Extract themes, complaints, and feature requests from app reviews at scale.
/app-review-analyzer1-2 days → 10 min
Compared to doing it manually
/app-review-analyzerType this in Claude to run the skill
Hundreds of reviews contain valuable patterns, but reading them all would take days.
/welcome/app-review-analyzer 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.
/feature-request-analyzerTurn scattered feature requests into a prioritized list based on actual demand.
Look beyond star ratings — read the text. Categorize by theme (bugs, features, UX). Track sentiment over time. Pay attention to recent reviews and changes after releases.
Respond quickly, acknowledge the issue, apologize if appropriate, and offer a path forward. Don't be defensive. Resolving issues publicly shows you care — and can turn critics into advocates.
Get all 70 skills running in a system that knows your company, product, and customers.
All 70 skills + your company context in one system.