aso-audit

Audit Apple App Store and Google Play listings across six weighted dimensions.

5|Updated Mar 27, 2026
One-click install
npx skills add https://github.com/barkleesanders/claude-code-starter --skill aso-audit-barkleesanders
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: aso-audit
Source: https://github.com/barkleesanders/claude-code-starter/tree/main/skills/aso-audit
Command: npx skills add https://github.com/barkleesanders/claude-code-starter --skill aso-audit-barkleesanders

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill solves the common problem of app store listings underperforming due to unoptimized metadata, weak visual assets, poor ratings, or missing conversion signals, which leads to low search visibility, reduced download rates, and lost revenue for app developers and growth teams.

Core Features & Use Cases

  • Comprehensive ASO Auditing: Evaluates Apple App Store and Google Play listings across 6 weighted dimensions (title/subtitle, description, visual assets, ratings/reviews, metadata freshness, conversion signals) using official platform specs and industry benchmarks.
  • Prioritized Action Plans: Generates specific, actionable recommendations ordered by impact vs effort, including quick wins that take under 1 hour to implement.
  • Competitor Comparison: Optionally compares your app against 2-3 top competitors to identify keyword gaps, visual asset opportunities, and performance differences.
  • Use Case: For example, if your fitness app has a 3.8-star rating and only 3 screenshots, use this Skill to get a scored audit, learn that improving your rating to 4.2+ could increase conversions by 20-30%, and get exact screenshot copy recommendations to boost installs.

Quick Start

Use the aso-audit skill to analyze my Apple App Store listing at https://apps.apple.com/us/app/my-fitness-app/id123456789 and provide a full prioritized optimization report.

Frequently Asked Questions about aso-audit

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

FAQPage Schema
How do I audit my app store listing to improve search ranking and installs?

An app store optimization audit evaluates your Apple App Store and Google Play listings across six weighted dimensions to identify metadata and visual asset gaps. This generates a prioritized, actionable improvement plan to boost search visibility and download conversion rates.

What app store elements are evaluated during an ASO audit?

App store optimization audits score your title, subtitle, description, visual assets, ratings, reviews, metadata freshness, and conversion signals. These components are benchmarked against official platform specifications and adjusted for your brand maturity tier.

Can I compare my app store listing against competitors to find keyword gaps?

Yes, you can compare your app store listing against two or three top competitors. This comparison identifies keyword gaps, visual asset opportunities, and performance differences to refine your optimization strategy.

Does the ASO audit work for both Apple App Store and Google Play applications?

Yes, the ASO audit supports both Apple App Store and Google Play applications. It applies platform-specific recommendations and official specifications to ensure optimization plans target the correct operating system environments.

How do I get a prioritized action plan for app store optimization?

The audit generates specific recommendations ordered by impact versus effort, including quick wins implementable in under an hour. This prioritized action plan targets metadata, visual assets, and ratings to effectively increase app installs.

What is the best way to increase app downloads when my rating is below 4 stars?

Auditing your app store listing identifies that improving a low rating to 4.2 or higher can increase conversions by twenty to thirty percent. The resulting report provides exact screenshot copy and visual asset recommendations to boost installs.