About aso-playbook
aso-playbook is an ASO guide for developers seeking to improve app-store discovery and conversion. It covers keyword research, store-page experiments, ratings, and localization, with an emphasis on evidence and policy compliance.
Key features
- 01Research low-competition, high-intent keywords
- 02Develop screenshot hypotheses and message hierarchy
- 03Plan A/B tests for iOS and Android
- 04Shape review-request strategies
- 05Choose markets and plan localization
- 06Track changes against retention and revenue
Use cases
- 01Select keywords for an app-store listing
- 02Design testable screenshot variations
- 03Compare store-page changes with baseline results
- 04Review ASO tests for evidence and compliance
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ gingiris-1031/ gingiris-skills --skill aso-playbookAfter installing, type/aso-playbookin Claude Code to confirm it loaded.
Bundled files
References and scripts installed along with SKILL.md.
_meta.json.clawhub/origin.jsonreferences/en/README.mdreferences/ja/README.mdreferences/ko/README.mdDetails
From the project README📦 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
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Join the global growth community: Add staywildgrow on WeChat and send “加入社群” (join the community).
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社群与资料包为可选入口,不影响本开源 Skill 的安装和使用。
The community and paid resource pack are optional; neither is required to install or use this open-source skill.