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gingiris-1031/gingiris-skills151 installs

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.

How do I install this agent skill?

npx skills add https://github.com/gingiris-1031/gingiris-skills --skill aso-playbook
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    This skill is a collection of documentation and best practices for App Store Optimization (ASO). It contains no executable code or scripts and poses no security risk.

  • Socketpass

    No alerts

  • Snykpass

    Risk: LOW · No issues

What does this agent skill do?

📦 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

🌍 Language / 语言: 中文 | English | 日本語 | 한국어

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

  1. Export the last 28 days by country and traffic source: impressions, product-page views, first-time downloads, conversion rate, proceeds, D1/D7/D30 retention.
  2. Build a keyword sheet with relevance, current rank, search popularity, competition, destination locale and target page.
  3. Change one variable family at a time: metadata, icon, first three screenshots, preview video, rating prompt or localization.
  4. Record the exact before/after version, release date, storefront and external UA activity.
  5. 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

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/gingiris-1031/gingiris-skills/aso-playbook">View aso-playbook on skillZs</a>