소스 정보
- 저장소
- yangyuan-zhen/PolyWeather
- 최근 소스 활동
- 2026년 4월 25일 23:41
- 감지된 SKILL.md 언어
- 영어
- 스타
- 287
- 포크
- 72
설치 방법
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
소스 파일 검토
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
메뉴
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/yangyuan-zhen/PolyWeather --skill autopilot명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
SKILL.md 표시 중
SOC 직업 분류 기준
| name | autopilot |
| description | [OMX] 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>
/cancel at any time; progress is preserved for resume$deep-interview firstPhase 0 - Expansion: Turn the user's idea into a detailed spec
.omx/specs/deep-interview-*.md exists for this task: reuse it and skip redundant expansion work$deep-interview for Socratic ambiguity-gated clarification.omx/plans/autopilot-spec.mdPhase 1 - Planning: Create an implementation plan from the spec
.omx/plans/autopilot-impl.mdPhase 2 - Execution: Implement the plan using Ralph + Ultrawork
Phase 3 - QA: Cycle until all tests pass (UltraQA mode)
Phase 4 - Validation: Multi-perspective review in parallel
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"})/cancel for clean exit
<Tool_Usage>
ToolSearch("mcp") to discover deferred MCP toolsask_codex with agent_role: "architect" for Phase 4 architecture validationask_codex with agent_role: "security-reviewer" for Phase 4 security reviewask_codex with agent_role: "code-reviewer" for Phase 4 quality reviewUse omx_state MCP tools for autopilot lifecycle state.
state_write({mode: "autopilot", active: true, current_phase: "expansion", started_at: "<now>", state: {context_snapshot_path: "<snapshot-path>"}})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"})state_write({mode: "autopilot", active: false, current_phase: "complete", completed_at: "<now>"})$cancel (which should call state_clear(mode="autopilot"))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.
Good: The user changes only the output shape or downstream delivery step (for example make a PR). Preserve earlier non-conflicting workflow constraints and apply the update locally.
Bad: The user says continue, and the workflow restarts discovery or stops before the missing verification/evidence is gathered.
<Escalation_And_Stop_Conditions>
$deep-interview before proceeding
</Escalation_And_Stop_Conditions><Final_Checklist>
Optional settings in ~/.codex/config.toml:
[omx.autopilot]
maxIterations = 10
maxQaCycles = 5
maxValidationRounds = 3
pauseAfterExpansion = false
pauseAfterPlanning = false
skipQa = false
skipValidation = false
If autopilot was cancelled or failed, run /autopilot again to resume from where it stopped.
For ambiguous requests, prefer:
deep-interview -> ralplan -> autopilot
deep-interview: ambiguity-gated Socratic requirementsralplan: consensus planning (planner/architect/critic)autopilot: execution + QA + validationAutopilot can be driven by the configurable pipeline orchestrator (src/pipeline/), which
sequences stages through a uniform PipelineStage interface:
RALPLAN (consensus planning) -> team-exec (Codex CLI workers) -> ralph-verify (architect verification)
Pipeline configuration options:
[omx.autopilot.pipeline]
maxRalphIterations = 10 # Ralph verification iteration ceiling
workerCount = 2 # Number of Codex CLI team workers
agentType = "executor" # Agent type for team workers
The pipeline persists state via pipeline-state.json and supports resume from the last
incomplete stage. See src/pipeline/orchestrator.ts for the full API.
Stuck in a phase? Check TODO list for blocked tasks, run state_read({mode: "autopilot"}), 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.