app-store-optimization
Complete App Store Optimization (ASO) toolkit for researching, optimizing, and tracking mobile app performance on Apple App Store and Google Play Store
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Installation for Agentic Skill
View all platforms →skilz install alirezarezvani/claude-code-aso-skill/app-store-optimizationskilz install alirezarezvani/claude-code-aso-skill/app-store-optimization --agent opencodeskilz install alirezarezvani/claude-code-aso-skill/app-store-optimization --agent codexskilz install alirezarezvani/claude-code-aso-skill/app-store-optimization --agent geminiFirst time? Install Skilz: pip install skilz
Works with 22+ AI coding assistants
Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...
Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/alirezarezvani/claude-code-aso-skillcp -r claude-code-aso-skill/app-store-optimization ~/.claude/skills/Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Owner
- alirezarezvani (GitHub)
- Repository
- claude-code-aso-skill
- Stars
- 14
- Forks
- 7
- Type
- Other
- Meta-Domain
- Primary Domain
- Market Score
- 0
Agent Skill Grade
C Score: 72/100 Click to see breakdown
Score Breakdown
Areas to Improve
- Description needs trigger phrases
- No reference files
- Excessive fluff
Recommendations
- Address 3 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've been looking at how skills handle niche domains like ASO, and your approach to structuring this caught my attention—there's real potential here, but the execution needs some tightening to match the scope you're targeting.
Links:
TL;DR
You're at 72/100, solid C-grade territory. This is based on Anthropic's skill architecture rubric (PDA, spec compliance, utility, etc.). Your strongest area is Utility (15/20)—the ASO problem-solving is genuinely useful. Weakest spot: Progressive Disclosure Architecture (18/30)—your 404-line monolithic file defeats the whole "progressive" concept.
What's Working Well
- Solid domain coverage: You're hitting real ASO needs (keyword research, competitor analysis, tracking). The utility pillar reflects that.
- Clear triggers in description: Terms like "app store optimization", "research keywords", "analyze competitors" make this discoverable.
- Good JSON schemas: Your Input Formats section has concrete structure for what Claude needs—that's chef's kiss for clarity.
- Bonus points earned: You got +4 on modifiers for grep-friendly structure and explicit scope boundaries. That's not nothing.
The Big One: Kill the Monolith
Your 404-line SKILL.md is the anchor dragging your score down. Right now everything's crammed inline—capabilities, scripts, best practices, platform specs, examples. This kills your PDA score (18 instead of 26+).
Here's the fix: Split into 4 reference files:
references/scripts.md– All the actual optimization scriptsreferences/best-practices.md– Platform-specific guidance (App Store, Google Play)references/examples.md– Concrete input/output examplesreferences/platform-specs.md– Metad...
AI-Detected Topics
Extracted using NLP analysis
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