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Autonomous multi-agent coding with git worktree isolation, QA validation, and memory. Use for complex features requiring autonomous implementation.

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SKILL.md

name auto-claude
description Autonomous multi-agent coding with git worktree isolation, QA validation, and memory. Use for complex features requiring autonomous implementation.
tags autonomous, development, qa, worktree, memory

Auto-Claude: Autonomous Coding Framework

Autonomous multi-agent system for complex feature implementation with QA validation.

When to Use

Use Auto-Claude for:

  • Complexity 3-4 - Well-defined features, multiple files
  • Established codebases with clear patterns
  • Repetitive tasks (CRUD, forms, API endpoints, auth flows)
  • When you prefer review-at-end vs step-by-step
  • Features requiring iterative refinement with QA validation

Don't use Auto-Claude for:

  • Complexity 1-2 - Use manual /start-task instead
  • Complexity 5+ - Use /gsd:new-project instead
  • Greenfield projects (no existing codebase patterns)
  • Exploratory/research tasks (unclear requirements)
  • Simple typo fixes or config changes
  • Tasks requiring human decision-making during implementation

Quick Guide:

  • Complexity 1-2 → Manual implementation
  • Complexity 3-4 → Auto-Claude (autonomous)
  • Complexity 5+ → GSD (multi-phase)

Core Capabilities

  1. Codebase Analysis - Generates semantic baseline
  2. Spec Generation - Creates detailed implementation plan
  3. Autonomous Implementation - Multi-agent coordination
  4. Git Worktree Isolation - Safe development in separate worktree
  5. QA Validation - Iterative quality checks
  6. Memory System - Graphiti-powered context retention

Workflow

# From project directory:
/auto-claude Add user authentication with JWT tokens

What Happens:

  1. Analyzes project structure → generates baseline
  2. Creates implementation spec → stores in ~/.auto-claude/specs/
  3. Creates git worktree → isolated development environment
  4. Autonomous agents implement → with QA loops
  5. Returns completed code → ready for review

Output Location: ~/.auto-claude/ (gitignored)

Integration with Existing Workflows

Manual Implementation:

/start-task [description]  → Claude implements step-by-step

Autonomous Implementation:

/auto-claude [description] → Auto-Claude implements autonomously

Multi-Phase Projects:

/gsd:new-project          → GSD for project management

Configuration

Location: ~/.auto-claude/.env

Required:

  • CLAUDE_CODE_OAUTH_TOKEN - Get from /settings in Claude Code

Optional (Recommended):

  • GRAPHITI_ENABLED=true - Semantic memory
  • GOOGLE_API_KEY - For Gemini embeddings (memory feature)
  • Alternative: Ollama (local) or disable memory

Trade-offs

Strengths:

  • Autonomous with minimal oversight
  • QA validation ensures quality
  • Git worktree prevents main branch disruption
  • Memory learns from previous sessions

Limitations:

  • Best for established codebases
  • Requires clear specifications
  • Uses tokens for multi-agent iterations
  • Manual merge required after completion

Examples

Good use cases:

  • "Add user authentication with JWT tokens and session management"
  • "Implement dark mode toggle with localStorage persistence"
  • "Refactor API layer to use async/await instead of callbacks"
  • "Add pagination to user list with 20 items per page"
  • "Create export-to-CSV functionality for reports"

Poor use cases:

  • "Fix typo in README" (too simple)
  • "Explore best approach for state management" (exploratory)
  • "Build entire e-commerce platform" (too large, use GSD)
  • "Make the app better" (too vague)

Typical Timeline

  • Analysis: 30 seconds
  • Spec Generation: 1-2 minutes
  • Implementation: 5-15 minutes (depends on complexity)
  • QA Validation: 2-5 minutes
  • Your Review: 5-10 minutes

Total: 15-30 minutes for most features

Related

  • generic-feature-developer - Manual implementation patterns
  • debug-systematic - Systematic debugging
  • test-specialist - Testing strategies

Documentation

See ~/.claude/docs/AUTO-CLAUDE-GUIDE.md for:

  • Complete setup instructions
  • Real-world examples with detailed walkthroughs
  • Troubleshooting guide
  • Performance tips
  • Comparison with other workflows