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tube-summary

Search YouTube for videos on any topic and get intelligent summaries from video subtitles.

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Installation

npx clawhub@latest install tube-summary

View the full skill documentation and source below.

Documentation

tube-summary

Search YouTube for videos on any topic, then extract and summarize their content using subtitles.

Quick Start

Step 1: Search for Videos

When asked about a topic, search YouTube and list the top 10 results:

python3 scripts/youtube-search.py "your search query"

This returns a numbered list of videos with titles, channels, and view counts.

Step 2: User Picks a Video

The user selects one video by number (e.g., "3" for the third video).

Step 3: Download Subtitles

Extract English subtitles from the selected video using yt-dlp:

yt-dlp --write-subs --sub-langs en --skip-download "VIDEO_URL"

This creates a .en.vtt subtitle file without downloading the video.

Step 4: Process & Summarize

Use the subtitle processor to analyze and summarize:

python3 scripts/process-subtitles.py "path/to/subtitle-file.vtt"

This generates:

  • Key Topics: Main subjects covered in the video

  • Summary: Concise 2-3 paragraph description of content

  • Timestamps: Notable moments with context

  • Key Quotes: Important statements from speakers


Workflow

  • Searchyoutube-search.py "" → Display top 10 videos

  • User selects → e.g., "Video 5"

  • Extract URL → From the search results

  • Download subsyt-dlp --write-subs --sub-langs en --skip-download "URL"

  • Processprocess-subtitles.py "subtitle.vtt"

  • Present → Formatted summary with key points
  • Prerequisites

    • yt-dlp (install: pip install yt-dlp)
    • requests (for YouTube search fallback)
    • Python 3.7+

    Notes

    • If YouTube search API is unavailable, the fallback uses web scraping via requests
    • Subtitles may be auto-generated if not manually authored
    • Some videos may not have English subtitles available
    • The subtitle file is created in the same directory as yt-dlp is run

    Example Usage

    User: "Tell me about Rust programming language"
    
    → Search returns 10 videos about Rust
    
    User: "Summarize video 3"
    
    → Downloads subtitles from video 3
    → Processes and returns detailed summary