根据转录稿生成符合 YouTube 规则的章节时间戳，确保章节列表能被实际渲染。
该技能基于 YouTube 的官方规则，从视频转录稿中自动生成章节时间戳和标题。它首先利用 `chapters.py` 脚本分析转录稿中的停顿和词汇变化，准确识别章节边界，并输出候选标题。然后，技能强制验证三条关键规则：首条时间戳必须为 00:00；章节数量至少三个；每个章节时长至少 10 秒。违反规则会直接提示用户列表无效，而不是发布一个空壳。最终输出的章节草稿需要用户手动润色每段标题（3-5 个词），以提高视频的留存率诊断效果。该技能本身不发布任何内容，仅生成可复制的块，并在最后询问用户“发布还是修改？”
npx skills add https://github.com/littlemoonstories796-ai/youtube/tree/HEAD/skills/yt-chapterspython3 chapters.py transcript.srt --target 8
任何违反以下规则的章节列表都会静默失败——它们会一直停留在描述中，毫无作用：
该工具会检查这三条规则，并在列表无效时告知你，而不是让你直接粘贴一个无效列表。
chapters.py 擅长找到边界——它会根据跨边界的词汇变化幅度来评估你实际停顿的权重。它输出的标题是主题词，仅作为草稿。像“缩略图 标题 包装”这样的章节名只是占位符。请用用户的语气，以三到五个词重写每个标题，作为该部分的承诺。
章节也是留存率诊断工具：如果一个部分无法用五个词命名，那它要么是两个部分，要么是填充内容。
这里不发布任何内容。该技能仅负责编写，由你发布。每个输出结尾都有一个用户可以复制的块，每次运行的最后一句话都是这个问题：发布它，还是修改它？
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.