yt-competitive-analysis
Skill1 starsChanged 7 months agoMITView on GitHub
Analyze YouTube channels for outlier videos and packaging patterns. Identifies what's working (2x+ average views) across any set of channels. Use when asked for YouTube competitive analysis, viral video patterns, or packaging/title inspiration.
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2 other projects use a version of this, 1 of them edited.
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- scayver/marketing-skillstheir own version, first seen Oct 13, 2026
- ericosiu/ai-marketing-skillsedited, first seen Sep 2, 2026
Other versions2 projects use a version of this.
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Edited · 1
- ericosiu/ai-marketing-skills★ 3.8k60% same
Wrote their own version · 1
- scayver/marketing-skills★ 8same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository15 other files it gives its agents.
- eval/CLAUDE.mdCLAUDE.md
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- expert-panelSkill
- conversion-opsSkill
- deck-generatorSkill
- finance-opsSkill
- growth-engineSkill
- cold-outbound-optimizerSkill
- podcast-pipelineSkill
- revenue-intelligenceSkill
- sales-pipelineSkill
- sales-playbookSkill
- seo-opsSkill
- team-opsSkill
- x-longform-postSkill
The file
Files
YouTube Competitive Analysis
Outlier detection and packaging pattern extraction for YouTube channels.
When to Use
- User asks for YouTube competitive analysis
- User wants to find viral video patterns
- User wants packaging/title inspiration from specific creators
- User wants to track competitor YouTube performance
Prerequisites
- YouTube Data API v3 key set as
$YOUTUBE_API_KEY
Usage
# Analyze specific channels
python3 analyze.py "$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 consolePredefined Channel Sets
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
Output Interpretation
- Multiplier: Times above channel average (2.0x = double normal)
- Outlier threshold: 2x average. Study anything above this.
- Title patterns: Common words in outlier titles indicate proven formats
- Cadence: Videos per week. Higher cadence creators may have lower per-video averages.
Packaging Skeletons (Proven Formats)
Long-form:
- "X, Clearly Explained"
- "X hours of Y in Z minutes"
- "The Laziest Way to X"
- "Give me X minutes and I'll Y"
- "X INSANE Use Cases for Y"
Shorts:
- "2024 vs 2025 X" (year comparison)
- "Bad Good Great X" (tier ranking)
- "Stop doing X, do Y instead" (contrarian)
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