YouTube Summarizer

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: MCP YouTube Transcript server must be installed at: /root/clawd/mcp-server-youtube-transcript

If not present, install it:

cd /root/clawd
git clone https://github.com/kimtaeyoon83/mcp-server-youtube-transcript.git
cd mcp-server-youtube-transcript
npm install && npm run build

Workflow

1. Detect YouTube URL

Extract video ID from these patterns:

• -https://www.youtube.com/watch?v=VIDEO_ID
• -https://youtu.be/VIDEO_ID
• -https://www.youtube.com/shorts/VIDEO_ID
• -Direct video ID: VIDEO_ID (11 characters)

2. Fetch Transcript

Run this command to get the transcript:

cd /root/clawd/mcp-server-youtube-transcript && node --input-type=module -e "
import { getSubtitles } from './dist/youtube-fetcher.js';
const result = await getSubtitles({ videoID: 'VIDEO_ID', lang: 'en' });
console.log(JSON.stringify(result, null, 2));
" > /tmp/yt-transcript.json

Replace VIDEO_ID with the extracted ID. Read the output from /tmp/yt-transcript.json.

3. Process the Data

Parse the JSON to extract:

• -result.metadata.title - Video title
• -result.metadata.author - Channel name
• -result.metadata.viewCount - Formatted view count
• -result.metadata.publishDate - Publication date
• -result.actualLang - Language used
• -result.lines - Array of transcript segments

Full text: result.lines.map(l => l.text).join(' ')

4. 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]

Aim for:

• -Main thesis: 1-2 sentences maximum
• -Key insights: 3-5 bullets, each 1-2 sentences
• -Notable points: 2-4 supporting details
• -Takeaway: Actionable conclusion

5. Save Full Transcript

Save the complete transcript to a timestamped file:

/root/clawd/transcripts/YYYY-MM-DD_VIDEO_ID.txt

Include in the file:

• -Video metadata header
• -Full transcript text
• -URL reference

6. Platform-Specific Delivery

If channel is Telegram:

message --action send --channel telegram --target CHAT_ID \
  --filePath /root/clawd/transcripts/YYYY-MM-DD_VIDEO_ID.txt \
  --caption "📄 YouTube Transcript: [title]"

If channel is other/webchat:

Just reply with the summary (no file attachment).

7. Reply with Summary

Send the structured summary as your response to the user.

Error Handling

If transcript fetch fails:

• -Check if video has captions enabled
• -Try with 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 MCP server not installed:

• -Provide installation instructions
• -Offer to install it automatically if in appropriate context

If video ID extraction fails:

• -Ask user to provide the full YouTube URL or video ID

Examples

See examples/ directory for sample outputs.

Quality Guidelines

• -Be concise: Summary should be scannable in 30 seconds
• -Be accurate: Don't add information not in the transcript
• -Be structured: Use consistent formatting for easy reading
• -Be contextual: Adjust detail level based on video length

- Short videos (<5 min): Brief summary

- Long videos (>30 min): More detailed breakdown

Notes

• -MCP server uses Android client emulation to bypass YouTube's cloud IP blocking
• -Works reliably from VPS/cloud environments where yt-dlp often fails
• -Supports multiple languages with automatic fallback to English
• -Transcript quality depends on YouTube's auto-generated captions or manual captions