app-store-optimization

14 stars 7 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
#ASO#claude-ai#claude-skill#agentic-framework#ASO Score#app-store-optimization#playstore#Keyword Research

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Installation for Agentic Skill

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skilz install alirezarezvani/claude-code-aso-skill/app-store-optimization
skilz install alirezarezvani/claude-code-aso-skill/app-store-optimization --agent opencode
skilz install alirezarezvani/claude-code-aso-skill/app-store-optimization --agent codex
skilz install alirezarezvani/claude-code-aso-skill/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-aso-skill
2. Copy the agent skill directory:
cp -r claude-code-aso-skill/app-store-optimization ~/.claude/skills/

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

Related Agentic Skills

Agentic Skill Details

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

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

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 scripts
  • references/best-practices.md – Platform-specific guidance (App Store, Google Play)
  • references/examples.md – Concrete input/output examples
  • references/platform-specs.md – Metad...

AI-Detected Topics

Extracted using NLP analysis

ASO claude-ai claude-skill agentic-framework ASO Score app-store-optimization playstore Keyword Research ios Apple App

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