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Store","davila7\u002Fclaude-code-templates","davila7","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F6216945?v=4","01M6ADEWWFPS191NFM0Y1EX1JH","Daniel Avila","01M6ADJHGM78PHQRD3XZTFDVKK",33481,"MIT","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fbusiness-marketing\u002Fapp-store-optimization\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35],"app store","Optimization","app store optimization","store","app","mobile app","for","google play","complete","apple","mobile","google","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\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","# 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",{"name":5,"description":7},"main","2b749c82b5d11fac39d9a6e021ce3f5b8a541bd1","cli-tool\u002Fcomponents\u002Fskills\u002Fbusiness-marketing\u002Fapp-store-optimization",3931,"https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates","https:\u002F\u002Faitmpl.com","https:\u002F\u002Fgithub.com\u002Fdavila7","https:\u002F\u002Fdanielavila.me","Building AI dev tools with LLMs","2026-11-14 06:14:46",{"source":8,"skillName":5,"commands":52,"prompt":62,"zipAvailable":63},[53,56,59],{"tool":54,"command":55},"npx","npx skills add davila7\u002Fclaude-code-templates --skill app-store-optimization",{"tool":57,"command":58},"bunx","bunx skills add davila7\u002Fclaude-code-templates --skill app-store-optimization",{"tool":60,"command":61},"pnpm","pnpm dlx skills add davila7\u002Fclaude-code-templates --skill app-store-optimization","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fbusiness-marketing\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\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fbusiness-marketing\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\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fbusiness-marketing\u002Fapp-store-optimization\u002Faso_scorer.py",{"path":76,"resourceType":67,"resourceTypeDesc":68,"sizeBytes":77,"sourceHtmlUrl":78},"competitor_analyzer.py",21340,"https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fbusiness-marketing\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\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fbusiness-marketing\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\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fbusiness-marketing\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\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fbusiness-marketing\u002Fapp-store-optimization\u002Fkeyword_analyzer.py",{"path":94,"resourceType":67,"resourceTypeDesc":68,"sizeBytes":95,"sourceHtmlUrl":96},"launch_checklist.py",28949,"https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fbusiness-marketing\u002Fapp-store-optimization\u002Flaunch_checklist.py",{"path":98,"resourceType":67,"resourceTypeDesc":68,"sizeBytes":99,"sourceHtmlUrl":100},"localization_helper.py",22142,"https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fbusiness-marketing\u002Fapp-store-optimization\u002Flocalization_helper.py",{"path":102,"resourceType":67,"resourceTypeDesc":68,"sizeBytes":103,"sourceHtmlUrl":104},"metadata_optimizer.py",20824,"https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fbusiness-marketing\u002Fapp-store-optimization\u002Fmetadata_optimizer.py",{"path":106,"resourceType":81,"resourceTypeDesc":82,"sizeBytes":107,"sourceHtmlUrl":108},"README.md",14917,"https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fbusiness-marketing\u002Fapp-store-optimization\u002FREADME.md",{"path":110,"resourceType":67,"resourceTypeDesc":68,"sizeBytes":111,"sourceHtmlUrl":112},"review_analyzer.py",25561,"https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fbusiness-marketing\u002Fapp-store-optimization\u002Freview_analyzer.py",{"path":114,"resourceType":81,"resourceTypeDesc":82,"sizeBytes":115,"sourceHtmlUrl":116},"sample_input.json",723,"https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fbusiness-marketing\u002Fapp-store-optimization\u002Fsample_input.json",[118,149,176,209,244,267],{"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":36},"01M70NHBTQ8BV0A2SCAZXEPHCX","wealthville-pool-scoring","Score DeFi liquidity pools before providing liquidity. Returns a 0-100 pool score and an Enter\u002FHold\u002FExit\u002FReduce\u002FAvoid verdict with calibrated confidence for ~68,800 Solana pools and 575 EVM pools, plus a public miss-inclusive track record. Use when asked whether a pool is worth LPing into, which pools look best right now, or how accurate the scores have actually been.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fweb-data\u002Fwealthville-pool-scoring\u002FSKILL.md",[124],{"categoryNo":125,"categoryName":126,"taxonomyType":127,"taxonomyTypeDesc":128},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[130,131,132,133,134,25,135,136,137,138,139,140,141,142,143,144,145,146,147,148],"scoring","pool","wealthville pool scoring","liquidity","which","exit","now","use","when","reduce","with","record","track","verdict","evm","solana","how","public","look",{"skillNo":150,"name":151,"nameZh":6,"description":152,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":153,"categories":154,"keywords":156,"publishedAt":36},"01M70MB6VR8ERJ4EM8D5KHBMEV","technical-debt-auditor","Scans a codebase and produces a quantified technical debt report with a prioritized remediation plan. Analyzes dead code, TODO\u002FFIXME\u002FHACK markers, dependency staleness, complexity hotspots, code duplication signals, test coverage gaps, unused exports, and outdated patterns. Use this skill when the user asks to audit their codebase for tech debt, wants a health check of their code quality, says things like \"where should I focus refactoring\", \"find code smells\", \"audit my codebase\", \"what technical debt do we have\", \"prioritize cleanup work\", or asks about code quality metrics. Also trigger when the user mentions \"code rot\", \"legacy cleanup\", \"refactoring priorities\", or wants to understand the overall health of a project before a major effort. Trigger even if the user doesn't say \"technical debt\" explicitly — any request to systematically assess code quality and identify improvement priorities belongs here.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fdevelopment\u002Ftechnical-debt-auditor\u002FSKILL.md",[155],{"categoryNo":125,"categoryName":126,"taxonomyType":127,"taxonomyTypeDesc":128},[157,158,159,160,161,162,163,164,165,166,167,138,168,169,170,171,172,173,174,175],"technical debt","debt","technical","technical debt auditor","auditor","coverage","complexity","markers","project","cleanup","unused","code","todo","work","plan","focus","signals","audit","dependency",{"skillNo":177,"name":178,"nameZh":6,"description":179,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":180,"categories":181,"keywords":191,"publishedAt":36},"01M70KPYH9QNHCNME5GJQGE22K","readonly-sql-guard","Make an agent's database access provably read-only. Use when an agent runs caller-supplied SQL against a production\u002FERP\u002Fanalytics database (a \"query\" MCP tool, text-to-SQL, an admin console), or when reviewing DB-access code for write\u002FDDL\u002Fside-effect\u002Ftransaction-escape risks. Checks what a statement CALLS, not just its shape.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fdatabase\u002Freadonly-sql-guard\u002FSKILL.md",[182,185,186],{"categoryNo":183,"categoryName":184,"taxonomyType":127,"taxonomyTypeDesc":128},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":125,"categoryName":126,"taxonomyType":127,"taxonomyTypeDesc":128},{"categoryNo":187,"categoryName":188,"taxonomyType":189,"taxonomyTypeDesc":190},"01JBSEEDCAT000000000000033","数据分析师","PROFESSION","适用职业",[192,193,194,195,196,197,198,25,199,200,201,202,203,204,205,137,206,207,138,208],"readonly","guard","sql guard","sql","readonly sql guard","erp","effect","read-only","db","just","tool","calls","only","MCP","access","database","query",{"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":213,"licenseFileUrl":214,"sourceHtmlUrl":215,"categories":216,"keywords":220,"publishedAt":36},"01M6AFY6F7CC2BBZP1QD6VTNVC","web-artifacts-builder","Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn\u002Fui). Use for complex artifacts requiring state management, routing, or shadcn\u002Fui components - not for simple single-file HTML\u002FJSX artifacts.","Apache-2.0","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Futilities\u002Fweb-artifacts-builder\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Futilities\u002Fweb-artifacts-builder\u002FSKILL.md",[217],{"categoryNo":218,"categoryName":219,"taxonomyType":127,"taxonomyTypeDesc":128},"01JBSEEDCAT000000000000009","前端开发",[221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239,240,241,242,25,243],"artifacts builder","web","web artifacts builder","artifacts","builder","state","routing","state management","component","css","frontend","ui","Tools","file","components","shadcn","react","Tailwind","suite","jsx","html","single-file","ui components",{"skillNo":245,"name":246,"nameZh":6,"description":247,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":213,"licenseFileUrl":248,"sourceHtmlUrl":249,"categories":250,"keywords":255,"publishedAt":36},"01M6AFWF33SFV9Z3SF4PEEE4BF","webapp-testing","Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fsecurity\u002Fwebapp-testing\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fsecurity\u002Fwebapp-testing\u002FSKILL.md",[251,254],{"categoryNo":252,"categoryName":253,"taxonomyType":127,"taxonomyTypeDesc":128},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":218,"categoryName":219,"taxonomyType":127,"taxonomyTypeDesc":128},[256,257,258,259,260,222,261,231,232,262,34,263,264,25,265,140,266],"webapp testing","testing","webapp","browser","playwright","applications","debugging","logs","screenshots","local","behavior",{"skillNo":268,"name":269,"nameZh":6,"description":270,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":213,"licenseFileUrl":271,"sourceHtmlUrl":272,"categories":273,"keywords":281,"publishedAt":36},"01M6AF67Q67JJJ5V51JR2P52KA","discernment-nudge","After you give a substantive answer or draft that the user may act on — advice or recommendations, drafted artifacts such as goals, plans, pitches, proposals, or emails, estimates or projections, analysis or interpretation of data, factual claims they may rely on, or a multi-step argument — invoke this skill BEFORE finalizing your reply and then, if it applies, append 2-3 short follow-up questions, each tied to something specific in what you just produced, that help the user check key facts, probe the reasoning or assumptions, and notice missing context. Do this at most once per conversation. Skip it when the user asked a trivial how-to or simple lookup, wants a purely educational explanation, asked you only to format, convert, or assemble a file from content they provided, is writing code they will run, is doing creative writing or casual chat, or already asked you to double-check, cite, or review — the skill file explains these boundaries and the exact output format.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fdiscernment-nudge\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fdiscernment-nudge\u002FSKILL.md",[274,277,278],{"categoryNo":275,"categoryName":276,"taxonomyType":127,"taxonomyTypeDesc":128},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":125,"categoryName":126,"taxonomyType":127,"taxonomyTypeDesc":128},{"categoryNo":279,"categoryName":280,"taxonomyType":189,"taxonomyTypeDesc":190},"01JBSEEDCAT000000000000036","内容创作者",[282,283,284,285,286,287,288,289,224,290,234,168,291,292,293,294,295,204,296,138,297,298,299,300,301,146,302],"discernment nudge","nudge","interpretation","help","run","reasoning","data","writing","lookup","content","review","conversation","short","up","invoke","you","analysis","claims","argument","assemble","recommendations"]