app-store-aso
Generate optimized Apple App Store metadata recommendations with ASO best practices. Use this skill when analyzing app listings, optimizing metadata (title, subtitle, description, keywords), performing competitive analysis, or validating App Store listing requirements. Triggers on queries about App Store optimization, metadata review, or screenshot strategy.
Best use case
app-store-aso is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Generate optimized Apple App Store metadata recommendations with ASO best practices. Use this skill when analyzing app listings, optimizing metadata (title, subtitle, description, keywords), performing competitive analysis, or validating App Store listing requirements. Triggers on queries about App Store optimization, metadata review, or screenshot strategy.
Teams using app-store-aso should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/app-store-aso/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How app-store-aso Compares
| Feature / Agent | app-store-aso | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Generate optimized Apple App Store metadata recommendations with ASO best practices. Use this skill when analyzing app listings, optimizing metadata (title, subtitle, description, keywords), performing competitive analysis, or validating App Store listing requirements. Triggers on queries about App Store optimization, metadata review, or screenshot strategy.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Apple App Store ASO Optimization ## Overview This skill enables comprehensive Apple App Store Optimization (ASO) analysis and metadata generation. Analyze existing app listings, generate optimized metadata following Apple's guidelines and character limits, provide competitive insights, and recommend screenshot storyboard strategies. ## Core Workflow When a user requests ASO optimization or metadata review: 1. **Analyze the App Context** - Understand the app's purpose, features, and target audience - Identify unique value propositions and competitive differentiators - Note any changes or updates the user mentions 2. **Load ASO Knowledge Base** - Reference `references/aso_learnings.md` for comprehensive ASO best practices - Apply competitive analysis strategies - Use proven optimization patterns 3. **Generate Optimized Metadata** - Create optimized app name, subtitle, and promotional text - Write compelling description with keyword optimization - Generate keyword list with strategic placement - Ensure all metadata follows Apple's character limits 4. **Validate Character Counts** - Use `scripts/validate_metadata.py` to verify all metadata meets Apple's requirements - Display validation results with character counts and limit compliance - Flag any violations with specific corrections needed 5. **Provide Screenshot Strategy** - Recommend screenshot storyboard sequence - Suggest messaging hierarchy and visual focus areas - Align screenshot strategy with metadata messaging ## Apple App Store Character Limits **Critical Limits to Validate:** - **App Name**: 30 characters maximum - **Subtitle**: 30 characters maximum - **Promotional Text**: 170 characters maximum - **Description**: 4,000 characters maximum - **Keywords**: 100 characters maximum (comma-separated, no spaces) - **What's New**: 4,000 characters maximum ## Metadata Validation Process After generating recommendations, always validate using the validation script: ```bash python scripts/validate_metadata.py ``` The script will: 1. Prompt for each metadata field 2. Calculate character counts 3. Check against Apple's limits 4. Display results with ✅ (pass) or ❌ (fail) indicators 5. Show exact character counts and remaining characters **Integration Pattern:** - Generate metadata recommendations - Run validation script with recommended content - Display validation results to user - Adjust any failing fields and re-validate ## Output Format Structure recommendations as: ### 📱 App Metadata Recommendations **App Name** (X/30 characters) [optimized name] **Subtitle** (X/30 characters) [optimized subtitle] **Promotional Text** (X/170 characters) [promotional text] **Keywords** (X/100 characters) [keyword,list,no,spaces] **Description** (X/4000 characters) [full description] ### 🎯 Competitive Analysis [Key insights and positioning recommendations] ### 📸 Screenshot Storyboard Strategy [Ordered list of screenshot recommendations with messaging] ### ✅ Validation Results [Output from validation script showing compliance] ## Resources ### scripts/validate_metadata.py Python script that validates App Store metadata against Apple's character limits. Provides interactive validation with clear pass/fail indicators. ### references/aso_learnings.md Comprehensive ASO knowledge base containing optimization strategies, competitive analysis frameworks, keyword research techniques, and proven best practices. Load this file to inform all ASO recommendations.
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