/social-yt-competitive

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.

evolution-foundation@evolution-foundation

GitHub

From plugin

evo-nexus

520193 skills38 agents40 commands9 MCP

Install

$ npx -y skills add evolution-foundation/evo-nexus --skill social-yt-competitive --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.
You can call itInvoke it directly when you want it.
Slash command/social-yt-competitive

Context preview

The summary Claude sees to decide when to auto-load this skill.

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.

SKILL.md

social-yt-competitive.SKILL.md

name: social-yt-competitive
description: >-
  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.

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 console

Predefined 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.