Skip to content
Agent Orchestration
Skill

/autopilot

Full autonomous execution from idea to working code

From plugin
oh-my-claudecode
41k84 skills21 agents21 commands11 hooks
+1

Claude Code

$ npx -y skills add Yeachan-Heo/oh-my-claudecode --skill autopilot --agent claude-code

SKILL.md

autopilot.SKILL.md
name: autopilot
description: Full autonomous execution from idea to working code
argument-hint: "[--workflow <name>] <product idea or task description>"
level: 4

<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
  • Budget stop (opt-in): when `OMC_RUN_BUDGET_TOKENS` is set, compare session token spend against it at each phase boundary — the `trace_summary` MCP 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:cancel` at 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>

<Steps> 1. **Phase 0 - Expansion**: Turn the user's idea into a detailed spec

  • **Optional company-
Read more
@yeachan-heo
Ships withoh-my-claudecode

For Codex users: Check out oh-my-codex — the same orchestration experience for OpenAI Codex CLI. Liked OmC but found it a bit overkill? Try gajae-code.

41k84 skills21 agents1 MCP
Get the whole plugin

Stars on GitHub

Momentum

stars in total
40.7k
Star history of Yeachan-Heo/oh-my-claudecode on GitHub, a chart by star-history.com

Other skills on oh-my-claudecode.

architect

architect

Settle types and module shape before cross-boundary code — competing designs explored in parallel, compared on API surface and…

arena

arena

Run N parallel candidates at one brief and synthesize: rubric-first framing, isolated fan-out, a cross-judge on a different…

More skills from other plugins.

1password

1password

Set up and use 1Password CLI for sign-in, desktop integration, and reading or injecting secrets.

clawdis11d393k
@steipete@steipeteInstall Skill
computer-use

computer-use

Drives the GUI of a visible local app window through `orca computer`: accessibility tree, clicks, typing, menus, dialogs, and…

orca10d111k
@stablyai@stablyaiInstall Skill
agentmail

agentmail

Use your assigned AgentMail inbox to read email tasks, explicitly send or reply, and check delivery. Provided automatically by…

paperclip10d109k
@paperclipai@paperclipaiInstall Skill
adr-create

adr-create

Create a new Architecture Decision Record with sequential numbering and AgentDB registration

@ruvnet@ruvnetInstall Skill

Questions about autopilot.

Which coding agents can use autopilot?
autopilot installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.