autopilot
Orchestrates an end-to-end autonomous development loop for building software from a short description.
Install
mkdir -p .claude/skills/autopilot && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/2653" && unzip -o skill.zip -d .claude/skills/autopilot && rm skill.zipInstalls to .claude/skills/autopilot
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Full autonomous execution from idea to working codeKey capabilities
- →Performs end-to-end requirement expansion
- →Manages multi-phase software development lifecycles
- →Executes parallel implementation of code modules
- →Runs automated QA cycles with repeated validation
- →Orchestrates plan creation, design, and testing
How it works
It runs a multi-stage sequential process that chains requirement analysis, architectural planning, and iterative QA-loop execution.
Inputs & outputs
When to use autopilot
- →Generating an entire app from a prompt
- →Autonomous end-to-end feature building
- →Rapid prototyping from initial concept
About this skill
<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
planskill instead - User says "just explain", "draft only", or "what would you suggest" -- respond conversationally
- User wants a single focused code change -- use
ralphor 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
- Budget stop (opt-in): when
OMC_RUN_BUDGET_TOKENSis set, compare session token spend against it at each phase boundary — thetrace_summaryMCP tool reports token usage. At 90% of budget, finish the current phase; at 100%, stop with a budget report, state preserved for resume. Budget exhaustion is a stop condition, not a failure. - Cancel with
/oh-my-claudecode:cancelat any time; before terminal state cleanup, run the Phase 5 closeout, and preserve resumable progress artifacts </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>
-
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
-
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
-
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)
-
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
-
Phase 5 - Closeout and Cleanup:
- Run closeout (before state cleanup): Append at most three factual lines to
.omc/notepads/autopilot/problems.md(blockers additionally in.omc/notepads/autopilot/issues.md) — what broke (3-strike QA errors, validation rejections) and what dragged (missing checks, unreachable information, environment friction). Preserve existing entries: append only and never replace the shared file. If there are no observations, append nothing; an empty closeout is valid, so do not write “no lessons.” Observations only — landing them on repo surfaces isrefit's job, with the user's approval. When the run ends in a stop-and-report escalation, also draft an incident work item with the failure signature, evidence pointers, and reopen path. Post it to a tracker only with explicit user or mode authorization; otherwise append it to.omc/notepads/autopilot/issues.md. - When the user or mode invocation explicitly authorizes publishing and draft-PR creation, draft the body with
/oh-my-claudecode:pr(verification evidence and Open Assumptions) and create the draft PR. Do not push or open a PR based on completion alone. Mark an authorized draft ready only after the user accepts the completion report. - Delete all state files on successful completion
- Remove
.omc/state/autopilot-state.json,ralph-state.json(plus stale retiredultraqa-state.json/ultrawork-state.jsonif legacy copies exist) - Run
/oh-my-claudecode:cancelfor clean exit </Steps>
- Run closeout (before state cleanup): Append at most three factual lines to
<Tool_Usage>
- Use
Task(subagent_type="oh-my-claudecode:architect", ...)
Content truncated.
When not to use it
- →Exploratory brainstorming or design discussions
- →Refining or critiquing existing manual plans
- →Small, focused bug fixes
Limitations
- →Consumes significant tokens for multi-phase cycles
- →Stops execution if errors persist through 3 cycles
How it compares
It assumes complete responsibility for the entire build lifecycle, eliminating the need for user intervention between development steps.
Compared to similar skills
autopilot side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| autopilot (this skill) | 2 | 4mo | No flags | Advanced |
| command-development | 16 | 10mo | Review | Intermediate |
| skill-forge | 11 | 10mo | Review | Intermediate |
| codex-skill | 12 | 6mo | Review | Advanced |
Try saying
Example prompts that trigger this skill in your AI assistant.
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