根據影片逐字稿撰寫 YouTube 章節，並驗證是否符合 YouTube 規則，確保章節能夠正常顯示。適用於「加入章節」、「時間戳記」、「將影片分段」等需求。
這個技能專為 YouTube 創作者與編輯者設計，能從影片逐字稿中自動生成符合 YouTube 官方規範的章節。它不只生成時間戳記，還會依據暫停點與詞彙變化來偵測段落邊界，並自動產出建議標題。技能內建驗證機制，確保章節列表符合 YouTube 的三項必要規則：首段必須從 00:00 開始、至少三個章節、每個章節至少 10 秒，避免無效章節直接貼上說明區後無法顯示。支援任何能輸出 SRT 格式逐字稿的平台（如影片編輯軟體、AI 轉錄服務），使用者僅需提供逐字稿檔案與目標章節數量即可。此技能僅幫助生成草稿，不會自動發布，每個輸出結尾都會詢問使用者「發布還是修改？」，確保最終決定權在創作者手中。標題部分需人工潤飾，以三到五個詞語、使用者語氣改寫為該段落的承諾，若一段無法用五個詞命名，則代表應拆分或為無效內容。
npx skills add https://github.com/littlemoonstories796-ai/youtube/tree/HEAD/skills/yt-chapterspython3 chapters.py transcript.srt --target 8
任何違反以下規則的章節列表，都會在 YouTube 上默默失效——區塊只會留在說明欄中、毫無作用：
工具會檢查所有三項規則，並在列表無效時通知你，而不是讓你直接貼上。
chapters.py 能妥善找出段落邊界——它會根據你在實際停頓點前後的詞彙變化程度來評分。它輸出的標題是主題詞彙，僅屬草稿。一個名為「縮圖標題包裝」的章節只是暫用詞。請將每個標題改寫為該段落的承諾，使用使用者的語氣，三到五個字。
章節同時也是留存率的診斷工具：如果一個段落無法用五個字命名，代表它應該分成兩段，或是多餘的內容。
這裡不會發布任何內容。這個技能負責撰寫，由你來發布。每次輸出的結尾都會產生一個可供使用者複製的區塊，而每次執行的最後一行都是一個問題：發布還是修改？
This repo contains 3 individual skills — each has its own dedicated page.
>- Audit a YouTube channel end to end - packaging, consistency, the first fifteen seconds, and what to fix first. Use for "audit my channel", "why isn't my channel growing", "review my videos", or a pasted channel URL.
>- Turn a raw recording's transcript into an edit decision list - dead air, filler cues and retakes, with timecodes. Use for "edit this", "cut the dead space", "tighten this video", "I rambled", or any request to shorten footage from a transcript.
>- Write and lint the title and thumbnail for a YouTube video as one pairing, checking truncation, duplication and vagueness before publish. Use for "title ideas", "what should I call this", "thumbnail text", "my CTR is bad", packaging, or any request to rename or repackage an existing video.
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.