[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M7157RM9S0AYNAB8CV3R6KFV":3,"skill-same:01M7157RM9S0AYNAB8CV3R6KFV":117},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":39,"linkOnly":40,"markdownContent":41,"markdownBody":42,"frontMatter":43,"refName":45,"commitSha":46,"skillDirectory":47,"forksCount":14,"repositoryHtmlUrl":48,"repositoryHomepageUrl":6,"ownerHtmlUrl":49,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":50,"install":51,"resources":64},"01M7157RM9S0AYNAB8CV3R6KFV","app-store-optimization",null,"Complete App Store Optimization (ASO) toolkit for researching, optimizing, and tracking mobile app performance on Apple App Store and Google Play Store","sapsapshen\u002Fai-memory-router","sapsapshen","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F20347959?v=4","01M6XDQEF1DP50DKF37H81J3J5","shenmian","01M6XDQEJPE41Y3DT2763X8ZJN",0,"MIT","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fcursor\u002Fapp-store-optimization\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"app store","Optimization","app store optimization","store","app","community","2026","unknown","for","google play","complete","apple","google","mobile","mobile app","tracking","aso","play","toolkit","performance","2026-11-10 10:12:30",false,"---\nname: app-store-optimization\ndescription: \"Complete App Store Optimization (ASO) toolkit for researching, optimizing, and tracking mobile app performance on Apple App Store and Google Play Store\"\nrisk: unknown\nsource: community\ndate_added: \"2026-02-27\"\n---\n\n# App Store Optimization (ASO) Skill\n\nThis comprehensive skill provides complete ASO capabilities for successfully launching and optimizing mobile applications on the Apple App Store and Google Play Store.\n\n## Capabilities\n\n### Research & Analysis\n- **Keyword Research**: Analyze keyword volume, competition, and relevance for app discovery\n- **Competitor Analysis**: Deep-dive into top-performing apps in your category\n- **Market Trend Analysis**: Identify emerging trends and opportunities in your app category\n- **Review Sentiment Analysis**: Extract insights from user reviews to identify strengths and issues\n- **Category Analysis**: Evaluate optimal category and subcategory placement strategies\n\n### Metadata Optimization\n- **Title Optimization**: Create compelling titles with optimal keyword placement (platform-specific character limits)\n- **Description Optimization**: Craft both short and full descriptions that convert and rank\n- **Subtitle\u002FPromotional Text**: Optimize Apple-specific subtitle (30 chars) and promotional text (170 chars)\n- **Keyword Field**: Maximize Apple's 100-character keyword field with strategic selection\n- **Category Selection**: Data-driven recommendations for primary and secondary categories\n- **Icon Best Practices**: Guidelines for designing high-converting app icons\n- **Screenshot Optimization**: Strategies for creating screenshots that drive installs\n- **Preview Video**: Best practices for app preview videos\n- **Localization**: Multi-language optimization strategies for global reach\n\n### Conversion Optimization\n- **A\u002FB Testing Framework**: Plan and track metadata experiments for continuous improvement\n- **Visual Asset Testing**: Test icons, screenshots, and videos for maximum conversion\n- **Store Listing Optimization**: Comprehensive page optimization for impression-to-install conversion\n- **Call-to-Action**: Optimize CTAs in descriptions and promotional materials\n\n### Rating & Review Management\n- **Review Monitoring**: Track and analyze user reviews for actionable insights\n- **Response Strategies**: Templates and best practices for responding to reviews\n- **Rating Improvement**: Tactical approaches to improve app ratings organically\n- **Issue Identification**: Surface common problems and feature requests from reviews\n\n### Launch & Update Strategies\n- **Pre-Launch Checklist**: Complete validation before submitting to stores\n- **Launch Timing**: Optimize release timing for maximum visibility and downloads\n- **Update Cadence**: Plan optimal update frequency and feature rollouts\n- **Feature Announcements**: Craft \"What's New\" sections that re-engage users\n- **Seasonal Optimization**: Leverage seasonal trends and events\n\n### Analytics & Tracking\n- **ASO Score**: Calculate overall ASO health score across multiple factors\n- **Keyword Rankings**: Track keyword position changes over time\n- **Conversion Metrics**: Monitor impression-to-install conversion rates\n- **Download Velocity**: Track download trends and momentum\n- **Performance Benchmarking**: Compare against category averages and competitors\n\n### Platform-Specific Requirements\n- **Apple App Store**:\n  - Title: 30 characters\n  - Subtitle: 30 characters\n  - Promotional Text: 170 characters (editable without app update)\n  - Description: 4,000 characters\n  - Keywords: 100 characters (comma-separated, no spaces)\n  - What's New: 4,000 characters\n- **Google Play Store**:\n  - Title: 50 characters (formerly 30, increased in 2021)\n  - Short Description: 80 characters\n  - Full Description: 4,000 characters\n  - No separate keyword field (keywords extracted from title and description)\n\n## Input Requirements\n\n### Keyword Research\n```json\n{\n  \"app_name\": \"MyApp\",\n  \"category\": \"Productivity\",\n  \"target_keywords\": [\"task manager\", \"productivity\", \"todo list\"],\n  \"competitors\": [\"Todoist\", \"Any.do\", \"Microsoft To Do\"],\n  \"language\": \"en-US\"\n}\n```\n\n### Metadata Optimization\n```json\n{\n  \"platform\": \"apple\" | \"google\",\n  \"app_info\": {\n    \"name\": \"MyApp\",\n    \"category\": \"Productivity\",\n    \"target_audience\": \"Professionals aged 25-45\",\n    \"key_features\": [\"Task management\", \"Team collaboration\", \"AI assistance\"],\n    \"unique_value\": \"AI-powered task prioritization\"\n  },\n  \"current_metadata\": {\n    \"title\": \"Current Title\",\n    \"subtitle\": \"Current Subtitle\",\n    \"description\": \"Current description...\"\n  },\n  \"target_keywords\": [\"productivity\", \"task manager\", \"todo\"]\n}\n```\n\n### Review Analysis\n```json\n{\n  \"app_id\": \"com.myapp.app\",\n  \"platform\": \"apple\" | \"google\",\n  \"date_range\": \"last_30_days\" | \"last_90_days\" | \"all_time\",\n  \"rating_filter\": [1, 2, 3, 4, 5],\n  \"language\": \"en\"\n}\n```\n\n### ASO Score Calculation\n```json\n{\n  \"metadata\": {\n    \"title_quality\": 0.8,\n    \"description_quality\": 0.7,\n    \"keyword_density\": 0.6\n  },\n  \"ratings\": {\n    \"average_rating\": 4.5,\n    \"total_ratings\": 15000\n  },\n  \"conversion\": {\n    \"impression_to_install\": 0.05\n  },\n  \"keyword_rankings\": {\n    \"top_10\": 5,\n    \"top_50\": 12,\n    \"top_100\": 18\n  }\n}\n```\n\n## Output Formats\n\n### Keyword Research Report\n- List of recommended keywords with search volume estimates\n- Competition level analysis (low\u002Fmedium\u002Fhigh)\n- Relevance scores for each keyword\n- Strategic recommendations for primary vs. secondary keywords\n- Long-tail keyword opportunities\n\n### Optimized Metadata Package\n- Platform-specific title (with character count validation)\n- Subtitle\u002Fpromotional text (Apple)\n- Short description (Google)\n- Full description (both platforms)\n- Keyword field (Apple - 100 chars)\n- Character count validation for all fields\n- Keyword density analysis\n- Before\u002Fafter comparison\n\n### Competitor Analysis Report\n- Top 10 competitors in category\n- Their metadata strategies\n- Keyword overlap analysis\n- Visual asset assessment\n- Rating and review volume comparison\n- Identified gaps and opportunities\n\n### ASO Health Score\n- Overall score (0-100)\n- Category breakdown:\n  - Metadata Quality (0-25)\n  - Ratings & Reviews (0-25)\n  - Keyword Performance (0-25)\n  - Conversion Metrics (0-25)\n- Specific improvement recommendations\n- Priority action items\n\n### A\u002FB Test Plan\n- Hypothesis and test variables\n- Test duration recommendations\n- Success metrics definition\n- Sample size calculations\n- Statistical significance thresholds\n\n### Launch Checklist\n- Pre-submission validation (all required assets, metadata)\n- Store compliance verification\n- Testing checklist (devices, OS versions)\n- Marketing preparation items\n- Post-launch monitoring plan\n\n## How to Use\n\n### Keyword Research\n```\nHey 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.\n```\n\n### Optimize App Store Listing\n```\nHey 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\".\n```\n\n### Analyze Competitor Strategy\n```\nHey 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.\n```\n\n### Review Sentiment Analysis\n```\nHey 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?\n```\n\n### Calculate ASO Score\n```\nHey 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?\n```\n\n### Plan A\u002FB Test\n```\nHey Claude—I just added the \"app-store-optimization\" skill. I want to A\u002FB test my app icon and first screenshot. Can you help me design the test and determine how long to run it?\n```\n\n### Pre-Launch Checklist\n```\nHey 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?\n```\n\n## Scripts\n\n### keyword_analyzer.py\nAnalyzes keywords for search volume, competition, and relevance. Provides strategic recommendations for primary and secondary keywords.\n\n**Key Functions:**\n- `analyze_keyword()`: Analyze single keyword metrics\n- `compare_keywords()`: Compare multiple keywords\n- `find_long_tail()`: Discover long-tail keyword opportunities\n- `calculate_keyword_difficulty()`: Assess competition level\n\n### metadata_optimizer.py\nOptimizes titles, descriptions, and keyword fields with platform-specific character limit validation.\n\n**Key Functions:**\n- `optimize_title()`: Create compelling, keyword-rich titles\n- `optimize_description()`: Generate conversion-focused descriptions\n- `optimize_keyword_field()`: Maximize Apple's 100-char keyword field\n- `validate_character_limits()`: Ensure compliance with platform limits\n- `calculate_keyword_density()`: Analyze keyword usage in metadata\n\n### competitor_analyzer.py\nAnalyzes top competitors' ASO strategies and identifies opportunities.\n\n**Key Functions:**\n- `get_top_competitors()`: Identify category leaders\n- `analyze_competitor_metadata()`: Extract and analyze competitor keywords\n- `compare_visual_assets()`: Evaluate icons and screenshots\n- `identify_gaps()`: Find competitive opportunities\n\n### aso_scorer.py\nCalculates comprehensive ASO health score across multiple dimensions.\n\n**Key Functions:**\n- `calculate_overall_score()`: Compute 0-100 ASO score\n- `score_metadata_quality()`: Evaluate title, description, keywords\n- `score_ratings_reviews()`: Assess rating quality and volume\n- `score_keyword_performance()`: Analyze ranking positions\n- `score_conversion_metrics()`: Evaluate impression-to-install rates\n- `generate_recommendations()`: Provide prioritized action items\n\n### ab_test_planner.py\nPlans and tracks A\u002FB tests for metadata and visual assets.\n\n**Key Functions:**\n- `design_test()`: Create test hypothesis and variables\n- `calculate_sample_size()`: Determine required test duration\n- `calculate_significance()`: Assess statistical significance\n- `track_results()`: Monitor test performance\n- `generate_report()`: Summarize test outcomes\n\n### localization_helper.py\nManages multi-language ASO optimization strategies.\n\n**Key Functions:**\n- `identify_target_markets()`: Recommend localization priorities\n- `translate_metadata()`: Generate localized metadata\n- `adapt_keywords()`: Research locale-specific keywords\n- `validate_translations()`: Check character limits per language\n- `calculate_localization_roi()`: Estimate impact of localization\n\n### review_analyzer.py\nAnalyzes user reviews for sentiment, issues, and feature requests.\n\n**Key Functions:**\n- `analyze_sentiment()`: Calculate positive\u002Fnegative\u002Fneutral ratios\n- `extract_common_themes()`: Identify frequently mentioned topics\n- `identify_issues()`: Surface bugs and user complaints\n- `find_feature_requests()`: Extract desired features\n- `track_sentiment_trends()`: Monitor sentiment over time\n- `generate_response_templates()`: Create review response drafts\n\n### launch_checklist.py\nGenerates comprehensive pre-launch and update checklists.\n\n**Key Functions:**\n- `generate_prelaunch_checklist()`: Complete submission validation\n- `validate_app_store_compliance()`: Check Apple guidelines\n- `validate_play_store_compliance()`: Check Google policies\n- `create_update_plan()`: Plan update cadence and features\n- `optimize_launch_timing()`: Recommend release dates\n- `plan_seasonal_campaigns()`: Identify seasonal opportunities\n\n## Best Practices\n\n### Keyword Research\n1. **Volume vs. Competition**: Balance high-volume keywords with achievable rankings\n2. **Relevance First**: Only target keywords genuinely relevant to your app\n3. **Long-Tail Strategy**: Include 3-4 word phrases with lower competition\n4. **Continuous Research**: Keyword trends change—research quarterly\n5. **Competitor Keywords**: Don't copy blindly; ensure relevance to your features\n\n### Metadata Optimization\n1. **Front-Load Keywords**: Place most important keywords early in title\u002Fdescription\n2. **Natural Language**: Write for humans first, SEO second\n3. **Feature Benefits**: Focus on user benefits, not just features\n4. **A\u002FB Test Everything**: Test titles, descriptions, screenshots systematically\n5. **Update Regularly**: Refresh metadata every major update\n6. **Character Limits**: Use every character—don't waste valuable space\n7. **Apple Keyword Field**: No plurals, duplicates, or spaces between commas\n\n### Visual Assets\n1. **Icon**: Must be recognizable at small sizes (60x60px)\n2. **Screenshots**: First 2-3 are critical—most users don't scroll\n3. **Captions**: Use screenshot captions to tell your value story\n4. **Consistency**: Match visual style to app design\n5. **A\u002FB Test Icons**: Icon is the single most important visual element\n\n### Reviews & Ratings\n1. **Respond Quickly**: Reply to reviews within 24-48 hours\n2. **Professional Tone**: Always courteous, even with negative reviews\n3. **Address Issues**: Show you're actively fixing reported problems\n4. **Thank Supporters**: Acknowledge positive reviews\n5. **Prompt Strategically**: Ask for ratings after positive experiences\n\n### Launch Strategy\n1. **Soft Launch**: Consider launching in smaller markets first\n2. **PR Timing**: Coordinate press coverage with launch\n3. **Update Frequently**: Initial updates signal active development\n4. **Monitor Closely**: Track metrics daily for first 2 weeks\n5. **Iterate Quickly**: Fix critical issues immediately\n\n### Localization\n1. **Prioritize Markets**: Start with English, Spanish, Chinese, French, German\n2. **Native Speakers**: Use professional translators, not machine translation\n3. **Cultural Adaptation**: Some features resonate differently by culture\n4. **Test Locally**: Have native speakers review before publishing\n5. **Measure ROI**: Track downloads by locale to assess impact\n\n## Limitations\n\n### Data Dependencies\n- Keyword search volume estimates are approximate (no official data from Apple\u002FGoogle)\n- Competitor data may be incomplete for private apps\n- Review analysis limited to public reviews (can't access private feedback)\n- Historical data may not be available for new apps\n\n### Platform Constraints\n- Apple App Store keyword changes require app submission (except Promotional Text)\n- Google Play Store metadata changes take 1-2 hours to index\n- A\u002FB testing requires significant traffic for statistical significance\n- Store algorithms are proprietary and change without notice\n\n### Industry Variability\n- ASO benchmarks vary significantly by category (games vs. utilities)\n- Seasonality affects different categories differently\n- Geographic markets have different competitive landscapes\n- Cultural preferences impact what works in different countries\n\n### Scope Boundaries\n- Does not include paid user acquisition strategies (Apple Search Ads, Google Ads)\n- Does not cover app development or UI\u002FUX optimization\n- Does not include app analytics implementation (use Firebase, Mixpanel, etc.)\n- Does not handle app submission technical issues (provisioning profiles, certificates)\n\n### When NOT to Use This Skill\n- For web apps (different SEO strategies apply)\n- For enterprise apps not in public stores\n- For apps in beta\u002FTestFlight only\n- If you need paid advertising strategies (use marketing skills instead)\n\n## Integration with Other Skills\n\nThis skill works well with:\n- **Content Strategy Skills**: For creating app descriptions and marketing copy\n- **Analytics Skills**: For analyzing download and engagement data\n- **Localization Skills**: For managing multi-language content\n- **Design Skills**: For creating optimized visual assets\n- **Marketing Skills**: For coordinating broader launch campaigns\n\n## Version & Updates\n\nThis 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.\n\n**Key Updates to Monitor:**\n- Apple App Store Connect updates (apple.com\u002Fapp-store\u002Freview\u002Fguidelines)\n- Google Play Console updates (play.google.com\u002Fconsole\u002Fabout\u002Fguides\u002Freleasewithconfidence)\n- iOS\u002FAndroid version adoption rates (affects device testing)\n- Store algorithm changes (follow ASO blogs and communities)\n\n## When to Use\nThis skill is applicable to execute the workflow or actions described in the overview.\n","# App Store Optimization (ASO) Skill\n\nThis comprehensive skill provides complete ASO capabilities for successfully launching and optimizing mobile applications on the Apple App Store and Google Play Store.\n\n## Capabilities\n\n### Research & Analysis\n- **Keyword Research**: Analyze keyword volume, competition, and relevance for app discovery\n- **Competitor Analysis**: Deep-dive into top-performing apps in your category\n- **Market Trend Analysis**: Identify emerging trends and opportunities in your app category\n- **Review Sentiment Analysis**: Extract insights from user reviews to identify strengths and issues\n- **Category Analysis**: Evaluate optimal category and subcategory placement strategies\n\n### Metadata Optimization\n- **Title Optimization**: Create compelling titles with optimal keyword placement (platform-specific character limits)\n- **Description Optimization**: Craft both short and full descriptions that convert and rank\n- **Subtitle\u002FPromotional Text**: Optimize Apple-specific subtitle (30 chars) and promotional text (170 chars)\n- **Keyword Field**: Maximize Apple's 100-character keyword field with strategic selection\n- **Category Selection**: Data-driven recommendations for primary and secondary categories\n- **Icon Best Practices**: Guidelines for designing high-converting app icons\n- **Screenshot Optimization**: Strategies for creating screenshots that drive installs\n- **Preview Video**: Best practices for app preview videos\n- **Localization**: Multi-language optimization strategies for global reach\n\n### Conversion Optimization\n- **A\u002FB Testing Framework**: Plan and track metadata experiments for continuous improvement\n- **Visual Asset Testing**: Test icons, screenshots, and videos for maximum conversion\n- **Store Listing Optimization**: Comprehensive page optimization for impression-to-install conversion\n- **Call-to-Action**: Optimize CTAs in descriptions and promotional materials\n\n### Rating & Review Management\n- **Review Monitoring**: Track and analyze user reviews for actionable insights\n- **Response Strategies**: Templates and best practices for responding to reviews\n- **Rating Improvement**: Tactical approaches to improve app ratings organically\n- **Issue Identification**: Surface common problems and feature requests from reviews\n\n### Launch & Update Strategies\n- **Pre-Launch Checklist**: Complete validation before submitting to stores\n- **Launch Timing**: Optimize release timing for maximum visibility and downloads\n- **Update Cadence**: Plan optimal update frequency and feature rollouts\n- **Feature Announcements**: Craft \"What's New\" sections that re-engage users\n- **Seasonal Optimization**: Leverage seasonal trends and events\n\n### Analytics & Tracking\n- **ASO Score**: Calculate overall ASO health score across multiple factors\n- **Keyword Rankings**: Track keyword position changes over time\n- **Conversion Metrics**: Monitor impression-to-install conversion rates\n- **Download Velocity**: Track download trends and momentum\n- **Performance Benchmarking**: Compare against category averages and competitors\n\n### Platform-Specific Requirements\n- **Apple App Store**:\n  - Title: 30 characters\n  - Subtitle: 30 characters\n  - Promotional Text: 170 characters (editable without app update)\n  - Description: 4,000 characters\n  - Keywords: 100 characters (comma-separated, no spaces)\n  - What's New: 4,000 characters\n- **Google Play Store**:\n  - Title: 50 characters (formerly 30, increased in 2021)\n  - Short Description: 80 characters\n  - Full Description: 4,000 characters\n  - No separate keyword field (keywords extracted from title and description)\n\n## Input Requirements\n\n### Keyword Research\n```json\n{\n  \"app_name\": \"MyApp\",\n  \"category\": \"Productivity\",\n  \"target_keywords\": [\"task manager\", \"productivity\", \"todo list\"],\n  \"competitors\": [\"Todoist\", \"Any.do\", \"Microsoft To Do\"],\n  \"language\": \"en-US\"\n}\n```\n\n### Metadata Optimization\n```json\n{\n  \"platform\": \"apple\" | \"google\",\n  \"app_info\": {\n    \"name\": \"MyApp\",\n    \"category\": \"Productivity\",\n    \"target_audience\": \"Professionals aged 25-45\",\n    \"key_features\": [\"Task management\", \"Team collaboration\", \"AI assistance\"],\n    \"unique_value\": \"AI-powered task prioritization\"\n  },\n  \"current_metadata\": {\n    \"title\": \"Current Title\",\n    \"subtitle\": \"Current Subtitle\",\n    \"description\": \"Current description...\"\n  },\n  \"target_keywords\": [\"productivity\", \"task manager\", \"todo\"]\n}\n```\n\n### Review Analysis\n```json\n{\n  \"app_id\": \"com.myapp.app\",\n  \"platform\": \"apple\" | \"google\",\n  \"date_range\": \"last_30_days\" | \"last_90_days\" | \"all_time\",\n  \"rating_filter\": [1, 2, 3, 4, 5],\n  \"language\": \"en\"\n}\n```\n\n### ASO Score Calculation\n```json\n{\n  \"metadata\": {\n    \"title_quality\": 0.8,\n    \"description_quality\": 0.7,\n    \"keyword_density\": 0.6\n  },\n  \"ratings\": {\n    \"average_rating\": 4.5,\n    \"total_ratings\": 15000\n  },\n  \"conversion\": {\n    \"impression_to_install\": 0.05\n  },\n  \"keyword_rankings\": {\n    \"top_10\": 5,\n    \"top_50\": 12,\n    \"top_100\": 18\n  }\n}\n```\n\n## Output Formats\n\n### Keyword Research Report\n- List of recommended keywords with search volume estimates\n- Competition level analysis (low\u002Fmedium\u002Fhigh)\n- Relevance scores for each keyword\n- Strategic recommendations for primary vs. secondary keywords\n- Long-tail keyword opportunities\n\n### Optimized Metadata Package\n- Platform-specific title (with character count validation)\n- Subtitle\u002Fpromotional text (Apple)\n- Short description (Google)\n- Full description (both platforms)\n- Keyword field (Apple - 100 chars)\n- Character count validation for all fields\n- Keyword density analysis\n- Before\u002Fafter comparison\n\n### Competitor Analysis Report\n- Top 10 competitors in category\n- Their metadata strategies\n- Keyword overlap analysis\n- Visual asset assessment\n- Rating and review volume comparison\n- Identified gaps and opportunities\n\n### ASO Health Score\n- Overall score (0-100)\n- Category breakdown:\n  - Metadata Quality (0-25)\n  - Ratings & Reviews (0-25)\n  - Keyword Performance (0-25)\n  - Conversion Metrics (0-25)\n- Specific improvement recommendations\n- Priority action items\n\n### A\u002FB Test Plan\n- Hypothesis and test variables\n- Test duration recommendations\n- Success metrics definition\n- Sample size calculations\n- Statistical significance thresholds\n\n### Launch Checklist\n- Pre-submission validation (all required assets, metadata)\n- Store compliance verification\n- Testing checklist (devices, OS versions)\n- Marketing preparation items\n- Post-launch monitoring plan\n\n## How to Use\n\n### Keyword Research\n```\nHey 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.\n```\n\n### Optimize App Store Listing\n```\nHey 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\".\n```\n\n### Analyze Competitor Strategy\n```\nHey 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.\n```\n\n### Review Sentiment Analysis\n```\nHey 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?\n```\n\n### Calculate ASO Score\n```\nHey 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?\n```\n\n### Plan A\u002FB Test\n```\nHey Claude—I just added the \"app-store-optimization\" skill. I want to A\u002FB test my app icon and first screenshot. Can you help me design the test and determine how long to run it?\n```\n\n### Pre-Launch Checklist\n```\nHey 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?\n```\n\n## Scripts\n\n### keyword_analyzer.py\nAnalyzes keywords for search volume, competition, and relevance. Provides strategic recommendations for primary and secondary keywords.\n\n**Key Functions:**\n- `analyze_keyword()`: Analyze single keyword metrics\n- `compare_keywords()`: Compare multiple keywords\n- `find_long_tail()`: Discover long-tail keyword opportunities\n- `calculate_keyword_difficulty()`: Assess competition level\n\n### metadata_optimizer.py\nOptimizes titles, descriptions, and keyword fields with platform-specific character limit validation.\n\n**Key Functions:**\n- `optimize_title()`: Create compelling, keyword-rich titles\n- `optimize_description()`: Generate conversion-focused descriptions\n- `optimize_keyword_field()`: Maximize Apple's 100-char keyword field\n- `validate_character_limits()`: Ensure compliance with platform limits\n- `calculate_keyword_density()`: Analyze keyword usage in metadata\n\n### competitor_analyzer.py\nAnalyzes top competitors' ASO strategies and identifies opportunities.\n\n**Key Functions:**\n- `get_top_competitors()`: Identify category leaders\n- `analyze_competitor_metadata()`: Extract and analyze competitor keywords\n- `compare_visual_assets()`: Evaluate icons and screenshots\n- `identify_gaps()`: Find competitive opportunities\n\n### aso_scorer.py\nCalculates comprehensive ASO health score across multiple dimensions.\n\n**Key Functions:**\n- `calculate_overall_score()`: Compute 0-100 ASO score\n- `score_metadata_quality()`: Evaluate title, description, keywords\n- `score_ratings_reviews()`: Assess rating quality and volume\n- `score_keyword_performance()`: Analyze ranking positions\n- `score_conversion_metrics()`: Evaluate impression-to-install rates\n- `generate_recommendations()`: Provide prioritized action items\n\n### ab_test_planner.py\nPlans and tracks A\u002FB tests for metadata and visual assets.\n\n**Key Functions:**\n- `design_test()`: Create test hypothesis and variables\n- `calculate_sample_size()`: Determine required test duration\n- `calculate_significance()`: Assess statistical significance\n- `track_results()`: Monitor test performance\n- `generate_report()`: Summarize test outcomes\n\n### localization_helper.py\nManages multi-language ASO optimization strategies.\n\n**Key Functions:**\n- `identify_target_markets()`: Recommend localization priorities\n- `translate_metadata()`: Generate localized metadata\n- `adapt_keywords()`: Research locale-specific keywords\n- `validate_translations()`: Check character limits per language\n- `calculate_localization_roi()`: Estimate impact of localization\n\n### review_analyzer.py\nAnalyzes user reviews for sentiment, issues, and feature requests.\n\n**Key Functions:**\n- `analyze_sentiment()`: Calculate positive\u002Fnegative\u002Fneutral ratios\n- `extract_common_themes()`: Identify frequently mentioned topics\n- `identify_issues()`: Surface bugs and user complaints\n- `find_feature_requests()`: Extract desired features\n- `track_sentiment_trends()`: Monitor sentiment over time\n- `generate_response_templates()`: Create review response drafts\n\n### launch_checklist.py\nGenerates comprehensive pre-launch and update checklists.\n\n**Key Functions:**\n- `generate_prelaunch_checklist()`: Complete submission validation\n- `validate_app_store_compliance()`: Check Apple guidelines\n- `validate_play_store_compliance()`: Check Google policies\n- `create_update_plan()`: Plan update cadence and features\n- `optimize_launch_timing()`: Recommend release dates\n- `plan_seasonal_campaigns()`: Identify seasonal opportunities\n\n## Best Practices\n\n### Keyword Research\n1. **Volume vs. Competition**: Balance high-volume keywords with achievable rankings\n2. **Relevance First**: Only target keywords genuinely relevant to your app\n3. **Long-Tail Strategy**: Include 3-4 word phrases with lower competition\n4. **Continuous Research**: Keyword trends change—research quarterly\n5. **Competitor Keywords**: Don't copy blindly; ensure relevance to your features\n\n### Metadata Optimization\n1. **Front-Load Keywords**: Place most important keywords early in title\u002Fdescription\n2. **Natural Language**: Write for humans first, SEO second\n3. **Feature Benefits**: Focus on user benefits, not just features\n4. **A\u002FB Test Everything**: Test titles, descriptions, screenshots systematically\n5. **Update Regularly**: Refresh metadata every major update\n6. **Character Limits**: Use every character—don't waste valuable space\n7. **Apple Keyword Field**: No plurals, duplicates, or spaces between commas\n\n### Visual Assets\n1. **Icon**: Must be recognizable at small sizes (60x60px)\n2. **Screenshots**: First 2-3 are critical—most users don't scroll\n3. **Captions**: Use screenshot captions to tell your value story\n4. **Consistency**: Match visual style to app design\n5. **A\u002FB Test Icons**: Icon is the single most important visual element\n\n### Reviews & Ratings\n1. **Respond Quickly**: Reply to reviews within 24-48 hours\n2. **Professional Tone**: Always courteous, even with negative reviews\n3. **Address Issues**: Show you're actively fixing reported problems\n4. **Thank Supporters**: Acknowledge positive reviews\n5. **Prompt Strategically**: Ask for ratings after positive experiences\n\n### Launch Strategy\n1. **Soft Launch**: Consider launching in smaller markets first\n2. **PR Timing**: Coordinate press coverage with launch\n3. **Update Frequently**: Initial updates signal active development\n4. **Monitor Closely**: Track metrics daily for first 2 weeks\n5. **Iterate Quickly**: Fix critical issues immediately\n\n### Localization\n1. **Prioritize Markets**: Start with English, Spanish, Chinese, French, German\n2. **Native Speakers**: Use professional translators, not machine translation\n3. **Cultural Adaptation**: Some features resonate differently by culture\n4. **Test Locally**: Have native speakers review before publishing\n5. **Measure ROI**: Track downloads by locale to assess impact\n\n## Limitations\n\n### Data Dependencies\n- Keyword search volume estimates are approximate (no official data from Apple\u002FGoogle)\n- Competitor data may be incomplete for private apps\n- Review analysis limited to public reviews (can't access private feedback)\n- Historical data may not be available for new apps\n\n### Platform Constraints\n- Apple App Store keyword changes require app submission (except Promotional Text)\n- Google Play Store metadata changes take 1-2 hours to index\n- A\u002FB testing requires significant traffic for statistical significance\n- Store algorithms are proprietary and change without notice\n\n### Industry Variability\n- ASO benchmarks vary significantly by category (games vs. utilities)\n- Seasonality affects different categories differently\n- Geographic markets have different competitive landscapes\n- Cultural preferences impact what works in different countries\n\n### Scope Boundaries\n- Does not include paid user acquisition strategies (Apple Search Ads, Google Ads)\n- Does not cover app development or UI\u002FUX optimization\n- Does not include app analytics implementation (use Firebase, Mixpanel, etc.)\n- Does not handle app submission technical issues (provisioning profiles, certificates)\n\n### When NOT to Use This Skill\n- For web apps (different SEO strategies apply)\n- For enterprise apps not in public stores\n- For apps in beta\u002FTestFlight only\n- If you need paid advertising strategies (use marketing skills instead)\n\n## Integration with Other Skills\n\nThis skill works well with:\n- **Content Strategy Skills**: For creating app descriptions and marketing copy\n- **Analytics Skills**: For analyzing download and engagement data\n- **Localization Skills**: For managing multi-language content\n- **Design Skills**: For creating optimized visual assets\n- **Marketing Skills**: For coordinating broader launch campaigns\n\n## Version & Updates\n\nThis 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.\n\n**Key Updates to Monitor:**\n- Apple App Store Connect updates (apple.com\u002Fapp-store\u002Freview\u002Fguidelines)\n- Google Play Console updates (play.google.com\u002Fconsole\u002Fabout\u002Fguides\u002Freleasewithconfidence)\n- iOS\u002FAndroid version adoption rates (affects device testing)\n- Store algorithm changes (follow ASO blogs and communities)\n\n## When to Use\nThis skill is applicable to execute the workflow or actions described in the overview.\n",{"name":5,"risk":26,"source":24,"date_added":44,"description":7},"2026-02-27","main","7a38d8e7073e61c16eda85681cb32fb68a8657a5","skills-store\u002Fcursor\u002Fapp-store-optimization","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router","https:\u002F\u002Fgithub.com\u002Fsapsapshen","2026-04-14 21:12:12",{"source":8,"skillName":5,"commands":52,"prompt":62,"zipAvailable":63},[53,56,59],{"tool":54,"command":55},"npx","npx skills add sapsapshen\u002Fai-memory-router --skill app-store-optimization",{"tool":57,"command":58},"bunx","bunx skills add sapsapshen\u002Fai-memory-router --skill app-store-optimization",{"tool":60,"command":61},"pnpm","pnpm dlx skills add sapsapshen\u002Fai-memory-router --skill app-store-optimization","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fcursor\u002Fapp-store-optimization\u002FSKILL.md",true,[65,71,75,79,85,89,93,97,101,105,109,113],{"path":66,"resourceType":67,"resourceTypeDesc":68,"sizeBytes":69,"sourceHtmlUrl":70},"ab_test_planner.py","SCRIPT","脚本",22857,"https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fcursor\u002Fapp-store-optimization\u002Fab_test_planner.py",{"path":72,"resourceType":67,"resourceTypeDesc":68,"sizeBytes":73,"sourceHtmlUrl":74},"aso_scorer.py",18966,"https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fcursor\u002Fapp-store-optimization\u002Faso_scorer.py",{"path":76,"resourceType":67,"resourceTypeDesc":68,"sizeBytes":77,"sourceHtmlUrl":78},"competitor_analyzer.py",21346,"https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fcursor\u002Fapp-store-optimization\u002Fcompetitor_analyzer.py",{"path":80,"resourceType":81,"resourceTypeDesc":82,"sizeBytes":83,"sourceHtmlUrl":84},"expected_output.json","REFERENCE","参考文档",5492,"https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fcursor\u002Fapp-store-optimization\u002Fexpected_output.json",{"path":86,"resourceType":81,"resourceTypeDesc":82,"sizeBytes":87,"sourceHtmlUrl":88},"HOW_TO_USE.md",10252,"https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fcursor\u002Fapp-store-optimization\u002FHOW_TO_USE.md",{"path":90,"resourceType":67,"resourceTypeDesc":68,"sizeBytes":91,"sourceHtmlUrl":92},"keyword_analyzer.py",13108,"https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fcursor\u002Fapp-store-optimization\u002Fkeyword_analyzer.py",{"path":94,"resourceType":67,"resourceTypeDesc":68,"sizeBytes":95,"sourceHtmlUrl":96},"launch_checklist.py",28949,"https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fcursor\u002Fapp-store-optimization\u002Flaunch_checklist.py",{"path":98,"resourceType":67,"resourceTypeDesc":68,"sizeBytes":99,"sourceHtmlUrl":100},"localization_helper.py",22142,"https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fcursor\u002Fapp-store-optimization\u002Flocalization_helper.py",{"path":102,"resourceType":67,"resourceTypeDesc":68,"sizeBytes":103,"sourceHtmlUrl":104},"metadata_optimizer.py",20824,"https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fcursor\u002Fapp-store-optimization\u002Fmetadata_optimizer.py",{"path":106,"resourceType":81,"resourceTypeDesc":82,"sizeBytes":107,"sourceHtmlUrl":108},"README.md",14917,"https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fcursor\u002Fapp-store-optimization\u002FREADME.md",{"path":110,"resourceType":67,"resourceTypeDesc":68,"sizeBytes":111,"sourceHtmlUrl":112},"review_analyzer.py",25561,"https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fcursor\u002Fapp-store-optimization\u002Freview_analyzer.py",{"path":114,"resourceType":81,"resourceTypeDesc":82,"sizeBytes":115,"sourceHtmlUrl":116},"sample_input.json",723,"https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fcursor\u002Fapp-store-optimization\u002Fsample_input.json",[118,142,167,177,190,209],{"skillNo":119,"name":120,"nameZh":6,"description":121,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":122,"categories":123,"keywords":129,"publishedAt":39},"01M71ATQRKG48SH06FQ697T5G9","wechat-search","Search WeChat Official Account articles using OpenClaw's web search and fetch capabilities with compliance-focused design.","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Fwechat-search-release\u002FSKILL.md",[124],{"categoryNo":125,"categoryName":126,"taxonomyType":127,"taxonomyTypeDesc":128},"01JBSEEDCAT000000000000037","律师与法务","PROFESSION","适用职业",[130,131,132,133,134,135,136,137,138,139,140,141],"wechat search","wechat","search","capabilities","openclaw","design","web search","compliance","web","official","fetch","with",{"skillNo":143,"name":144,"nameZh":6,"description":145,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":146,"categories":147,"keywords":148,"publishedAt":39},"01M71ATNAVGZB35PFYM2GC5N00","trend-tap","Real-time trending topics aggregator across 7 platforms (X\u002FTwitter, Reddit, Google Trends, Hacker News, Zhihu, Bilibili, Weibo). Trigger: when user says 'trend', 'trends', 'trend tap', '热点', '热搜', or asks what is trending\u002Fhot. Do NOT use web_search — this skill already fetches live data from all platforms with zero API keys.","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Ftrend-tap\u002FSKILL.md",[],[149,150,151,152,153,154,132,155,156,157,158,159,160,161,162,31,163,164,165,166],"trend","trend tap","tap","api keys","Bash","time","trending","hacker","aggregator","do","when","brew","live","data","install","read","across","api",{"skillNo":168,"name":169,"nameZh":6,"description":170,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":171,"categories":172,"keywords":173,"publishedAt":39},"01M71ATJ9AM5KM15AA8PS302EB","trend-radar","Real-time trending topics aggregator across 7 platforms (X\u002FTwitter, Reddit, Google Trends, Hacker News, Zhihu, Bilibili, Weibo). Trigger: when user says 'trend', 'trends', 'trend pulse', '热点', '热搜', or asks what is trending\u002Fhot. Do NOT use web_search — this skill already fetches live data from all platforms with zero API keys.","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Ftrend-radar\u002FSKILL.md",[],[174,175,149,160,161,162,31,153,132,164,176,165,166,159,157,156,155,163,154,152],"trend radar","radar","pulse",{"skillNo":178,"name":179,"nameZh":6,"description":180,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":181,"categories":182,"keywords":183,"publishedAt":39},"01M71ATGF095N3EJM9G8SD0BB5","tech-news-daily","每日科技新闻汇——从全球多个 RSS 源抓取最新科技新闻，翻译（英→中）、去重、排版成每日简报。当用户询问科技新闻、科技新鲜事、每日科技、技术动态、Daily Tech News 或类似表达时触发此技能。","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Ftech-news-daily\u002FSKILL.md",[],[184,185,186,187,188,189],"news","tech","tech news daily","daily","rss","翻译",{"skillNo":191,"name":192,"nameZh":6,"description":193,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":194,"categories":195,"keywords":201,"publishedAt":39},"01M71ATFAEAMQ17M70NQNY7SR8","summarize","Summarize URLs or files with the summarize CLI (web, PDFs, images, audio, YouTube).","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Fsummarize\u002FSKILL.md",[196],{"categoryNo":197,"categoryName":198,"taxonomyType":199,"taxonomyTypeDesc":200},"01JBSEEDCAT000000000000021","资料检索与研究","SCENARIO","使用场景",[192,138,202,203,204,141,160,205,206,207,151,208,163],"Audio","cli","youtube","images","https","files","pdfs",{"skillNo":210,"name":211,"nameZh":6,"description":212,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":213,"categories":214,"keywords":215,"publishedAt":39},"01M71ATDNS3R0M4H936PACQAWZ","sonoscli","Control Sonos speakers (discover\u002Fstatus\u002Fplay\u002Fvolume\u002Fgroup).","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Fsonoscli\u002FSKILL.md",[],[211,216,36,217,163,218,206,219,220,221,222,223],"status","go","latest","github","discover","control","cmd","volume"]