Systematic methodology for discovering valuable work in GitHub fork ecosystems. Stars-only filtering misses 60-100% of substantive forks — this skill uses branch-level divergence analysis, upstream PR cross-referencing, and domain-specific heuristics to find what matters.
Validated empirically across 10 repositories spanning Python, Rust, TypeScript, C++/Python, and Node.js (tensortrade, backtesting.py, kokoro, pymoo, firecrawl, barter-rs, pueue, dukascopy-node, ArcticDB, flowsurface).
MANDATORY: Select and load the appropriate template before any fork analysis.
Découvrez la précieuse divergence du fork GitHub au-delà des étoiles. DÉCLENCHEURS - analyse des forks, intelligence des forks, recherche de forks, forks précieux, divergence de fork, découverte de fork, forks en amont. Source : terrylica/cc-skills.