Full autonomous execution from idea to working code
<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><Workflow_Profiles>
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 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>
Phase 1 - Planning: Create an implementation plan from the spec
.omc/plans/autopilot-impl.mdPhase 2 - Execution: Implement the plan using executor agents with Ralph persistence when needed
Phase 3 - QA: Cycle until all tests pass
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 (plus stale retired ultraqa-state.json/ultrawork-state.json if legacy copies exist)/oh-my-claudecode:cancel for clean exit
</Steps>
<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 reviewCLAUDE_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.<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>
.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.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:
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-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.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 using executor agents and Ralph persistence. </Advanced>
Gemini CLI for one-shot Q&A, summaries, and generation.
Send WhatsApp messages to other people or search/sync WhatsApp history via the wacli CLI (not for normal user chats).
Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries.
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Use the ClawHub CLI to search, install, update, and publish agent skills from clawhub.com. Use when you need to fetch new skills on the fly, sync installed skills to latest or a specific version, or publish new/updated skill folders with the npm-installed clawhub CLI.
Use the mcporter CLI to list, configure, auth, and call MCP servers/tools directly (HTTP or stdio), including ad-hoc servers, config edits, and CLI/type generation.
Category:developer