app-store-optimization

Analyze app store keywords, metadata, and competitors for ASO.

Updated Mar 4, 2026
One-click install
npx skills add https://github.com/Tonybleything76/more-claude-skills --skill app-store-optimization-tonybleything76
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: app-store-optimization
Source: https://github.com/Tonybleything76/more-claude-skills/tree/main/marketing-skill/app-store-optimization
Command: npx skills add https://github.com/Tonybleything76/more-claude-skills --skill app-store-optimization-tonybleything76

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pypdf, pdfplumber, pdf2image, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill helps app developers and marketers improve their app's visibility, ranking, and download numbers on the Apple App Store and Google Play Store by optimizing their store listing.

Core Features & Use Cases

  • Keyword Research: Discover high-potential keywords for your app.
  • Metadata Optimization: Craft compelling titles, descriptions, and keyword fields.
  • Competitor Analysis: Understand what your competitors are doing well.
  • ASO Score: Get a health score for your app's optimization.
  • Use Case: A developer wants to increase downloads for their new productivity app. They use this Skill to research keywords like "task manager" and "productivity app", optimize their app title and description to include these keywords, and analyze competitors like Todoist to find gaps.

Quick Start

Use the app-store-optimization skill to research keywords for my new fitness app.

Frequently Asked Questions about app-store-optimization

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

FAQPage Schema
How do I improve my app store ranking and increase mobile app visibility?

App store optimization improves your app store ranking by researching high-potential keywords, optimizing metadata like titles and descriptions, and analyzing competitors to increase visibility and downloads on both Apple App Store and Google Play Store.

What is the best way to do keyword research for my app store listing?

The best way to do keyword research for an app store listing is to discover high-potential keywords relevant to your app category, analyze competitor keyword gaps, and apply these terms directly into your app title and description metadata.

How do I optimize app metadata like titles and descriptions for Apple App Store and Google Play?

To optimize app metadata, craft compelling titles, descriptions, and keyword fields tailored for the Apple App Store and Google Play Store, ensuring high-potential keywords are integrated naturally to boost search visibility.

Can I analyze competitor app store listings to find keyword gaps?

Yes, you can analyze competitor app store listings to understand what they are doing well, identify keyword gaps in their strategy, and leverage those opportunities to improve your own app store ranking and downloads.

Does app store optimization support A/B testing and localization strategies?

Yes, app store optimization supports A/B testing and localization strategies, allowing you to test different metadata variations and adapt your app listing for international markets to maximize downloads.

Why do I need Python modules like pypdf and pdfplumber for app marketing?

Python modules like pypdf and pdfplumber are used for deterministic task execution and data analysis during app marketing, enabling automated processing of reference documents and competitor data to calculate your ASO score.