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app-store-optimization — an installable skill for AI agents, published by sickn33/antigravity-awesome-skills.
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 metrics
compare_keywords(): Compare multiple keywords
find_long_tail(): Discover long-tail keyword opportunities
calculate_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 titles
optimize_description(): Generate conversion-focused descriptions
optimize_keyword_field(): Maximize Apple's 100-char keyword field
validate_character_limits(): Ensure compliance with platform limits
calculate_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 leaders
analyze_competitor_metadata(): Extract and analyze competitor keywords
compare_visual_assets(): Evaluate icons and screenshots
identify_gaps(): Find competitive opportunities
aso_scorer.py
Calculates comprehensive ASO health score across multiple dimensions.
Key Functions:
calculate_overall_score(): Compute 0-100 ASO score
score_metadata_quality(): Evaluate title, description, keywords
score_ratings_reviews(): Assess rating quality and volume
score_keyword_performance(): Analyze ranking positions
score_conversion_metrics(): Evaluate impression-to-install rates
generate_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 and variables
calculate_sample_size(): Determine required test duration
calculate_significance(): Assess statistical significance
track_results(): Monitor test performance
generate_report(): Summarize test outcomes
localization_helper.py
Manages multi-language ASO optimization strategies.
Key Functions:
identify_target_markets(): Recommend localization priorities
translate_metadata(): Generate localized metadata
adapt_keywords(): Research locale-specific keywords
validate_translations(): Check character limits per language
calculate_localization_roi(): Estimate impact of localization
review_analyzer.py
Analyzes user reviews for sentiment, issues, and feature requests.
Key Functions:
analyze_sentiment(): Calculate positive/negative/neutral ratios
extract_common_themes(): Identify frequently mentioned topics
identify_issues(): Surface bugs and user complaints
find_feature_requests(): Extract desired features
track_sentiment_trends(): Monitor sentiment over time
generate_response_templates(): Create review response drafts
launch_checklist.py
Generates comprehensive pre-launch and update checklists.
Key Functions:
generate_prelaunch_checklist(): Complete submission validation
validate_app_store_compliance(): Check Apple guidelines
validate_play_store_compliance(): Check Google policies
create_update_plan(): Plan update cadence and features
optimize_launch_timing(): Recommend release dates
plan_seasonal_campaigns(): Identify seasonal opportunities
Best Practices
Keyword Research
Volume vs. Competition: Balance high-volume keywords with achievable rankings
Relevance First: Only target keywords genuinely relevant to your app
Long-Tail Strategy: Include 3-4 word phrases with lower competition
Continuous Research: Keyword trends change—research quarterly
Competitor Keywords: Don't copy blindly; ensure relevance to your features
Metadata Optimization
Front-Load Keywords: Place most important keywords early in title/description
Natural Language: Write for humans first, SEO second
Feature Benefits: Focus on user benefits, not just features
A/B Test Everything: Test titles, descriptions, screenshots systematically
Update Regularly: Refresh metadata every major update
Character Limits: Use every character—don't waste valuable space
Apple Keyword Field: No plurals, duplicates, or spaces between commas
Visual Assets
Icon: Must be recognizable at small sizes (60x60px)
Screenshots: First 2-3 are critical—most users don't scroll
Captions: Use screenshot captions to tell your value story
Consistency: Match visual style to app design
A/B Test Icons: Icon is the single most important visual element
Reviews & Ratings
Respond Quickly: Reply to reviews within 24-48 hours
Professional Tone: Always courteous, even with negative reviews
Address Issues: Show you're actively fixing reported problems
Thank Supporters: Acknowledge positive reviews
Prompt Strategically: Ask for ratings after positive experiences
Launch Strategy
Soft Launch: Consider launching in smaller markets first
PR Timing: Coordinate press coverage with launch
Update Frequently: Initial updates signal active development
Monitor Closely: Track metrics daily for first 2 weeks
Iterate Quickly: Fix critical issues immediately
Localization
Prioritize Markets: Start with English, Spanish, Chinese, French, German
Native Speakers: Use professional translators, not machine translation
Cultural Adaptation: Some features resonate differently by culture
Test Locally: Have native speakers review before publishing
Measure ROI: Track downloads by locale to assess impact
Limitations
Data Dependencies
Keyword search volume estimates are approximate (no official data from Apple/Google)
Competitor data may be incomplete for private apps
Review analysis limited to public reviews (can't access private feedback)
Historical data may not be available for new apps
Platform Constraints
Apple App Store keyword changes require app submission (except Promotional Text)
Google Play Store metadata changes take 1-2 hours to index
A/B testing requires significant traffic for statistical significance
Store algorithms are proprietary and change without notice
Industry Variability
ASO benchmarks vary significantly by category (games vs. utilities)
Seasonality affects different categories differently
Geographic markets have different competitive landscapes
Cultural preferences impact what works in different countries
Scope Boundaries
Does not include paid user acquisition strategies (Apple Search Ads, Google Ads)
Does not cover app development or UI/UX optimization
Does not include app analytics implementation (use Firebase, Mixpanel, etc.)
Does not handle app submission technical issues (provisioning profiles, certificates)
When NOT to Use This Skill
For web apps (different SEO strategies apply)
For enterprise apps not in public stores
For apps in beta/TestFlight only
If you need paid advertising strategies (use marketing skills instead)
Integration with Other Skills
This skill works well with:
Content Strategy Skills: For creating app descriptions and marketing copy
Analytics Skills: For analyzing download and engagement data
Localization Skills: For managing multi-language content
Design Skills: For creating optimized visual assets
Marketing Skills: For coordinating broader launch campaigns
Version & Updates
This skill is based on current Apple App Store and Google Play Store requirements as of November 2025. Store policies and best practices evolve—verify current requirements before major launches.
Key Updates to Monitor:
Apple App Store Connect updates (apple.com/app-store/review/guidelines)
Google Play Console updates (play.google.com/console/about/guides/releasewithconfidence)
iOS/Android version adoption rates (affects device testing)
Store algorithm changes (follow ASO blogs and communities)
When to Use
This skill is applicable to execute the workflow or actions described in the overview.don't have the plugin yet? install it then click "run inline in claude" again.