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