auto-claude: Design & UI for AI Agents | OpenAgentSkill

Overview

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

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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

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

Workflow

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

What Happens:

Analyzes project structure → generates baseline
Creates implementation spec → stores in ~/.auto-claude/specs/
Creates git worktree → isolated development environment
Autonomous agents implement → with QA loops
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

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

View source ↗

File metadata

name: auto-claude
description: Autonomous multi-agent coding with git worktree isolation, QA validation, and memory. Use for complex features requiring autonomous implementation.
disable-model-invocation: true

View original text

---
name: auto-claude
description: Autonomous multi-agent coding with git worktree isolation, QA validation, and memory. Use for complex features requiring autonomous implementation.
disable-model-invocation: true
---

# 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

```bash
# 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

Review the source

Skill source recorded

Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.

Review before install: Avoid automatic install

License: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
The skill relies on external services (Graphiti, Google API) for memory, which may introduce additional dependencies and potential data privacy considerations.
Autonomous code execution, while isolated in a git worktree, still carries inherent risks if the user provides malicious or unintended instructions; the skill does not explicitly enforce additional sandboxing beyond the worktree.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 95 GitHub stars
Stars/forks activity: 95 stars, 23 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

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Source & usage notes

Indexed

Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

Source repository: travisjneuman/.claude
License: MIT
Version: 1.0.0
Last GitHub push: Sep 5, 2026
Registry updated: Sep 7, 2026
Instruction path: skills/auto-claude/SKILL.md @ 0e5a7dfe253b

Version reported in registry metadata; check source releases before relying on it.

Quality

66/100

Promising

Trust

56/100

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More details

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Creator: travisjneuman
Source: travisjneuman/.claude
Indexed by: OpenAgentSkill community index

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