ワンクリックで
auto-claude
Autonomous multi-agent coding with git worktree isolation, QA validation, and memory. Use for complex features requiring autonomous implementation.
メニュー
Autonomous multi-agent coding with git worktree isolation, QA validation, and memory. Use for complex features requiring autonomous implementation.
SOC 職業分類に基づく
AR/VR/XR development with Unity XR, WebXR, ARKit, ARCore, Meta Quest SDK, and spatial computing. Use when building augmented reality, virtual reality, mixed reality applications, or spatial experiences.
Solidity smart contracts, Web3 development, DeFi protocols, NFTs, EVM chains, Hardhat/Foundry tooling, and blockchain security. Use when writing smart contracts, building dApps, auditing contract security, or integrating Web3 wallets.
SOC2, HIPAA, GDPR, PCI-DSS, FedRAMP compliance implementation in code. Audit logging, data encryption, access controls, privacy by design, and regulatory requirement mapping. Use when implementing compliance controls, preparing for audits, or building privacy-compliant systems.
ETL/ELT pipelines, data warehousing (BigQuery, Snowflake, Redshift), stream processing (Kafka, Spark Streaming), orchestration (Airflow, Dagster, Prefect), dbt transformations, and data lake architecture. Use when building data pipelines, designing warehouse schemas, or implementing real-time data processing.
Developer experience (DX) engineering, SDK design patterns, API ergonomics, CLI tooling design, documentation-driven development, and developer onboarding. Use when designing SDKs, improving API ergonomics, building developer tools, or creating developer documentation.
Edge computing with Cloudflare Workers, Deno Deploy, Bun, Vercel Edge Functions, AWS Lambda@Edge, and edge databases (Turso, D1, DynamoDB Global Tables). Use when building low-latency edge applications, edge-side rendering, or globally distributed compute.
| 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 |
Autonomous multi-agent system for complex feature implementation with QA validation.
✅ Use Auto-Claude for:
❌ Don't use Auto-Claude for:
/start-task instead/gsd:new-project insteadQuick Guide:
# From project directory:
/auto-claude Add user authentication with JWT tokens
What Happens:
Output Location: ~/.auto-claude/ (gitignored)
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
Location: ~/.auto-claude/.env
Required:
CLAUDE_CODE_OAUTH_TOKEN - Get from /settings in Claude CodeOptional (Recommended):
GRAPHITI_ENABLED=true - Semantic memoryGOOGLE_API_KEY - For Gemini embeddings (memory feature)Strengths:
Limitations:
Good use cases:
Poor use cases:
Total: 15-30 minutes for most features
generic-feature-developer - Manual implementation patternsdebug-systematic - Systematic debuggingtest-specialist - Testing strategiesSee ~/.claude/docs/AUTO-CLAUDE-GUIDE.md for: