القائمة
Complete App Store Optimization (ASO) toolkit for researching, optimizing, and tracking mobile app performance on Apple App Store and Google Play Store
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
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Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
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API design principles and decision-making. REST vs GraphQL vs tRPC selection, response formats, versioning, pagination.
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Scrapes content based on a preset URL list, filters high-quality technical information, and generates daily Markdown reports.
| name | app-store-optimization |
| description | Complete App Store Optimization (ASO) toolkit for researching, optimizing, and tracking mobile app performance on Apple App Store and Google Play Store |
This comprehensive skill provides complete ASO capabilities for successfully launching and optimizing mobile applications on the Apple App Store and Google Play Store.
{
"app_name": "MyApp",
"category": "Productivity",
"target_keywords": ["task manager", "productivity", "todo list"],
"competitors": ["Todoist", "Any.do", "Microsoft To Do"],
"language": "en-US"
}
{
"platform": "apple" | "google",
"app_info": {
"name": "MyApp",
"category": "Productivity",
"target_audience": "Professionals aged 25-45",
"key_features": ["Task management", "Team collaboration", "AI assistance"],
"unique_value": "AI-powered task prioritization"
},
"current_metadata": {
"title": "Current Title",
"subtitle": "Current Subtitle",
"description": "Current description..."
},
"target_keywords": ["productivity", "task manager", "todo"]
}
{
"app_id": "com.myapp.app",
"platform": "apple" | "google",
"date_range": "last_30_days" | "last_90_days" | "all_time",
"rating_filter": [1, 2, 3, 4, 5],
"language": "en"
}
{
"metadata": {
"title_quality": 0.8,
"description_quality": 0.7,
"keyword_density": 0.6
},
"ratings": {
"average_rating": 4.5,
"total_ratings": 15000
},
"conversion": {
"impression_to_install": 0.05
},
"keyword_rankings": {
"top_10": 5,
"top_50": 12,
"top_100": 18
}
}
Hey Claude—I just added the "app-store-optimization" skill. Can you research the best keywords for a productivity app targeting professionals? Focus on keywords with good search volume but lower competition.
Hey Claude—I just added the "app-store-optimization" skill. Can you optimize my app's metadata for the Apple App Store? Here's my current listing: [provide current metadata]. I want to rank for "task management" and "productivity tools".
Hey Claude—I just added the "app-store-optimization" skill. Can you analyze the ASO strategies of Todoist, Any.do, and Microsoft To Do? I want to understand what they're doing well and where there are opportunities.
Hey Claude—I just added the "app-store-optimization" skill. Can you analyze recent reviews for my app (com.myapp.ios) and identify the most common user complaints and feature requests?
Hey Claude—I just added the "app-store-optimization" skill. Can you calculate my app's overall ASO health score and provide specific recommendations for improvement?
Hey Claude—I just added the "app-store-optimization" skill. I want to A/B test my app icon and first screenshot. Can you help me design the test and determine how long to run it?
Hey Claude—I just added the "app-store-optimization" skill. Can you generate a comprehensive pre-launch checklist for submitting my app to both Apple App Store and Google Play Store?
Analyzes keywords for search volume, competition, and relevance. Provides strategic recommendations for primary and secondary keywords.
Key Functions:
analyze_keyword(): Analyze single keyword metricscompare_keywords(): Compare multiple keywordsfind_long_tail(): Discover long-tail keyword opportunitiescalculate_keyword_difficulty(): Assess competition levelOptimizes titles, descriptions, and keyword fields with platform-specific character limit validation.
Key Functions:
optimize_title(): Create compelling, keyword-rich titlesoptimize_description(): Generate conversion-focused descriptionsoptimize_keyword_field(): Maximize Apple's 100-char keyword fieldvalidate_character_limits(): Ensure compliance with platform limitscalculate_keyword_density(): Analyze keyword usage in metadataAnalyzes top competitors' ASO strategies and identifies opportunities.
Key Functions:
get_top_competitors(): Identify category leadersanalyze_competitor_metadata(): Extract and analyze competitor keywordscompare_visual_assets(): Evaluate icons and screenshotsidentify_gaps(): Find competitive opportunitiesCalculates comprehensive ASO health score across multiple dimensions.
Key Functions:
calculate_overall_score(): Compute 0-100 ASO scorescore_metadata_quality(): Evaluate title, description, keywordsscore_ratings_reviews(): Assess rating quality and volumescore_keyword_performance(): Analyze ranking positionsscore_conversion_metrics(): Evaluate impression-to-install ratesgenerate_recommendations(): Provide prioritized action itemsPlans and tracks A/B tests for metadata and visual assets.
Key Functions:
design_test(): Create test hypothesis and variablescalculate_sample_size(): Determine required test durationcalculate_significance(): Assess statistical significancetrack_results(): Monitor test performancegenerate_report(): Summarize test outcomesManages multi-language ASO optimization strategies.
Key Functions:
identify_target_markets(): Recommend localization prioritiestranslate_metadata(): Generate localized metadataadapt_keywords(): Research locale-specific keywordsvalidate_translations(): Check character limits per languagecalculate_localization_roi(): Estimate impact of localizationAnalyzes user reviews for sentiment, issues, and feature requests.
Key Functions:
analyze_sentiment(): Calculate positive/negative/neutral ratiosextract_common_themes(): Identify frequently mentioned topicsidentify_issues(): Surface bugs and user complaintsfind_feature_requests(): Extract desired featurestrack_sentiment_trends(): Monitor sentiment over timegenerate_response_templates(): Create review response draftsGenerates comprehensive pre-launch and update checklists.
Key Functions:
generate_prelaunch_checklist(): Complete submission validationvalidate_app_store_compliance(): Check Apple guidelinesvalidate_play_store_compliance(): Check Google policiescreate_update_plan(): Plan update cadence and featuresoptimize_launch_timing(): Recommend release datesplan_seasonal_campaigns(): Identify seasonal opportunitiesThis skill works well with:
This skill is based on current Apple App Store and Google Play Store requirements as of November 2025. Store policies and best practices evolve—verify current requirements before major launches.
Key Updates to Monitor: