ml-engineer.md) | opus | ML pipelines, model serving, feature engineering |
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| [mlops-engineer](mlops-engineer.md) | opus | ML infrastructure, experiment tracking, model registries |
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| [prompt-engineer](prompt-engineer.md) | opus | LLM prompt optimization and engineering |
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### Documentation & Technical Writing
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| Agent | Model | Description |
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|-------|-------|-------------|
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| [docs-architect](docs-architect.md) | opus | Comprehensive technical documentation generation |
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| [api-documenter](api-documenter.md) | sonnet | OpenAPI/Swagger specifications and developer docs |
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| [reference-builder](reference-builder.md) | haiku | Technical references and API documentation |
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| [tutorial-engineer](tutorial-engineer.md) | sonnet | Step-by-step tutorials and educational content |
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| [mermaid-expert](mermaid-expert.md) | sonnet | Diagram creation (flowcharts, sequences, ERDs) |
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### Business & Operations
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#### Business Analysis & Finance
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| Agent | Model | Description |
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|-------|-------|-------------|
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| [business-analyst](business-analyst.md) | sonnet | Metrics analysis, reporting, KPI tracking |
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| [quant-analyst](quant-analyst.md) | opus | Financial modeling, trading strategies, market analysis |
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| [risk-manager](risk-manager.md) | sonnet | Portfolio risk monitoring and management |
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#### Marketing & Sales
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| Agent | Model | Description |
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|-------|-------|-------------|
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| [content-marketer](content-marketer.md) | sonnet | Blog posts, social media, email campaigns |
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| [sales-automator](sales-automator.md) | haiku | Cold emails, follow-ups, proposal generation |
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#### Support & Legal
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| Agent | Model | Description |
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|-------|-------|-------------|
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| [customer-support](customer-support.md) | sonnet | Support tickets, FAQ responses, customer communication |
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| [hr-pro](hr-pro.md) | opus | HR operations, policies, employee relations |
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| [legal-advisor](legal-advisor.md) | opus | Privacy policies, terms of service, legal documentation |
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### Specialized Domains
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| Agent | Model | Description |
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|-------|-------|-------------|
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| [blockchain-developer](blockchain-developer.md) | sonnet | Web3 apps, smart contracts, DeFi protocols |
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| [payment-integration](payment-integration.md) | sonnet | Payment processor integration (Stripe, PayPal) |
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| [legacy-modernizer](legacy-modernizer.md) | sonnet | Legacy code refactoring and modernization |
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| [context-manager](context-manager.md) | haiku | Multi-agent context management |
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### SEO & Content Optimization
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| Agent | Model | Description |
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|-------|-------|-------------|
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| [seo-content-auditor](seo-content-auditor.md) | sonnet | Content quality analysis, E-E-A-T signals assessment |
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| [seo-meta-optimizer](seo-meta-optimizer.md) | haiku | Meta title and description optimization |
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| [seo-keyword-strategist](seo-keyword-strategist.md) | haiku | Keyword analysis and semantic variations |
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| [seo-structure-architect](seo-structure-architect.md) | haiku | Content structure and schema markup |
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| [seo-snippet-hunter](seo-snippet-hunter.md) | haiku | Featured snippet formatting |
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| [seo-content-refresher](seo-content-refresher.md) | haiku | Content freshness analysis |
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| [seo-cannibalization-detector](seo-cannibalization-detector.md) | haiku | Keyword overlap detection |
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| [seo-authority-builder](seo-authority-builder.md) | sonnet | E-E-A-T signal analysis |
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| [seo-content-writer](seo-content-writer.md) | sonnet | SEO-optimized content creation |
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| [seo-content-planner](seo-content-planner.md) | haiku | Content planning and topic clusters |
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## Model Configuration
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Agents are assigned to specific Claude models based on task complexity and computational requirements. The system uses three model tiers:
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### Model Distribution Summary
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| Model | Agent Count | Use Case |
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|-------|-------------|----------|
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| Haiku | 11 | Quick, focused tasks with minimal computational overhead |
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| Sonnet | 46 | Standard development and specialized engineering tasks |
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| Opus | 22 | Complex reasoning, architecture, and critical analysis |
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### Haiku Model Agents
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| Category | Agents |
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|----------|--------|
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| Context & Reference | `context-manager`, `reference-builder`, `sales-automator`, `search-specialist` |
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| SEO Optimization | `seo-meta-optimizer`, `seo-keyword-strategist`, `seo-structure-architect`, `seo-snippet-hunter`, `seo-content-refresher`, `seo-cannibalization-detector`, `seo-content-planner` |
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### Sonnet Model Agents
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| Category | Count | Agents |
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|----------|-------|--------|
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| Programming Languages | 18 | All language-specific agents (JavaScript, Python, Java, C++, etc.) |
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| Frontend & UI | 5 | `frontend-developer`, `ui-ux-designer`, `ui-visual-validator`, `mobile-developer`, `ios-developer` |
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| Infrastructure | 8 | `devops-troubleshooter`, `deployment-engineer`, `dx-optimizer`, `database-admin`, `network-engineer`, `flutter-expert`, `api-documenter`, `tutorial-engineer` |
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| Quality & Testing | 4 | `test-automator`, `tdd-orchestrator`, `debugger`, `error-detective` |
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| Business & Support | 6 | `business-analyst`, `risk-manager`, `content-marketer`, `customer-support`, `mermaid-expert`, `legacy-modernizer` |
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| Data & Content | 5 | `data-engineer`, `payment-integration`, `seo-content-auditor`, `seo-authority-builder`, `seo-content-writer` |
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### Opus Model Agents
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| Category | Count | Agents |
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|----------|-------|--------|
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| Architecture & Design | 7 | `architect-reviewer`, `backend-architect`, `cloud-architect`, `hybrid-cloud-architect`, `kubernetes-architect`, `graphql-architect`, `terraform-specialist` |
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| Critical Analysis | 6 | `code-reviewer`, `security-auditor`, `performance-engineer`, `observability-engineer`, `incident-responder`, `database-optimizer` |
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| AI/ML Complex | 5 | `ai-engineer`, `ml-engineer`, `mlops-engineer`, `data-scientist`, `prompt-engineer` |
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| Business Critical | 4 | `docs-architect`, `hr-pro`, `legal-advisor`, `quant-analyst` |
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- [Claude Code](https://docs.anthropic.com/en/docs/claude-code) installed and configured
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- Git for repository management
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## Installation
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Clone the repository to the Claude agents directory:
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```bash
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cd ~/.claude
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git clone https://github.com/wshobson/agents.git
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```
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The subagents will be automatically available to Claude Code once placed in the `~/.claude/agents/` directory.
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All agents, workflows, and tools will be automatically available to Claude Code.
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## Repository Structure
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```
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agents/
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├── agents/ # 83 specialized AI agents
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│ ├── backend-architect.md
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│ ├── frontend-developer.md
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│ └── ... (all agent definitions)
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├── workflows/ # 15 multi-agent orchestrators
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│ ├── feature-development.md
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│ ├── full-stack-feature.md
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│ ├── security-hardening.md
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│ └── ... (workflow commands)
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├── tools/ # 42 development utilities
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│ ├── api-scaffold.md
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│ ├── security-scan.md
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│ └── ... (tool commands)
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└── README.md
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```
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## Workflow Commands
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Multi-agent orchestration systems that coordinate complex, cross-domain tasks:
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### Core Development Workflows
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| Command | Purpose | Agent Coordination |
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|---------|---------|-------------------|
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| `feature-development` | End-to-end feature implementation | Backend, frontend, testing, deployment |
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| `full-stack-feature` | Complete multi-tier implementation | Backend API, frontend UI, mobile, database |
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| `full-review` | Multi-perspective code analysis | Architecture, security, performance, quality |
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| `smart-fix` | Intelligent problem resolution | Dynamic agent selection based on issue type |
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| `tdd-cycle` | Test-driven development orchestration | Test writer, implementer, refactoring specialist |
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### Process Automation Workflows
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| Command | Purpose | Scope |
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|---------|---------|-------|
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| `git-workflow` | Version control process automation | Branching strategies, commit standards, PR templates |
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| `improve-agent` | Agent optimization | Prompt engineering, performance tuning |
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| `legacy-modernize` | Codebase modernization | Architecture migration, dependency updates |
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| `multi-platform` | Cross-platform development | Web, mobile, desktop coordination |
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| `workflow-automate` | CI/CD pipeline automation | Build, test, deploy, monitor |
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### Advanced Orchestration Workflows
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| Command | Primary Focus | Specialized Agents |
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|---------|---------------|-------------------|
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| `security-hardening` | Security-first development | Threat modeling, vulnerability assessment |
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| `data-driven-feature` | ML-powered functionality | Data science, feature engineering, model deployment |
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| `ml-pipeline` | End-to-end ML infrastructure | MLOps, data engineering, model serving |
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| `performance-optimization` | System-wide optimization | Profiling, caching, query optimization |
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| `incident-response` | Production issue resolution | Diagnostics, root cause analysis, hotfix deployment |
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## Development Tools
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Focused, single-purpose utilities for specific development operations:
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||||
### AI and Machine Learning
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||||
- `langchain-agent` - LangChain agent development
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||||
- `ai-assistant` - AI-powered development assistance
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- `ai-review` - AI-based code review
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||||
### API Development
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||||
- `api-scaffold` - API endpoint scaffolding
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- `api-mock` - API mocking and testing
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||||
### Testing & Quality
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- `tdd-red` - Red phase (failing tests)
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- `tdd-green` - Green phase (passing implementation)
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- `tdd-refactor` - Refactor phase
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- `test-harness` - Test infrastructure setup
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||||
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||||
### Security & Compliance
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||||
- `security-scan` - Vulnerability scanning
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||||
- `compliance-check` - Compliance validation
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||||
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||||
### Infrastructure & Operations
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||||
- `k8s-manifest` - Kubernetes manifest generation
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||||
- `docker-optimize` - Docker optimization
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||||
- `monitor-setup` - Monitoring infrastructure
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||||
- `deploy-checklist` - Deployment validation
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||||
### Code Quality
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||||
- `code-explain` - Code explanation
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||||
- `code-migrate` - Code migration
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||||
- `refactor-clean` - Code refactoring
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||||
- `pr-enhance` - Pull request enhancement
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||||
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||||
### And 20+ more tools for debugging, documentation, data validation, cost optimization, and developer workflows
|
||||
|
||||
## 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.
|
||||
### Workflow Invocation
|
||||
|
||||
### Explicit Invocation
|
||||
Specify a subagent by name to use a particular specialist:
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||||
```bash
|
||||
# Full-stack feature development
|
||||
/workflows:feature-development implement OAuth2 authentication
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||||
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||||
# Security hardening
|
||||
/workflows:security-hardening perform security audit and remediation
|
||||
|
||||
# ML pipeline
|
||||
/workflows:ml-pipeline build recommendation system with monitoring
|
||||
|
||||
# Incident response
|
||||
/workflows:incident-response debug production memory leak
|
||||
```
|
||||
"Use code-reviewer to analyze the recent changes"
|
||||
"Have security-auditor scan for vulnerabilities"
|
||||
|
||||
### Tool Invocation
|
||||
|
||||
```bash
|
||||
# API scaffolding
|
||||
/tools:api-scaffold create user management endpoints
|
||||
|
||||
# Security scanning
|
||||
/tools:security-scan perform vulnerability assessment
|
||||
|
||||
# Documentation generation
|
||||
/tools:doc-generate create API documentation
|
||||
```
|
||||
|
||||
### Direct Agent Access
|
||||
|
||||
Agents are automatically available and can be explicitly invoked:
|
||||
|
||||
```bash
|
||||
"Use backend-architect to design the authentication API"
|
||||
"Have security-auditor scan for OWASP vulnerabilities"
|
||||
"Get performance-engineer to optimize this bottleneck"
|
||||
```
|
||||
|
||||
## Usage Examples
|
||||
## Agent Categories
|
||||
|
||||
### 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
|
||||
```
|
||||
### Architecture & System Design (7 agents)
|
||||
backend-architect, cloud-architect, kubernetes-architect, hybrid-cloud-architect, graphql-architect, terraform-specialist, architect-review
|
||||
|
||||
### 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
|
||||
```
|
||||
### Programming Languages (15 agents)
|
||||
javascript-pro, typescript-pro, python-pro, golang-pro, rust-pro, java-pro, csharp-pro, c-pro, cpp-pro, ruby-pro, php-pro, scala-pro, elixir-pro, django-pro, fastapi-pro
|
||||
|
||||
### Infrastructure & Operations
|
||||
### Infrastructure & Operations (9 agents)
|
||||
devops-troubleshooter, deployment-engineer, database-admin, database-optimizer, database-architect, network-engineer, incident-responder, performance-engineer, observability-engineer
|
||||
|
||||
### Security & Quality (9 agents)
|
||||
code-reviewer, security-auditor, backend-security-coder, frontend-security-coder, mobile-security-coder, test-automator, tdd-orchestrator, debugger, error-detective
|
||||
|
||||
### Frontend & Mobile (7 agents)
|
||||
frontend-developer, ui-ux-designer, ui-visual-validator, mobile-developer, ios-developer, flutter-expert, unity-developer
|
||||
|
||||
### Data & AI (6 agents)
|
||||
data-scientist, data-engineer, ml-engineer, mlops-engineer, ai-engineer, prompt-engineer
|
||||
|
||||
### Documentation (5 agents)
|
||||
docs-architect, api-documenter, reference-builder, tutorial-engineer, mermaid-expert
|
||||
|
||||
### Business & Operations (6 agents)
|
||||
business-analyst, hr-pro, legal-advisor, customer-support, sales-automator, content-marketer
|
||||
|
||||
### SEO & Content (10 agents)
|
||||
seo-content-writer, seo-content-auditor, seo-keyword-strategist, seo-meta-optimizer, seo-structure-architect, seo-snippet-hunter, seo-content-refresher, seo-cannibalization-detector, seo-authority-builder, seo-content-planner
|
||||
|
||||
### Specialized Domains (7 agents)
|
||||
blockchain-developer, quant-analyst, risk-manager, payment-integration, minecraft-bukkit-pro, legacy-modernizer, context-manager
|
||||
|
||||
### Utilities (3 agents)
|
||||
search-specialist, dx-optimizer, sql-pro
|
||||
|
||||
## Multi-Agent Orchestration Examples
|
||||
|
||||
### Full-Stack Development
|
||||
```bash
|
||||
/workflows:full-stack-feature implement user dashboard with analytics
|
||||
```
|
||||
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
|
||||
**Orchestrates**: backend-architect → graphql-architect → frontend-developer → mobile-developer → test-automator → security-auditor → performance-engineer → deployment-engineer
|
||||
|
||||
### Security Hardening
|
||||
```bash
|
||||
/workflows:security-hardening implement security best practices
|
||||
```
|
||||
**Orchestrates**: security-auditor → backend-security-coder → frontend-security-coder → mobile-security-coder → test-automator
|
||||
|
||||
### Data & Machine Learning
|
||||
### Data/ML Pipeline
|
||||
```bash
|
||||
/workflows:ml-pipeline build customer churn prediction model
|
||||
```
|
||||
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
|
||||
**Orchestrates**: data-scientist → data-engineer → ml-engineer → mlops-engineer → ai-engineer → performance-engineer
|
||||
|
||||
### Incident Response
|
||||
```bash
|
||||
/workflows:incident-response debug high CPU usage in production
|
||||
```
|
||||
**Orchestrates**: incident-responder → devops-troubleshooter → debugger → error-detective → observability-engineer
|
||||
|
||||
### Business & Documentation
|
||||
```
|
||||
business-analyst: Create metrics dashboard
|
||||
docs-architect: Generate technical documentation
|
||||
api-documenter: Write OpenAPI specifications
|
||||
content-marketer: Create SEO-optimized content
|
||||
```
|
||||
## Model Configuration
|
||||
|
||||
## Multi-Agent Workflows
|
||||
Agents are assigned to specific Claude models based on task complexity:
|
||||
|
||||
Subagents coordinate automatically for complex tasks. The system intelligently sequences multiple specialists based on task requirements.
|
||||
| Model | Count | Use Cases |
|
||||
|-------|-------|-----------|
|
||||
| **Opus** | 22 | Complex architecture, critical analysis, security audits, business operations |
|
||||
| **Sonnet** | 50 | Standard development, engineering tasks, quality assurance |
|
||||
| **Haiku** | 11 | Quick focused tasks, SEO optimization, reference building |
|
||||
|
||||
### 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
|
||||
```
|
||||
|
||||
### Integration with Claude Code Commands
|
||||
|
||||
For sophisticated multi-agent orchestration, use the [Claude Code Commands](https://github.com/wshobson/commands) collection which provides 52 pre-built slash commands:
|
||||
|
||||
```
|
||||
/full-stack-feature # Coordinates 8+ agents for complete feature development
|
||||
/incident-response # Activates incident management workflow
|
||||
/ml-pipeline # Sets up end-to-end ML infrastructure
|
||||
/security-hardening # Implements security best practices across stack
|
||||
```
|
||||
|
||||
## Subagent Format
|
||||
|
||||
Each subagent is defined as a Markdown file with frontmatter:
|
||||
|
||||
```markdown
|
||||
---
|
||||
name: subagent-name
|
||||
description: Activation criteria for this subagent
|
||||
model: haiku|sonnet|opus # Optional: Model selection
|
||||
tools: tool1, tool2 # Optional: Tool restrictions
|
||||
---
|
||||
|
||||
System prompt defining the subagent's expertise and behavior
|
||||
```
|
||||
|
||||
### Model Selection Criteria
|
||||
|
||||
- **haiku**: Simple, deterministic tasks with minimal reasoning
|
||||
- **sonnet**: Standard development and engineering tasks
|
||||
- **opus**: Complex analysis, architecture, and critical operations
|
||||
|
||||
## Agent Orchestration Patterns
|
||||
## Multi-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
|
||||
performance-engineer + database-optimizer → Merged optimization
|
||||
```
|
||||
|
||||
### 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
|
||||
feature-development → security-auditor → performance-engineer → Validated release
|
||||
```
|
||||
|
||||
## Agent Selection Guide
|
||||
## Migration from Commands Repository
|
||||
|
||||
### 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`, `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
|
||||
This repository now includes all functionality from the separate `commands` repository. The commands repo is being deprecated in favor of this unified structure. All workflows and tools are now available in a single installation.
|
||||
|
||||
## Contributing
|
||||
|
||||
To add a new subagent:
|
||||
To add new agents, workflows, or tools:
|
||||
|
||||
1. Create a new `.md` file 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
|
||||
1. Place agent definitions in `agents/` directory
|
||||
2. Place workflow orchestrators in `workflows/` directory
|
||||
3. Place tool commands in `tools/` directory
|
||||
4. Follow existing naming conventions (lowercase, hyphen-separated)
|
||||
5. Include proper frontmatter in markdown files
|
||||
|
||||
## License
|
||||
|
||||
@@ -531,4 +272,3 @@ MIT License - see [LICENSE](LICENSE) file for details.
|
||||
- [Claude Code Documentation](https://docs.anthropic.com/en/docs/claude-code)
|
||||
- [Subagents Documentation](https://docs.anthropic.com/en/docs/claude-code/sub-agents)
|
||||
- [Claude Code GitHub](https://github.com/anthropics/claude-code)
|
||||
- [Claude Code Commands](https://github.com/wshobson/commands)
|
||||
|
||||
534
agents/README.md
Normal file
534
agents/README.md
Normal file
@@ -0,0 +1,534 @@
|
||||
# Claude Code Subagents Collection
|
||||
|
||||
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.
|
||||
|
||||
## Overview
|
||||
|
||||
This repository provides production-ready subagents that extend Claude Code's capabilities with specialized knowledge. Each subagent incorporates:
|
||||
|
||||
- Current industry best practices and standards (2024/2025)
|
||||
- Production-ready patterns and enterprise architectures
|
||||
- Deep domain expertise with 8-12 capability areas per agent
|
||||
- Modern technology stacks and frameworks
|
||||
- Optimized model selection based on task complexity
|
||||
|
||||
## Agent Categories
|
||||
|
||||
### Architecture & System Design
|
||||
|
||||
#### Core Architecture
|
||||
|
||||
| Agent | Model | Description |
|
||||
|-------|-------|-------------|
|
||||
| [backend-architect](backend-architect.md) | opus | RESTful API design, microservice boundaries, database schemas |
|
||||
| [frontend-developer](frontend-developer.md) | sonnet | React components, responsive layouts, client-side state management |
|
||||
| [graphql-architect](graphql-architect.md) | opus | GraphQL schemas, resolvers, federation architecture |
|
||||
| [architect-reviewer](architect-review.md) | opus | Architectural consistency analysis and pattern validation |
|
||||
| [cloud-architect](cloud-architect.md) | opus | AWS/Azure/GCP infrastructure design and cost optimization |
|
||||
| [hybrid-cloud-architect](hybrid-cloud-architect.md) | opus | Multi-cloud strategies across cloud and on-premises environments |
|
||||
| [kubernetes-architect](kubernetes-architect.md) | opus | Cloud-native infrastructure with Kubernetes and GitOps |
|
||||
|
||||
#### UI/UX & Mobile
|
||||
|
||||
| Agent | Model | Description |
|
||||
|-------|-------|-------------|
|
||||
| [ui-ux-designer](ui-ux-designer.md) | sonnet | Interface design, wireframes, design systems |
|
||||
| [ui-visual-validator](ui-visual-validator.md) | sonnet | Visual regression testing and UI verification |
|
||||
| [mobile-developer](mobile-developer.md) | sonnet | React Native and Flutter application development |
|
||||
| [ios-developer](ios-developer.md) | sonnet | Native iOS development with Swift/SwiftUI |
|
||||
| [flutter-expert](flutter-expert.md) | sonnet | Advanced Flutter development with state management |
|
||||
|
||||
### Programming Languages
|
||||
|
||||
#### Systems & Low-Level
|
||||
|
||||
| Agent | Model | Description |
|
||||
|-------|-------|-------------|
|
||||
| [c-pro](c-pro.md) | sonnet | System programming with memory management and OS interfaces |
|
||||
| [cpp-pro](cpp-pro.md) | sonnet | Modern C++ with RAII, smart pointers, STL algorithms |
|
||||
| [rust-pro](rust-pro.md) | sonnet | Memory-safe systems programming with ownership patterns |
|
||||
| [golang-pro](golang-pro.md) | sonnet | Concurrent programming with goroutines and channels |
|
||||
|
||||
#### Web & Application
|
||||
|
||||
| Agent | Model | Description |
|
||||
|-------|-------|-------------|
|
||||
| [javascript-pro](javascript-pro.md) | sonnet | Modern JavaScript with ES6+, async patterns, Node.js |
|
||||
| [typescript-pro](typescript-pro.md) | sonnet | Advanced TypeScript with type systems and generics |
|
||||
| [python-pro](python-pro.md) | sonnet | Python development with advanced features and optimization |
|
||||
| [ruby-pro](ruby-pro.md) | sonnet | Ruby with metaprogramming, Rails patterns, gem development |
|
||||
| [php-pro](php-pro.md) | sonnet | Modern PHP with frameworks and performance optimization |
|
||||
|
||||
#### Enterprise & JVM
|
||||
|
||||
| Agent | Model | Description |
|
||||
|-------|-------|-------------|
|
||||
| [java-pro](java-pro.md) | sonnet | Modern Java with streams, concurrency, JVM optimization |
|
||||
| [scala-pro](scala-pro.md) | sonnet | Enterprise Scala with functional programming and distributed systems |
|
||||
| [csharp-pro](csharp-pro.md) | sonnet | C# development with .NET frameworks and patterns |
|
||||
|
||||
#### Specialized Platforms
|
||||
|
||||
| Agent | Model | Description |
|
||||
|-------|-------|-------------|
|
||||
| [elixir-pro](elixir-pro.md) | sonnet | Elixir with OTP patterns and Phoenix frameworks |
|
||||
| [unity-developer](unity-developer.md) | sonnet | Unity game development and optimization |
|
||||
| [minecraft-bukkit-pro](minecraft-bukkit-pro.md) | sonnet | Minecraft server plugin development |
|
||||
| [sql-pro](sql-pro.md) | sonnet | Complex SQL queries and database optimization |
|
||||
|
||||
### Infrastructure & Operations
|
||||
|
||||
#### DevOps & Deployment
|
||||
|
||||
| Agent | Model | Description |
|
||||
|-------|-------|-------------|
|
||||
| [devops-troubleshooter](devops-troubleshooter.md) | sonnet | Production debugging, log analysis, deployment troubleshooting |
|
||||
| [deployment-engineer](deployment-engineer.md) | sonnet | CI/CD pipelines, containerization, cloud deployments |
|
||||
| [terraform-specialist](terraform-specialist.md) | opus | Infrastructure as Code with Terraform modules and state management |
|
||||
| [dx-optimizer](dx-optimizer.md) | sonnet | Developer experience optimization and tooling improvements |
|
||||
|
||||
#### Database Management
|
||||
|
||||
| Agent | Model | Description |
|
||||
|-------|-------|-------------|
|
||||
| [database-optimizer](database-optimizer.md) | opus | Query optimization, index design, migration strategies |
|
||||
| [database-admin](database-admin.md) | sonnet | Database operations, backup, replication, monitoring |
|
||||
|
||||
#### Incident Response & Network
|
||||
|
||||
| Agent | Model | Description |
|
||||
|-------|-------|-------------|
|
||||
| [incident-responder](incident-responder.md) | opus | Production incident management and resolution |
|
||||
| [network-engineer](network-engineer.md) | sonnet | Network debugging, load balancing, traffic analysis |
|
||||
|
||||
### Quality Assurance & Security
|
||||
|
||||
#### Code Quality & Review
|
||||
|
||||
| Agent | Model | Description |
|
||||
|-------|-------|-------------|
|
||||
| [code-reviewer](code-reviewer.md) | opus | Code review with security focus and production reliability |
|
||||
| [security-auditor](security-auditor.md) | opus | Vulnerability assessment and OWASP compliance |
|
||||
| [backend-security-coder](backend-security-coder.md) | opus | Secure backend coding practices, API security implementation |
|
||||
| [frontend-security-coder](frontend-security-coder.md) | opus | XSS prevention, CSP implementation, client-side security |
|
||||
| [mobile-security-coder](mobile-security-coder.md) | opus | Mobile security patterns, WebView security, biometric auth |
|
||||
| [architect-reviewer](architect-review.md) | opus | Architectural consistency and pattern validation |
|
||||
|
||||
#### Testing & Debugging
|
||||
|
||||
| Agent | Model | Description |
|
||||
|-------|-------|-------------|
|
||||
| [test-automator](test-automator.md) | sonnet | Comprehensive test suite creation (unit, integration, e2e) |
|
||||
| [tdd-orchestrator](tdd-orchestrator.md) | sonnet | Test-Driven Development methodology guidance |
|
||||
| [debugger](debugger.md) | sonnet | Error resolution and test failure analysis |
|
||||
| [error-detective](error-detective.md) | sonnet | Log analysis and error pattern recognition |
|
||||
|
||||
#### Performance & Observability
|
||||
|
||||
| Agent | Model | Description |
|
||||
|-------|-------|-------------|
|
||||
| [performance-engineer](performance-engineer.md) | opus | Application profiling and optimization |
|
||||
| [observability-engineer](observability-engineer.md) | opus | Production monitoring, distributed tracing, SLI/SLO management |
|
||||
| [search-specialist](search-specialist.md) | haiku | Advanced web research and information synthesis |
|
||||
|
||||
### Data & AI
|
||||
|
||||
#### Data Engineering & Analytics
|
||||
|
||||
| Agent | Model | Description |
|
||||
|-------|-------|-------------|
|
||||
| [data-scientist](data-scientist.md) | opus | Data analysis, SQL queries, BigQuery operations |
|
||||
| [data-engineer](data-engineer.md) | sonnet | ETL pipelines, data warehouses, streaming architectures |
|
||||
|
||||
#### Machine Learning & AI
|
||||
|
||||
| Agent | Model | Description |
|
||||
|-------|-------|-------------|
|
||||
| [ai-engineer](ai-engineer.md) | opus | LLM applications, RAG systems, prompt pipelines |
|
||||
| [ml-engineer](ml-engineer.md) | opus | ML pipelines, model serving, feature engineering |
|
||||
| [mlops-engineer](mlops-engineer.md) | opus | ML infrastructure, experiment tracking, model registries |
|
||||
| [prompt-engineer](prompt-engineer.md) | opus | LLM prompt optimization and engineering |
|
||||
|
||||
### Documentation & Technical Writing
|
||||
|
||||
| Agent | Model | Description |
|
||||
|-------|-------|-------------|
|
||||
| [docs-architect](docs-architect.md) | opus | Comprehensive technical documentation generation |
|
||||
| [api-documenter](api-documenter.md) | sonnet | OpenAPI/Swagger specifications and developer docs |
|
||||
| [reference-builder](reference-builder.md) | haiku | Technical references and API documentation |
|
||||
| [tutorial-engineer](tutorial-engineer.md) | sonnet | Step-by-step tutorials and educational content |
|
||||
| [mermaid-expert](mermaid-expert.md) | sonnet | Diagram creation (flowcharts, sequences, ERDs) |
|
||||
|
||||
### Business & Operations
|
||||
|
||||
#### Business Analysis & Finance
|
||||
|
||||
| Agent | Model | Description |
|
||||
|-------|-------|-------------|
|
||||
| [business-analyst](business-analyst.md) | sonnet | Metrics analysis, reporting, KPI tracking |
|
||||
| [quant-analyst](quant-analyst.md) | opus | Financial modeling, trading strategies, market analysis |
|
||||
| [risk-manager](risk-manager.md) | sonnet | Portfolio risk monitoring and management |
|
||||
|
||||
#### Marketing & Sales
|
||||
|
||||
| Agent | Model | Description |
|
||||
|-------|-------|-------------|
|
||||
| [content-marketer](content-marketer.md) | sonnet | Blog posts, social media, email campaigns |
|
||||
| [sales-automator](sales-automator.md) | haiku | Cold emails, follow-ups, proposal generation |
|
||||
|
||||
#### Support & Legal
|
||||
|
||||
| Agent | Model | Description |
|
||||
|-------|-------|-------------|
|
||||
| [customer-support](customer-support.md) | sonnet | Support tickets, FAQ responses, customer communication |
|
||||
| [hr-pro](hr-pro.md) | opus | HR operations, policies, employee relations |
|
||||
| [legal-advisor](legal-advisor.md) | opus | Privacy policies, terms of service, legal documentation |
|
||||
|
||||
### Specialized Domains
|
||||
|
||||
| Agent | Model | Description |
|
||||
|-------|-------|-------------|
|
||||
| [blockchain-developer](blockchain-developer.md) | sonnet | Web3 apps, smart contracts, DeFi protocols |
|
||||
| [payment-integration](payment-integration.md) | sonnet | Payment processor integration (Stripe, PayPal) |
|
||||
| [legacy-modernizer](legacy-modernizer.md) | sonnet | Legacy code refactoring and modernization |
|
||||
| [context-manager](context-manager.md) | haiku | Multi-agent context management |
|
||||
|
||||
### SEO & Content Optimization
|
||||
|
||||
| Agent | Model | Description |
|
||||
|-------|-------|-------------|
|
||||
| [seo-content-auditor](seo-content-auditor.md) | sonnet | Content quality analysis, E-E-A-T signals assessment |
|
||||
| [seo-meta-optimizer](seo-meta-optimizer.md) | haiku | Meta title and description optimization |
|
||||
| [seo-keyword-strategist](seo-keyword-strategist.md) | haiku | Keyword analysis and semantic variations |
|
||||
| [seo-structure-architect](seo-structure-architect.md) | haiku | Content structure and schema markup |
|
||||
| [seo-snippet-hunter](seo-snippet-hunter.md) | haiku | Featured snippet formatting |
|
||||
| [seo-content-refresher](seo-content-refresher.md) | haiku | Content freshness analysis |
|
||||
| [seo-cannibalization-detector](seo-cannibalization-detector.md) | haiku | Keyword overlap detection |
|
||||
| [seo-authority-builder](seo-authority-builder.md) | sonnet | E-E-A-T signal analysis |
|
||||
| [seo-content-writer](seo-content-writer.md) | sonnet | SEO-optimized content creation |
|
||||
| [seo-content-planner](seo-content-planner.md) | haiku | Content planning and topic clusters |
|
||||
|
||||
## Model Configuration
|
||||
|
||||
Agents are assigned to specific Claude models based on task complexity and computational requirements. The system uses three model tiers:
|
||||
|
||||
### Model Distribution Summary
|
||||
|
||||
| Model | Agent Count | Use Case |
|
||||
|-------|-------------|----------|
|
||||
| Haiku | 11 | Quick, focused tasks with minimal computational overhead |
|
||||
| Sonnet | 46 | Standard development and specialized engineering tasks |
|
||||
| Opus | 22 | Complex reasoning, architecture, and critical analysis |
|
||||
|
||||
### Haiku Model Agents
|
||||
|
||||
| Category | Agents |
|
||||
|----------|--------|
|
||||
| Context & Reference | `context-manager`, `reference-builder`, `sales-automator`, `search-specialist` |
|
||||
| SEO Optimization | `seo-meta-optimizer`, `seo-keyword-strategist`, `seo-structure-architect`, `seo-snippet-hunter`, `seo-content-refresher`, `seo-cannibalization-detector`, `seo-content-planner` |
|
||||
|
||||
### Sonnet Model Agents
|
||||
|
||||
| Category | Count | Agents |
|
||||
|----------|-------|--------|
|
||||
| Programming Languages | 18 | All language-specific agents (JavaScript, Python, Java, C++, etc.) |
|
||||
| Frontend & UI | 5 | `frontend-developer`, `ui-ux-designer`, `ui-visual-validator`, `mobile-developer`, `ios-developer` |
|
||||
| Infrastructure | 8 | `devops-troubleshooter`, `deployment-engineer`, `dx-optimizer`, `database-admin`, `network-engineer`, `flutter-expert`, `api-documenter`, `tutorial-engineer` |
|
||||
| Quality & Testing | 4 | `test-automator`, `tdd-orchestrator`, `debugger`, `error-detective` |
|
||||
| Business & Support | 6 | `business-analyst`, `risk-manager`, `content-marketer`, `customer-support`, `mermaid-expert`, `legacy-modernizer` |
|
||||
| Data & Content | 5 | `data-engineer`, `payment-integration`, `seo-content-auditor`, `seo-authority-builder`, `seo-content-writer` |
|
||||
|
||||
### Opus Model Agents
|
||||
|
||||
| Category | Count | Agents |
|
||||
|----------|-------|--------|
|
||||
| Architecture & Design | 7 | `architect-reviewer`, `backend-architect`, `cloud-architect`, `hybrid-cloud-architect`, `kubernetes-architect`, `graphql-architect`, `terraform-specialist` |
|
||||
| Critical Analysis | 6 | `code-reviewer`, `security-auditor`, `performance-engineer`, `observability-engineer`, `incident-responder`, `database-optimizer` |
|
||||
| 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` |
|
||||
|
||||
## Installation
|
||||
|
||||
Clone the repository to the Claude agents directory:
|
||||
|
||||
```bash
|
||||
cd ~/.claude
|
||||
git clone https://github.com/wshobson/agents.git
|
||||
```
|
||||
|
||||
The subagents will be automatically available to Claude Code once placed in the `~/.claude/agents/` directory.
|
||||
|
||||
## 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
|
||||
```
|
||||
|
||||
### Integration with Claude Code Commands
|
||||
|
||||
For sophisticated multi-agent orchestration, use the [Claude Code Commands](https://github.com/wshobson/commands) collection which provides 52 pre-built slash commands:
|
||||
|
||||
```
|
||||
/full-stack-feature # Coordinates 8+ agents for complete feature development
|
||||
/incident-response # Activates incident management workflow
|
||||
/ml-pipeline # Sets up end-to-end ML infrastructure
|
||||
/security-hardening # Implements security best practices across stack
|
||||
```
|
||||
|
||||
## Subagent Format
|
||||
|
||||
Each subagent is defined as a Markdown file with frontmatter:
|
||||
|
||||
```markdown
|
||||
---
|
||||
name: subagent-name
|
||||
description: Activation criteria for this subagent
|
||||
model: haiku|sonnet|opus # Optional: Model selection
|
||||
tools: tool1, tool2 # Optional: Tool restrictions
|
||||
---
|
||||
|
||||
System prompt defining the subagent's expertise and behavior
|
||||
```
|
||||
|
||||
### Model Selection Criteria
|
||||
|
||||
- **haiku**: Simple, deterministic tasks with minimal reasoning
|
||||
- **sonnet**: Standard development and engineering tasks
|
||||
- **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`, `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 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
|
||||
|
||||
MIT License - see [LICENSE](LICENSE) file for details.
|
||||
|
||||
## Resources
|
||||
|
||||
- [Claude Code Documentation](https://docs.anthropic.com/en/docs/claude-code)
|
||||
- [Subagents Documentation](https://docs.anthropic.com/en/docs/claude-code/sub-agents)
|
||||
- [Claude Code GitHub](https://github.com/anthropics/claude-code)
|
||||
- [Claude Code Commands](https://github.com/wshobson/commands)
|
||||
1234
tools/accessibility-audit.md
Normal file
1234
tools/accessibility-audit.md
Normal file
File diff suppressed because it is too large
Load Diff
1236
tools/ai-assistant.md
Normal file
1236
tools/ai-assistant.md
Normal file
File diff suppressed because it is too large
Load Diff
67
tools/ai-review.md
Normal file
67
tools/ai-review.md
Normal file
@@ -0,0 +1,67 @@
|
||||
---
|
||||
model: claude-sonnet-4-0
|
||||
---
|
||||
|
||||
# AI/ML Code Review
|
||||
|
||||
Perform a specialized AI/ML code review for: $ARGUMENTS
|
||||
|
||||
Conduct comprehensive review focusing on:
|
||||
|
||||
1. **Model Code Quality**:
|
||||
- Reproducibility checks
|
||||
- Random seed management
|
||||
- Data leakage detection
|
||||
- Train/test split validation
|
||||
- Feature engineering clarity
|
||||
|
||||
2. **AI Best Practices**:
|
||||
- Prompt injection prevention
|
||||
- Token limit handling
|
||||
- Cost optimization
|
||||
- Fallback strategies
|
||||
- Timeout management
|
||||
|
||||
3. **Data Handling**:
|
||||
- Privacy compliance (PII handling)
|
||||
- Data versioning
|
||||
- Preprocessing consistency
|
||||
- Batch processing efficiency
|
||||
- Memory optimization
|
||||
|
||||
4. **Model Management**:
|
||||
- Version control for models
|
||||
- A/B testing setup
|
||||
- Rollback capabilities
|
||||
- Performance benchmarks
|
||||
- Drift detection
|
||||
|
||||
5. **LLM-Specific Checks**:
|
||||
- Context window management
|
||||
- Prompt template security
|
||||
- Response validation
|
||||
- Streaming implementation
|
||||
- Rate limit handling
|
||||
|
||||
6. **Vector Database Review**:
|
||||
- Embedding consistency
|
||||
- Index optimization
|
||||
- Query performance
|
||||
- Metadata management
|
||||
- Backup strategies
|
||||
|
||||
7. **Production Readiness**:
|
||||
- GPU/CPU optimization
|
||||
- Batching strategies
|
||||
- Caching implementation
|
||||
- Monitoring hooks
|
||||
- Error recovery
|
||||
|
||||
8. **Testing Coverage**:
|
||||
- Unit tests for preprocessing
|
||||
- Integration tests for pipelines
|
||||
- Model performance tests
|
||||
- Edge case handling
|
||||
- Mocked LLM responses
|
||||
|
||||
Provide specific recommendations with severity levels (Critical/High/Medium/Low). Include code examples for improvements and links to relevant best practices.
|
||||
1324
tools/api-mock.md
Normal file
1324
tools/api-mock.md
Normal file
File diff suppressed because it is too large
Load Diff
1776
tools/api-scaffold.md
Normal file
1776
tools/api-scaffold.md
Normal file
File diff suppressed because it is too large
Load Diff
812
tools/code-explain.md
Normal file
812
tools/code-explain.md
Normal file
@@ -0,0 +1,812 @@
|
||||
---
|
||||
model: claude-sonnet-4-0
|
||||
---
|
||||
|
||||
# Code Explanation and Analysis
|
||||
|
||||
You are a code education expert specializing in explaining complex code through clear narratives, visual diagrams, and step-by-step breakdowns. Transform difficult concepts into understandable explanations for developers at all levels.
|
||||
|
||||
## Context
|
||||
The user needs help understanding complex code sections, algorithms, design patterns, or system architectures. Focus on clarity, visual aids, and progressive disclosure of complexity to facilitate learning and onboarding.
|
||||
|
||||
## Requirements
|
||||
$ARGUMENTS
|
||||
|
||||
## Instructions
|
||||
|
||||
### 1. Code Comprehension Analysis
|
||||
|
||||
Analyze the code to determine complexity and structure:
|
||||
|
||||
**Code Complexity Assessment**
|
||||
```python
|
||||
import ast
|
||||
import re
|
||||
from typing import Dict, List, Tuple
|
||||
|
||||
class CodeAnalyzer:
|
||||
def analyze_complexity(self, code: str) -> Dict:
|
||||
"""
|
||||
Analyze code complexity and structure
|
||||
"""
|
||||
analysis = {
|
||||
'complexity_score': 0,
|
||||
'concepts': [],
|
||||
'patterns': [],
|
||||
'dependencies': [],
|
||||
'difficulty_level': 'beginner'
|
||||
}
|
||||
|
||||
# Parse code structure
|
||||
try:
|
||||
tree = ast.parse(code)
|
||||
|
||||
# Analyze complexity metrics
|
||||
analysis['metrics'] = {
|
||||
'lines_of_code': len(code.splitlines()),
|
||||
'cyclomatic_complexity': self._calculate_cyclomatic_complexity(tree),
|
||||
'nesting_depth': self._calculate_max_nesting(tree),
|
||||
'function_count': len([n for n in ast.walk(tree) if isinstance(n, ast.FunctionDef)]),
|
||||
'class_count': len([n for n in ast.walk(tree) if isinstance(n, ast.ClassDef)])
|
||||
}
|
||||
|
||||
# Identify concepts used
|
||||
analysis['concepts'] = self._identify_concepts(tree)
|
||||
|
||||
# Detect design patterns
|
||||
analysis['patterns'] = self._detect_patterns(tree)
|
||||
|
||||
# Extract dependencies
|
||||
analysis['dependencies'] = self._extract_dependencies(tree)
|
||||
|
||||
# Determine difficulty level
|
||||
analysis['difficulty_level'] = self._assess_difficulty(analysis)
|
||||
|
||||
except SyntaxError as e:
|
||||
analysis['parse_error'] = str(e)
|
||||
|
||||
return analysis
|
||||
|
||||
def _identify_concepts(self, tree) -> List[str]:
|
||||
"""
|
||||
Identify programming concepts used in the code
|
||||
"""
|
||||
concepts = []
|
||||
|
||||
for node in ast.walk(tree):
|
||||
# Async/await
|
||||
if isinstance(node, (ast.AsyncFunctionDef, ast.AsyncWith, ast.AsyncFor)):
|
||||
concepts.append('asynchronous programming')
|
||||
|
||||
# Decorators
|
||||
elif isinstance(node, ast.FunctionDef) and node.decorator_list:
|
||||
concepts.append('decorators')
|
||||
|
||||
# Context managers
|
||||
elif isinstance(node, ast.With):
|
||||
concepts.append('context managers')
|
||||
|
||||
# Generators
|
||||
elif isinstance(node, ast.Yield):
|
||||
concepts.append('generators')
|
||||
|
||||
# List/Dict/Set comprehensions
|
||||
elif isinstance(node, (ast.ListComp, ast.DictComp, ast.SetComp)):
|
||||
concepts.append('comprehensions')
|
||||
|
||||
# Lambda functions
|
||||
elif isinstance(node, ast.Lambda):
|
||||
concepts.append('lambda functions')
|
||||
|
||||
# Exception handling
|
||||
elif isinstance(node, ast.Try):
|
||||
concepts.append('exception handling')
|
||||
|
||||
return list(set(concepts))
|
||||
```
|
||||
|
||||
### 2. Visual Explanation Generation
|
||||
|
||||
Create visual representations of code flow:
|
||||
|
||||
**Flow Diagram Generation**
|
||||
```python
|
||||
class VisualExplainer:
|
||||
def generate_flow_diagram(self, code_structure):
|
||||
"""
|
||||
Generate Mermaid diagram showing code flow
|
||||
"""
|
||||
diagram = "```mermaid\nflowchart TD\n"
|
||||
|
||||
# Example: Function call flow
|
||||
if code_structure['type'] == 'function_flow':
|
||||
nodes = []
|
||||
edges = []
|
||||
|
||||
for i, func in enumerate(code_structure['functions']):
|
||||
node_id = f"F{i}"
|
||||
nodes.append(f" {node_id}[{func['name']}]")
|
||||
|
||||
# Add function details
|
||||
if func.get('parameters'):
|
||||
nodes.append(f" {node_id}_params[/{', '.join(func['parameters'])}/]")
|
||||
edges.append(f" {node_id}_params --> {node_id}")
|
||||
|
||||
# Add return value
|
||||
if func.get('returns'):
|
||||
nodes.append(f" {node_id}_return[{func['returns']}]")
|
||||
edges.append(f" {node_id} --> {node_id}_return")
|
||||
|
||||
# Connect to called functions
|
||||
for called in func.get('calls', []):
|
||||
called_id = f"F{code_structure['function_map'][called]}"
|
||||
edges.append(f" {node_id} --> {called_id}")
|
||||
|
||||
diagram += "\n".join(nodes) + "\n"
|
||||
diagram += "\n".join(edges) + "\n"
|
||||
|
||||
diagram += "```"
|
||||
return diagram
|
||||
|
||||
def generate_class_diagram(self, classes):
|
||||
"""
|
||||
Generate UML-style class diagram
|
||||
"""
|
||||
diagram = "```mermaid\nclassDiagram\n"
|
||||
|
||||
for cls in classes:
|
||||
# Class definition
|
||||
diagram += f" class {cls['name']} {{\n"
|
||||
|
||||
# Attributes
|
||||
for attr in cls.get('attributes', []):
|
||||
visibility = '+' if attr['public'] else '-'
|
||||
diagram += f" {visibility}{attr['name']} : {attr['type']}\n"
|
||||
|
||||
# Methods
|
||||
for method in cls.get('methods', []):
|
||||
visibility = '+' if method['public'] else '-'
|
||||
params = ', '.join(method.get('params', []))
|
||||
diagram += f" {visibility}{method['name']}({params}) : {method['returns']}\n"
|
||||
|
||||
diagram += " }\n"
|
||||
|
||||
# Relationships
|
||||
if cls.get('inherits'):
|
||||
diagram += f" {cls['inherits']} <|-- {cls['name']}\n"
|
||||
|
||||
for composition in cls.get('compositions', []):
|
||||
diagram += f" {cls['name']} *-- {composition}\n"
|
||||
|
||||
diagram += "```"
|
||||
return diagram
|
||||
```
|
||||
|
||||
### 3. Step-by-Step Explanation
|
||||
|
||||
Break down complex code into digestible steps:
|
||||
|
||||
**Progressive Explanation**
|
||||
```python
|
||||
def generate_step_by_step_explanation(self, code, analysis):
|
||||
"""
|
||||
Create progressive explanation from simple to complex
|
||||
"""
|
||||
explanation = {
|
||||
'overview': self._generate_overview(code, analysis),
|
||||
'steps': [],
|
||||
'deep_dive': [],
|
||||
'examples': []
|
||||
}
|
||||
|
||||
# Level 1: High-level overview
|
||||
explanation['overview'] = f"""
|
||||
## What This Code Does
|
||||
|
||||
{self._summarize_purpose(code, analysis)}
|
||||
|
||||
**Key Concepts**: {', '.join(analysis['concepts'])}
|
||||
**Difficulty Level**: {analysis['difficulty_level'].capitalize()}
|
||||
"""
|
||||
|
||||
# Level 2: Step-by-step breakdown
|
||||
if analysis.get('functions'):
|
||||
for i, func in enumerate(analysis['functions']):
|
||||
step = f"""
|
||||
### Step {i+1}: {func['name']}
|
||||
|
||||
**Purpose**: {self._explain_function_purpose(func)}
|
||||
|
||||
**How it works**:
|
||||
"""
|
||||
# Break down function logic
|
||||
for j, logic_step in enumerate(self._analyze_function_logic(func)):
|
||||
step += f"{j+1}. {logic_step}\n"
|
||||
|
||||
# Add visual flow if complex
|
||||
if func['complexity'] > 5:
|
||||
step += f"\n{self._generate_function_flow(func)}\n"
|
||||
|
||||
explanation['steps'].append(step)
|
||||
|
||||
# Level 3: Deep dive into complex parts
|
||||
for concept in analysis['concepts']:
|
||||
deep_dive = self._explain_concept(concept, code)
|
||||
explanation['deep_dive'].append(deep_dive)
|
||||
|
||||
return explanation
|
||||
|
||||
def _explain_concept(self, concept, code):
|
||||
"""
|
||||
Explain programming concept with examples
|
||||
"""
|
||||
explanations = {
|
||||
'decorators': '''
|
||||
## Understanding Decorators
|
||||
|
||||
Decorators are a way to modify or enhance functions without changing their code directly.
|
||||
|
||||
**Simple Analogy**: Think of a decorator like gift wrapping - it adds something extra around the original item.
|
||||
|
||||
**How it works**:
|
||||
```python
|
||||
# This decorator:
|
||||
@timer
|
||||
def slow_function():
|
||||
time.sleep(1)
|
||||
|
||||
# Is equivalent to:
|
||||
def slow_function():
|
||||
time.sleep(1)
|
||||
slow_function = timer(slow_function)
|
||||
```
|
||||
|
||||
**In this code**: The decorator is used to {specific_use_in_code}
|
||||
''',
|
||||
'generators': '''
|
||||
## Understanding Generators
|
||||
|
||||
Generators produce values one at a time, saving memory by not creating all values at once.
|
||||
|
||||
**Simple Analogy**: Like a ticket dispenser that gives one ticket at a time, rather than printing all tickets upfront.
|
||||
|
||||
**How it works**:
|
||||
```python
|
||||
# Generator function
|
||||
def count_up_to(n):
|
||||
i = 0
|
||||
while i < n:
|
||||
yield i # Produces one value and pauses
|
||||
i += 1
|
||||
|
||||
# Using the generator
|
||||
for num in count_up_to(5):
|
||||
print(num) # Prints 0, 1, 2, 3, 4
|
||||
```
|
||||
|
||||
**In this code**: The generator is used to {specific_use_in_code}
|
||||
'''
|
||||
}
|
||||
|
||||
return explanations.get(concept, f"Explanation for {concept}")
|
||||
```
|
||||
|
||||
### 4. Algorithm Visualization
|
||||
|
||||
Visualize algorithm execution:
|
||||
|
||||
**Algorithm Step Visualization**
|
||||
```python
|
||||
class AlgorithmVisualizer:
|
||||
def visualize_sorting_algorithm(self, algorithm_name, array):
|
||||
"""
|
||||
Create step-by-step visualization of sorting algorithm
|
||||
"""
|
||||
steps = []
|
||||
|
||||
if algorithm_name == 'bubble_sort':
|
||||
steps.append("""
|
||||
## Bubble Sort Visualization
|
||||
|
||||
**Initial Array**: [5, 2, 8, 1, 9]
|
||||
|
||||
### How Bubble Sort Works:
|
||||
1. Compare adjacent elements
|
||||
2. Swap if they're in wrong order
|
||||
3. Repeat until no swaps needed
|
||||
|
||||
### Step-by-Step Execution:
|
||||
""")
|
||||
|
||||
# Simulate bubble sort with visualization
|
||||
arr = array.copy()
|
||||
n = len(arr)
|
||||
|
||||
for i in range(n):
|
||||
swapped = False
|
||||
step_viz = f"\n**Pass {i+1}**:\n"
|
||||
|
||||
for j in range(0, n-i-1):
|
||||
# Show comparison
|
||||
step_viz += f"Compare [{arr[j]}] and [{arr[j+1]}]: "
|
||||
|
||||
if arr[j] > arr[j+1]:
|
||||
arr[j], arr[j+1] = arr[j+1], arr[j]
|
||||
step_viz += f"Swap → {arr}\n"
|
||||
swapped = True
|
||||
else:
|
||||
step_viz += "No swap needed\n"
|
||||
|
||||
steps.append(step_viz)
|
||||
|
||||
if not swapped:
|
||||
steps.append(f"\n✅ Array is sorted: {arr}")
|
||||
break
|
||||
|
||||
return '\n'.join(steps)
|
||||
|
||||
def visualize_recursion(self, func_name, example_input):
|
||||
"""
|
||||
Visualize recursive function calls
|
||||
"""
|
||||
viz = f"""
|
||||
## Recursion Visualization: {func_name}
|
||||
|
||||
### Call Stack Visualization:
|
||||
```
|
||||
{func_name}({example_input})
|
||||
│
|
||||
├─> Base case check: {example_input} == 0? No
|
||||
├─> Recursive call: {func_name}({example_input - 1})
|
||||
│ │
|
||||
│ ├─> Base case check: {example_input - 1} == 0? No
|
||||
│ ├─> Recursive call: {func_name}({example_input - 2})
|
||||
│ │ │
|
||||
│ │ ├─> Base case check: 1 == 0? No
|
||||
│ │ ├─> Recursive call: {func_name}(0)
|
||||
│ │ │ │
|
||||
│ │ │ └─> Base case: Return 1
|
||||
│ │ │
|
||||
│ │ └─> Return: 1 * 1 = 1
|
||||
│ │
|
||||
│ └─> Return: 2 * 1 = 2
|
||||
│
|
||||
└─> Return: 3 * 2 = 6
|
||||
```
|
||||
|
||||
**Final Result**: {func_name}({example_input}) = 6
|
||||
"""
|
||||
return viz
|
||||
```
|
||||
|
||||
### 5. Interactive Examples
|
||||
|
||||
Generate interactive examples for better understanding:
|
||||
|
||||
**Code Playground Examples**
|
||||
```python
|
||||
def generate_interactive_examples(self, concept):
|
||||
"""
|
||||
Create runnable examples for concepts
|
||||
"""
|
||||
examples = {
|
||||
'error_handling': '''
|
||||
## Try It Yourself: Error Handling
|
||||
|
||||
### Example 1: Basic Try-Except
|
||||
```python
|
||||
def safe_divide(a, b):
|
||||
try:
|
||||
result = a / b
|
||||
print(f"{a} / {b} = {result}")
|
||||
return result
|
||||
except ZeroDivisionError:
|
||||
print("Error: Cannot divide by zero!")
|
||||
return None
|
||||
except TypeError:
|
||||
print("Error: Please provide numbers only!")
|
||||
return None
|
||||
finally:
|
||||
print("Division attempt completed")
|
||||
|
||||
# Test cases - try these:
|
||||
safe_divide(10, 2) # Success case
|
||||
safe_divide(10, 0) # Division by zero
|
||||
safe_divide(10, "2") # Type error
|
||||
```
|
||||
|
||||
### Example 2: Custom Exceptions
|
||||
```python
|
||||
class ValidationError(Exception):
|
||||
"""Custom exception for validation errors"""
|
||||
pass
|
||||
|
||||
def validate_age(age):
|
||||
try:
|
||||
age = int(age)
|
||||
if age < 0:
|
||||
raise ValidationError("Age cannot be negative")
|
||||
if age > 150:
|
||||
raise ValidationError("Age seems unrealistic")
|
||||
return age
|
||||
except ValueError:
|
||||
raise ValidationError("Age must be a number")
|
||||
|
||||
# Try these examples:
|
||||
try:
|
||||
validate_age(25) # Valid
|
||||
validate_age(-5) # Negative age
|
||||
validate_age("abc") # Not a number
|
||||
except ValidationError as e:
|
||||
print(f"Validation failed: {e}")
|
||||
```
|
||||
|
||||
### Exercise: Implement Your Own
|
||||
Try implementing a function that:
|
||||
1. Takes a list of numbers
|
||||
2. Returns their average
|
||||
3. Handles empty lists
|
||||
4. Handles non-numeric values
|
||||
5. Uses appropriate exception handling
|
||||
''',
|
||||
'async_programming': '''
|
||||
## Try It Yourself: Async Programming
|
||||
|
||||
### Example 1: Basic Async/Await
|
||||
```python
|
||||
import asyncio
|
||||
import time
|
||||
|
||||
async def slow_operation(name, duration):
|
||||
print(f"{name} started...")
|
||||
await asyncio.sleep(duration)
|
||||
print(f"{name} completed after {duration}s")
|
||||
return f"{name} result"
|
||||
|
||||
async def main():
|
||||
# Sequential execution (slow)
|
||||
start = time.time()
|
||||
await slow_operation("Task 1", 2)
|
||||
await slow_operation("Task 2", 2)
|
||||
print(f"Sequential time: {time.time() - start:.2f}s")
|
||||
|
||||
# Concurrent execution (fast)
|
||||
start = time.time()
|
||||
results = await asyncio.gather(
|
||||
slow_operation("Task 3", 2),
|
||||
slow_operation("Task 4", 2)
|
||||
)
|
||||
print(f"Concurrent time: {time.time() - start:.2f}s")
|
||||
print(f"Results: {results}")
|
||||
|
||||
# Run it:
|
||||
asyncio.run(main())
|
||||
```
|
||||
|
||||
### Example 2: Real-world Async Pattern
|
||||
```python
|
||||
async def fetch_data(url):
|
||||
"""Simulate API call"""
|
||||
await asyncio.sleep(1) # Simulate network delay
|
||||
return f"Data from {url}"
|
||||
|
||||
async def process_urls(urls):
|
||||
tasks = [fetch_data(url) for url in urls]
|
||||
results = await asyncio.gather(*tasks)
|
||||
return results
|
||||
|
||||
# Try with different URLs:
|
||||
urls = ["api.example.com/1", "api.example.com/2", "api.example.com/3"]
|
||||
results = asyncio.run(process_urls(urls))
|
||||
print(results)
|
||||
```
|
||||
'''
|
||||
}
|
||||
|
||||
return examples.get(concept, "No example available")
|
||||
```
|
||||
|
||||
### 6. Design Pattern Explanation
|
||||
|
||||
Explain design patterns found in code:
|
||||
|
||||
**Pattern Recognition and Explanation**
|
||||
```python
|
||||
class DesignPatternExplainer:
|
||||
def explain_pattern(self, pattern_name, code_example):
|
||||
"""
|
||||
Explain design pattern with diagrams and examples
|
||||
"""
|
||||
patterns = {
|
||||
'singleton': '''
|
||||
## Singleton Pattern
|
||||
|
||||
### What is it?
|
||||
The Singleton pattern ensures a class has only one instance and provides global access to it.
|
||||
|
||||
### When to use it?
|
||||
- Database connections
|
||||
- Configuration managers
|
||||
- Logging services
|
||||
- Cache managers
|
||||
|
||||
### Visual Representation:
|
||||
```mermaid
|
||||
classDiagram
|
||||
class Singleton {
|
||||
-instance: Singleton
|
||||
-__init__()
|
||||
+getInstance(): Singleton
|
||||
}
|
||||
Singleton --> Singleton : returns same instance
|
||||
```
|
||||
|
||||
### Implementation in this code:
|
||||
{code_analysis}
|
||||
|
||||
### Benefits:
|
||||
✅ Controlled access to single instance
|
||||
✅ Reduced namespace pollution
|
||||
✅ Permits refinement of operations
|
||||
|
||||
### Drawbacks:
|
||||
❌ Can make unit testing difficult
|
||||
❌ Violates Single Responsibility Principle
|
||||
❌ Can hide dependencies
|
||||
|
||||
### Alternative Approaches:
|
||||
1. Dependency Injection
|
||||
2. Module-level singleton
|
||||
3. Borg pattern
|
||||
''',
|
||||
'observer': '''
|
||||
## Observer Pattern
|
||||
|
||||
### What is it?
|
||||
The Observer pattern defines a one-to-many dependency between objects so that when one object changes state, all dependents are notified.
|
||||
|
||||
### When to use it?
|
||||
- Event handling systems
|
||||
- Model-View architectures
|
||||
- Distributed event handling
|
||||
|
||||
### Visual Representation:
|
||||
```mermaid
|
||||
classDiagram
|
||||
class Subject {
|
||||
+attach(Observer)
|
||||
+detach(Observer)
|
||||
+notify()
|
||||
}
|
||||
class Observer {
|
||||
+update()
|
||||
}
|
||||
class ConcreteSubject {
|
||||
-state
|
||||
+getState()
|
||||
+setState()
|
||||
}
|
||||
class ConcreteObserver {
|
||||
-subject
|
||||
+update()
|
||||
}
|
||||
Subject <|-- ConcreteSubject
|
||||
Observer <|-- ConcreteObserver
|
||||
ConcreteSubject --> Observer : notifies
|
||||
ConcreteObserver --> ConcreteSubject : observes
|
||||
```
|
||||
|
||||
### Implementation in this code:
|
||||
{code_analysis}
|
||||
|
||||
### Real-world Example:
|
||||
```python
|
||||
# Newsletter subscription system
|
||||
class Newsletter:
|
||||
def __init__(self):
|
||||
self._subscribers = []
|
||||
self._latest_article = None
|
||||
|
||||
def subscribe(self, subscriber):
|
||||
self._subscribers.append(subscriber)
|
||||
|
||||
def unsubscribe(self, subscriber):
|
||||
self._subscribers.remove(subscriber)
|
||||
|
||||
def publish_article(self, article):
|
||||
self._latest_article = article
|
||||
self._notify_subscribers()
|
||||
|
||||
def _notify_subscribers(self):
|
||||
for subscriber in self._subscribers:
|
||||
subscriber.update(self._latest_article)
|
||||
|
||||
class EmailSubscriber:
|
||||
def __init__(self, email):
|
||||
self.email = email
|
||||
|
||||
def update(self, article):
|
||||
print(f"Sending email to {self.email}: New article - {article}")
|
||||
```
|
||||
'''
|
||||
}
|
||||
|
||||
return patterns.get(pattern_name, "Pattern explanation not available")
|
||||
```
|
||||
|
||||
### 7. Common Pitfalls and Best Practices
|
||||
|
||||
Highlight potential issues and improvements:
|
||||
|
||||
**Code Review Insights**
|
||||
```python
|
||||
def analyze_common_pitfalls(self, code):
|
||||
"""
|
||||
Identify common mistakes and suggest improvements
|
||||
"""
|
||||
issues = []
|
||||
|
||||
# Check for common Python pitfalls
|
||||
pitfall_patterns = [
|
||||
{
|
||||
'pattern': r'except:',
|
||||
'issue': 'Bare except clause',
|
||||
'severity': 'high',
|
||||
'explanation': '''
|
||||
## ⚠️ Bare Except Clause
|
||||
|
||||
**Problem**: `except:` catches ALL exceptions, including system exits and keyboard interrupts.
|
||||
|
||||
**Why it's bad**:
|
||||
- Hides programming errors
|
||||
- Makes debugging difficult
|
||||
- Can catch exceptions you didn't intend to handle
|
||||
|
||||
**Better approach**:
|
||||
```python
|
||||
# Bad
|
||||
try:
|
||||
risky_operation()
|
||||
except:
|
||||
print("Something went wrong")
|
||||
|
||||
# Good
|
||||
try:
|
||||
risky_operation()
|
||||
except (ValueError, TypeError) as e:
|
||||
print(f"Expected error: {e}")
|
||||
except Exception as e:
|
||||
logger.error(f"Unexpected error: {e}")
|
||||
raise
|
||||
```
|
||||
'''
|
||||
},
|
||||
{
|
||||
'pattern': r'def.*\(\s*\):.*global',
|
||||
'issue': 'Global variable usage',
|
||||
'severity': 'medium',
|
||||
'explanation': '''
|
||||
## ⚠️ Global Variable Usage
|
||||
|
||||
**Problem**: Using global variables makes code harder to test and reason about.
|
||||
|
||||
**Better approaches**:
|
||||
1. Pass as parameter
|
||||
2. Use class attributes
|
||||
3. Use dependency injection
|
||||
4. Return values instead
|
||||
|
||||
**Example refactor**:
|
||||
```python
|
||||
# Bad
|
||||
count = 0
|
||||
def increment():
|
||||
global count
|
||||
count += 1
|
||||
|
||||
# Good
|
||||
class Counter:
|
||||
def __init__(self):
|
||||
self.count = 0
|
||||
|
||||
def increment(self):
|
||||
self.count += 1
|
||||
return self.count
|
||||
```
|
||||
'''
|
||||
}
|
||||
]
|
||||
|
||||
for pitfall in pitfall_patterns:
|
||||
if re.search(pitfall['pattern'], code):
|
||||
issues.append(pitfall)
|
||||
|
||||
return issues
|
||||
```
|
||||
|
||||
### 8. Learning Path Recommendations
|
||||
|
||||
Suggest resources for deeper understanding:
|
||||
|
||||
**Personalized Learning Path**
|
||||
```python
|
||||
def generate_learning_path(self, analysis):
|
||||
"""
|
||||
Create personalized learning recommendations
|
||||
"""
|
||||
learning_path = {
|
||||
'current_level': analysis['difficulty_level'],
|
||||
'identified_gaps': [],
|
||||
'recommended_topics': [],
|
||||
'resources': []
|
||||
}
|
||||
|
||||
# Identify knowledge gaps
|
||||
if 'async' in analysis['concepts'] and analysis['difficulty_level'] == 'beginner':
|
||||
learning_path['identified_gaps'].append('Asynchronous programming fundamentals')
|
||||
learning_path['recommended_topics'].extend([
|
||||
'Event loops',
|
||||
'Coroutines vs threads',
|
||||
'Async/await syntax',
|
||||
'Concurrent programming patterns'
|
||||
])
|
||||
|
||||
# Add resources
|
||||
learning_path['resources'] = [
|
||||
{
|
||||
'topic': 'Async Programming',
|
||||
'type': 'tutorial',
|
||||
'title': 'Async IO in Python: A Complete Walkthrough',
|
||||
'url': 'https://realpython.com/async-io-python/',
|
||||
'difficulty': 'intermediate',
|
||||
'time_estimate': '45 minutes'
|
||||
},
|
||||
{
|
||||
'topic': 'Design Patterns',
|
||||
'type': 'book',
|
||||
'title': 'Head First Design Patterns',
|
||||
'difficulty': 'beginner-friendly',
|
||||
'format': 'visual learning'
|
||||
}
|
||||
]
|
||||
|
||||
# Create structured learning plan
|
||||
learning_path['structured_plan'] = f"""
|
||||
## Your Personalized Learning Path
|
||||
|
||||
### Week 1-2: Fundamentals
|
||||
- Review basic concepts: {', '.join(learning_path['recommended_topics'][:2])}
|
||||
- Complete exercises on each topic
|
||||
- Build a small project using these concepts
|
||||
|
||||
### Week 3-4: Applied Learning
|
||||
- Study the patterns in this codebase
|
||||
- Refactor a simple version yourself
|
||||
- Compare your approach with the original
|
||||
|
||||
### Week 5-6: Advanced Topics
|
||||
- Explore edge cases and optimizations
|
||||
- Learn about alternative approaches
|
||||
- Contribute to open source projects using these patterns
|
||||
|
||||
### Practice Projects:
|
||||
1. **Beginner**: {self._suggest_beginner_project(analysis)}
|
||||
2. **Intermediate**: {self._suggest_intermediate_project(analysis)}
|
||||
3. **Advanced**: {self._suggest_advanced_project(analysis)}
|
||||
"""
|
||||
|
||||
return learning_path
|
||||
```
|
||||
|
||||
## Output Format
|
||||
|
||||
1. **Complexity Analysis**: Overview of code complexity and concepts used
|
||||
2. **Visual Diagrams**: Flow charts, class diagrams, and execution visualizations
|
||||
3. **Step-by-Step Breakdown**: Progressive explanation from simple to complex
|
||||
4. **Interactive Examples**: Runnable code samples to experiment with
|
||||
5. **Common Pitfalls**: Issues to avoid with explanations
|
||||
6. **Best Practices**: Improved approaches and patterns
|
||||
7. **Learning Resources**: Curated resources for deeper understanding
|
||||
8. **Practice Exercises**: Hands-on challenges to reinforce learning
|
||||
|
||||
Focus on making complex code accessible through clear explanations, visual aids, and practical examples that build understanding progressively.
|
||||
1052
tools/code-migrate.md
Normal file
1052
tools/code-migrate.md
Normal file
File diff suppressed because it is too large
Load Diff
946
tools/compliance-check.md
Normal file
946
tools/compliance-check.md
Normal file
@@ -0,0 +1,946 @@
|
||||
---
|
||||
model: claude-sonnet-4-0
|
||||
---
|
||||
|
||||
# Regulatory Compliance Check
|
||||
|
||||
You are a compliance expert specializing in regulatory requirements for software systems including GDPR, HIPAA, SOC2, PCI-DSS, and other industry standards. Perform comprehensive compliance audits and provide implementation guidance for achieving and maintaining compliance.
|
||||
|
||||
## Context
|
||||
The user needs to ensure their application meets regulatory requirements and industry standards. Focus on practical implementation of compliance controls, automated monitoring, and audit trail generation.
|
||||
|
||||
## Requirements
|
||||
$ARGUMENTS
|
||||
|
||||
## Instructions
|
||||
|
||||
### 1. Compliance Framework Analysis
|
||||
|
||||
Identify applicable regulations and standards:
|
||||
|
||||
**Regulatory Mapping**
|
||||
```python
|
||||
class ComplianceAnalyzer:
|
||||
def __init__(self):
|
||||
self.regulations = {
|
||||
'GDPR': {
|
||||
'scope': 'EU data protection',
|
||||
'applies_if': [
|
||||
'Processing EU residents data',
|
||||
'Offering goods/services to EU',
|
||||
'Monitoring EU residents behavior'
|
||||
],
|
||||
'key_requirements': [
|
||||
'Privacy by design',
|
||||
'Data minimization',
|
||||
'Right to erasure',
|
||||
'Data portability',
|
||||
'Consent management',
|
||||
'DPO appointment',
|
||||
'Privacy notices',
|
||||
'Data breach notification (72hrs)'
|
||||
]
|
||||
},
|
||||
'HIPAA': {
|
||||
'scope': 'Healthcare data protection (US)',
|
||||
'applies_if': [
|
||||
'Healthcare providers',
|
||||
'Health plan providers',
|
||||
'Healthcare clearinghouses',
|
||||
'Business associates'
|
||||
],
|
||||
'key_requirements': [
|
||||
'PHI encryption',
|
||||
'Access controls',
|
||||
'Audit logs',
|
||||
'Business Associate Agreements',
|
||||
'Risk assessments',
|
||||
'Employee training',
|
||||
'Incident response',
|
||||
'Physical safeguards'
|
||||
]
|
||||
},
|
||||
'SOC2': {
|
||||
'scope': 'Service organization controls',
|
||||
'applies_if': [
|
||||
'SaaS providers',
|
||||
'Data processors',
|
||||
'Cloud services'
|
||||
],
|
||||
'trust_principles': [
|
||||
'Security',
|
||||
'Availability',
|
||||
'Processing integrity',
|
||||
'Confidentiality',
|
||||
'Privacy'
|
||||
]
|
||||
},
|
||||
'PCI-DSS': {
|
||||
'scope': 'Payment card data security',
|
||||
'applies_if': [
|
||||
'Accept credit/debit cards',
|
||||
'Process card payments',
|
||||
'Store card data',
|
||||
'Transmit card data'
|
||||
],
|
||||
'compliance_levels': {
|
||||
'Level 1': '>6M transactions/year',
|
||||
'Level 2': '1M-6M transactions/year',
|
||||
'Level 3': '20K-1M transactions/year',
|
||||
'Level 4': '<20K transactions/year'
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
def determine_applicable_regulations(self, business_info):
|
||||
"""
|
||||
Determine which regulations apply based on business context
|
||||
"""
|
||||
applicable = []
|
||||
|
||||
# Check each regulation
|
||||
for reg_name, reg_info in self.regulations.items():
|
||||
if self._check_applicability(business_info, reg_info):
|
||||
applicable.append({
|
||||
'regulation': reg_name,
|
||||
'reason': self._get_applicability_reason(business_info, reg_info),
|
||||
'priority': self._calculate_priority(business_info, reg_name)
|
||||
})
|
||||
|
||||
return sorted(applicable, key=lambda x: x['priority'], reverse=True)
|
||||
```
|
||||
|
||||
### 2. Data Privacy Compliance
|
||||
|
||||
Implement privacy controls:
|
||||
|
||||
**GDPR Implementation**
|
||||
```python
|
||||
class GDPRCompliance:
|
||||
def implement_privacy_controls(self):
|
||||
"""
|
||||
Implement GDPR-required privacy controls
|
||||
"""
|
||||
controls = {}
|
||||
|
||||
# 1. Consent Management
|
||||
controls['consent_management'] = '''
|
||||
class ConsentManager:
|
||||
def __init__(self):
|
||||
self.consent_types = [
|
||||
'marketing_emails',
|
||||
'analytics_tracking',
|
||||
'third_party_sharing',
|
||||
'profiling'
|
||||
]
|
||||
|
||||
def record_consent(self, user_id, consent_type, granted):
|
||||
"""
|
||||
Record user consent with full audit trail
|
||||
"""
|
||||
consent_record = {
|
||||
'user_id': user_id,
|
||||
'consent_type': consent_type,
|
||||
'granted': granted,
|
||||
'timestamp': datetime.utcnow(),
|
||||
'ip_address': request.remote_addr,
|
||||
'user_agent': request.headers.get('User-Agent'),
|
||||
'version': self.get_current_privacy_policy_version(),
|
||||
'method': 'explicit_checkbox' # Not pre-ticked
|
||||
}
|
||||
|
||||
# Store in append-only audit log
|
||||
self.consent_audit_log.append(consent_record)
|
||||
|
||||
# Update current consent status
|
||||
self.update_user_consents(user_id, consent_type, granted)
|
||||
|
||||
return consent_record
|
||||
|
||||
def verify_consent(self, user_id, consent_type):
|
||||
"""
|
||||
Verify if user has given consent for specific processing
|
||||
"""
|
||||
consent = self.get_user_consent(user_id, consent_type)
|
||||
return consent and consent['granted'] and not consent.get('withdrawn')
|
||||
'''
|
||||
|
||||
# 2. Right to Erasure (Right to be Forgotten)
|
||||
controls['right_to_erasure'] = '''
|
||||
class DataErasureService:
|
||||
def process_erasure_request(self, user_id, verification_token):
|
||||
"""
|
||||
Process GDPR Article 17 erasure request
|
||||
"""
|
||||
# Verify request authenticity
|
||||
if not self.verify_erasure_token(user_id, verification_token):
|
||||
raise ValueError("Invalid erasure request")
|
||||
|
||||
erasure_log = {
|
||||
'user_id': user_id,
|
||||
'requested_at': datetime.utcnow(),
|
||||
'data_categories': []
|
||||
}
|
||||
|
||||
# 1. Personal data
|
||||
self.erase_user_profile(user_id)
|
||||
erasure_log['data_categories'].append('profile')
|
||||
|
||||
# 2. User-generated content (anonymize instead of delete)
|
||||
self.anonymize_user_content(user_id)
|
||||
erasure_log['data_categories'].append('content_anonymized')
|
||||
|
||||
# 3. Analytics data
|
||||
self.remove_from_analytics(user_id)
|
||||
erasure_log['data_categories'].append('analytics')
|
||||
|
||||
# 4. Backup data (schedule deletion)
|
||||
self.schedule_backup_deletion(user_id)
|
||||
erasure_log['data_categories'].append('backups_scheduled')
|
||||
|
||||
# 5. Notify third parties
|
||||
self.notify_processors_of_erasure(user_id)
|
||||
|
||||
# Keep minimal record for legal compliance
|
||||
self.store_erasure_record(erasure_log)
|
||||
|
||||
return {
|
||||
'status': 'completed',
|
||||
'erasure_id': erasure_log['id'],
|
||||
'categories_erased': erasure_log['data_categories']
|
||||
}
|
||||
'''
|
||||
|
||||
# 3. Data Portability
|
||||
controls['data_portability'] = '''
|
||||
class DataPortabilityService:
|
||||
def export_user_data(self, user_id, format='json'):
|
||||
"""
|
||||
GDPR Article 20 - Data portability
|
||||
"""
|
||||
user_data = {
|
||||
'export_date': datetime.utcnow().isoformat(),
|
||||
'user_id': user_id,
|
||||
'format_version': '2.0',
|
||||
'data': {}
|
||||
}
|
||||
|
||||
# Collect all user data
|
||||
user_data['data']['profile'] = self.get_user_profile(user_id)
|
||||
user_data['data']['preferences'] = self.get_user_preferences(user_id)
|
||||
user_data['data']['content'] = self.get_user_content(user_id)
|
||||
user_data['data']['activity'] = self.get_user_activity(user_id)
|
||||
user_data['data']['consents'] = self.get_consent_history(user_id)
|
||||
|
||||
# Format based on request
|
||||
if format == 'json':
|
||||
return json.dumps(user_data, indent=2)
|
||||
elif format == 'csv':
|
||||
return self.convert_to_csv(user_data)
|
||||
elif format == 'xml':
|
||||
return self.convert_to_xml(user_data)
|
||||
'''
|
||||
|
||||
return controls
|
||||
|
||||
**Privacy by Design**
|
||||
```python
|
||||
# Implement privacy by design principles
|
||||
class PrivacyByDesign:
|
||||
def implement_data_minimization(self):
|
||||
"""
|
||||
Collect only necessary data
|
||||
"""
|
||||
# Before (collecting too much)
|
||||
bad_user_model = {
|
||||
'email': str,
|
||||
'password': str,
|
||||
'full_name': str,
|
||||
'date_of_birth': date,
|
||||
'ssn': str, # Unnecessary
|
||||
'address': str, # Unnecessary for basic service
|
||||
'phone': str, # Unnecessary
|
||||
'gender': str, # Unnecessary
|
||||
'income': int # Unnecessary
|
||||
}
|
||||
|
||||
# After (data minimization)
|
||||
good_user_model = {
|
||||
'email': str, # Required for authentication
|
||||
'password_hash': str, # Never store plain text
|
||||
'display_name': str, # Optional, user-provided
|
||||
'created_at': datetime,
|
||||
'last_login': datetime
|
||||
}
|
||||
|
||||
return good_user_model
|
||||
|
||||
def implement_pseudonymization(self):
|
||||
"""
|
||||
Replace identifying fields with pseudonyms
|
||||
"""
|
||||
def pseudonymize_record(record):
|
||||
# Generate consistent pseudonym
|
||||
user_pseudonym = hashlib.sha256(
|
||||
f"{record['user_id']}{SECRET_SALT}".encode()
|
||||
).hexdigest()[:16]
|
||||
|
||||
return {
|
||||
'pseudonym': user_pseudonym,
|
||||
'data': {
|
||||
# Remove direct identifiers
|
||||
'age_group': self._get_age_group(record['age']),
|
||||
'region': self._get_region(record['ip_address']),
|
||||
'activity': record['activity_data']
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
### 3. Security Compliance
|
||||
|
||||
Implement security controls for various standards:
|
||||
|
||||
**SOC2 Security Controls**
|
||||
```python
|
||||
class SOC2SecurityControls:
|
||||
def implement_access_controls(self):
|
||||
"""
|
||||
SOC2 CC6.1 - Logical and physical access controls
|
||||
"""
|
||||
controls = {
|
||||
'authentication': '''
|
||||
# Multi-factor authentication
|
||||
class MFAEnforcement:
|
||||
def enforce_mfa(self, user, resource_sensitivity):
|
||||
if resource_sensitivity == 'high':
|
||||
return self.require_mfa(user)
|
||||
elif resource_sensitivity == 'medium' and user.is_admin:
|
||||
return self.require_mfa(user)
|
||||
return self.standard_auth(user)
|
||||
|
||||
def require_mfa(self, user):
|
||||
factors = []
|
||||
|
||||
# Factor 1: Password (something you know)
|
||||
factors.append(self.verify_password(user))
|
||||
|
||||
# Factor 2: TOTP/SMS (something you have)
|
||||
if user.mfa_method == 'totp':
|
||||
factors.append(self.verify_totp(user))
|
||||
elif user.mfa_method == 'sms':
|
||||
factors.append(self.verify_sms_code(user))
|
||||
|
||||
# Factor 3: Biometric (something you are) - optional
|
||||
if user.biometric_enabled:
|
||||
factors.append(self.verify_biometric(user))
|
||||
|
||||
return all(factors)
|
||||
''',
|
||||
'authorization': '''
|
||||
# Role-based access control
|
||||
class RBACAuthorization:
|
||||
def __init__(self):
|
||||
self.roles = {
|
||||
'admin': ['read', 'write', 'delete', 'admin'],
|
||||
'user': ['read', 'write:own'],
|
||||
'viewer': ['read']
|
||||
}
|
||||
|
||||
def check_permission(self, user, resource, action):
|
||||
user_permissions = self.get_user_permissions(user)
|
||||
|
||||
# Check explicit permissions
|
||||
if action in user_permissions:
|
||||
return True
|
||||
|
||||
# Check ownership-based permissions
|
||||
if f"{action}:own" in user_permissions:
|
||||
return self.user_owns_resource(user, resource)
|
||||
|
||||
# Log denied access attempt
|
||||
self.log_access_denied(user, resource, action)
|
||||
return False
|
||||
''',
|
||||
'encryption': '''
|
||||
# Encryption at rest and in transit
|
||||
class EncryptionControls:
|
||||
def __init__(self):
|
||||
self.kms = KeyManagementService()
|
||||
|
||||
def encrypt_at_rest(self, data, classification):
|
||||
if classification == 'sensitive':
|
||||
# Use envelope encryption
|
||||
dek = self.kms.generate_data_encryption_key()
|
||||
encrypted_data = self.encrypt_with_key(data, dek)
|
||||
encrypted_dek = self.kms.encrypt_key(dek)
|
||||
|
||||
return {
|
||||
'data': encrypted_data,
|
||||
'encrypted_key': encrypted_dek,
|
||||
'algorithm': 'AES-256-GCM',
|
||||
'key_id': self.kms.get_current_key_id()
|
||||
}
|
||||
|
||||
def configure_tls(self):
|
||||
return {
|
||||
'min_version': 'TLS1.2',
|
||||
'ciphers': [
|
||||
'ECDHE-RSA-AES256-GCM-SHA384',
|
||||
'ECDHE-RSA-AES128-GCM-SHA256'
|
||||
],
|
||||
'hsts': 'max-age=31536000; includeSubDomains',
|
||||
'certificate_pinning': True
|
||||
}
|
||||
'''
|
||||
}
|
||||
|
||||
return controls
|
||||
```
|
||||
|
||||
### 4. Audit Logging and Monitoring
|
||||
|
||||
Implement comprehensive audit trails:
|
||||
|
||||
**Audit Log System**
|
||||
```python
|
||||
class ComplianceAuditLogger:
|
||||
def __init__(self):
|
||||
self.required_events = {
|
||||
'authentication': [
|
||||
'login_success',
|
||||
'login_failure',
|
||||
'logout',
|
||||
'password_change',
|
||||
'mfa_enabled',
|
||||
'mfa_disabled'
|
||||
],
|
||||
'authorization': [
|
||||
'access_granted',
|
||||
'access_denied',
|
||||
'permission_changed',
|
||||
'role_assigned',
|
||||
'role_revoked'
|
||||
],
|
||||
'data_access': [
|
||||
'data_viewed',
|
||||
'data_exported',
|
||||
'data_modified',
|
||||
'data_deleted',
|
||||
'bulk_operation'
|
||||
],
|
||||
'compliance': [
|
||||
'consent_given',
|
||||
'consent_withdrawn',
|
||||
'data_request',
|
||||
'data_erasure',
|
||||
'privacy_settings_changed'
|
||||
]
|
||||
}
|
||||
|
||||
def log_event(self, event_type, details):
|
||||
"""
|
||||
Create tamper-proof audit log entry
|
||||
"""
|
||||
log_entry = {
|
||||
'id': str(uuid.uuid4()),
|
||||
'timestamp': datetime.utcnow().isoformat(),
|
||||
'event_type': event_type,
|
||||
'user_id': details.get('user_id'),
|
||||
'ip_address': self._get_ip_address(),
|
||||
'user_agent': request.headers.get('User-Agent'),
|
||||
'session_id': session.get('id'),
|
||||
'details': details,
|
||||
'compliance_flags': self._get_compliance_flags(event_type)
|
||||
}
|
||||
|
||||
# Add integrity check
|
||||
log_entry['checksum'] = self._calculate_checksum(log_entry)
|
||||
|
||||
# Store in immutable log
|
||||
self._store_audit_log(log_entry)
|
||||
|
||||
# Real-time alerting for critical events
|
||||
if self._is_critical_event(event_type):
|
||||
self._send_security_alert(log_entry)
|
||||
|
||||
return log_entry
|
||||
|
||||
def _calculate_checksum(self, entry):
|
||||
"""
|
||||
Create tamper-evident checksum
|
||||
"""
|
||||
# Include previous entry hash for blockchain-like integrity
|
||||
previous_hash = self._get_previous_entry_hash()
|
||||
|
||||
content = json.dumps(entry, sort_keys=True)
|
||||
return hashlib.sha256(
|
||||
f"{previous_hash}{content}{SECRET_KEY}".encode()
|
||||
).hexdigest()
|
||||
```
|
||||
|
||||
**Compliance Reporting**
|
||||
```python
|
||||
def generate_compliance_report(self, regulation, period):
|
||||
"""
|
||||
Generate compliance report for auditors
|
||||
"""
|
||||
report = {
|
||||
'regulation': regulation,
|
||||
'period': period,
|
||||
'generated_at': datetime.utcnow(),
|
||||
'sections': {}
|
||||
}
|
||||
|
||||
if regulation == 'GDPR':
|
||||
report['sections'] = {
|
||||
'data_processing_activities': self._get_processing_activities(period),
|
||||
'consent_metrics': self._get_consent_metrics(period),
|
||||
'data_requests': {
|
||||
'access_requests': self._count_access_requests(period),
|
||||
'erasure_requests': self._count_erasure_requests(period),
|
||||
'portability_requests': self._count_portability_requests(period),
|
||||
'response_times': self._calculate_response_times(period)
|
||||
},
|
||||
'data_breaches': self._get_breach_reports(period),
|
||||
'third_party_processors': self._list_processors(),
|
||||
'privacy_impact_assessments': self._get_dpias(period)
|
||||
}
|
||||
|
||||
elif regulation == 'HIPAA':
|
||||
report['sections'] = {
|
||||
'access_controls': self._audit_access_controls(period),
|
||||
'phi_access_log': self._get_phi_access_log(period),
|
||||
'risk_assessments': self._get_risk_assessments(period),
|
||||
'training_records': self._get_training_compliance(period),
|
||||
'business_associates': self._list_bas_with_agreements(),
|
||||
'incident_response': self._get_incident_reports(period)
|
||||
}
|
||||
|
||||
return report
|
||||
```
|
||||
|
||||
### 5. Healthcare Compliance (HIPAA)
|
||||
|
||||
Implement HIPAA-specific controls:
|
||||
|
||||
**PHI Protection**
|
||||
```python
|
||||
class HIPAACompliance:
|
||||
def protect_phi(self):
|
||||
"""
|
||||
Implement HIPAA safeguards for Protected Health Information
|
||||
"""
|
||||
# Technical Safeguards
|
||||
technical_controls = {
|
||||
'access_control': '''
|
||||
class PHIAccessControl:
|
||||
def __init__(self):
|
||||
self.minimum_necessary_rule = True
|
||||
|
||||
def grant_phi_access(self, user, patient_id, purpose):
|
||||
"""
|
||||
Implement minimum necessary standard
|
||||
"""
|
||||
# Verify legitimate purpose
|
||||
if not self._verify_treatment_relationship(user, patient_id, purpose):
|
||||
self._log_denied_access(user, patient_id, purpose)
|
||||
raise PermissionError("No treatment relationship")
|
||||
|
||||
# Grant limited access based on role and purpose
|
||||
access_scope = self._determine_access_scope(user.role, purpose)
|
||||
|
||||
# Time-limited access
|
||||
access_token = {
|
||||
'user_id': user.id,
|
||||
'patient_id': patient_id,
|
||||
'scope': access_scope,
|
||||
'purpose': purpose,
|
||||
'expires_at': datetime.utcnow() + timedelta(hours=24),
|
||||
'audit_id': str(uuid.uuid4())
|
||||
}
|
||||
|
||||
# Log all access
|
||||
self._log_phi_access(access_token)
|
||||
|
||||
return access_token
|
||||
''',
|
||||
'encryption': '''
|
||||
class PHIEncryption:
|
||||
def encrypt_phi_at_rest(self, phi_data):
|
||||
"""
|
||||
HIPAA-compliant encryption for PHI
|
||||
"""
|
||||
# Use FIPS 140-2 validated encryption
|
||||
encryption_config = {
|
||||
'algorithm': 'AES-256-CBC',
|
||||
'key_derivation': 'PBKDF2',
|
||||
'iterations': 100000,
|
||||
'validation': 'FIPS-140-2-Level-2'
|
||||
}
|
||||
|
||||
# Encrypt PHI fields
|
||||
encrypted_phi = {}
|
||||
for field, value in phi_data.items():
|
||||
if self._is_phi_field(field):
|
||||
encrypted_phi[field] = self._encrypt_field(value, encryption_config)
|
||||
else:
|
||||
encrypted_phi[field] = value
|
||||
|
||||
return encrypted_phi
|
||||
|
||||
def secure_phi_transmission(self):
|
||||
"""
|
||||
Secure PHI during transmission
|
||||
"""
|
||||
return {
|
||||
'protocols': ['TLS 1.2+'],
|
||||
'vpn_required': True,
|
||||
'email_encryption': 'S/MIME or PGP required',
|
||||
'fax_alternative': 'Secure messaging portal'
|
||||
}
|
||||
'''
|
||||
}
|
||||
|
||||
# Administrative Safeguards
|
||||
admin_controls = {
|
||||
'workforce_training': '''
|
||||
class HIPAATraining:
|
||||
def track_training_compliance(self, employee):
|
||||
"""
|
||||
Ensure workforce HIPAA training compliance
|
||||
"""
|
||||
required_modules = [
|
||||
'HIPAA Privacy Rule',
|
||||
'HIPAA Security Rule',
|
||||
'PHI Handling Procedures',
|
||||
'Breach Notification',
|
||||
'Patient Rights',
|
||||
'Minimum Necessary Standard'
|
||||
]
|
||||
|
||||
training_status = {
|
||||
'employee_id': employee.id,
|
||||
'completed_modules': [],
|
||||
'pending_modules': [],
|
||||
'last_training_date': None,
|
||||
'next_due_date': None
|
||||
}
|
||||
|
||||
for module in required_modules:
|
||||
completion = self._check_module_completion(employee.id, module)
|
||||
if completion and completion['date'] > datetime.now() - timedelta(days=365):
|
||||
training_status['completed_modules'].append(module)
|
||||
else:
|
||||
training_status['pending_modules'].append(module)
|
||||
|
||||
return training_status
|
||||
'''
|
||||
}
|
||||
|
||||
return {
|
||||
'technical': technical_controls,
|
||||
'administrative': admin_controls
|
||||
}
|
||||
```
|
||||
|
||||
### 6. Payment Card Compliance (PCI-DSS)
|
||||
|
||||
Implement PCI-DSS requirements:
|
||||
|
||||
**PCI-DSS Controls**
|
||||
```python
|
||||
class PCIDSSCompliance:
|
||||
def implement_pci_controls(self):
|
||||
"""
|
||||
Implement PCI-DSS v4.0 requirements
|
||||
"""
|
||||
controls = {
|
||||
'cardholder_data_protection': '''
|
||||
class CardDataProtection:
|
||||
def __init__(self):
|
||||
# Never store these
|
||||
self.prohibited_data = ['cvv', 'cvv2', 'cvc2', 'cid', 'pin', 'pin_block']
|
||||
|
||||
def handle_card_data(self, card_info):
|
||||
"""
|
||||
PCI-DSS compliant card data handling
|
||||
"""
|
||||
# Immediately tokenize
|
||||
token = self.tokenize_card(card_info)
|
||||
|
||||
# If must store, only store allowed fields
|
||||
stored_data = {
|
||||
'token': token,
|
||||
'last_four': card_info['number'][-4:],
|
||||
'exp_month': card_info['exp_month'],
|
||||
'exp_year': card_info['exp_year'],
|
||||
'cardholder_name': self._encrypt(card_info['name'])
|
||||
}
|
||||
|
||||
# Never log full card number
|
||||
self._log_transaction(token, 'XXXX-XXXX-XXXX-' + stored_data['last_four'])
|
||||
|
||||
return stored_data
|
||||
|
||||
def tokenize_card(self, card_info):
|
||||
"""
|
||||
Replace PAN with token
|
||||
"""
|
||||
# Use payment processor tokenization
|
||||
response = payment_processor.tokenize({
|
||||
'number': card_info['number'],
|
||||
'exp_month': card_info['exp_month'],
|
||||
'exp_year': card_info['exp_year']
|
||||
})
|
||||
|
||||
return response['token']
|
||||
''',
|
||||
'network_segmentation': '''
|
||||
# Network segmentation for PCI compliance
|
||||
class PCINetworkSegmentation:
|
||||
def configure_network_zones(self):
|
||||
"""
|
||||
Implement network segmentation
|
||||
"""
|
||||
zones = {
|
||||
'cde': { # Cardholder Data Environment
|
||||
'description': 'Systems that process, store, or transmit CHD',
|
||||
'controls': [
|
||||
'Firewall required',
|
||||
'IDS/IPS monitoring',
|
||||
'No direct internet access',
|
||||
'Quarterly vulnerability scans',
|
||||
'Annual penetration testing'
|
||||
]
|
||||
},
|
||||
'dmz': {
|
||||
'description': 'Public-facing systems',
|
||||
'controls': [
|
||||
'Web application firewall',
|
||||
'No CHD storage allowed',
|
||||
'Regular security scanning'
|
||||
]
|
||||
},
|
||||
'internal': {
|
||||
'description': 'Internal corporate network',
|
||||
'controls': [
|
||||
'Segmented from CDE',
|
||||
'Limited CDE access',
|
||||
'Standard security controls'
|
||||
]
|
||||
}
|
||||
}
|
||||
|
||||
return zones
|
||||
''',
|
||||
'vulnerability_management': '''
|
||||
class PCIVulnerabilityManagement:
|
||||
def quarterly_scan_requirements(self):
|
||||
"""
|
||||
PCI-DSS quarterly scan requirements
|
||||
"""
|
||||
scan_config = {
|
||||
'internal_scans': {
|
||||
'frequency': 'quarterly',
|
||||
'scope': 'all CDE systems',
|
||||
'tool': 'PCI-approved scanning vendor',
|
||||
'passing_criteria': 'No high-risk vulnerabilities'
|
||||
},
|
||||
'external_scans': {
|
||||
'frequency': 'quarterly',
|
||||
'performed_by': 'ASV (Approved Scanning Vendor)',
|
||||
'scope': 'All external-facing IP addresses',
|
||||
'passing_criteria': 'Clean scan with no failures'
|
||||
},
|
||||
'remediation_timeline': {
|
||||
'critical': '24 hours',
|
||||
'high': '7 days',
|
||||
'medium': '30 days',
|
||||
'low': '90 days'
|
||||
}
|
||||
}
|
||||
|
||||
return scan_config
|
||||
'''
|
||||
}
|
||||
|
||||
return controls
|
||||
```
|
||||
|
||||
### 7. Continuous Compliance Monitoring
|
||||
|
||||
Set up automated compliance monitoring:
|
||||
|
||||
**Compliance Dashboard**
|
||||
```python
|
||||
class ComplianceDashboard:
|
||||
def generate_realtime_dashboard(self):
|
||||
"""
|
||||
Real-time compliance status dashboard
|
||||
"""
|
||||
dashboard = {
|
||||
'timestamp': datetime.utcnow(),
|
||||
'overall_compliance_score': 0,
|
||||
'regulations': {}
|
||||
}
|
||||
|
||||
# GDPR Compliance Metrics
|
||||
dashboard['regulations']['GDPR'] = {
|
||||
'score': self.calculate_gdpr_score(),
|
||||
'status': 'COMPLIANT',
|
||||
'metrics': {
|
||||
'consent_rate': '87%',
|
||||
'data_requests_sla': '98% within 30 days',
|
||||
'privacy_policy_version': '2.1',
|
||||
'last_dpia': '2025-06-15',
|
||||
'encryption_coverage': '100%',
|
||||
'third_party_agreements': '12/12 signed'
|
||||
},
|
||||
'issues': [
|
||||
{
|
||||
'severity': 'medium',
|
||||
'issue': 'Cookie consent banner update needed',
|
||||
'due_date': '2025-08-01'
|
||||
}
|
||||
]
|
||||
}
|
||||
|
||||
# HIPAA Compliance Metrics
|
||||
dashboard['regulations']['HIPAA'] = {
|
||||
'score': self.calculate_hipaa_score(),
|
||||
'status': 'NEEDS_ATTENTION',
|
||||
'metrics': {
|
||||
'risk_assessment_current': True,
|
||||
'workforce_training_compliance': '94%',
|
||||
'baa_agreements': '8/8 current',
|
||||
'encryption_status': 'All PHI encrypted',
|
||||
'access_reviews': 'Completed 2025-06-30',
|
||||
'incident_response_tested': '2025-05-15'
|
||||
},
|
||||
'issues': [
|
||||
{
|
||||
'severity': 'high',
|
||||
'issue': '3 employees overdue for training',
|
||||
'due_date': '2025-07-25'
|
||||
}
|
||||
]
|
||||
}
|
||||
|
||||
return dashboard
|
||||
```
|
||||
|
||||
**Automated Compliance Checks**
|
||||
```yaml
|
||||
# .github/workflows/compliance-check.yml
|
||||
name: Compliance Checks
|
||||
|
||||
on:
|
||||
push:
|
||||
branches: [main, develop]
|
||||
pull_request:
|
||||
schedule:
|
||||
- cron: '0 0 * * *' # Daily compliance check
|
||||
|
||||
jobs:
|
||||
compliance-scan:
|
||||
runs-on: ubuntu-latest
|
||||
|
||||
steps:
|
||||
- uses: actions/checkout@v3
|
||||
|
||||
- name: GDPR Compliance Check
|
||||
run: |
|
||||
python scripts/compliance/gdpr_checker.py
|
||||
|
||||
- name: Security Headers Check
|
||||
run: |
|
||||
python scripts/compliance/security_headers.py
|
||||
|
||||
- name: Dependency License Check
|
||||
run: |
|
||||
license-checker --onlyAllow 'MIT;Apache-2.0;BSD-3-Clause;ISC'
|
||||
|
||||
- name: PII Detection Scan
|
||||
run: |
|
||||
# Scan for hardcoded PII
|
||||
python scripts/compliance/pii_scanner.py
|
||||
|
||||
- name: Encryption Verification
|
||||
run: |
|
||||
# Verify all sensitive data is encrypted
|
||||
python scripts/compliance/encryption_checker.py
|
||||
|
||||
- name: Generate Compliance Report
|
||||
if: always()
|
||||
run: |
|
||||
python scripts/compliance/generate_report.py > compliance-report.json
|
||||
|
||||
- name: Upload Compliance Report
|
||||
uses: actions/upload-artifact@v3
|
||||
with:
|
||||
name: compliance-report
|
||||
path: compliance-report.json
|
||||
```
|
||||
|
||||
### 8. Compliance Documentation
|
||||
|
||||
Generate required documentation:
|
||||
|
||||
**Privacy Policy Generator**
|
||||
```python
|
||||
def generate_privacy_policy(company_info, data_practices):
|
||||
"""
|
||||
Generate GDPR-compliant privacy policy
|
||||
"""
|
||||
policy = f"""
|
||||
# Privacy Policy
|
||||
|
||||
**Last Updated**: {datetime.now().strftime('%B %d, %Y')}
|
||||
|
||||
## 1. Data Controller
|
||||
{company_info['name']}
|
||||
{company_info['address']}
|
||||
Email: {company_info['privacy_email']}
|
||||
DPO: {company_info.get('dpo_contact', 'privacy@company.com')}
|
||||
|
||||
## 2. Data We Collect
|
||||
{generate_data_collection_section(data_practices['data_types'])}
|
||||
|
||||
## 3. Legal Basis for Processing
|
||||
{generate_legal_basis_section(data_practices['purposes'])}
|
||||
|
||||
## 4. Your Rights
|
||||
Under GDPR, you have the following rights:
|
||||
- Right to access your personal data
|
||||
- Right to rectification
|
||||
- Right to erasure ('right to be forgotten')
|
||||
- Right to restrict processing
|
||||
- Right to data portability
|
||||
- Right to object
|
||||
- Rights related to automated decision making
|
||||
|
||||
## 5. Data Retention
|
||||
{generate_retention_policy(data_practices['retention_periods'])}
|
||||
|
||||
## 6. International Transfers
|
||||
{generate_transfer_section(data_practices['international_transfers'])}
|
||||
|
||||
## 7. Contact Us
|
||||
To exercise your rights, contact: {company_info['privacy_email']}
|
||||
"""
|
||||
|
||||
return policy
|
||||
```
|
||||
|
||||
## Output Format
|
||||
|
||||
1. **Compliance Assessment**: Current compliance status across all applicable regulations
|
||||
2. **Gap Analysis**: Specific areas needing attention with severity ratings
|
||||
3. **Implementation Plan**: Prioritized roadmap for achieving compliance
|
||||
4. **Technical Controls**: Code implementations for required controls
|
||||
5. **Policy Templates**: Privacy policies, consent forms, and notices
|
||||
6. **Audit Procedures**: Scripts for continuous compliance monitoring
|
||||
7. **Documentation**: Required records and evidence for auditors
|
||||
8. **Training Materials**: Workforce compliance training resources
|
||||
|
||||
Focus on practical implementation that balances compliance requirements with business operations and user experience.
|
||||
1597
tools/config-validate.md
Normal file
1597
tools/config-validate.md
Normal file
File diff suppressed because it is too large
Load Diff
70
tools/context-restore.md
Normal file
70
tools/context-restore.md
Normal file
@@ -0,0 +1,70 @@
|
||||
---
|
||||
model: claude-sonnet-4-0
|
||||
---
|
||||
|
||||
Restore saved project context for agent coordination:
|
||||
|
||||
[Extended thinking: This tool uses the context-manager agent to restore previously saved project context, enabling continuity across sessions and providing agents with comprehensive project knowledge.]
|
||||
|
||||
## Context Restoration Process
|
||||
|
||||
Use Task tool with subagent_type="context-manager" to restore and apply saved context.
|
||||
|
||||
Prompt: "Restore project context for: $ARGUMENTS. Perform the following:
|
||||
|
||||
1. **Locate Saved Context**
|
||||
- Find the most recent or specified context version
|
||||
- Validate context integrity
|
||||
- Check compatibility with current codebase
|
||||
|
||||
2. **Load Context Components**
|
||||
- Project overview and goals
|
||||
- Architectural decisions and rationale
|
||||
- Technology stack and patterns
|
||||
- Previous agent work and findings
|
||||
- Known issues and roadmap
|
||||
|
||||
3. **Apply Context**
|
||||
- Set up working environment based on context
|
||||
- Restore project-specific configurations
|
||||
- Load coding conventions and patterns
|
||||
- Prepare agent coordination history
|
||||
|
||||
4. **Validate Restoration**
|
||||
- Verify context applies to current code state
|
||||
- Identify any conflicts or outdated information
|
||||
- Flag areas that may need updates
|
||||
|
||||
5. **Prepare Summary**
|
||||
- Key points from restored context
|
||||
- Important decisions and patterns
|
||||
- Recent work and current focus
|
||||
- Suggested next steps
|
||||
|
||||
Return a comprehensive summary of the restored context and any issues encountered."
|
||||
|
||||
## Context Integration
|
||||
|
||||
The restored context will:
|
||||
- Inform all subsequent agent invocations
|
||||
- Maintain consistency with past decisions
|
||||
- Provide historical knowledge to agents
|
||||
- Enable seamless work continuation
|
||||
|
||||
## Usage Scenarios
|
||||
|
||||
Use context restoration when:
|
||||
- Starting work after a break
|
||||
- Switching between projects
|
||||
- Onboarding to an existing project
|
||||
- Needing historical project knowledge
|
||||
- Coordinating complex multi-agent workflows
|
||||
|
||||
## Additional Options
|
||||
|
||||
- Restore specific context version: Include version timestamp
|
||||
- Partial restoration: Restore only specific components
|
||||
- Merge contexts: Combine multiple context versions
|
||||
- Diff contexts: Compare current state with saved context
|
||||
|
||||
Context to restore: $ARGUMENTS
|
||||
70
tools/context-save.md
Normal file
70
tools/context-save.md
Normal file
@@ -0,0 +1,70 @@
|
||||
---
|
||||
model: claude-sonnet-4-0
|
||||
---
|
||||
|
||||
Save current project context for future agent coordination:
|
||||
|
||||
[Extended thinking: This tool uses the context-manager agent to capture and preserve project state, decisions, and patterns. This enables better continuity across sessions and improved agent coordination.]
|
||||
|
||||
## Context Capture Process
|
||||
|
||||
Use Task tool with subagent_type="context-manager" to save comprehensive project context.
|
||||
|
||||
Prompt: "Save comprehensive project context for: $ARGUMENTS. Capture:
|
||||
|
||||
1. **Project Overview**
|
||||
- Project goals and objectives
|
||||
- Key architectural decisions
|
||||
- Technology stack and dependencies
|
||||
- Team conventions and patterns
|
||||
|
||||
2. **Current State**
|
||||
- Recently implemented features
|
||||
- Work in progress
|
||||
- Known issues and technical debt
|
||||
- Performance baselines
|
||||
|
||||
3. **Design Decisions**
|
||||
- Architectural choices and rationale
|
||||
- API design patterns
|
||||
- Database schema decisions
|
||||
- Security implementations
|
||||
|
||||
4. **Code Patterns**
|
||||
- Coding conventions used
|
||||
- Common patterns and abstractions
|
||||
- Testing strategies
|
||||
- Error handling approaches
|
||||
|
||||
5. **Agent Coordination History**
|
||||
- Which agents worked on what
|
||||
- Successful agent combinations
|
||||
- Agent-specific context and findings
|
||||
- Cross-agent dependencies
|
||||
|
||||
6. **Future Roadmap**
|
||||
- Planned features
|
||||
- Identified improvements
|
||||
- Technical debt to address
|
||||
- Performance optimization opportunities
|
||||
|
||||
Save this context in a structured format that can be easily restored and used by future agent invocations."
|
||||
|
||||
## Context Storage
|
||||
|
||||
The context will be saved to `.claude/context/` with:
|
||||
- Timestamp-based versioning
|
||||
- Structured JSON/Markdown format
|
||||
- Easy restoration capabilities
|
||||
- Context diffing between versions
|
||||
|
||||
## Usage Scenarios
|
||||
|
||||
This saved context enables:
|
||||
- Resuming work after breaks
|
||||
- Onboarding new team members
|
||||
- Maintaining consistency across agent invocations
|
||||
- Preserving architectural decisions
|
||||
- Tracking project evolution
|
||||
|
||||
Context to save: $ARGUMENTS
|
||||
1451
tools/cost-optimize.md
Normal file
1451
tools/cost-optimize.md
Normal file
File diff suppressed because it is too large
Load Diff
60
tools/data-pipeline.md
Normal file
60
tools/data-pipeline.md
Normal file
@@ -0,0 +1,60 @@
|
||||
---
|
||||
model: claude-sonnet-4-0
|
||||
---
|
||||
|
||||
# Data Pipeline Architecture
|
||||
|
||||
Design and implement a scalable data pipeline for: $ARGUMENTS
|
||||
|
||||
Create a production-ready data pipeline including:
|
||||
|
||||
1. **Data Ingestion**:
|
||||
- Multiple source connectors (APIs, databases, files, streams)
|
||||
- Schema evolution handling
|
||||
- Incremental/batch loading
|
||||
- Data quality checks at ingestion
|
||||
- Dead letter queue for failures
|
||||
|
||||
2. **Transformation Layer**:
|
||||
- ETL/ELT architecture decision
|
||||
- Apache Beam/Spark transformations
|
||||
- Data cleansing and normalization
|
||||
- Feature engineering pipeline
|
||||
- Business logic implementation
|
||||
|
||||
3. **Orchestration**:
|
||||
- Airflow/Prefect DAGs
|
||||
- Dependency management
|
||||
- Retry and failure handling
|
||||
- SLA monitoring
|
||||
- Dynamic pipeline generation
|
||||
|
||||
4. **Storage Strategy**:
|
||||
- Data lake architecture
|
||||
- Partitioning strategy
|
||||
- Compression choices
|
||||
- Retention policies
|
||||
- Hot/cold storage tiers
|
||||
|
||||
5. **Streaming Pipeline**:
|
||||
- Kafka/Kinesis integration
|
||||
- Real-time processing
|
||||
- Windowing strategies
|
||||
- Late data handling
|
||||
- Exactly-once semantics
|
||||
|
||||
6. **Data Quality**:
|
||||
- Automated testing
|
||||
- Data profiling
|
||||
- Anomaly detection
|
||||
- Lineage tracking
|
||||
- Quality metrics and dashboards
|
||||
|
||||
7. **Performance & Scale**:
|
||||
- Horizontal scaling
|
||||
- Resource optimization
|
||||
- Caching strategies
|
||||
- Query optimization
|
||||
- Cost management
|
||||
|
||||
Include monitoring, alerting, and data governance considerations. Make it cloud-agnostic with specific implementation examples for AWS/GCP/Azure.
|
||||
60
tools/data-validation.md
Normal file
60
tools/data-validation.md
Normal file
@@ -0,0 +1,60 @@
|
||||
---
|
||||
model: claude-sonnet-4-0
|
||||
---
|
||||
|
||||
# Data Validation Pipeline
|
||||
|
||||
Create a comprehensive data validation system for: $ARGUMENTS
|
||||
|
||||
Implement validation including:
|
||||
|
||||
1. **Schema Validation**:
|
||||
- Pydantic models for structure
|
||||
- JSON Schema generation
|
||||
- Type checking and coercion
|
||||
- Nested object validation
|
||||
- Custom validators
|
||||
|
||||
2. **Data Quality Checks**:
|
||||
- Null/missing value handling
|
||||
- Outlier detection
|
||||
- Statistical validation
|
||||
- Business rule enforcement
|
||||
- Referential integrity
|
||||
|
||||
3. **Data Profiling**:
|
||||
- Automatic type inference
|
||||
- Distribution analysis
|
||||
- Cardinality checks
|
||||
- Pattern detection
|
||||
- Anomaly identification
|
||||
|
||||
4. **Validation Rules**:
|
||||
- Field-level constraints
|
||||
- Cross-field validation
|
||||
- Temporal consistency
|
||||
- Format validation (email, phone, etc.)
|
||||
- Custom business logic
|
||||
|
||||
5. **Error Handling**:
|
||||
- Detailed error messages
|
||||
- Error categorization
|
||||
- Partial validation support
|
||||
- Error recovery strategies
|
||||
- Validation reports
|
||||
|
||||
6. **Performance**:
|
||||
- Streaming validation
|
||||
- Batch processing
|
||||
- Parallel validation
|
||||
- Caching strategies
|
||||
- Incremental validation
|
||||
|
||||
7. **Integration**:
|
||||
- API endpoint validation
|
||||
- Database constraints
|
||||
- Message queue validation
|
||||
- File upload validation
|
||||
- Real-time validation
|
||||
|
||||
Include data quality metrics, monitoring dashboards, and alerting. Make it extensible for custom validation rules.
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user