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ASO Playbook

这是面向独立开发者和小团队的iOS/Android应用商店优化（ASO）入门指南，核心功能涵盖低竞争高意向关键词研究、截图优化、合理评级策略、本地化测试及A/B测试框架。提供可执行的最小ASO工作流，需基于用户自身应用商店数据验证效果，严格遵循合规要求，禁止黑帽手段，帮助开发者在少投入营销的前提下提升下载与留存。

gingiris-1031
gingiris-1031
热度 62.33
最近更新 2026-08-14 15:45:57
分类：营销依赖：纯提示词应用场景：市场分析 / 研究 / 工作流 / 模板 ...

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add aso-playbook
Metadata
name
aso-playbook
description
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.
source
https://github.com/Gingiris-1031/gingiris-skills/tree/main/skills/aso-playbook
tags
["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

🌍 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.

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