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npx agentmarket install skill/erenyegar-autopilot
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What's inside
- Skill name
autopilot- Description
- Full autonomous execution from idea to working code
- License
- MIT
- Instructions
- 231 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
<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
- Cancel with `/cancel` at any time; progress is preserved for resume
- If a deep-interview spec exists, use it as high-clarity phase input instead of re-expanding from scratch
- If input is too vague for reliable expansion, offer/trigger `$deep-interview` first
- Do not enter expansion/planning/execution-heavy phases until pre-context grounding exists; if fast execution is forced, proceed only with explicit risk notes
- Default to concise, evidence-dense progress and completion reporting unless the user or risk level requires more detail
- Treat newer user task updates as local overrides for the active workflow branch while preserving earlier non-conflicting constraints
- If correctness depends on additional inspection, retrieval, execution, or verification, keep using the relevant tools until the workflow is grounded
- Continue through clear, low-risk, reversible next steps automatically; ask only when the next step is materially branching, destructive, or preference-dependent
</Execution_Policy>
<Steps>
0. **Pre-context Intake (required before Phase 0 starts)**:
- Derive a task slug from the request.
- Load the latest relevant snapshot from `.omx/context/{slug}-*.md` when available.
- If no snapshot exists, create `.omx/context/{slug}-{timestamp}.md` (UTC `YYYYMMDDTHHMMSSZ`) with:
- Task statement
- Desired outcome
- Known facts/evidence
- Constraints
- Unknowns/open questions
- Likely codebase touchpoints
- If ambiguity remains high, run `explore` first for brownfield facts, then run `$deep-interview --quick <task>` before proceeding.
- Carry the snapshot path into autopilot artifacts/state so all phases share grounded context.
1. **Phase 0 - Expansion**: Turn the user's idea into a detailed spec
- If `.omx/specs/deep-interview-*.md` exists for this task: reuse it and skip redundant expansion work
- If prompt is highly vague: route to `$deep-interview` for Socratic ambiguity-gated clarification
- Analyst (THOROUGH tier): Extract requirements
- Architect (THOROUGH tier): Create technical specification
- Output: `.omx/plans/autopilot-spec.md`
2. **Phase 1 - Planning**: Create an implementation plan from the spec
- Architect (THOROUGH tier): Create plan (direct mode, no interview)
- Critic (THOROUGH tier): Validate plan
- Output: `.omx/plans/autopilot-impl.md`
3. **Phase 2 - Execution**: Implement the plan using Ralph + Ultrawork
- LOW-tier executor/search roles: Simple tasks
- STANDARD-tier executor roles: Standard tasks
- THOROUGH-tier executor/architect roles: Complex tasks
- Run independent tasks in parallel
4. **Phase 3 - QA**: Cycle until all tests pass (UltraQA mode)
- Build, lint, test, fix failures
- Repeat up to 5 cycles
- Stop early if the same error repeats 3 times (indicates a fundamental issue)
5. **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
6. **Phase 5 - Cleanup**: Clear all mode state via OMX MCP tools on successful completion
- `state_clear({mode: "autopilot"})`
- `state_clear({mode: "ralph"})`
- `state_clear({mode: "ultrawork"})`
- `state_clear({mode: "ultraqa"})`
- Or run `/cancel` for clean exit
</Steps>
<Tool_Usage>
- Before first MCP tool use, call `ToolSearch("mcp")` to discover deferred MCP tools
- Use `ask_codex` with `agent_role: "architect"` for Phase 4 architecture validation
- Use `ask_codex` with `agent_role: "security-reviewer"` for Phase 4 security review
- Use `ask_codex` with `agent_role: "code-reviewer"` for Phase 4 quality review
- Agents form their own analysis first, then consult Codex for cross-validation
- If ToolSearch finds no MCP tools or Codex is unavailable, proceed without it -- never block on external tools
</Tool_Usage>
## State Management
Use `omx_state` MCP tools for autopilot lifecycle state.
- **On start**:
`state_write({mode: "autopilot", active: true, current_phase: "expansion", started_at: "<now>", state: {context_snapshot_path: "<snapshot-path>"}})`
- **On phase transitions**:
`state_write({mode: "autopilot", current_phase: "planning"})`
`state_write({mode: "autopilot", current_phase: "execution"})`
`state_write({mode: "autopilot", current_phase: "qa"})`
`state_write({mode: "autopilot", current_phase: "validation"})`
- **On completion**:
`state_write({mode: "autopilot", active: false, current_phase: "complete", completed_at: "<now>"})`
- **On cancellation/cleanup**:
run `$cancel` (which should call `state_clear(mode="autopilot")`)
## Scenario Examples
**Good:** The user says `continue` after the workflow already has a clear next step. Continue the current branch of work instead of restarting or re-asking the same question.From ErenYegar/oh-my-codex-app, MIT.
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Mar 7, 2026 (7 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/ErenYegar/oh-my-codex-app
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
autopilot skill. Agent Mart. https://agentmart.dev/skills/erenyegar-autopilot (last updated 2026-10-24)