Create data-backed user personas that go beyond demographics to capture behaviors and motivations.
/persona-generator8+ hrs → 1 hr
Compared to doing it manually
/persona-generatorType this in Claude to run the skill
Personas are either demographic stereotypes ("Marketing Mary, 35, lives in suburbs") or so stale they're useless. Real behavioral patterns get lost.
Agent workflows chain multiple skills into one command.
/welcome/persona-generator in Claude to run the skill/jtbd-extractorExtract Jobs-to-be-Done statements from research data to uncover innovation opportunities.
/user-interview-analyzerTransform interview transcripts into structured insights with quotes, patterns, and recommendations.
/feedback-categorizerAnalyze and categorize customer feedback into actionable themes using affinity mapping.
/app-review-analyzerExtract themes, complaints, and feature requests from app reviews at scale.
A persona is a fictional representation of your ideal customer based on real research. It includes demographics, goals, frustrations, and behaviors — helping teams build empathy and make user-centered decisions.
Typically 2-4 primary personas. More than that dilutes focus. If you have many user types, prioritize the ones that drive the most value or represent your core market.
Segments are groups defined by data (e.g., "enterprise customers"). Personas are narrative characters that bring segments to life with goals, frustrations, and context. Personas help teams empathize; segments help with analysis.
Test personas against real user research. If your persona says users care about X, verify that in interviews. Update personas quarterly as you learn more about your users.
Get all 70 skills running in a system that knows your company, product, and customers.
All 70 skills + your company context in one system.