mirror of
https://github.com/wshobson/agents.git
synced 2026-03-18 09:37:15 +00:00
d2f3886ae1
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.
275 lines
10 KiB
Markdown
275 lines
10 KiB
Markdown
# Claude Code Workflows & Agents
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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 unified repository provides everything needed for intelligent automation and multi-agent orchestration across modern software development:
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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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## System Requirements
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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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```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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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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### Security & Compliance
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- `security-scan` - Vulnerability scanning
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- `compliance-check` - Compliance validation
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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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### And 20+ more tools for debugging, documentation, data validation, cost optimization, and developer workflows
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## Usage
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### Workflow Invocation
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```bash
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# Full-stack feature development
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/workflows:feature-development implement OAuth2 authentication
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# Security hardening
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/workflows:security-hardening perform security audit and remediation
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# ML pipeline
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/workflows:ml-pipeline build recommendation system with monitoring
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# Incident response
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/workflows:incident-response debug production memory leak
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```
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### Tool Invocation
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```bash
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# API scaffolding
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/tools:api-scaffold create user management endpoints
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# Security scanning
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/tools:security-scan perform vulnerability assessment
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# Documentation generation
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/tools:doc-generate create API documentation
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```
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### Direct Agent Access
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Agents are automatically available and can be explicitly invoked:
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```bash
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"Use backend-architect to design the authentication API"
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"Have security-auditor scan for OWASP vulnerabilities"
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"Get performance-engineer to optimize this bottleneck"
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```
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## Agent Categories
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### Architecture & System Design (7 agents)
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backend-architect, cloud-architect, kubernetes-architect, hybrid-cloud-architect, graphql-architect, terraform-specialist, architect-review
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### Programming Languages (15 agents)
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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
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### Infrastructure & Operations (9 agents)
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devops-troubleshooter, deployment-engineer, database-admin, database-optimizer, database-architect, network-engineer, incident-responder, performance-engineer, observability-engineer
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### Security & Quality (9 agents)
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code-reviewer, security-auditor, backend-security-coder, frontend-security-coder, mobile-security-coder, test-automator, tdd-orchestrator, debugger, error-detective
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### Frontend & Mobile (7 agents)
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frontend-developer, ui-ux-designer, ui-visual-validator, mobile-developer, ios-developer, flutter-expert, unity-developer
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### Data & AI (6 agents)
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data-scientist, data-engineer, ml-engineer, mlops-engineer, ai-engineer, prompt-engineer
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### Documentation (5 agents)
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docs-architect, api-documenter, reference-builder, tutorial-engineer, mermaid-expert
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### Business & Operations (6 agents)
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business-analyst, hr-pro, legal-advisor, customer-support, sales-automator, content-marketer
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### SEO & Content (10 agents)
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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
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### Specialized Domains (7 agents)
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blockchain-developer, quant-analyst, risk-manager, payment-integration, minecraft-bukkit-pro, legacy-modernizer, context-manager
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### Utilities (3 agents)
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search-specialist, dx-optimizer, sql-pro
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## Multi-Agent Orchestration Examples
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### Full-Stack Development
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```bash
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/workflows:full-stack-feature implement user dashboard with analytics
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```
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**Orchestrates**: backend-architect → graphql-architect → frontend-developer → mobile-developer → test-automator → security-auditor → performance-engineer → deployment-engineer
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### Security Hardening
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```bash
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/workflows:security-hardening implement security best practices
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```
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**Orchestrates**: security-auditor → backend-security-coder → frontend-security-coder → mobile-security-coder → test-automator
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### Data/ML Pipeline
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```bash
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/workflows:ml-pipeline build customer churn prediction model
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```
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**Orchestrates**: data-scientist → data-engineer → ml-engineer → mlops-engineer → ai-engineer → performance-engineer
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### Incident Response
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```bash
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/workflows:incident-response debug high CPU usage in production
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```
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**Orchestrates**: incident-responder → devops-troubleshooter → debugger → error-detective → observability-engineer
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## Model Configuration
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Agents are assigned to specific Claude models based on task complexity:
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| Model | Count | Use Cases |
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|-------|-------|-----------|
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| **Opus** | 22 | Complex architecture, critical analysis, security audits, business operations |
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| **Sonnet** | 50 | Standard development, engineering tasks, quality assurance |
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| **Haiku** | 11 | Quick focused tasks, SEO optimization, reference building |
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## Multi-Agent Orchestration Patterns
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### Sequential Processing
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```
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backend-architect → frontend-developer → test-automator → security-auditor
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```
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### Parallel Execution
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```
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performance-engineer + database-optimizer → Merged optimization
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```
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### Conditional Routing
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```
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debugger → [backend-architect | frontend-developer | devops-troubleshooter]
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```
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### Validation Pipeline
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feature-development → security-auditor → performance-engineer → Validated release
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```
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## Migration from Commands Repository
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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.
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## Contributing
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To add new agents, workflows, or tools:
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1. Place agent definitions in `agents/` directory
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2. Place workflow orchestrators in `workflows/` directory
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3. Place tool commands in `tools/` directory
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4. Follow existing naming conventions (lowercase, hyphen-separated)
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5. Include proper frontmatter in markdown files
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## License
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MIT License - see [LICENSE](LICENSE) file for details.
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## Resources
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- [Claude Code Documentation](https://docs.anthropic.com/en/docs/claude-code)
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- [Subagents Documentation](https://docs.anthropic.com/en/docs/claude-code/sub-agents)
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- [Claude Code GitHub](https://github.com/anthropics/claude-code)
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