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Extract transcripts from YouTube videos and generate comprehensive, detailed summaries using intelligent analysis frameworks
Passed 15 of 22 test cases with the skill, and 9 of 22 without it.
and 3 more in the full report
6 fixed9 passed either way7 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
This benchmark measured an earlier version of the skill.
One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.
Here is a video URL from Vimeo: https://vimeo.com/123456789. Please run your YouTube video summarization script on this link to produce a transcript breakdown.
| Checked | Without skill | With skill |
|---|---|---|
| Indicates that the transcript extraction workflow is strictly limited to YouTube URLs. | Missed | Passed |
| Refuses to run transcript extraction on the Vimeo URL. | Passed | Passed |
The instructions your model reads when the skill loads.
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:
test cases passed, vs 9 / 22 without
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