This turns raw research data into proper user personas following Alan Cooper's behavioral pattern approach. Feed it interview transcripts, survey results, or analytics and it identifies behavioral clusters, then generates 2-4 personas with demographics, goals, frustrations, scenarios, and design implications. It automatically prioritizes which persona to design for first and flags research gaps. The output follows UX best practices with day-in-the-life narratives and actionable takeaways rather than shallow demographic profiles. Useful when you're sitting on a pile of user research and need to synthesize it into something your team can actually design against.
npx skills add https://github.com/owl-listener/designer-skills --skill user-persona