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YouTube transcripts to summaries, threads, blogs.

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Skill metadata

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Reference: full SKILL.md

The following is the complete skill definition that Mibyan loads when this skill is triggered. This is what the agent sees as instructions when the skill is active.

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YouTube Content Tool

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When to use

Use when the user shares a YouTube URL or video link, asks to summarize a video, requests a transcript, or wants to extract and reformat content from any YouTube video. Transforms transcripts into structured content (chapters, summaries, threads, blog posts). Extract transcripts from YouTube videos and convert them into useful formats.

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Setup

Use terminal with the Python from a PM-prepared Mibyan source checkout. The youtube extra declares the helper’s dependency; do not install packages into Mibyan with raw pip or project-discovering uv run. From that checkout, first follow the isolated development-home setup in Package Management, then prepare the extra and reactivate before running the helper:
On Windows, use . .\activate.ps1 instead of source ./activate. If the terminal runs on a different host or in a sandbox, use an explicitly isolated helper environment there, not the agent’s production environment. Run every command below with the interpreter whose import check succeeded.

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Helper Script

SKILL_DIR is the directory containing this SKILL.md file. The script accepts any standard YouTube URL format, short links (youtu.be), shorts, embeds, live links, or a raw 11-character video ID.

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Output Formats

After fetching the transcript, format it based on what the user asks for:
  • Chapters: Group by topic shifts, output timestamped chapter list
  • Summary: Concise 5-10 sentence overview of the entire video
  • Chapter summaries: Chapters with a short paragraph summary for each
  • Thread: Twitter/X thread format — numbered posts, each under 280 chars
  • Blog post: Full article with title, sections, and key takeaways
  • Quotes: Notable quotes with timestamps

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Example — Chapters Output

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Workflow

  1. Fetch the transcript using terminal and the prepared Python with --text-only --timestamps.
  2. Validate: confirm the output is non-empty and in the expected language. If empty, retry without --language to get any available transcript. If still empty, tell the user the video likely has transcripts disabled.
  3. Chunk if needed: if the transcript exceeds ~50K characters, split into overlapping chunks (~40K with 2K overlap) and summarize each chunk before merging.
  4. Transform into the requested output format. If the user did not specify a format, default to a summary.
  5. Verify: re-read the transformed output to check for coherence, correct timestamps, and completeness before presenting.

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Error Handling

  • Transcript disabled: tell the user; suggest they check if subtitles are available on the video page.
  • Private/unavailable video: relay the error and ask the user to verify the URL.
  • No matching language: retry without --language to fetch any available transcript, then note the actual language to the user.
  • Dependency missing: repeat PM preparation and reactivation above, then verify the helper uses that Python. Do not repair the selected generation with pip.