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

This prepares the repository for unified plugin marketplace integration.
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
2025-10-08 08:25:17 -04:00
parent a80cfd0f53
commit ce7a5938c1
143 changed files with 37154 additions and 464 deletions

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README.md
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# Claude Code Subagents Collection
# Claude Code Workflows & Agents
A comprehensive collection of 83 specialized AI subagents for [Claude Code](https://docs.anthropic.com/en/docs/claude-code), providing domain-specific expertise across software development, infrastructure, and business operations.
A comprehensive production-ready system combining **83 specialized AI agents**, **15 multi-agent workflow orchestrators**, and **42 development tools** for [Claude Code](https://docs.anthropic.com/en/docs/claude-code).
## Overview
This repository provides production-ready subagents that extend Claude Code's capabilities with specialized knowledge. Each subagent incorporates:
This unified repository provides everything needed for intelligent automation and multi-agent orchestration across modern software development:
- Current industry best practices and standards (2024/2025)
- 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
- **83 Specialized Agents** - Domain experts with deep knowledge (architecture, languages, infrastructure, quality, data/AI, business)
- **15 Workflow Orchestrators** - Multi-agent coordination systems for complex operations
- **42 Development Tools** - Focused utilities for specific tasks
## Agent Categories
## System Requirements
### 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` |
- [Claude Code](https://docs.anthropic.com/en/docs/claude-code) installed and configured
- Git for repository management
## 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.
All agents, workflows, and tools will be automatically available to Claude Code.
## Repository Structure
```
agents/
├── agents/ # 83 specialized AI agents
│ ├── backend-architect.md
│ ├── frontend-developer.md
│ └── ... (all agent definitions)
├── workflows/ # 15 multi-agent orchestrators
│ ├── feature-development.md
│ ├── full-stack-feature.md
│ ├── security-hardening.md
│ └── ... (workflow commands)
├── tools/ # 42 development utilities
│ ├── api-scaffold.md
│ ├── security-scan.md
│ └── ... (tool commands)
└── README.md
```
## Workflow Commands
Multi-agent orchestration systems that coordinate complex, cross-domain tasks:
### Core Development Workflows
| Command | Purpose | Agent Coordination |
|---------|---------|-------------------|
| `feature-development` | End-to-end feature implementation | Backend, frontend, testing, deployment |
| `full-stack-feature` | Complete multi-tier implementation | Backend API, frontend UI, mobile, database |
| `full-review` | Multi-perspective code analysis | Architecture, security, performance, quality |
| `smart-fix` | Intelligent problem resolution | Dynamic agent selection based on issue type |
| `tdd-cycle` | Test-driven development orchestration | Test writer, implementer, refactoring specialist |
### Process Automation Workflows
| Command | Purpose | Scope |
|---------|---------|-------|
| `git-workflow` | Version control process automation | Branching strategies, commit standards, PR templates |
| `improve-agent` | Agent optimization | Prompt engineering, performance tuning |
| `legacy-modernize` | Codebase modernization | Architecture migration, dependency updates |
| `multi-platform` | Cross-platform development | Web, mobile, desktop coordination |
| `workflow-automate` | CI/CD pipeline automation | Build, test, deploy, monitor |
### Advanced Orchestration Workflows
| Command | Primary Focus | Specialized Agents |
|---------|---------------|-------------------|
| `security-hardening` | Security-first development | Threat modeling, vulnerability assessment |
| `data-driven-feature` | ML-powered functionality | Data science, feature engineering, model deployment |
| `ml-pipeline` | End-to-end ML infrastructure | MLOps, data engineering, model serving |
| `performance-optimization` | System-wide optimization | Profiling, caching, query optimization |
| `incident-response` | Production issue resolution | Diagnostics, root cause analysis, hotfix deployment |
## Development Tools
Focused, single-purpose utilities for specific development operations:
### AI and Machine Learning
- `langchain-agent` - LangChain agent development
- `ai-assistant` - AI-powered development assistance
- `ai-review` - AI-based code review
### API Development
- `api-scaffold` - API endpoint scaffolding
- `api-mock` - API mocking and testing
### Testing & Quality
- `tdd-red` - Red phase (failing tests)
- `tdd-green` - Green phase (passing implementation)
- `tdd-refactor` - Refactor phase
- `test-harness` - Test infrastructure setup
### Security & Compliance
- `security-scan` - Vulnerability scanning
- `compliance-check` - Compliance validation
### Infrastructure & Operations
- `k8s-manifest` - Kubernetes manifest generation
- `docker-optimize` - Docker optimization
- `monitor-setup` - Monitoring infrastructure
- `deploy-checklist` - Deployment validation
### Code Quality
- `code-explain` - Code explanation
- `code-migrate` - Code migration
- `refactor-clean` - Code refactoring
- `pr-enhance` - Pull request enhancement
### 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:
```bash
# Full-stack feature development
/workflows:feature-development implement OAuth2 authentication
# 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)