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VisionaireLabsVisionaireLabs/Visionaire/skills/youtube-content/SKILL.md

youtube-content

Skill4 starsChanged 44 days agoMITView on GitHub

Fetch YouTube video transcripts and transform them into structured content (chapters, summaries, threads, blog posts).

  • Installs packages

22 other projects use a version of this, 17 of them edited.

Adopted by

Most recently taken up by

Used with

Projects with it also use webhook-subscriptions, touchdesigner-mcp and 8 more.

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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.
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The file

We split this skill into the rules it gives an agent

3 rules. 1 is common, 1 is distinctive, and 1 is very specific to this project.

  • 1

    Common

    Most of the 19 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Common:

    After fetching the transcript, format it based on what the user asks for:

    line 51
  2. Distinctive:

    If the transcript is very long (>50K chars), summarize in chunks

    line 63
  3. Very specific:

    Dependency missing: Run pip install youtube-transcript-api first

    line 71

“Common” is measured: kept by at least 6 in 10 of the 19 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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

YouTube Content Tool

Extract transcripts from YouTube videos and convert them into useful formats.

Setup

pip install youtube-transcript-api

Helper script

This skill includes fetch_transcript.py — use it to fetch transcripts quickly:

# JSON output with metadata
python3 SKILL_DIR/scripts/fetch_transcript.py "https://youtube.com/watch?v=VIDEO_ID"

# With timestamps
python3 SKILL_DIR/scripts/fetch_transcript.py "https://youtube.com/watch?v=VIDEO_ID" --timestamps

# Plain text output (good for piping into further processing)
python3 SKILL_DIR/scripts/fetch_transcript.py "https://youtube.com/watch?v=VIDEO_ID" --text-only

# Specific language with fallback
python3 SKILL_DIR/scripts/fetch_transcript.py "https://youtube.com/watch?v=VIDEO_ID" --language tr,en

# Timestamped plain text
python3 SKILL_DIR/scripts/fetch_transcript.py "https://youtube.com/watch?v=VIDEO_ID" --text-only --timestamps

SKILL_DIR is the directory containing this SKILL.md file.

URL formats supported

The script accepts any of these formats (or a raw 11-character video ID):

  • https://www.youtube.com/watch?v=VIDEO_ID
  • https://youtu.be/VIDEO_ID
  • https://youtube.com/shorts/VIDEO_ID
  • https://youtube.com/embed/VIDEO_ID
  • https://youtube.com/live/VIDEO_ID

Output formats

After fetching the transcript, format it based on what the user asks for:

  • Chapters: Group by topic shifts, output timestamped chapter list (00:00 Introduction, 03:45 Main Topic, etc.)
  • 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

Workflow

  1. Fetch the transcript using the helper script
  2. If the transcript is very long (>50K chars), summarize in chunks
  3. Transform into the requested output format using your own reasoning

Error handling

  • Transcript disabled: Some videos have transcripts turned off — tell the user
  • Private/unavailable: The API will raise an error — relay it clearly
  • No matching language: Try without specifying a language to get whatever's available
  • Dependency missing: Run pip install youtube-transcript-api first

Download now (ZIP)

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