Benchmark Google Play competitor apps to produce an MVP feature priority matrix.
npx skills add https://github.com/fosejary/simple-todo --skill app-benchmark
Please help me install this Agent Skill. Skill: app-benchmark Source: https://github.com/fosejary/simple-todo/tree/main/.claude/skills/app-benchmark Command: npx skills add https://github.com/fosejary/simple-todo --skill app-benchmark
It solves the problem of guessing what to build by systematically benchmarking Google Play Store competitor apps so you can derive an evidence-based MVP feature priority.
Ask the app-benchmark skill to benchmark Android apps for a specific category and output an MVP feature priority plan based on a competitor feature matrix and review insights.
High-intent search queries and answers about installing and using this skill.
MVP prioritization uses competitor analysis to benchmark rival apps, extracting features and user review themes to build a feature matrix. This evidence-based approach groups capabilities into Must-have, Should-have, Nice-to-have, and Differentiator categories for final selection.
Competitor app benchmarking evaluates top category apps, recent launches, and overseas untapped opportunities. It extracts UI/UX patterns, monetization models, and review themes to identify evidence-based market gaps and prioritize your MVP features.
Google Play Store reviews are extracted to identify user pain points and desired functionalities. These review themes directly inform the feature matrix, converting qualitative feedback into Must-have, Should-have, and Nice-to-have MVP priorities.
A feature matrix for an Android app launch consolidates cross-app features, UI/UX patterns, and monetization models, estimating implementation difficulty. It groups findings into Must-have, Should-have, Nice-to-have, and Differentiator outputs for MVP prioritization.
App benchmarking specifically targets overseas untapped opportunities by analyzing recent launches and incumbents in the Google Play ecosystem. It extracts local UI/UX patterns and monetization models to recommend a differentiated MVP priority.
A competitor feature matrix should not be the sole source for product discovery when implementation difficulty estimates are uncertain. It groups features into Must-have and Differentiator outputs, but final MVP prioritization requires validating technical feasibility.
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