Complete App Store Optimization toolkit for researching, optimizing, and tracking mobile app performance across Apple App Store and Google Play Store.
Works with
Covers keyword research, competitor analysis, metadata optimization (titles, descriptions, keywords), and visual asset strategies with platform-specific character limit validation
Includes review sentiment analysis, rating improvement tactics, and A/B testing frameworks for continuous conversion optimization
Provides ASO health scoring
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionapp-store-optimizationExecute the skills CLI command in your project's root directory to begin installation:
Fetches app-store-optimization from sickn33/antigravity-awesome-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate app-store-optimization. Access via /app-store-optimization in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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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 opportunitiesMake data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
sickn33/antigravity-awesome-skills
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
We added app-store-optimization from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
app-store-optimization reduced setup friction for our internal harness; good balance of opinion and flexibility.
Solid pick for teams standardizing on skills: app-store-optimization is focused, and the summary matches what you get after install.
I recommend app-store-optimization for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
We added app-store-optimization from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Keeps context tight: app-store-optimization is the kind of skill you can hand to a new teammate without a long onboarding doc.
Solid pick for teams standardizing on skills: app-store-optimization is focused, and the summary matches what you get after install.
app-store-optimization has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in app-store-optimization — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
app-store-optimization fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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