Fully autonomous AI agent orchestrator — Give it a goal, it runs everything end-to-end without confirmation.
Works with Claude Code, OpenClaude, GitHub Copilot CLI, Cursor, and Kilo.
Most AI coding assistants stop and ask "should I continue?" between every step. Autopilot doesn't.
You: /autopilot "build a REST API with JWT auth and tests"
Agent: [discovered 12 skills, 3 MCP servers, 6 CLI tools]
[6 phases detected → mapped to 4 skills + codegraph + playwright]
[planning → implementing → testing → reviewing → shipping]
Done. All tests pass. Ready to merge.
Zero confirmations. Full autonomy. End-to-end execution.
# Install the skill
npm i -g autopilot-agent-skill
# Or use npx (no install)
npx autopilot-agent-skillnpx autopilot-agent-skill # Install the skill
npx autopilot-agent-skill --update # Update to latest version
npx autopilot-agent-skill --remove # Uninstall the skill
npx autopilot-agent-skill --list # Show installed skills
npx autopilot-agent-skill --version # Show current version
npx autopilot-agent-skill --help # Show help| CLI | Status | Skills Directory |
|---|---|---|
| Claude Code | ✓ Supported | ~/.claude/skills/ |
| OpenClaude | ✓ Supported | ~/.openclaude/skills/ |
| GitHub Copilot | ✓ Supported | ~/.config/github-copilot/skills/ |
| Cursor | ✓ Supported | ~/.cursor/skills/ |
| Kilo | ✓ Supported | ~/.config/kilo/skills/ |
| Custom | ✓ Supported | Any path you specify |
1. Memory Check → Read MEMORY.md; apply past decisions
2. Discovery → Scan skills, MCP servers, CLI tools, project context
3. Analysis → Parse goal, identify type/scope/constraints
4. Phase Detection → Decompose into minimal viable phases
5. Skill Mapping → Map each phase to best skill + MCP + CLI
6. Session Plan → Write checkpoint file (.local/session_plan.md)
7. Execution → Run phases sequentially or in parallel
8. Monitoring → Typecheck + build + tests after each phase
9. Verification → Final build, test, lint, security checks
10. Completion → Clean up, update memory, report
- Smart Discovery — Automatically finds your skills, MCP servers, and CLI tools across 5 CLI platforms
- Memory-Aware — Reads past decisions from MEMORY.md before starting
- Phase Decomposition — Breaks any goal into minimal viable phases with dependency tracking
- Dynamic Skill Mapping — Routes each phase to your best installed skill + MCP tools + CLI tools
- Prompt Generation — 6 phase templates (Plan, Implement, Test, Review, Debug, Ship) with customization
- Parallel Execution — Runs independent phases concurrently via background agents
- Self-Healing — Retries failed phases with adjusted prompts; Root Cause Analysis + Incremental Rollback
- Context-Aware — Uses Codegraph MCP for codebase understanding; respects 10-file read limit per turn
- Checkpoint/Resume — Session plan enables resume from interruption
- Final Verification — Builds, tests, lints, and security scans before reporting done
- Zero Config — Works out of the box
/autopilot "add a health check endpoint to my API"
/autopilot "fix the login timeout error"
/autopilot "build a user authentication system with JWT, tests, and docs"
See examples/ for detailed walkthroughs.
See CONTRIBUTING.md for development setup and guidelines.
MIT © Mahmoud20