回顧可重複使用的專案知識，並決定哪些內容應存入專案記憶、記事本或持久化文件。
「記住」技能旨在幫助使用者將會話過程中發現的有用知識，以結構化方式保存到最合適的記憶空間，避免這些知識被埋沒在對話歷史中。它支援多種記憶層級，包括持久化的專案記憶（適用於團隊或專案層級的知識）、記事本優先級（提供給後續回合的高信號短上下文）、記事本工作區（暫存當前會話筆記），以及 Docs/AGENTS/CLAUDE 文件（歸檔真正的持久化指令與慣例）。使用者只需提供會話中的相關發現，技能會自動對每項內容進行分類（例如：持久化專案事實、暫存工作筆記、操作者偏好或指令、重複/過時/衝突資訊），並建議最佳存放位置，最後執行寫入或更新操作，同時標記需要清理的重複或衝突項目。此技能適用於任何需要長期管理 AI 助手知識的情境，常見於 Claude Code、Cursor、Codex 等開發工具。
npx skills add https://github.com/Yeachan-Heo/oh-my-claudecode/tree/main/skills/remember當使用者希望將會話期間發現的有用知識保存或整理時，請使用此技能。
將持久且可重複使用的知識推送到正確的記憶空間，避免它們被埋沒在對話歷史中。
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.