Cross-Niche Outliers
Discovers high-performing YouTube videos across adjacent niches to extract proven hooks, content structures, and title variants.
Cross-Niche Outliers is a content intelligence skill that identifies viral YouTube videos from adjacent business niches using the TubeLab API and web scrapers. It calculates outlier scores based on channel baselines, recency, and psychological hooks (money, curiosity gaps, time savings) to surface transferable ideas. The skill automatically fetches video transcripts, generates Claude-powered summaries and niche-adapted title variants, and exports structured data directly to a 19-column Google Sheet for streamlined content ideation.
主な機能
01Extracts video transcripts and generates hook and structure breakdowns via Claude
0217 GitHub stars
03Exports comprehensive 19-column intelligence reports directly to Google Sheets
04Calculates outlier and cross-niche transferability scores with recency boosts
05Identifies viral YouTube outlier videos using TubeLab API or yt-dlp scraping
06Generates 3 niche-adapted title variants per identified outlier
ユースケース
01Content marketing teams seeking data-backed title variants and content formats for weekly ideation
02YouTube creators researching high-converting video concepts and hook structures from adjacent niches
03Growth marketers building an automated pipeline for competitor intelligence and viral topic discovery