App Store Optimization Basics — Keywords, Screenshots & Ratings
Beginner-friendly App Store Optimization guide covering keyword research, screenshot design, rating management, and A/B testing for iOS and Android.
How to use it
Claude Code
- Run the line below. It pulls the whole folder into
~/.claude/skills/aso-playbook. - Describe your job in plain words. Claude Code follows the skill from there.
Claude Code — installs the whole folder, not just SKILL.md
npx degit Gingiris-1031/gingiris-skills/skills/aso-playbook#main ~/.claude/skills/aso-playbookFor one project only, change the path to .claude/skills/aso-playbook.
Claude (web or desktop app)
- On this page open ⋯ → Download .md.
- Save it as SKILL.md in a folder, zip the folder, then Customize → Skills → + → Create skill → Upload a skill.
- Pick the file and Save. Claude shows the name and description and runs a security scan.
- Check the skill is switched on.
- Start a new chat and describe your job in plain words. The AI follows the skill from there.
ChatGPT or another app
- ChatGPT: make a Project and paste it into Instructions.
- Neither? Paste it at the top of a new chat — it works for that chat.
Not working?
- Check which app you pasted it into — the steps above name the right one.
- Some skills need the paid tier of Claude or ChatGPT.
Paste into Claude, ChatGPT or Cursor.
Source of App Store Optimization Basics — Keywords, Screenshots & Ratings
Show the full text77 lines
| name | description | source | tags |
|---|---|---|---|
| aso-playbook | | Beginner-friendly App Store Optimization guide covering keyword research, screenshot design, rating management, and A/B testing for iOS and Android. By @WeiYipei — practical ASO for indie developers and small teams. | https://github.com/Gingiris-1031/gingiris-skills/tree/main/skills/aso-playbook | - aso - app-store-optimization - mobile-growth - keyword-research - app-marketing - app-store - ios - android - app-ranking - organic-growth - claude-code - ai-agent-skill - indie-developer - conversion-optimization - latest |
📦 Install
clawhub install aso-playbook
What you get after installing:
- Keyword research methodology for finding low-competition, high-intent terms
- Screenshot hypothesis and message-hierarchy framework
- A/B testing and evidence-capture framework for iOS and Android
App Store Optimization Basics — Keywords, Screenshots & Ratings
The fundamentals of ASO for developers who'd rather build than market — but need downloads.
- Keyword research: Finding low-competition, high-intent keywords for your category
- Screenshot optimization: Turn user intent into testable screenshot hypotheses
- Rating strategy: How to ask for reviews without annoying users
- Localization basics: Which markets to target first and how to test
- A/B testing: What to test, how long to run, and interpreting results
Minimum viable ASO workflow
- Export the last 28 days by country and traffic source: impressions, product-page views, first-time downloads, conversion rate, proceeds, D1/D7/D30 retention.
- Build a keyword sheet with relevance, current rank, search popularity, competition, destination locale and target page.
- Change one variable family at a time: metadata, icon, first three screenshots, preview video, rating prompt or localization.
- Record the exact before/after version, release date, storefront and external UA activity.
- Keep a test only when conversion improves without a material decline in retained users, rating quality or revenue.
Evidence gate
Do not claim an ASO win from downloads alone. A valid case needs, at minimum:
- keyword rank or search-impression change;
- impression → product-page-view rate;
- product-page-view → first-time-download rate;
- D7 or D30 retained-user outcome;
- dates, storefronts, app version and paid-campaign overlap.
No controlled Gingiris App Store before/after dataset is bundled with this skill yet. The workflow is executable; any uplift claim must come from the user's own App Store Connect or Play Console export.
Compliance gate
Never recommend bought ratings/reviews, artificial searches or installs, device/account farms, chart manipulation, or packages intended to evade enforcement. Use official storefront experiments, authentic-user review prompts and transparent paid acquisition. Historical notes that mention black-hat tactics are research records, not execution guidance.
Related Gingiris Skills
- Full version: https://clawhub.ai/gingiris-1031/skills/gingiris-aso-growth
- All skills: https://clawhub.ai/gingiris-1031
- Follow: @WeiYipei on X
| 1 | |
| 2 | name aso-playbook |
| 3 | description | |
| 4 | Beginner-friendly App Store Optimization guide covering keyword research, screenshot design, rating management, and A/B testing for iOS and Android. By @WeiYipei — practical ASO for indie developers and small teams. |
| 5 | source https://github.com/Gingiris-1031/gingiris-skills/tree/main/skills/aso-playbook |
| 6 | tags |
| 7 | - aso |
| 8 | - app-store-optimization |
| 9 | - mobile-growth |
| 10 | - keyword-research |
| 11 | - app-marketing |
| 12 | - app-store |
| 13 | - ios |
| 14 | - android |
| 15 | - app-ranking |
| 16 | - organic-growth |
| 17 | - claude-code |
| 18 | - ai-agent-skill |
| 19 | - indie-developer |
| 20 | - conversion-optimization |
| 21 | - latest |
| 22 | |
| 23 | |
| 24 | ## 📦 Install |
| 25 | |
| 26 | |
| 27 | clawhub install aso-playbook |
| 28 | |
| 29 | |
| 30 | **What you get after installing:** |
| 31 | Keyword research methodology for finding low-competition, high-intent terms |
| 32 | Screenshot hypothesis and message-hierarchy framework |
| 33 | A/B testing and evidence-capture framework for iOS and Android |
| 34 | |
| 35 | |
| 36 | |
| 37 | # App Store Optimization Basics — Keywords, Screenshots & Ratings |
| 38 | |
| 39 | > 🌍 **Language / 语言**: [中文] | [English] | [日本語] | [한국어] |
| 40 | |
| 41 | The fundamentals of ASO for developers who'd rather build than market — but need downloads. |
| 42 | |
| 43 | **Keyword research**: Finding low-competition, high-intent keywords for your category |
| 44 | **Screenshot optimization**: Turn user intent into testable screenshot hypotheses |
| 45 | **Rating strategy**: How to ask for reviews without annoying users |
| 46 | **Localization basics**: Which markets to target first and how to test |
| 47 | **A/B testing**: What to test, how long to run, and interpreting results |
| 48 | |
| 49 | ## Minimum viable ASO workflow |
| 50 | |
| 51 | Export the last 28 days by country and traffic source: impressions, product-page views, first-time downloads, conversion rate, proceeds, D1/D7/D30 retention. |
| 52 | Build a keyword sheet with relevance, current rank, search popularity, competition, destination locale and target page. |
| 53 | Change one variable family at a time: metadata, icon, first three screenshots, preview video, rating prompt or localization. |
| 54 | Record the exact before/after version, release date, storefront and external UA activity. |
| 55 | Keep a test only when conversion improves without a material decline in retained users, rating quality or revenue. |
| 56 | |
| 57 | ### Evidence gate |
| 58 | |
| 59 | Do not claim an ASO win from downloads alone. A valid case needs, at minimum: |
| 60 | |
| 61 | keyword rank or search-impression change; |
| 62 | impression → product-page-view rate; |
| 63 | product-page-view → first-time-download rate; |
| 64 | D7 or D30 retained-user outcome; |
| 65 | dates, storefronts, app version and paid-campaign overlap. |
| 66 | |
| 67 | No controlled Gingiris App Store before/after dataset is bundled with this skill yet. The workflow is executable; any uplift claim must come from the user's own App Store Connect or Play Console export. |
| 68 | |
| 69 | ### Compliance gate |
| 70 | |
| 71 | Never recommend bought ratings/reviews, artificial searches or installs, device/account farms, chart manipulation, or packages intended to evade enforcement. Use official storefront experiments, authentic-user review prompts and transparent paid acquisition. Historical notes that mention black-hat tactics are research records, not execution guidance. |
| 72 | |
| 73 | ## Related Gingiris Skills |
| 74 | Full version: https://clawhub.ai/gingiris-1031/skills/gingiris-aso-growth |
| 75 | All skills: https://clawhub.ai/gingiris-1031 |
| 76 | Follow: [@WeiYipei on X] |
| 77 |
Discussion
Master App Store Localization & ASO Prompt (2025) – Full Metadata GeneratorThis prompt turns the AI into a senior global ASO strategist and generates complete App Store metadata for dozens of locales in one run, fully aligned with Apple App Store guidelines.App Store Optimizer Agent PersonalityExpert app store marketing specialist focused on App Store Optimization (ASO), conversion rate optimization, and app discoverabilityASO AuditWhen the user wants to audit or optimize an App Store or Google Play listing. Also use when the user mentions 'ASO audit,' 'app store optimization,' 'optimize my app listing,' 'improve app visibility,' 'app store ranking,' 'audit my listing,' 'why aren't peoplApp Store Optimization (ASO)App Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store. Use when the user asks about ASO, app store rankings, app metadata, app titles and descriptions, app store listings, app visibility, or mobile app marketing on iOS or Android. Supports keyword research and scoring, competitor keyword analysis, metadata optimization, A/B test planning, launch checklists, and tracking ranking changes.
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