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npx agentmarket install skill/leejaedus-autopilot
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What's inside
- Skill name
autopilot- Description
- Full autonomous execution from idea to working code
- License
- MIT
- Instructions
- 151 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
<Purpose>
Autopilot takes a brief product idea and autonomously handles the full lifecycle: requirements analysis, technical design, planning, parallel implementation, QA cycling, and multi-perspective validation. It produces working, verified code from a 2-3 line description.
</Purpose>
<Use_When>
- User wants end-to-end autonomous execution from an idea to working code
- User says "autopilot", "auto pilot", "autonomous", "build me", "create me", "make me", "full auto", "handle it all", or "I want a/an..."
- Task requires multiple phases: planning, coding, testing, and validation
- User wants hands-off execution and is willing to let the system run to completion
</Use_When>
<Do_Not_Use_When>
- User wants to explore options or brainstorm -- use `plan` skill instead
- User says "just explain", "draft only", or "what would you suggest" -- respond conversationally
- User wants a single focused code change -- use `ralph` or delegate to an executor agent
- User wants to review or critique an existing plan -- use `plan --review`
- Task is a quick fix or small bug -- use direct executor delegation
</Do_Not_Use_When>
<Why_This_Exists>
Most non-trivial software tasks require coordinated phases: understanding requirements, designing a solution, implementing in parallel, testing, and validating quality. Autopilot orchestrates all of these phases automatically so the user can describe what they want and receive working code without managing each step.
</Why_This_Exists>
<Execution_Policy>
- Each phase must complete before the next begins
- Parallel execution is used within phases where possible (Phase 2 and Phase 4)
- QA cycles repeat up to 5 times; if the same error persists 3 times, stop and report the fundamental issue
- Validation requires approval from all reviewers; rejected items get fixed and re-validated
- Cancel with `/pepcode:cancel` at any time; progress is preserved for resume
</Execution_Policy>
<Steps>
1. **Phase 0 - Expansion**: Turn the user's idea into a detailed spec
- Analyst (Opus): Extract requirements
- Architect (Opus): Create technical specification
- Output: `.pep/autopilot/spec.md`
2. **Phase 1 - Planning**: Create an implementation plan from the spec
- Architect (Opus): Create plan (direct mode, no interview)
- Critic (Opus): Validate plan
- Output: `.pep/plans/autopilot-impl.md`
3. **Phase 2 - Execution**: Implement the plan using Ralph + Ultrawork
- Executor-low (Haiku): Simple tasks
- Executor (Sonnet): Standard tasks
- Executor-high (Opus): Complex tasks
- Run independent tasks in parallel
4. **Phase 3 - QA**: Cycle until all tests pass (UltraQA mode)
- Build, lint, test, fix failures
- Repeat up to 5 cycles
- Stop early if the same error repeats 3 times (indicates a fundamental issue)
5. **Phase 4 - Validation**: Multi-perspective review in parallel
- Architect: Functional completeness
- Security-reviewer: Vulnerability check
- Code-reviewer: Quality review
- All must approve; fix and re-validate on rejection
6. **Phase 5 - Cleanup**: Delete all state files on successful completion
- Remove `.pep/state/autopilot-state.json`, `ralph-state.json`, `ultrawork-state.json`, `ultraqa-state.json`
- Run `/pepcode:cancel` for clean exit
</Steps>
<Tool_Usage>
- Before first MCP tool use, call `ToolSearch("mcp")` to discover deferred MCP tools
- Optionally use `ask_gemini` with `agent_role: "architect"` for Phase 4 architecture validation when changes span many files
- Agents form their own analysis first, then optionally consult Gemini for large-context cross-validation
- If ToolSearch finds no MCP tools, proceed without external validation -- never block on external tools
</Tool_Usage>
<Examples>
<Good>
User: "autopilot A REST API for a bookstore inventory with CRUD operations using TypeScript"
Why good: Specific domain (bookstore), clear features (CRUD), technology constraint (TypeScript). Autopilot has enough context to expand into a full spec.
</Good>
<Good>
User: "build me a CLI tool that tracks daily habits with streak counting"
Why good: Clear product concept with a specific feature. The "build me" trigger activates autopilot.
</Good>
<Bad>
User: "fix the bug in the login page"
Why bad: This is a single focused fix, not a multi-phase project. Use direct executor delegation or ralph instead.
</Bad>
<Bad>
User: "what are some good approaches for adding caching?"
Why bad: This is an exploration/brainstorming request. Respond conversationally or use the plan skill.
</Bad>
</Examples>
<Escalation_And_Stop_Conditions>
- Stop and report when the same QA error persists across 3 cycles (fundamental issue requiring human input)
- Stop and report when validation keeps failing after 3 re-validation rounds
- Stop when the user says "stop", "cancel", or "abort"
- If requirements were too vague and expansion produces an unclear spec, pause and ask the user for clarification before proceeding
</Escalation_And_Stop_Conditions>
<Final_Checklist>
- [ ] All 5 phases completed (Expansion, Planning, Execution, QA, Validation)
- [ ] All validators approved in Phase 4
- [ ] Tests pass (verified with fresh test run output)
- [ ] Build succeeds (verified with fresh build output)
- [ ] State files cleaned up
- [ ] User informed of completion with summary of what was built
</Final_Checklist>
<Advanced>
## Configuration
Optional settings in `.claude/settings.json`:
```json
{
"pep": {
"autopilot": {
"maxIterations": 10,From leejaedus/pepcode, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Feb 12, 2026 (8 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/leejaedus/pepcode
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
autopilot skill. Agent Mart. https://agentmart.dev/skills/leejaedus-autopilot (last updated 2026-10-24)