agentleFS
dandacompanydandacompany/claude-skills/youtube-transcript/SKILL.md

youtube-transcript

Skill2 starsChanged 13 months agoNo licenceView on GitHub

Extract YouTube video transcripts/subtitles using yt-dlp. Handles rate limiting, auto-generated captions, multiple languages, and VTT parsing.

  • Installs packages

We split this skill into the rules it gives an agent

10 rules. 0 are common, 8 are distinctive, and 2 are very specific to this project.

  • 0

    Common

    Most of the 49 edited versions we read keep these.

  • 8

    Distinctive

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 49 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

  • Other versions57 projects use a version of this.

    Word for word · 0

    None found.

    Edited · 0

    None found.

    Wrote their own version · 57

    1. badlogic/pi-skills★ 2.5ksame name
    2. amosblomqvist/pi-config★ 1.1ksame name
    3. DanielLavrushin/tspu-docs★ 660same name
    4. michalparkola/tapestry-skills-for-claude-code★ 557same name
    5. michalparkola/tapestry-skills★ 538same name
    6. glebis/claude-skills★ 404same name
    7. tubeagentkit/youtube-transcript-skills★ 80same name
    8. matyasstoch/david-skills★ 59same name
    9. tsukhani/jclaw★ 41same name
    10. qa-aman/claude-skills★ 24same name

    47 more not listed

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

  • Used alongsideProjects with it also use research-prompt, ship-learn-next and 10 more.

    Other files people use alongside this one.

    Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
    • matyasstochSkill

      research-prompt

      Write a single-paragraph Deep Research prompt to hand to a human researcher (or a deep-research AI). Use when the user wants a research brief, a "deep research prompt", a one-paragraph task for a researcher, or asks "what should our researcher look for". Produces ONE tight paragraph with full context, numbered sub-questions, and per-finding output format.

      Also in 3 projects that use this

    • michalparkolaSkill

      ship-learn-next

      Transform learning content (like YouTube transcripts, articles, tutorials) into actionable implementation plans using the Ship-Learn-Next framework. Use when user wants to turn advice, lessons, or educational content into concrete action steps, reps, or a learning quest.

      Also in 4 projects that use this

    • huskerjeffSkill

      youtube-search

      Search YouTube and extract video metadata and captions using yt-dlp. Use when the user wants to search YouTube, find video transcripts, research topics via YouTube, or feed video content into other tools like NotebookLM.

      Also in 4 projects that use this

    • michalparkolaSkill

      article-extractor

      Extract clean article content from URLs (blog posts, articles, tutorials) and save as readable text. Use when user wants to download, extract, or save an article/blog post from a URL without ads, navigation, or clutter.

      Also in 3 projects that use this

    • MicrosoftSkill

      web-search

      Also in 3 projects that use this

    • ArogyaReddySkill

      changelog-generator

      Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.

      Also in 3 projects that use this

  • In this repository2 other files it gives its agents.

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  • It worked
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What did you use it for? e.g. Reviewing pull requests in a Rails app

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Your trail

Files you open will collect here, so you can find them again.

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Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.