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.
Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.
Quelldateien prüfen
Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Ein direkter Befehl überspringt den Prüf-Prompt. Prüfen Sie die Quelle, bevor Sie ihn ausführen.
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.
Automatically fetch transcripts from YouTube videos, generate structured summaries, and deliver full transcripts to messaging platforms.
Why This vs ChatGPT?
Problem with ChatGPT: It can't access YouTube transcripts directly. You have to manually copy/paste captions or use a third-party tool first, then feed the text to ChatGPT. Multi-step, clunky, loses video metadata.
This skill provides:
One-step transcript extraction - Drop a YouTube URL, get the full transcript automatically
Structured summarization - Consistent format (thesis → insights → takeaway) every time, not random bullet points
Video metadata included - Title, channel, views, publish date embedded in summary
Full transcript delivery - Saves timestamped transcript to file and sends to Telegram/chat platforms
Works from VPS/cloud - Uses Android client emulation to bypass YouTube's cloud IP blocking (where yt-dlp fails)
Multi-language support - Auto-fetches in requested language with English fallback
You can replicate this by manually enabling captions, copying text, pasting to ChatGPT, reformatting the output, saving to a file, and uploading. Takes 5-10 minutes. This skill does it in 15-20 seconds.
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
You need to analyze video content for research or content creation
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(' ')
Challenge: Needed to analyze 20+ competitor videos per week to identify trending topics, messaging patterns, and content gaps. Manual process: watch video, take notes, transcribe key quotes. Time: 30-45 min per video.
Solution with youtube-summarizer:
Drop YouTube URL in chat
Get structured summary in 20 seconds
Full transcript saved for reference
Copy key insights for content planning doc
Workflow example:
User: Analyze this video: https://youtube.com/watch?v=abc123
[20 seconds later]
📹 Video: "10 AI Tools That Will Replace Your Job in 2026"
👤 Channel: TechFuturist | 👁️ Views: 847K | 📅 Published: Jan 12, 2026
🎯 Main Thesis:
AI tools are automating creative and knowledge work faster than expected, but the real opportunity is in augmentation, not replacement.
💡 Key Insights:
- ChatGPT usage among marketers jumped from 12% to 67% in one year
- Video editing time reduced by 80% using AI tools like Descript
- The biggest wins come from combining tools (Notion + Claude + Zapier)
- Companies hiring "AI workflow designers" to optimize human-AI collaboration
- Workers using AI secretly outperform peers by 40% (BCG study)
📝 Notable Points:
- Shows examples of 3 small businesses that 10× output with AI
- Warns against over-automation: "AI can write, but can't think strategically"
🔑 Takeaway:
Don't ask "Will AI replace me?" Ask "How can I use AI to become 10× more valuable?"
Results after 8 weeks:
Time saved: 25 hours/week (from 600 min to 60 min for 20 videos)
Content output: 3 videos/week (up from 1/week)
Better insights: Full transcripts searchable, found patterns missed when just watching
Competitive intel: Built database of 160+ competitor video summaries with key quotes
ROI quote: "This skill turned competitor research from a chore into an assembly line."
Why This Beats Manual Methods
Method
Time
Gets Metadata
Structured Output
Searchable Archive
Cloud-Friendly
Watch + take notes
30-45 min
No
No
Manual only
N/A
YouTube transcript feature
5 min
No
No
No
Yes
yt-dlp
2-5 min
Yes
No
Yes
❌ Blocked on VPS
Copy to ChatGPT
10 min
No
Sometimes
No
Yes
This skill
20 sec
Yes
Yes
Yes
✅ Works on VPS
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 (Settings → Show transcript)
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
If video is age-restricted or private:
Inform user that transcript cannot be accessed due to restrictions
Suggest checking video privacy settings
Examples
Example 1: Tech Tutorial
Input:https://youtube.com/watch?v=dQw4w9WgXcQ
Output:
📹 **Video:** "Building a SaaS from Scratch: Lessons from $10K MRR"
👤 **Channel:** IndieHackerTV | 👁️ **Views:** 124K | 📅 **Published:** Feb 1, 2026
**🎯 Main Thesis:**
Most SaaS founders fail because they build for 6 months before talking to customers. The path to $10K MRR is customer conversations first, MVP second.
**💡 Key Insights:**- Interviewed 50 potential customers before writing a single line of code
- First paid customer signed up with a Figma mockup (no product built yet)
- Charged $99/month from day 1 (no free tier, no discounts)
- Spent $0 on ads; all growth from Twitter + Reddit engagement
- Hit $10K MRR in 9 months by saying "no" to feature requests that didn't fit ICP
**📝 Notable Points:**- Used Stripe payment links before building a billing system
- First 3 customers came from solving their problem in public on Twitter
- Weekly "build in public" updates on Twitter drove 40% of signups
**🔑 Takeaway:**
Validate demand before building. If 10 people won't pay for a mockup, 1,000 won't pay for the real product.
Example 2: Business Strategy Video
Input:https://youtu.be/abc123xyz
Output:
📹 **Video:** "Why Notion's Business Model is Genius"
👤 **Channel:** SaaS Breakdowns | 👁️ **Views:** 456K | 📅 **Published:** Jan 28, 2026
**🎯 Main Thesis:**
Notion's growth strategy flips traditional SaaS: give away the product for free to individuals, monetize when they bring it to work.
**💡 Key Insights:**- 80% of Notion's enterprise deals started with a single employee using the free plan
- Bottom-up adoption = zero sales team needed for first $10M ARR
- Templates marketplace created a content flywheel (100K+ free templates)
- Personal use (free) → Team use (paid) conversion rate: 23% (industry avg: 2-5%)
- Community evangelism replaced traditional marketing (4M+ Reddit/Discord members)
**📝 Notable Points:**- Notion's viral coefficient: 1.4 (every user invites 1.4 others on average)
- Template creators drive 30% of new user acquisition
- Pricing strategy: free until 10 people = no friction to start
**🔑 Takeaway:**
Build a product individuals love first. Enterprise sales will follow when employees demand it at work.
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 (3 key insights)
Medium videos (5-30 min): Standard format (5 key insights)
Long videos (>30 min): Detailed breakdown (7+ insights, split into sections if needed)
Extract value: Focus on actionable insights, data points, and contrarian takes (not generic advice)
Pro Tips
For Better Summaries:
Prioritize data points - Numbers, percentages, study citations stand out
Extract quotes - Memorable one-liners make summaries shareable
Identify frameworks - If video presents a method/process, extract the steps
Spot contrarian takes - Unconventional wisdom is more valuable than common advice
Note proof - Examples, case studies, before/after results add credibility
For Research Workflows:
Build a transcript library - Organize by topic/niche for pattern spotting
Search across transcripts - Use grep or text search to find mentions of specific topics
Track trends - Same topic across multiple videos = rising trend
Extract prompts - Save useful frameworks/methods as reusable prompts
For Content Creation:
Find content gaps - What questions are asked but not fully answered?
Analyze top performers - What structure/pacing do high-view videos use?
Extract hooks - First 30 seconds of transcript = proven hook patterns
Repurpose insights - Turn video insights into Twitter threads, blog posts, newsletters
Configuration
Standard Mode (default)
youtube-summarizer [URL]
Fetches transcript in English
Generates structured summary
Saves transcript to file
Sends to messaging platform if applicable
Quick Mode
youtube-summarizer [URL] --quick
Thesis + 3 key insights only
No transcript file saved
Faster processing for rapid research
Deep Dive Mode
youtube-summarizer [URL] --deep
Extended summary with timestamps
Section-by-section breakdown for long videos
Includes all notable quotes
Language-Specific
youtube-summarizer [URL] --lang es
Fetches transcript in specified language
Falls back to English if unavailable
Installation & Setup
# 1. Clone and install MCP servercd /root/clawd
git clone https://github.com/kimtaeyoon83/mcp-server-youtube-transcript.git
cd mcp-server-youtube-transcript
npm install && npm run build
# 2. Test installation
node --input-type=module -e "
import { getSubtitles } from './dist/youtube-fetcher.js';
const result = await getSubtitles({ videoID: 'dQw4w9WgXcQ', lang: 'en' });
console.log(result.metadata.title);
"# 3. Create transcripts directorymkdir -p /root/clawd/transcripts
# 4. Verify skill is ready
youtube-summarizer --check-setup
Common Issues
Issue: "Transcript not available"
Cause: Video has no captions/subtitles enabled
Fix: Ask video creator to enable captions, or try a different video
Issue: "Failed to fetch transcript" (on VPS)
Cause: YouTube may have updated their API
Fix: Update MCP server: cd /root/clawd/mcp-server-youtube-transcript && git pull && npm install && npm run build
Issue: "Video ID not recognized"
Cause: Malformed URL or unsupported format
Fix: Copy URL directly from YouTube address bar
Future Enhancements (Roadmap)
Multi-video batch processing (analyze playlists)
Sentiment analysis on transcript (positive/negative/neutral tone)
Speaker diarization (identify different speakers in interviews/panels)
Automatic chapter detection (split long videos into logical sections)
Cross-video pattern analysis (find common themes across multiple videos)
Support
Issues or suggestions? Provide:
YouTube URL that failed
Error message (if any)
Expected vs actual behavior
MCP server version: cd /root/clawd/mcp-server-youtube-transcript && git rev-parse HEAD
Built on MCP YouTube Transcript server (Android emulation for cloud reliability).Turn any YouTube video into structured, searchable knowledge in 20 seconds.
