Shipyard의 통제된 전달 파이프라인 — 미션을 수렴하고, 내구성 있는 명세를 합성하며, 차단 경계가 있는 수직 슬라이스 티켓을 분해하고, 팀을 통해 병렬로 프런티어를 실행하며, 검증으로 마무리하고, 전체 결정 로그를 보고합니다. 두 개의 진입 게이트 — 야드 게이트(드라이독 감사)와 포그 게이트(목적지가 불분명한 작업은 이 파이프라인이 시작되기 전에 /ask-navigator로 라우팅됩니다). 고유한 답변이 없거나 오류 비용이 심각한 체크포인트는 사람이 소유합니다; 에이전트는 그 외의 모든 것을 자동화합니다.
이 스킬은 Shipyard의 통제된 전달 파이프라인을 구현한 Claude Code용 사용자 정의 스킬입니다. 개발자가 복잡한 소프트웨어 전달 워크플로우를 구조화된 단계로 분해하여 실행할 수 있도록 지원합니다. 주요 단계로는 미션 수렴, 내구성 있는 명세 합성, 차단 경계가 있는 수직 슬라이스 티켓 분해, 팀 기반 병렬 프런티어 실행, 검증, 전체 결정 로그 보고가 포함됩니다. 두 개의 진입 게이트(야드 게이트와 포그 게이트)를 통해 품질과 방향성을 보장하며, 고유한 답변이 없거나 오류 비용이 심각한 체크포인트는 사람이 직접 관리합니다. 이 스킬은 Claude Code 환경에서 사용되며, 에이전트가 자동화할 수 있는 부분과 사람의 개입이 필요한 부분을 명확히 구분하여 효율적인 협업을 가능하게 합니다.
npx skills add Yeachan-Heo/oh-my-claudecodeShipyard의 통제된 전달 파이프라인 — 미션을 수렴하고, 내구성 있는 명세를 합성하며, 차단 경계가 있는 수직 슬라이스 티켓을 분해하고, 팀을 통해 병렬로 프런티어를 실행하며, 검증으로 마무리하고, 전체 결정 로그를 보고합니다. 두 개의 진입 게이트 — 야드 게이트(드라이독 감사)와 포그 게이트(목적지가 불분명한 작업은 이 파이프라인이 시작되기 전에 /ask-navigator로 라우팅됩니다). 고유한 답변이 없거나 오류 비용이 심각한 체크포인트는 사람이 소유합니다; 에이전트는 그 외의 모든 것을 자동화합니다.
This repo contains 20 individual skills — each has its own dedicated page.
Writing-time discipline for documents agents consume (the five surfaces, specs, tickets, .omc/skills/) — every rule checkable and carrying a why, steps before reference, one meaning in one home, no restating what the environment already says. Mandatory at drydock seed generation and the launch C5 sediment pass; opt-in for any other agent-facing doc edit. The companion of minimal-code-discipline: that one disciplines code, this one disciplines papers.
Clean AI-generated code slop with a regression-safe, deletion-first workflow and optional reviewer-only mode
Process-first advisor routing for Claude, Codex, Gemini, Antigravity, Grok, or Cursor via `omc ask`, with artifact capture and no raw CLI assembly
Shipyard
Full autonomous execution from idea to working code
Stateful single-mission improvement loop with strict evaluator contract, markdown decision logs, and max-runtime stop behavior
Cancel any active OMC mode (autopilot, ralph, ultragoal, swarm, ultrapilot, pipeline, team) and clean up retired legacy state
Configure notification integrations (Telegram, Discord, Slack) via natural language
Diagnose the current OMC session or repo state using logs, traces, state, and focused reproduction
Deep codebase initialization with hierarchical AGENTS.md documentation
Socratic deep interview with mathematical ambiguity gating before explicit execution approval
Lay the keel of the shipyard harness in any repo — the 4-pillar shared environment (Context, Rules, Tools, Standards) across 5 surfaces (CLAUDE.md, skills, design-system, mcp/cli, shared context) so that every human and agent inherits the same design language and anyone can ship. Run once per repo; re-run with --check to audit drift.
Carry an approved task through to working, verified code
Invoke parallel document-specialist agents for external web searches and documentation lookup
Deterministic orchestration graph runtime - declarative DAG pipelines with journal-based crash recovery
Harbor intake for external work — the captain only handles unresolved decisions. Sweeps incoming issues and PRs, verifies every claim before disposition, reuses every decision already made, and hands the maintainer a docket whose pending items each carry one question with options, recommendation, impact and evidence. Agent-autonomous for facts and for actions covered by standing authorization; signed for every new judgment. Never merges.
Configure HUD display options (layout, presets, display elements)
Shipyard
Loft the shape before cutting steel — answer a design question that prose cannot settle by building a throwaway artifact: a pure logic module in a clickable shell, or structurally different UI variants behind one route. The captain reacts to the artifact; the answer folds into the decision; the artifact never docks. Use when a design question stalls in words, when a navigator map carries a loft ticket, or when a spec discussion reaches
YAGNI-ladder coding discipline for writing changes — existence-first, reuse before writing, dependency ladder, shortest correct diff, with non-negotiables that must never be minimized away
Extract frames or short clips from videos using ffmpeg.
Summarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.
Use when testing, fixing, or extending the OpenClaw Control UI GUI with Vitest + Playwright end-to-end checks, mocked Gateway WebSocket flows, mocked dashboard runs, screenshots/videos, or agent-verifiable browser proof.
Obra superpowers agent skills.
See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio...
End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.