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app-store-optimization

325 stars 73 forks
0
C

Complete App Store Optimization (ASO) toolkit for researching, optimizing, and tracking mobile app performance on Apple App Store and Google Play Store

CommandsAgents
#Optimization#claude-skills-creator#ASO#ai-agents#claude-code#ASO Score#claude-ai#Store

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Installation for Agentic Skill

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skilz install alirezarezvani/claude-code-skill-factory/app-store-optimization
skilz install alirezarezvani/claude-code-skill-factory/app-store-optimization --agent opencode
skilz install alirezarezvani/claude-code-skill-factory/app-store-optimization --agent codex
skilz install alirezarezvani/claude-code-skill-factory/app-store-optimization --agent gemini

First time? Install Skilz: pip install skilz

Works with 22+ AI coding assistants

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Download Agent Skill ZIP

Extract and copy to ~/.claude/skills/ then restart Claude Desktop

1. Clone the repository:
git clone https://github.com/alirezarezvani/claude-code-skill-factory
2. Copy the agent skill directory:
cp -r claude-code-skill-factory/generated-skills/app-store-optimization ~/.claude/skills/
View on GitHub

Need detailed installation help? Check our platform-specific guides:

Claude Desktop Guide Claude Code Guide Troubleshooting

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Agentic Skill Details

Owner
alirezarezvani (GitHub)
Repository
claude-code-skill-factory
Stars
325
Forks
73
Type
Non-Technical
Meta-Domain
data ai
Primary Domain
data analysis
Market Score
0
Agentic Skill Grades →

Agent Skill Grade

C
Score: 75/100 Click to see breakdown

Score Breakdown

Spec Compliance
11/15
PDA Architecture
18/30
Ease of Use
20/25
Writing Style
6/10
Utility
16/20
Modifiers: +4

Areas to Improve

  • Description needs trigger phrases
  • Excessive verbosity and repetition
  • Second-person voice throughout

Recommendations

  • Address 2 high-severity issues first
  • Add trigger phrases to description for discoverability
  • Add table of contents for files over 100 lines

Graded: 2026-01-24

Developer Feedback

I checked out your skill and noticed you're tackling app store optimization—a domain where the details really matter since small changes in metadata and positioning can have outsized impact. Your 75 score suggests solid fundamentals, but I'm curious whether you're diving deep enough into the platform-specific nuances (iOS vs Google Play have pretty different ranking algorithms) that would push this from good to exceptional.

Links:

The TL;DR

You're at 75/100, C territory. This is based on Anthropic's progressive disclosure architecture and agentic skill best practices. Your strongest area is Ease of Use (20/25)—the triggers are clear and the capability list makes sense. The weakest? Progressive Disclosure Architecture (18/30)—you're not being concise, and that's costing you tokens and clarity.

What's Working Well

  • Clear trigger phrases in metadata - "ASO", "app store optimization", "keyword research" all signal what you do
  • Comprehensive capability coverage - You're handling keyword research, metadata optimization, A/B testing, and scoring, which hits the main ASO workflows
  • Sensible input structure - JSON format for app details with platform-specific fields (bundleId, packageName) shows you understand iOS/Android differences
  • Concrete use cases - The examples reference real platforms and realistic scenarios (title optimization for App Store, keyword research for Play Store)

The Big One: Token Economy Problem

Your SKILL.md is 404 lines—that's bloated. Worse, you've got README.md (431 lines) and HOW_TO_USE.md duplicating content instead of extending it. This violates the progressive disclosure principle, which costs you ~5 poi...

AI-Detected Topics

Extracted using NLP analysis

Optimization claude-skills-creator ASO ai-agents claude-code ASO Score claude-ai Store Key Functions Keyword Field

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