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autopilot

Full autonomous execution from idea to working code

¿Qué es autopilot?

autopilot is a Claude Code agent skill that full autonomous execution from idea to working code.

Compatible conClaude Code~Codex CLICursor
npx skills add https://github.com/Yeachan-Heo/oh-my-claudecode/tree/main/skills/autopilot

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Abre un nuevo chat con esta habilidad de agente ya precargada.

Documentación

<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 /oh-my-claudecode:cancel at any time; progress is preserved for resume </Execution_Policy>

<Workflow_Profiles>

Named stage profiles (v1)

Select a configured profile only with /autopilot --workflow <name> <task>. A profile is an autopilot-owned stage schedule, not a command, mode, plugin, filename, or separate state identity. Without --workflow, autopilot retains its legacy lifecycle and behavior.

Named workflow profiles require Linux with the flock utility in v1 because their transcript evidence boundary uses Linux no-follow file-descriptor traversal and their recoverable mutation lock uses kernel advisory locking. Unsupported environments reject explicit --workflow activation before state mutation; use legacy autopilot instead.

Profiles are configured in project or user JSONC as autopilot.workflows.<slug>. Every v1 profile has exactly version: 1 and stages; no other profile keys are accepted. The only admitted stage sequences are:

{
  "autopilot": {
    "workflows": {
      "plan-build-qa": {
        "version": 1,
        "stages": ["ralplan", "execution", "qa"]
      }
    }
  }
}
[ralplan, execution]
[ralplan, execution, ralph]
[ralplan, execution, qa]
[ralplan, execution, ralph, qa]

ralplan creates the plan consumed by execution; execution creates the implemented workspace required by ralph and qa. Thus omitted or reordered prerequisites, duplicate stages, and non-built-in stages are invalid. Profile names use ^[a-z][a-z0-9-]{0,62}$, are validated metadata only, and cannot collide with built-in stages, autopilot/mode names, or deprecated aliases.

User and project configuration sources are each validated before composition. Different names coexist; a project profile with the same name replaces the complete user profile rather than deep-merging it. Environment configuration cannot define or replace profiles.

On successful selection, autopilot atomically creates its existing session-scoped state with an immutable normalized descriptor and selected-only pipeline tracking. The descriptor contains the workflow name, profile version, canonical stages, and a deterministic SHA-256 profile hash; it excludes task text and mutable progress. Resume and Stop verify that hash and refuse a mismatch without reloading configuration or emitting a stage prompt. Cancel, resume, cleanup, state inspection, HUD, and Stop continuation remain owned by autopilot.

The installed plugin and standalone-installed Stop hooks advance only after an authorized assistant completion record for the active stage appears after that stage's persisted activation transcript boundary. They bind evidence to the owner session and bounded, non-symlink transcript; reject user/tool/local-command output and stale or wrong-stage evidence; and use compare-before-write tracking updates so duplicate or concurrent Stop events advance exactly once. Public state, HUD, and Stop output show only safe workflow metadata and progress, never the task, descriptor internals, transcript references, offsets, or record hashes.

V1 deferrals

V1 does not support stageModels, model routing, provider or role selection; inline/no-spawn execution; dynamic commands, modes, or state files; arbitrary stages, prompts, plugins, branches, loops, DAGs, or callbacks; or environment-defined profile definitions. The separate custom-skill inline-array frontmatter parser mismatch is also deferred. </Workflow_Profiles>

  1. Phase 1 - Planning: Create an implementation plan from the spec

    • If ralplan consensus plan exists: Skip — already done in the 3-stage pipeline
    • Architect (Opus): Create plan (direct mode, no interview)
    • Critic (Opus): Validate plan
    • Output: .omc/plans/autopilot-impl.md
  2. Phase 2 - Execution: Implement the plan using executor agents with Ralph persistence when needed

    • Executor (Haiku): Simple tasks
    • Executor (Sonnet): Standard tasks
    • Executor (Opus): Complex tasks
    • Run independent tasks in parallel
  3. Phase 3 - QA: Cycle until all tests pass

    • Build, lint, test, fix failures
    • Repeat up to 5 cycles
    • Stop early if the same error repeats 3 times (indicates a fundamental issue)
  4. 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
  5. Phase 5 - Cleanup: Delete all state files on successful completion

    • Remove .omc/state/autopilot-state.json, ralph-state.json (plus stale retired ultraqa-state.json/ultrawork-state.json if legacy copies exist)
    • Run /oh-my-claudecode:cancel for clean exit

<Tool_Usage>

  • Use Task(subagent_type="oh-my-claudecode:architect", ...) for Phase 4 architecture validation
  • Use Task(subagent_type="oh-my-claudecode:security-reviewer", ...) for Phase 4 security review
  • Use Task(subagent_type="oh-my-claudecode:code-reviewer", ...) for Phase 4 quality review
  • Agents form their own analysis and return it; the LEAD then spawns any cross-validation agents itself. Do not rely on a subagent spawning further subagents without checking the Claude Code depth setting: Claude Code 2.1.217–2.1.218 defaulted CLAUDE_CODE_MAX_SUBAGENT_SPAWN_DEPTH to 1, while 2.1.219+ defaults to 3. Keep cross-validation at the LEAD level unless nested delegation is deliberate and supported by the active runtime.
  • Never block on external tools; proceed with available agents if delegation fails </Tool_Usage>

<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, offer redirect to /deep-interview for Socratic clarification, or 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>

Parallel session caveats

  • Multi-repo workspace anchor: drop a .omc-workspace marker at the parent directory so multiple sessions across sub-repos share one .omc/. Resolution order: OMC_STATE_DIR > .omc-workspace > git > cwd. See docs/REFERENCE.md.
  • Session id source: OMC_SESSION_ID env var wins in CLI contexts; hook payload data.session_id wins in hook contexts.
  • Plan id (when applicable): Autopilot state is session-scoped. Two autopilots in the same workspace require distinct session IDs.
  • Parallel verdict: supported (session-scoped state)

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,
    "execution": "solo"
  }
}

To run autopilot implementation through the tmux CLI team runtime and prefer Cursor executor workers:

{
  "autopilot": {
    "execution": "team",
    "team": { "agentTypes": ["cursor"] }
  }
}

With that config, the execution stage must launch executor-style work through:

omc team 1:cursor "<implementation task>"

or the Claude Code slash compatibility surface:

/omc-teams 1:cursor "<implementation task>"

Limitations:

  • Cursor workers support implementation and reviewer-style team roles. critic, code-reviewer, security-reviewer, and test-engineer workers must emit the structured verdict file consumed by the team leader; final approval remains a lead-session responsibility.
  • Cursor requires the cursor-agent CLI to be installed and authenticated. If cursor-agent is unavailable, report that setup requirement instead of silently falling back to Claude-only execution.

Resume

If autopilot was cancelled or failed, run /oh-my-claudecode:autopilot again to resume from where it stopped.

Best Practices for Input

  1. Be specific about the domain -- "bookstore" not "store"
  2. Mention key features -- "with CRUD", "with authentication"
  3. Specify constraints -- "using TypeScript", "with PostgreSQL"
  4. Let it run -- avoid interrupting unless truly needed

Troubleshooting

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.

Deep Interview Integration

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).

3-Stage Pipeline: deep-interview → ralplan → autopilot

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:

  • Requirements-validated (deep-interview ambiguity gate)
  • Architecture-reviewed (ralplan Architect agent)
  • Quality-checked (ralplan Critic agent)

Autopilot starts directly at Phase 2 using executor agents and Ralph persistence.

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

agent-doc-discipline

Writing-time discipline for documents agents consume (the five surfaces, specs, tickets, .omc/skills/) — every rule checkable and carrying a why, steps before reference, one meaning in one home, no restating what the environment already says. Mandatory at drydock seed generation and the launch C5 sediment pass; opt-in for any other agent-facing doc edit. The companion of minimal-code-discipline: that one disciplines code, this one disciplines papers.

ai-slop-cleaner

Clean AI-generated code slop with a regression-safe, deletion-first workflow and optional reviewer-only mode

ask

Process-first advisor routing for Claude, Codex, Gemini, Antigravity, Grok, or Cursor via `omc ask`, with artifact capture and no raw CLI assembly

ask-navigator

Shipyard

autoresearch

Stateful single-mission improvement loop with strict evaluator contract, markdown decision logs, and max-runtime stop behavior

cancel

Cancel any active OMC mode (autopilot, ralph, ultragoal, swarm, ultrapilot, pipeline, team) and clean up retired legacy state

configure-notifications

Configure notification integrations (Telegram, Discord, Slack) via natural language

debug

Diagnose the current OMC session or repo state using logs, traces, state, and focused reproduction

deepinit

Deep codebase initialization with hierarchical AGENTS.md documentation

deep-interview

Socratic deep interview with mathematical ambiguity gating before explicit execution approval

drydock

Lay the keel of the shipyard harness in any repo — the 4-pillar shared environment (Context, Rules, Tools, Standards) across 5 surfaces (CLAUDE.md, skills, design-system, mcp/cli, shared context) so that every human and agent inherits the same design language and anyone can ship. Run once per repo; re-run with --check to audit drift.

execute

Carry an approved task through to working, verified code

external-context

Invoke parallel document-specialist agents for external web searches and documentation lookup

graph

Deterministic orchestration graph runtime - declarative DAG pipelines with journal-based crash recovery

harbor

Harbor intake for external work — the captain only handles unresolved decisions. Sweeps incoming issues and PRs, verifies every claim before disposition, reuses every decision already made, and hands the maintainer a docket whose pending items each carry one question with options, recommendation, impact and evidence. Agent-autonomous for facts and for actions covered by standing authorization; signed for every new judgment. Never merges.

hud

Configure HUD display options (layout, presets, display elements)

launch

Shipyard

loft

Loft the shape before cutting steel — answer a design question that prose cannot settle by building a throwaway artifact: a pure logic module in a clickable shell, or structurally different UI variants behind one route. The captain reacts to the artifact; the answer folds into the decision; the artifact never docks. Use when a design question stalls in words, when a navigator map carries a loft ticket, or when a spec discussion reaches

minimal-code-discipline

YAGNI-ladder coding discipline for writing changes — existence-first, reuse before writing, dependency ladder, shortest correct diff, with non-negotiables that must never be minimized away

omc-doctor

Diagnose and fix oh-my-claudecode installation issues

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