app-store-optimization
Optimizes mobile app store content through keyword research, competitor analysis, and title adjustments.
Install
mkdir -p .claude/skills/app-store-optimization && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/757" && unzip -o skill.zip -d .claude/skills/app-store-optimization && rm skill.zipInstalls to .claude/skills/app-store-optimization
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Complete App Store Optimization (ASO) toolkit for researching, optimizing, and tracking mobile app performance on Apple App Store and Google Play StoreKey capabilities
- →Analyze keyword volume, competition, and relevance for app discovery
- →Deep-dive into top-performing apps in your category
- →Create compelling titles with optimal keyword placement
- →Craft short and full descriptions that convert and rank
- →Track keyword position changes over time
- →Monitor impression-to-install conversion rates
How it works
The skill analyzes app performance, conducts keyword research, and optimizes app store metadata by considering platform-specific requirements and character limits. It provides insights into competitor strategies and market trends.
Inputs & outputs
When to use app-store-optimization
- →Optimizing app store descriptions
- →Researching high-volume keywords
- →Analyzing competitor app rankings
- →Improving app discoverability
About this skill
App Store Optimization (ASO) Skill
This comprehensive skill provides complete ASO capabilities for successfully launching and optimizing mobile applications on the Apple App Store and Google Play Store.
Capabilities
Research & Analysis
- Keyword Research: Analyze keyword volume, competition, and relevance for app discovery
- Competitor Analysis: Deep-dive into top-performing apps in your category
- Market Trend Analysis: Identify emerging trends and opportunities in your app category
- Review Sentiment Analysis: Extract insights from user reviews to identify strengths and issues
- Category Analysis: Evaluate optimal category and subcategory placement strategies
Metadata Optimization
- Title Optimization: Create compelling titles with optimal keyword placement (platform-specific character limits)
- Description Optimization: Craft both short and full descriptions that convert and rank
- Subtitle/Promotional Text: Optimize Apple-specific subtitle (30 chars) and promotional text (170 chars)
- Keyword Field: Maximize Apple's 100-character keyword field with strategic selection
- Category Selection: Data-driven recommendations for primary and secondary categories
- Icon Best Practices: Guidelines for designing high-converting app icons
- Screenshot Optimization: Strategies for creating screenshots that drive installs
- Preview Video: Best practices for app preview videos
- Localization: Multi-language optimization strategies for global reach
Conversion Optimization
- A/B Testing Framework: Plan and track metadata experiments for continuous improvement
- Visual Asset Testing: Test icons, screenshots, and videos for maximum conversion
- Store Listing Optimization: Comprehensive page optimization for impression-to-install conversion
- Call-to-Action: Optimize CTAs in descriptions and promotional materials
Rating & Review Management
- Review Monitoring: Track and analyze user reviews for actionable insights
- Response Strategies: Templates and best practices for responding to reviews
- Rating Improvement: Tactical approaches to improve app ratings organically
- Issue Identification: Surface common problems and feature requests from reviews
Launch & Update Strategies
- Pre-Launch Checklist: Complete validation before submitting to stores
- Launch Timing: Optimize release timing for maximum visibility and downloads
- Update Cadence: Plan optimal update frequency and feature rollouts
- Feature Announcements: Craft "What's New" sections that re-engage users
- Seasonal Optimization: Leverage seasonal trends and events
Analytics & Tracking
- ASO Score: Calculate overall ASO health score across multiple factors
- Keyword Rankings: Track keyword position changes over time
- Conversion Metrics: Monitor impression-to-install conversion rates
- Download Velocity: Track download trends and momentum
- Performance Benchmarking: Compare against category averages and competitors
Platform-Specific Requirements
- Apple App Store:
- Title: 30 characters
- Subtitle: 30 characters
- Promotional Text: 170 characters (editable without app update)
- Description: 4,000 characters
- Keywords: 100 characters (comma-separated, no spaces)
- What's New: 4,000 characters
- Google Play Store:
- Title: 50 characters (formerly 30, increased in 2021)
- Short Description: 80 characters
- Full Description: 4,000 characters
- No separate keyword field (keywords extracted from title and description)
Input Requirements
Keyword Research
{
"app_name": "MyApp",
"category": "Productivity",
"target_keywords": ["task manager", "productivity", "todo list"],
"competitors": ["Todoist", "Any.do", "Microsoft To Do"],
"language": "en-US"
}
Metadata Optimization
{
"platform": "apple" | "google",
"app_info": {
"name": "MyApp",
"category": "Productivity",
"target_audience": "Professionals aged 25-45",
"key_features": ["Task management", "Team collaboration", "AI assistance"],
"unique_value": "AI-powered task prioritization"
},
"current_metadata": {
"title": "Current Title",
"subtitle": "Current Subtitle",
"description": "Current description..."
},
"target_keywords": ["productivity", "task manager", "todo"]
}
Review Analysis
{
"app_id": "com.myapp.app",
"platform": "apple" | "google",
"date_range": "last_30_days" | "last_90_days" | "all_time",
"rating_filter": [1, 2, 3, 4, 5],
"language": "en"
}
ASO Score Calculation
{
"metadata": {
"title_quality": 0.8,
"description_quality": 0.7,
"keyword_density": 0.6
},
"ratings": {
"average_rating": 4.5,
"total_ratings": 15000
},
"conversion": {
"impression_to_install": 0.05
},
"keyword_rankings": {
"top_10": 5,
"top_50": 12,
"top_100": 18
}
}
Output Formats
Keyword Research Report
- List of recommended keywords with search volume estimates
- Competition level analysis (low/medium/high)
- Relevance scores for each keyword
- Strategic recommendations for primary vs. secondary keywords
- Long-tail keyword opportunities
Optimized Metadata Package
- Platform-specific title (with character count validation)
- Subtitle/promotional text (Apple)
- Short description (Google)
- Full description (both platforms)
- Keyword field (Apple - 100 chars)
- Character count validation for all fields
- Keyword density analysis
- Before/after comparison
Competitor Analysis Report
- Top 10 competitors in category
- Their metadata strategies
- Keyword overlap analysis
- Visual asset assessment
- Rating and review volume comparison
- Identified gaps and opportunities
ASO Health Score
- Overall score (0-100)
- Category breakdown:
- Metadata Quality (0-25)
- Ratings & Reviews (0-25)
- Keyword Performance (0-25)
- Conversion Metrics (0-25)
- Specific improvement recommendations
- Priority action items
A/B Test Plan
- Hypothesis and test variables
- Test duration recommendations
- Success metrics definition
- Sample size calculations
- Statistical significance thresholds
Launch Checklist
- Pre-submission validation (all required assets, metadata)
- Store compliance verification
- Testing checklist (devices, OS versions)
- Marketing preparation items
- Post-launch monitoring plan
How to Use
Keyword Research
Hey Claude—I just added the "app-store-optimization" skill. Can you research the best keywords for a productivity app targeting professionals? Focus on keywords with good search volume but lower competition.
Optimize App Store Listing
Hey Claude—I just added the "app-store-optimization" skill. Can you optimize my app's metadata for the Apple App Store? Here's my current listing: [provide current metadata]. I want to rank for "task management" and "productivity tools".
Analyze Competitor Strategy
Hey Claude—I just added the "app-store-optimization" skill. Can you analyze the ASO strategies of Todoist, Any.do, and Microsoft To Do? I want to understand what they're doing well and where there are opportunities.
Review Sentiment Analysis
Hey Claude—I just added the "app-store-optimization" skill. Can you analyze recent reviews for my app (com.myapp.ios) and identify the most common user complaints and feature requests?
Calculate ASO Score
Hey Claude—I just added the "app-store-optimization" skill. Can you calculate my app's overall ASO health score and provide specific recommendations for improvement?
Plan A/B Test
Hey Claude—I just added the "app-store-optimization" skill. I want to A/B test my app icon and first screenshot. Can you help me design the test and determine how long to run it?
Pre-Launch Checklist
Hey Claude—I just added the "app-store-optimization" skill. Can you generate a comprehensive pre-launch checklist for submitting my app to both Apple App Store and Google Play Store?
Scripts
keyword_analyzer.py
Analyzes keywords for search volume, competition, and relevance. Provides strategic recommendations for primary and secondary keywords.
Key Functions:
analyze_keyword(): Analyze single keyword metricscompare_keywords(): Compare multiple keywordsfind_long_tail(): Discover long-tail keyword opportunitiescalculate_keyword_difficulty(): Assess competition level
metadata_optimizer.py
Optimizes titles, descriptions, and keyword fields with platform-specific character limit validation.
Key Functions:
optimize_title(): Create compelling, keyword-rich titlesoptimize_description(): Generate conversion-focused descriptionsoptimize_keyword_field(): Maximize Apple's 100-char keyword fieldvalidate_character_limits(): Ensure compliance with platform limitscalculate_keyword_density(): Analyze keyword usage in metadata
competitor_analyzer.py
Analyzes top competitors' ASO strategies and identifies opportunities.
Key Functions:
get_top_competitors(): Identify category leadersanalyze_competitor_metadata(): Extract and analyze competitor keywordscompare_visual_assets(): Evaluate icons and screenshotsidentify_gaps(): Find competitive opportunities
aso_scorer.py
Calculates comprehensive ASO health score across multiple dimensions.
Key Functions:
calculate_overall_score(): Compute 0-100 ASO scorescore_metadata_quality(): Evaluate title, description, keywordsscore_ratings_reviews(): Assess rating quality and volumescore_keyword_performance(): Analyze ranking positionsscore_conversion_metrics(): Evaluate impression-to-install ratesgenerate_recommendations(): Provide prioritized action items
ab_test_planner.py
Plans and tracks A/B tests for metadata and visual assets.
Key Functions:
design_test(): Create test hypothesis
Content truncated.
When not to use it
- →For web apps (different SEO strategies apply)
- →For enterprise apps not in public stores
- →If you need paid advertising strategies
Limitations
- →Competitor data may be incomplete for private apps
- →Review analysis limited to public reviews
- →Historical data may not be available for new apps
How it compares
This skill provides a structured framework for optimizing app store presence, including keyword research and metadata optimization, which is more systematic than manual trial-and-error adjustments.
Compared to similar skills
app-store-optimization side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| app-store-optimization (this skill) | 19 | 6mo | Review | Intermediate |
| google-analytics | 43 | 6mo | Review | Intermediate |
| analytics-tracking | 7 | 6mo | No flags | Intermediate |
| developing-in-lightdash | 1 | 27d | Review | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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