Analyzes YouTube video performance using CTR, retention, impressions, and traffic sources.
npx skills add https://github.com/Jlsiles/Craig---Skills --skill video-analysis
Please help me install this Agent Skill. Skill: video-analysis Source: https://github.com/Jlsiles/Craig---Skills/tree/main/youtube/video-analysis Command: npx skills add https://github.com/Jlsiles/Craig---Skills --skill video-analysis
Video performance data is scattered and hard to interpret. This skill analyzes YouTube metrics to reveal why a video underperformed or overperformed and to inform improvements across your channel (retention, CTR, impressions, and audience signals).
Input a video metrics snapshot and channel goal to generate an actionable performance analysis for a YouTube video.
High-intent search queries and answers about installing and using this skill.
To analyze YouTube video performance, you evaluate CTR, retention, impressions, and traffic sources to diagnose why a video succeeded or failed. This skill applies a structured analytical framework to compare metrics against channel benchmarks and generate actionable takeaways for future content.
The best way to compare YouTube video metrics against channel benchmarks is to input a video metrics snapshot alongside your channel averages. This identifies performance gaps and generates concrete recommendations for improving future hooks, thumbnails, and pacing.
Yes, you can apply this skill to analyze a YouTube channel period instead of a single video. It diagnoses performance patterns across multiple videos, handles data gaps, and preserves your channel goals while delivering actionable insights for future content.
For YouTube video analysis, you need to collect metrics including CTR, retention, impressions, and traffic sources. The skill provides a structured framework for data collection, pattern diagnosis, and recommendations, while handling any data gaps you encounter.
To get actionable recommendations from YouTube analytics data, you input a video metrics snapshot and channel goal. The skill transforms scattered performance data into clear takeaways, providing concrete steps to improve future videos including hooks, thumbnails, and pacing.
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