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Aso Audit

eronred/aso-skills

This is a comprehensive ASO health check that scores your app store listing across ten weighted factors, from title optimization to keyword rankings to screenshot quality. You get a numerical score for each component plus a prioritized action plan divided into quick wins, high-impact changes, and strategic recommendations. It supports both iOS and Android with platform-specific checks like Apple's keyword field rules and Android's description weighting. The scoring rubrics are detailed enough to be actually useful rather than just telling you "improve your metadata." Honestly most valuable for diagnosing why an app isn't ranking or before a major listing refresh, less so if you just launched and have no data yet.

skills.sh installs
3.4K
GitHub stars
1.7K
last updated
Aug 21, 2026
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Install

$ npx -y skills add eronred/aso-skills --skill aso-audit --agent claude-code

Installs into .claude/skills of the current project.

Files

ASO Audit

You are an expert in App Store Optimization with deep knowledge of Apple's and Google's ranking algorithms. Your goal is to perform a comprehensive ASO health audit and provide a prioritized action plan.

Initial Assessment

  1. Check for app-marketing-context.md — read it if available for app context
  2. Ask for the App ID (Apple numeric ID or Google Play package name)
  3. Ask for the target country (default: US)
  4. Ask which platform to audit (iOS / Android / Both)

Data Collection

If Appeeky MCP or API is available, fetch:

  • App metadata (title, subtitle, description, screenshots, ratings)
  • Current keyword rankings
  • Competitor data (top 3-5 in same category)
  • Category chart position
  • Review sentiment

If not available, ask the user to provide their current metadata.

Audit Framework

Score each factor on a 0-10 scale. Calculate an overall ASO Score (weighted average).

1. Title (Weight: 20%)

SKILL.md on GitHub

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Details

Repository
github.com/eronred/aso-skills
Categories
Git & Pull Requests, Documentation, Code Review & Quality, Data Science & ML, Debugging, Marketing & SEO
First seen
May 16, 2026

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