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 and variablescalculate_sample_size(): Determine required test durationcalculate_significance(): Assess statistical significancetrack_results(): Monitor test performancegenerate_report(): Summarize test outcomes
localization_helper.py
Manages multi-language ASO optimization strategies.
Key Functions:
identify_target_markets(): Recommend localization prioritiestranslate_metadata(): Generate localized metadataadapt_keywords(): Research locale-specific keywordsvalidate_translations(): Check character limits per languagecalculate_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 ratiosextract_common_themes(): Identify frequently mentioned topicsidentify_issues(): Surface bugs and user complaintsfind_feature_requests(): Extract desired featurestrack_sentiment_trends(): Monitor sentiment over timegenerate_response_templates(): Create review response drafts
launch_checklist.py
Generates comprehensive pre-launch and update checklists.
Key Functions:
generate_prelaunch_checklist(): Complete submission validationvalidate_app_store_compliance(): Check Apple guidelinesvalidate_play_store_compliance(): Check Google policiescreate_update_plan(): Plan update cadence and featuresoptimize_launch_timing(): Recommend release datesplan_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
