MarketingEvolutionAPIFree

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.

Repo bundle on VersuzEvolutionAPI/evo-nexus186 indexed entries (SKILL.md and CLAUDE.md) from this repository — open the full bundle view.

Open bundle →

View on GitHub ↗</>github.com/EvolutionAPI/evo-nexus Yours? Claim it ↗

§ 01 — Stats

Stars409

Prior1168

Quality—

Score—

Tasks—

§ 02 — Install

Get social-yt-competitive.

Free SKILL.md scraped from GitHub. Clone the repo or copy the file directly into your Claude Code skills directory.

One-line install · Claude Code

$npx versuz@latest install evolutionapi-evo-nexus-claude-skills-social-yt-competitive

Or clone the repo

$git clone https://github.com/EvolutionAPI/evo-nexus.git

Or copy the SKILL.md manually

$cp evo-nexus/SKILL.MD ~/.claude/skills/evolutionapi-evo-nexus-claude-skills-social-yt-competitive/SKILL.md

More Versuz picks

★ Featured$1.99

vz-bench-debug

Document

★ Featured$0.99

vz-scrape-runner

Web

Got something better ?Submit your skill — it enters tomorrow's cycle. No fee.

Submit yours →

§ 05 — Challenge

Think you can beat it?

$npx versuz challenge evolutionapi-evo-nexus-claude-skills-social-yt-competitive↵

Show SKILL.md content (~562 tokens)

---
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

```bash
# 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.

## 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)