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JordanCoin/ios-skills-collection

When the user wants to optimize their Google Play Store listing — title, short description, full description, keywords, ratings, or Play Store-specific features. Use when the user mentions "Google Play", "Android", "Play Store", "Play Console", "short description", "full description indexed", "Google Play ASO", or wants Google Play-specific keyword, creative, or ratings strategy. For iOS App Store optimization, see aso-audit and metadata-optimization.

ios-skills-collection란 무엇인가요?

ios-skills-collection is a Claude Code agent skill that when the user wants to optimize their Google Play Store listing — title, short description, full description, keywords, ratings, or Play Store-specific features. Use when the user mentions "Google Play", "Android", "Play Store", "Play Console", "short description", "full description indexed", "Google Play ASO", or wants Google Play-specific keyword, creative, or ratings strategy. For iOS App Store optimization, see aso-audit and metadata-optimization.

지원 대상~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/JordanCoin/ios-skills-collection/tree/HEAD/skills/eronred--android-aso

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Android ASO (Google Play)

You are a Google Play ASO expert. Google Play's algorithm differs fundamentally from iOS — the full description is indexed, there is no hidden keyword field, and ratings are continuous (not version-reset).

Key Differences vs iOS

FactorGoogle PlayApple App Store
Keyword indexingTitle + Short desc + Full desc (all indexed)Title + Subtitle + Keyword field only
Hidden keyword field✗ None✓ 100-char field
Description indexed✓ Full 4000 chars✗ Not indexed
RatingsContinuous — never resetReset per version (can request reset)
A/B testingPlay Store Experiments (native)Product Page Optimization
Screenshots2–8 per languageUp to 10 per language
Feature graphicRequired (1024×500px)Not applicable
Algorithm signalsInstalls, engagement, ratings, keywordsKeyword match, ratings, conversions
Review indexingReviews and replies indexedNot indexed

Character Limits

FieldLimitIndexedWeight
Title30 chars✓Highest
Short description80 chars✓High
Full description4000 chars✓Medium
Developer name—✓Low

Initial Assessment

  1. Check for app-marketing-context.md
  2. Ask: Do you have Play Console access? (for actual keyword data)
  3. Ask: What is your current title and short description?
  4. Ask: What are your 3 most important keywords?
  5. Ask: What category is your app in?

Metadata Optimization

Title (30 chars)

  • Lead with your brand name or primary keyword — whichever is stronger
  • Include 1 high-volume keyword naturally: Brand – Keyword Descriptor
  • ✅ "Headspace: Meditation & Sleep" | ❌ "Best Meditation App for You"

Short Description (80 chars)

  • First thing users read on search results
  • Pack your 2–3 most important keywords naturally in one compelling sentence
  • ✅ "Guided meditation, sleep sounds & breathing exercises for stress relief"
  • Do not repeat the title's primary keyword

Full Description (4000 chars — indexed)

Structure for algorithm + conversion:

[Hook paragraph — 2–3 sentences]
Lead with the core value proposition. Include primary keyword in first 167 chars
(shown above the fold).

[Feature bullets — 5–8 items]
• [Feature]: [Benefit]
Use keywords naturally. Vary phrasing — don't repeat exact phrases.

[Social proof]
"Trusted by X million users" / awards / press mentions

[Call to action]
Download [App Name] today — [value prop].

[Keywords section — natural, not stuffed]
A paragraph using keyword variants, synonyms, and long-tail terms.

Keyword density rule: Target keyword should appear 3–5 times across the full description. Exact match + variants. Never stuff.

Localization

Google Play indexes descriptions per language. Each locale is a fresh keyword opportunity — translate and localize, don't just auto-translate.

Keyword Research for Play Store

Use Appeeky keyword tools, then adapt for Play:

GET /v1/keywords/metrics?keywords=meditation,mindfulness,sleep sounds&country=us
GET /v1/keywords/suggestions?term=meditation&country=us

Play-specific considerations:

  • Long-tail phrases work well (full description is indexed)
  • Semantic similarity matters — Google's algorithm understands synonyms
  • User reviews and Q&A also get indexed — common words in reviews can signal keywords

Feature Graphic (1024×500px)

Required for Play Store. Appears at the top of your listing when no video is present.

  • Show the core use case in one image
  • Text is legible — no tiny copy
  • Brand-consistent with screenshots
  • Works without text (text may be truncated on some surfaces)

Ratings Strategy

Unlike iOS, Play ratings are never reset — every rating ever given counts.

To improve your rating:

  1. Respond to every 1–3 star review (boosts score algorithmically)
  2. Reply invites re-rating — users can update their review
  3. Use review-management skill for response templates
  4. Fix the issues mentioned in low ratings and reply: "Fixed in version X.X"

Rating prompt timing (see also rating-prompt-strategy skill):

  • Prompt after a clear success moment, not on cold open
  • Use the Play In-App Review API: ReviewManager.requestReviewFlow()

Play Store Experiments (A/B Testing)

Native A/B testing for:

  • Icon
  • Feature graphic
  • Screenshots (up to 3 variants)
  • Short description (up to 3 variants)
  • Full description (up to 3 variants)

Access: Play Console → Store listing experiments

Test one element at a time. Run for minimum 7 days or 1,000 impressions.

Pre-Launch (Early Access)

Use Early Access to:

  • Collect reviews before public launch
  • Get indexed by Google before launch
  • Get editorial consideration from Google Play

Output Format

Play Store Listing Draft

Title (30):     [text]
Short desc (80): [text]

Full Description:
[Hook — 2–3 sentences, primary keyword in first 167 chars]

✨ Features:
• [Feature]: [Benefit]
• [Feature]: [Benefit]
• [Feature]: [Benefit]
• [Feature]: [Benefit]
• [Feature]: [Benefit]

[Social proof paragraph]

[CTA sentence]

[Keyword-rich closing paragraph]

Keywords targeted: [list primary keywords used]

ASO Audit (Play)

Score each field 1–10:

Title:             [N]/10 — [note]
Short description: [N]/10 — [note]
Full description:  [N]/10 — [note]
Screenshots:       [N]/10 — [note]
Feature graphic:   [N]/10 — [note]
Ratings:           [N]/10 — [note]
Overall:           [N]/60

Top 3 improvements:
1. [specific change with expected impact]
2. [specific change with expected impact]
3. [specific change with expected impact]

Related Skills

  • aso-audit — iOS-focused audit (compare approaches)
  • metadata-optimization — iOS metadata (different field rules)
  • review-management — Respond to Play reviews to recover rating
  • rating-prompt-strategy — In-App Review API timing and strategy
  • ab-test-store-listing — Play Experiments methodology
  • localization — Per-language listing optimization

Individual skills in this repo

This repo contains 11 individual skills — each has its own dedicated page.

JordanCoin/ios-skills-collection

Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries. Use when the user asks about GitHub issues, pull requests, workflows, or wants to interact with GitHub repositories from the command line — including tasks like check CI status, create PR, list issues, or query the GitHub API.

JordanCoin/ios-skills-collection

Create media playback experiences using AVKit. Use when adding video players with AVPlayerViewController, enabling Picture-in-Picture, routing media with AirPlay, using SwiftUI VideoPlayer views, configuring transport controls, displaying subtitles and closed captions, or integrating AVFoundation playback with system UI.

JordanCoin/ios-skills-collection

Integrate and optimize Core ML models in iOS apps for on-device machine learning inference. Covers model loading (.mlmodelc, .mlpackage), predictions with auto-generated classes and MLFeatureProvider, compute unit configuration (CPU, GPU, Neural Engine), MLTensor, VNCoreMLRequest, MLComputePlan, multi-model pipelines, and deployment strategies. Use when loading Core ML models, making predictions, configuring compute units, or profiling model performance.

JordanCoin/ios-skills-collection

Implement, review, or improve maps and location features in iOS/macOS apps using MapKit and CoreLocation. Use when working with Map views, annotations, markers, polylines, user location tracking, geocoding, reverse geocoding, search/autocomplete, directions and routes, geofencing, region monitoring, CLLocationUpdate async streams, or location authorization flows. Also use when working with maps, coordinates, addresses, places, directions, distance calculations, or location-based features in Swift apps.

JordanCoin/ios-skills-collection

Display and manipulate PDF documents using PDFKit. Use when embedding PDFView to show PDF files, creating or modifying PDFDocument instances, adding annotations (highlights, notes, signatures), extracting text with PDFSelection, navigating pages, generating thumbnails, filling PDF forms, or wrapping PDFView in SwiftUI.

JordanCoin/ios-skills-collection

Implement, review, or improve in-app tips and onboarding using Apple's TipKit framework. Use when adding feature discovery tooltips, onboarding flows, contextual tips, first-run experiences, coach marks, or working with Tip protocol, TipView, popoverTip, tip rules, tip events, or feature education UI.

JordanCoin/ios-skills-collection

When the user wants to implement, optimize, or use App Clips for app discovery and conversion. Use when the user mentions "App Clip", "app clip code", "mini app", "instant app", "App Clip card", "App Clip link", "no download required", "instant experience", or wants to understand how App Clips appear in App Store search. For general App Store discoverability, see aso-audit. For marketing campaigns, see ua-campaign.

JordanCoin/ios-skills-collection

When the user wants to plan a launch strategy for a new app or major update. Also use when the user mentions "app launch", "launch plan", "launch checklist", "pre-launch", "launch day", or "how to launch my app". For ongoing ASO after launch, see aso-audit. For paid acquisition during launch, see ua-campaign.

JordanCoin/ios-skills-collection

When the user wants to analyze their own app's actual performance data from App Store Connect — real downloads, revenue, IAP, subscriptions, trials, or country breakdowns synced via Appeeky Connect. Use when the user asks about "my downloads", "my revenue", "how is my app performing", "ASC data", "sales and trends", "my subscription numbers", "App Store Connect metrics", or wants to compare periods or top markets. For third-party app estimates, see app-analytics. For subscription analytics depth, see monetization-strategy.

JordanCoin/ios-skills-collection

When the user wants a full ASO health audit, review their App Store listing quality, or diagnose why their app isn't ranking. Also use when the user mentions "ASO audit", "ASO score", "why am I not ranking", "listing review", or "optimize my app store page". For keyword-specific research, see keyword-research. For metadata writing, see metadata-optimization.

JordanCoin/ios-skills-collection

Always use when working on any iOS, macOS, Swift, SwiftUI, Xcode, or Apple platform project. Routes to the correct specialized skills based on development phase and task context. This collection contains 210 skills from 28 authors covering the full iOS lifecycle.

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