app-store-optimization

Installation
Summary

Complete App Store Optimization toolkit for researching, optimizing, and tracking mobile app performance across Apple App Store and Google Play Store.

  • Covers keyword research, competitor analysis, metadata optimization (titles, descriptions, keywords), and visual asset strategies with platform-specific character limit validation
  • Includes review sentiment analysis, rating improvement tactics, and A/B testing frameworks for continuous conversion optimization
  • Provides ASO health scoring across metadata quality, ratings, keyword performance, and conversion metrics with prioritized improvement recommendations
  • Supports multi-language localization strategies, pre-launch checklists, and launch timing optimization for global reach
  • Built-in Python scripts for keyword analysis, competitor benchmarking, review tracking, and test planning across both platforms
SKILL.md

App Store Optimization (ASO) Skill

This comprehensive skill provides complete ASO capabilities for successfully launching and optimizing mobile applications on the Apple App Store and Google Play Store.

Capabilities

Research & Analysis

  • Keyword Research: Analyze keyword volume, competition, and relevance for app discovery
  • Competitor Analysis: Deep-dive into top-performing apps in your category
  • Market Trend Analysis: Identify emerging trends and opportunities in your app category
  • Review Sentiment Analysis: Extract insights from user reviews to identify strengths and issues
  • Category Analysis: Evaluate optimal category and subcategory placement strategies

Metadata Optimization

  • Title Optimization: Create compelling titles with optimal keyword placement (platform-specific character limits)
  • Description Optimization: Craft both short and full descriptions that convert and rank
  • Subtitle/Promotional Text: Optimize Apple-specific subtitle (30 chars) and promotional text (170 chars)
  • Keyword Field: Maximize Apple's 100-character keyword field with strategic selection
  • Category Selection: Data-driven recommendations for primary and secondary categories
Related skills
Installs
1.2K
GitHub Stars
37.3K
First Seen
Jan 19, 2026