Extract YouTube transcripts and generate detailed, comprehensive summaries using structured analysis frameworks.
Works with
Validates video availability and extracts transcripts using the youtube-transcript-api Python library, with automatic dependency installation if needed
Applies the STAR + R-I-S-E summarization framework to produce thorough, reference-quality documentation capturing all insights, arguments, and key points
Supports multiple YouTube URL formats and handles language preference
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionyoutube-summarizerExecute the skills CLI command in your project's root directory to begin installation:
Fetches youtube-summarizer from sickn33/antigravity-awesome-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate youtube-summarizer. Access via /youtube-summarizer in your agent's command palette.
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This skill extracts transcripts from YouTube videos and generates comprehensive, verbose summaries using the STAR + R-I-S-E framework. It validates video availability, extracts transcripts using the youtube-transcript-api Python library, and produces detailed documentation capturing all insights, arguments, and key points.
The skill is designed for users who need thorough content analysis and reference documentation from educational videos, lectures, tutorials, or informational content.
This skill should be used when:
Before processing videos, validate the environment and dependencies:
# Check if youtube-transcript-api is installed
python3 -c "import youtube_transcript_api" 2>/dev/null
if [ $? -ne 0 ]; then
echo "⚠️ youtube-transcript-api not found"
# Offer to install
fi
# Check Python availability
if ! command -v python3 &>/dev/null; then
echo "❌ Python 3 is required but not installed"
exit 1
fi
Ask the user if dependency is missing:
youtube-transcript-api is required but not installed.
Would you like to install it now?
- [ ] Yes - Install with pip (pip install youtube-transcript-api)
- [ ] No - I'll install it manually
If user selects "Yes":
pip install youtube-transcript-api
Verify installation:
python3 -c "import youtube_transcript_api; print('✅ youtube-transcript-api installed successfully')"
Throughout the workflow, display a visual progress gauge before each step to keep the user informed. The gauge format is:
echo "[████░░░░░░░░░░░░░░░░] 20% - Step 1/5: Validating URL"
Format specifications:
Display the initial status box before Step 1:
╔══════════════════════════════════════════════════════════════╗
║ 📹 YOUTUBE SUMMARIZER - Processing Video ║
╠══════════════════════════════════════════════════════════════╣
║ → Step 1: Validating URL [IN PROGRESS] ║
║ ○ Step 2: Checking Availability ║
║ ○ Step 3: Extracting Transcript ║
║ ○ Step 4: Generating Summary ║
║ ○ Step 5: Formatting Output ║
╠══════════════════════════════════════════════════════════════╣
║ Progress: ██████░░░░░░░░░░░░░░░░░░░░░░░░ 20% ║
╚══════════════════════════════════════════════════════════════╝
Objective: Extract video ID and validate URL format.
Supported URL Formats:
https://www.youtube.com/watch?v=VIDEO_IDhttps://youtube.com/watch?v=VIDEO_IDhttps://youtu.be/VIDEO_IDhttps://m.youtube.com/watch?v=VIDEO_IDActions:
# Extract video ID using regex or URL parsing
URL="$USER_PROVIDED_URL"
# Pattern 1: youtube.com/watch?v=VIDEO_ID
if echo "$URL" | grep -qE 'youtube\.com/watch\?v='; then
VIDEO_ID=$(echo "$URL" | sed -E 's/.*[?&]v=([^&]+).*/\1/')
# Pattern 2: youtu.be/VIDEO_ID
elif echo "$URL" | grep -qE 'youtu\.be/'; then
VIDEO_ID=$(echo "$URL" | sed -E 's/.*youtu\.be\/([^?]+).*/\1/')
else
echo "❌ Invalid YouTube URL format"
exit 1
fi
echo "📹 Video ID extracted: $VIDEO_ID"
If URL is invalid:
❌ Invalid YouTube URL
Please provide a valid YouTube URL in one of these formats:
- https://www.youtube.com/watch?v=VIDEO_ID
- https://youtu.be/VIDEO_ID
Example: https://www.youtube.com/watch?v=dQw4w9WgXcQ
Progress:
echo "[████████░░░░░░░░░░░░] 40% - Step 2/5: Checking Availability"
Objective: Verify video exists and transcript is accessible.
Actions:
from youtube_transcript_api import YouTubeTranscriptApi, TranscriptsDisabled, NoTranscriptFound
import sys
video_id = sys.argv[1]
try:
# Get list of available transcripts
transcript_list = YouTubeTranscriptApi.list_transcripts(video_id)
print(f"✅ Video accessible: {video_id}")
print("📝 Available transcripts:")
for transcript in transcript_list:
print(f" - {transcript.language} ({transcript.language_code})")
if transcript.is_generated:
print(" [Auto-generated]")
except TranscriptsDisabled:
print(f"❌ Transcripts are disabled for video {video_id}")
sys.exit(1)
except NoTranscriptFound:
print(f"❌ No transcript found for video {video_id}")
sys.exit(1)
except Exception as e:
print(f"❌ Error accessing video: {e}")
sys.exit(1)
Error Handling:
| Error | Message | Action |
|---|---|---|
| Video not found | "❌ Video does not exist or is private" | Ask user to verify URL |
| Transcripts disabled | "❌ Transcripts are disabled for this video" | Cannot proceed |
| No transcript available | "❌ No transcript found (not auto-generated or manually added)" | Cannot proceed |
| Private/restricted video | "❌ Video is private or restricted" | Ask for public video |
Progress:
echo "[████████████░░░░░░░░] 60% - Step 3/5: Extracting Transcript"
Objective: Retrieve transcript in preferred language.
Actions:
from youtube_transcript_api import YouTubeTranscriptApi
video_id = "VIDEO_ID"
try:
# Try to get transcript in user's preferred language first
# Fall back to English if not available
transcript = YouTubeTranscriptApi.get_transcript(
video_id,
languages=['pt', 'en'] # Prefer Portuguese, fallback to English
)
# Combine transcript segments into full text
full_text = " ".join([entry['text'] for entry in transcript])
# Get video metadata
from youtube_transcript_api import YouTubeTranscriptApi
transcript_list = YouTubeTranscriptApi.list_transcripts(video_id)
print("✅ Transcript extracted successfully")
print(f"📊 Transcript length: {len(full_text)} characters")
# Save to temporary file for processing
with open(f"/tmp/transcript_{video_id}.txt", "w") as f:
f.write(full_text)
except Exception as e:
print(f"❌ Error extracting transcript: {e}")
exit(1)
Transcript Processing:
Progress:
echo "[████████████████░░░░] 80% - Step 4/5: Generating Summary"
Objective: Apply enhanced STAR + R-I-S-E prompt to create detailed summary.
Prompt Applied:
Use the enhanced prompt from Phase 2 (STAR + R-I-S-E framework) with the extracted transcript as input.
Actions:
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
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youtube-summarizer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
youtube-summarizer reduced setup friction for our internal harness; good balance of opinion and flexibility.
youtube-summarizer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added youtube-summarizer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
I recommend youtube-summarizer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: youtube-summarizer is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added youtube-summarizer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Keeps context tight: youtube-summarizer is the kind of skill you can hand to a new teammate without a long onboarding doc.
Solid pick for teams standardizing on skills: youtube-summarizer is focused, and the summary matches what you get after install.
Registry listing for youtube-summarizer matched our evaluation — installs cleanly and behaves as described in the markdown.
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