app-store-optimization

app-store-optimization is a comprehensive App Store Optimization toolkit for researching, optimizing, and tracking mobile app performance on the Apple App Store and Google Play Store. It solves the visibility-and-conversion problem for app publishers: how to choose keywords, craft metadata within each platform's character limits, understand competitors, analyze reviews, plan A/B tests, and track ASO health over time. The skill bundles a SKILL.md, usage guide, and several Python analyzer scripts (keyword, competitor, review, ASO scorer, metadata optimizer, A/B test planner, localization helper, launch checklist).

Capabilities span research and analysis (keyword research, competitor analysis, market trends, review sentiment, category placement), metadata optimization (titles, descriptions, Apple subtitle/promotional text and 100-character keyword field, screenshots, preview video, localization), conversion optimization and A/B testing frameworks, rating and review management, launch and update strategies, and analytics such as an overall ASO health score and keyword-ranking tracking. It documents precise platform-specific character limits for both stores and defines JSON input formats for keyword research and metadata optimization, with a HOW_TO_USE guide of worked example prompts.

The target users are indie developers, mobile marketers, growth teams, and product managers preparing an app launch or improving an existing listing. Note that although the skill's frontmatter self-labels risk as "critical," the actual content is benign marketing and metadata analysis: the scripts analyze keywords, reviews, and metrics and compute scores, with no destructive operations, remote code execution, or data exfiltration evident in the source.