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Analyze YouTube channels for outlier videos and packaging patterns. Identifies what's working (2x+ average views) across any set of channels.
Passed 22 of 23 test cases with the skill, and 8 of 23 without it.
and 15 more in the full report
14 fixed8 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 14 test cases the skill fixed. Same model, same prompt, with and without the skill.
I want to run a performance extraction CLI command targeting just the channel handle @MyFirstMillion over a 14-day window. What command should I run?
| Checked | Without skill | With skill |
|---|---|---|
| Constructs the command invoking analyze.py with $YOUTUBE_API_KEY. | Missed | Passed |
| Passes --channels '@MyFirstMillion' and --days 14. | Missed | Passed |
The instructions your model reads when the skill loads.
Outlier detection and packaging pattern extraction for YouTube channels.
$YOUTUBE_API_KEY# Analyze specific channels
python3 analyze.py "$YOUTUBE_API_KEY" --channels "@handle1,@handle2" --days 30
# Use predefined sets
python3 analyze.py "$YOUTUBE_API_KEY" --set ai
python3 analyze.py "$YOUTUBE_API_KEY" --set business
python3 analyze.py "$YOUTUBE_API_KEY" --set both
# Export formats
python3 analyze.py "$YOUTUBE_API_KEY" --set both --output json
python3 analyze.py "$YOUTUBE_API_KEY" --set both --output console
AI Creators: Jeff Su, Alex Finn, Riley Brown, Dan Martell, Matt Wolfe, Nate Herk, Grace Leung, Matt Berman
Business Creators: Alex Hormozi, Gary Vaynerchuk, Patrick Bet-David, Codie Sanchez, Leila Hormozi, Iman Gadzhi, My First Million
test cases passed, vs 8 / 23 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.