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youtube-summarizer Automatically fetch YouTube video transcripts, generate structured summaries, and send full transcripts to messaging platforms. Detects YouTube URLs and provides metadata, key insights, and downloadable transcripts. This skill is for SUMMARIZING and TRANSCRIBING videos, NOT for downloading them.
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name youtube-summarizer description Automatically fetch YouTube video transcripts, generate structured summaries, and send full transcripts to messaging platforms. Detects YouTube URLs and provides metadata, key insights, and downloadable transcripts. This skill is for SUMMARIZING and TRANSCRIBING videos, NOT for downloading them. version 1.0.0 author abe238 homepage https://github.com/yt-dlp/yt-dlp metadata {"openclaw":{"emoji":"📺","skillKey":"youtube-summarizer","requires":{"bins":["yt-dlp"],"env":["PATH"]},"install":[{"kind":"python","package":"yt-dlp","label":"Install yt-dlp (pip install yt-dlp)"}]}}
YouTube Summarizer Skill
Automatically fetch transcripts from YouTube videos, generate structured summaries, and deliver full transcripts to messaging platforms.
When to Use
Activate this skill when:
User shares a YouTube URL (youtube.com/watch, youtu.be, youtube.com/shorts)
User asks to summarize or transcribe a YouTube video
User requests information about a YouTube video's content
Dependencies Required: yt-dlp must be installed and available in PATH.
Check if yt-dlp is available:
which yt-dlp || echo "yt-dlp not found"
If not installed, you can install it:
Workflow
1. Detect YouTube URL Extract video ID from these patterns:
https://www.youtube.com/watch?v=VIDEO_IDhttps://youtu.be/VIDEO_IDhttps://www.youtube.com/shorts/VIDEO_IDDirect video ID: VIDEO_ID (11 characters)
2. Fetch Video Metadata Get video information using yt-dlp:
yt-dlp --dump-json --skip-download "VIDEO_URL" 2>/dev/null | head -c 10000
title - Video titleuploader - Channel nameview_count - View countupload_date - Publication date (YYYYMMDD format)duration - Video duration in seconds
3. Fetch Transcript Option A: Use yt-dlp to get auto-generated subtitles (if available)
yt-dlp --list-subs --skip-download "VIDEO_URL" 2>/dev/null
Download subtitles if available:
yt-dlp --write-auto-sub --sub-lang en --skip-download --sub-format txt -o "/tmp/yt_%(id)s.%(ext)s" "VIDEO_URL" 2>/dev/null
cat /tmp/yt_VIDEO_ID.en.txt 2>/dev/null || cat /tmp/yt_VIDEO_ID.txt 2>/dev/null
Option B: If yt-dlp subtitles fail, inform user:
"I couldn't retrieve the transcript for this video. This may be because:
The video doesn't have captions/subtitles enabled
The video owner has disabled auto-generated captions
The video is restricted or private
You can try:
Using YouTube's built-in transcript feature (click '...' below the video → 'Show transcript')
Trying a different video that has captions enabled"
4. Process the Data Clean up the transcript text:
Remove timestamps if present
Remove duplicate lines
Join lines into paragraphs
Extract full text for summarization.
5. Generate Summary Create a structured summary using this template:
📹 **Video:** [title]
👤 **Channel:** [author] | 👁️ **Views:** [views] | 📅 **Published:** [date]
**🎯 Main Thesis:**
[1-2 sentence core argument/message]
**💡 Key Insights:**
- [insight 1]
- [insight 2]
- [insight 3]
- [insight 4]
- [insight 5]
**📝 Notable Points:**
- [additional point 1]
- [additional point 2]
**🔑 Takeaway:**
[Practical application or conclusion]
Main thesis: 1-2 sentences maximum
Key insights: 3-5 bullets, each 1-2 sentences
Notable points: 2-4 supporting details
Takeaway: Actionable conclusion
6. Save Full Transcript (Optional) If the user wants the full transcript saved:
Create the transcripts directory:
mkdir -p ~/.smart_bot/transcripts
cat > ~/.smart_bot/transcripts/YYYY-MM-DD_VIDEO_ID.txt << 'EOF'
Video: [title]
Channel: [author]
URL: [video_url]
Date: [date ]
---
[Full transcript text]
EOF
7. Reply with Summary Send the structured summary as your response to the user.
If you saved the transcript file, mention its location.
Error Handling If yt-dlp is not installed:
If transcript fetch fails:
Check if video has captions enabled
Try with --sub-lang en fallback if requested language unavailable
Inform user that transcript is not available and suggest alternatives:
Manual YouTube transcript feature
Video may not have captions
Try a different video
If video ID extraction fails:
Ask user to provide the full YouTube URL or video ID
If video is restricted/private:
Inform user that the video cannot be accessed
Ask them to check if the video is publicly available
Quality Guidelines
Be concise: Summary should be scannable in 30 secondsBe accurate: Don't add information not in the transcriptBe structured: Use consistent formatting for easy readingBe contextual: Adjust detail level based on video length
Short videos (<5 min): Brief summary
Long videos (>30 min): More detailed breakdown
Notes
yt-dlp is a reliable tool that works on most YouTube videos
Some videos may not have captions available
Transcript quality depends on YouTube's auto-generated captions or manual captions
Auto-generated captions may have errors, especially for technical terms or non-English content
