This does what it says: compares athletes across different eras and leagues by adjusting for pace of play, rule changes, and statistical context. You feed it two players and it normalizes their stats so you're not comparing a 1960s NBA center to a modern one without accounting for pace differences. The real value is that it translates advanced metrics into plain English instead of assuming you know what VORP or true shooting percentage means. Best for settling arguments about cross-era greatness or making roster decisions when scouting data spans multiple leagues. Works across sports, though you'll get better results with major leagues that have robust historical data.
npx skills add https://github.com/onewave-ai/claude-skills --skill player-comparison-tool