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Android Aso

CommunityPopular
Eronred
android-aso

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.

Overview

PublisherEronred
Repositoryaso-skills
Skill nameandroid-aso
Stars
1.9K
Forks
116
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Eronred on GitHub. Read the source before you install it.

Installation

Install the Android Aso AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Eronred/aso-skills.git /tmp/aso-skills
mkdir -p .claude/skills
cp -r /tmp/aso-skills/skills/android-aso .claude/skills/android-aso
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Android Aso in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Android Aso on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Android Aso is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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 charsHighest
Short description80 charsHigh
Full description4000 charsMedium
Developer nameLow

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:

bash
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

Frequently asked questions

What does the Android Aso AI skill do?

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.

Why use Android Aso on TypingMind?

Because you install it once and use it with any model. Android Aso is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Android Aso in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Eronred/aso-skills/tree/main/skills/android-aso. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Android Aso?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Android Aso?

As many as you like. As long as a model supports skills, you can use Android Aso with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Android Aso AI skill free?

Yes. It is published on GitHub by Eronred under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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