This one hooks into TubeLab's outlier detection API to find YouTube videos that are massively outperforming their channel averages, then runs AI analysis on the top three to extract replicable hook formulas and content structures. You give it direct niche keywords plus adjacent topics the same audience watches, and it pulls videos, transcripts, thumbnails, and generates a report ranked by zScore times recency. The hook formula extraction is the real value here since it's trying to give you actual templates you can adapt, not just vague observations about what worked. Needs both TubeLab and Gemini API keys. Best for content creators doing competitive research or trying to reverse engineer what's working in their space right now.
npx skills add https://github.com/bradautomates/head-of-content --skill youtube-research