変更が本当に機能することを確認してから、完了を宣言します。
このスキルは、開発者が機能、修正、またはリファクタリングが実際に期待通りに動作することを確認するために設計されています。「うまくいくはず」という曖昧な主張を、具体的な証拠に変えることを目的としています。対応プラットフォームはClaude Code、Cursor、CodexなどのAIエージェントであり、ワークフローとして、まず検証すべき正確な動作を特定し、既存のテストを優先的に使用し、不足があれば最も狭い範囲の直接検証コマンドを実行します。自動化が不十分な場合は手動検証手順を記述し、実際に確認されたことだけを報告します。出力には、何が検証されたか、どのコマンド/テストが実行されたか、何が合格したか、そして何が失敗したかまたは未確認かを明確に含めます。
npx skills add https://github.com/Yeachan-Heo/oh-my-claudecode/tree/main/skills/verifyこのスキルは、ユーザーが機能、修正、またはリファクタリングが実際に動作するという確信を必要とする場合に使用します。
「うまくいくはず」という曖昧な主張を、具体的な証拠に変えます。
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.