con un clic
autopilot
Full autonomous execution from idea to working code
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
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Full autonomous execution from idea to working code
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
Basado en la clasificación ocupacional SOC
Orchestrator for all 7 Laws of AI Agent Discipline. Walks an agent-emitted recommendation list top-to-bottom under the 7 Laws — restate, route per item, verify before advancing, reflect at the end, close with the mandatory three-section block. Standalone with inline fallbacks; trigger phrases are matched by the companion hook, not enumerated here.
Enforces Law 4 (Verify Before Reporting) of the 7 Laws of AI Agent Discipline. Reviews the current diff for over-engineering (code that could reuse an existing file, a stdlib or native feature, or fewer lines) and reports trim findings without touching code, so 'it works' is never mistaken for 'it is the minimum that works'.
Enforces Law 4 (Verify Before Reporting) of the 7 Laws of AI Agent Discipline at the deploy seam. A merge into a branch that auto-deploys is not "done" until the deploy provider reports the merged commit SHA running and a healthcheck endpoint returns 200. Companion to the vendored `finishing-a-development-branch` skill — does not replace it, runs after it for projects on Railway, Cloudflare Workers, Vercel, Netlify, Fly.io, or any other auto-deploy target.
Enforces Law 1 (Research Before Executing) of the 7 Laws of AI Agent Discipline. Fact-forcing gate that blocks Edit/Write/Bash (including MultiEdit) and demands concrete investigation (importers, data schemas, user instruction) before allowing the action. Measurably improves output quality by +2.25 points vs ungated agents.
Enforces Law 1 (Research Before Executing) of the 7 Laws of AI Agent Discipline. Establishes git ground truth — branch, status, stashes, worktrees, ahead/behind — before any mutation, halts on protected or destructive operations, then carries the known-good state through to a landed PR: stage by filename, commit one concern, push the feature branch, verify the push landed, open the PR, and after the PR merges fast-forward the default branch and check it out.
Enforces Law 4 (Verify Before Reporting) of the 7 Laws of AI Agent Discipline. A comprehensive verification system for agent coding sessions covering build, types, lint, tests, security, and diff with a PASS/FAIL report.
| name | autopilot |
| description | Full autonomous execution from idea to working code |
| argument-hint | <product idea or task description> |
| level | 4 |
<Use_When>
<Do_Not_Use_When>
plan skill insteadralph or delegate to an executor agentplan --review<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>
/oh-my-claudecode:cancel at any time; progress is preserved for resume
</Execution_Policy>Phase 1 - Planning: Create an implementation plan from the spec
.omc/plans/autopilot-impl.mdPhase 2 - Execution: Implement the plan using Ralph + Ultrawork
Phase 3 - QA: Cycle until all tests pass (UltraQA mode)
Phase 4 - Validation: Multi-perspective review in parallel
Phase 5 - Cleanup: Delete all state files on successful completion
.omc/state/autopilot-state.json, ralph-state.json, ultrawork-state.json, ultraqa-state.json/oh-my-claudecode:cancel for clean exit
<Tool_Usage>
Task(subagent_type="oh-my-claudecode:architect", ...) for Phase 4 architecture validationTask(subagent_type="oh-my-claudecode:security-reviewer", ...) for Phase 4 security reviewTask(subagent_type="oh-my-claudecode:code-reviewer", ...) for Phase 4 quality review<Escalation_And_Stop_Conditions>
/deep-interview for Socratic clarification, or pause and ask the user for clarification before proceeding
</Escalation_And_Stop_Conditions><Final_Checklist>
Optional settings in .claude/omc.jsonc (project) or ~/.config/claude-omc/config.jsonc (user):
{
"autopilot": {
"maxIterations": 10,
"maxQaCycles": 5,
"maxValidationRounds": 3,
"pauseAfterExpansion": false,
"pauseAfterPlanning": false,
"skipQa": false,
"skipValidation": false
}
}
If autopilot was cancelled or failed, run /oh-my-claudecode:autopilot again to resume from where it stopped.
Stuck in a phase? Check TODO list for blocked tasks, review .omc/autopilot-state.json, or cancel and resume.
QA cycles exhausted? The same error 3 times indicates a fundamental issue. Review the error pattern; manual intervention may be needed.
Validation keeps failing? Review the specific issues. Requirements may have been too vague -- cancel and provide more detail.
When autopilot is invoked with a vague input, Phase 0 can redirect to /deep-interview for Socratic clarification:
User: "autopilot build me something cool"
Autopilot: "Your request is open-ended. Would you like to run a deep interview first?"
[Yes, interview first (Recommended)] [No, expand directly]
If a deep-interview spec already exists at .omc/specs/deep-interview-*.md, autopilot uses it directly as Phase 0 output (the spec has already been mathematically validated for clarity).
The recommended full pipeline chains three quality gates:
/deep-interview "vague idea"
→ Socratic Q&A → spec (ambiguity ≤ 20%)
→ /ralplan --direct → consensus plan (Planner/Architect/Critic approved)
→ /autopilot → skips Phase 0+1, starts at Phase 2 (Execution)
When autopilot detects a ralplan consensus plan (.omc/plans/ralplan-*.md or .omc/plans/consensus-*.md), it skips both Phase 0 (Expansion) and Phase 1 (Planning) because the plan has already been:
Autopilot starts directly at Phase 2 (Execution via Ralph + Ultrawork).