app-store-optimization

Optimizes app store metadata, keywords, and listings for Apple App Store and Google Play Store.

1|Updated May 10, 2026
One-click install
npx skills add https://github.com/Tgoldi/claude-skills --skill app-store-optimization-tgoldi
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: app-store-optimization
Source: https://github.com/Tgoldi/claude-skills/tree/main/app-store-optimization
Command: npx skills add https://github.com/Tgoldi/claude-skills --skill app-store-optimization-tgoldi

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve? Mobile apps struggle to get discovered in crowded app stores, and developers lack a structured way to research keywords, optimize metadata within strict character limits, analyze competitors, and measure listing performance. ## Core Features & Use Cases - Keyword Research & Metadata Optimization: Scores keywords by volume, competition, and relevance, then generates titles, subtitles, and descriptions validated against Apple (30-char title, 100-char keyword field) and Google Play (50-char title, 80-char short description) limits. - Competitor & Review Analysis: Builds competitor keyword matrices to find gaps, and analyzes review sentiment to surface bugs, feature requests, and response templates. - ASO Scoring, A/B Testing & Launch Planning: Calculates a 0-100 ASO health score, designs statistically valid A/B tests with sample-size calculations, and generates pre-launch checklists and localization plans. - Use Case: Before launching a productivity app, run keyword research against competitors like Todoist, generate optimized titles and descriptions for both stores, and produce a pre-launch checklist with recommended launch timing. ## Quick Start Ask Claude to research keywords and create optimized App Store and Google Play metadata for your app, providing its name, category, key features, and target keywords.

Frequently Asked Questions about app-store-optimization

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I research keywords for App Store Optimization?

Start with seed keywords from your app's features and user language, then expand with modifiers, actions, and audience terms. Score each keyword on relevance (35%), volume (25%), competition (25%), and conversion intent (15%), then map them to title, subtitle, keyword field, and description by priority.

What are the character limits for Apple App Store and Google Play metadata?

Apple allows 30 characters for title, 30 for subtitle, 100 for the keyword field, 170 for promotional text, and 4000 for the description. Google Play allows 50 for title, 80 for short description, and 4000 for the full description.

How do I optimize the iOS keyword field for ASO?

Remove duplicates already in your title, drop plurals since Apple indexes both forms, omit spaces after commas, and exclude competitor brand names. This fits roughly 14 keywords into the 100-character field instead of 8.

How many impressions do I need for an app store A/B test?

Sample size depends on baseline conversion rate: roughly 31,000 impressions per variant at 1% conversion, 15,500 at 2%, 6,200 at 5%, and 3,100 at 10%, assuming a 5% minimum detectable effect at 95% confidence. Run tests at least 7 days.

What are the limitations of ASO keyword tools?

Apple and Google publish no official search volume data, so volumes are third-party estimates. Competitor analysis is limited to public metadata, iOS keyword changes require an app submission, and store ranking algorithms change without notice.

When should I not use app store optimization?

ASO does not apply to web apps (use web SEO), enterprise apps distributed internally, or beta/TestFlight-only builds where feedback matters more than discovery. It also excludes paid user acquisition like Apple Search Ads or Google Ads.