ClaudeExpo2026/05/19 13:15

ASO Skills: ASO in Your AI Workflow

要点だけを先に読めるように短く再構成したセクションです。

元記事

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要約

要点だけを先に読めるように短く再構成したセクションです。

claudeja

ASO Skills: ASO in Your AI Workflow の要約

Key Points

  • ポイント1: A few years ago, launching a React Native app meant weeks of setup configuring Xcode, managing signing certificates, wrestling with Android Gradle configs, and cobbling together a
  • ポイント2: Today, with Expo, a solo developer can go from idea to a production-ready native app in a single afternoon.
  • ポイント3: It's a dream.

Summary

この記事は 2026-05-19 に公開された「ASO Skills: ASO in Your AI Workflow」の内容を日本語で簡潔にまとめたものです。

Key Points

  • ポイント1: A few years ago, launching a React Native app meant weeks of setup configuring Xcode, managing signing certificates, wrestling with Android Gradle configs, and cobbling together a
  • ポイント2: Today, with Expo, a solo developer can go from idea to a production-ready native app in a single afternoon.
  • ポイント3: It's a dream.

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翻訳

原文の流れを保ったまま読める翻訳セクションです。

claudeja

ASO Skills: ASO in Your AI Workflow(原文タイトル)

概要

公開日: 2026-05-19 翻訳生成に失敗したため、原文をそのまま保存しています。

原文

A few years ago, launching a React Native app meant weeks of setup configuring Xcode, managing signing certificates, wrestling with Android Gradle configs, and cobbling together a CI/CD pipeline from scratch. Today, with Expo, a solo developer can go from idea to a production-ready native app in a single afternoon. It's a dream. And that's before we even mention LLMs. But speed creates a new problem: when shipping is fast, the bottleneck shifts. It's no longer building the app, it's getting it found. That's where App Store Optimization comes in. Why shipping fast made App Store discovery harder Here's the tension: Expo makes is easier for everyone to ship an app and now the App Store has over 2 million apps competing for attention. Paid acquisition costs have risen over 30% year-over-year, making organic discovery more important than ever. And here's the stat that changes everything: 65–70% of app downloads still come from App Store search. Not ads. Not social media. Not influencers. Search. If your app doesn't rank for the right keywords, most of your potential users will never see it regardless of how polished the product is. Great apps with poor store listings get buried. Mediocre apps with excellent ASO get downloaded. What is App Store Optimization (ASO)? Before going deeper, I want to explain what App Store Optimization (ASO) actually means. ASO is the practice of optimizing your app to rank higher in App Store or Play Store search results tp attract more users to install. Think of it as SEO, but for the App Store. The principles are similar: understand what your users are searching for, then make sure your listing reflects it clearly and accurately. There are key elements of ASO: - Title (30 chars): Your strongest ranking signal. A core keyword in the title can lift rankings by up to 10%. - Subtitle (30 chars, iOS): A secondary ranking signal. Complement your title with different keywords, both fields are indexed together. - Keyword Field (100 chars, iOS): Hidden from users, fully indexed by Apple. No spaces after commas, no duplicates from your title, no filler words. - Screenshots: No longer just a conversion tool. With Apple's semantic search, the text in your screenshots is indexed and affects your ranking directly. Users decide in ~7 seconds, so lead with your value prop, use keyword-rich captions, and show real UI. - Ratings & Reviews: A direct ranking factor. Prompt at the right moment, after a user achieves something, not on first launch. - Localization: Each locale gets its own keyword field, title, and screenshots. Most developers only do English and leave massive markets untapped. ASO is not a one-time task. Algorithms evolve, competitors iterate, new keywords emerge. The best teams treat it as an ongoing practice, not a launch checklist. It’s best to revisit your listings each month. That’s why I came up with open-source ASO agent skills with real-time data. ASO Skills: bringing App Store Optimization into your AI workflow This is the problem I wanted to solve when I built ASO Skills, an open-source collection of AI agent skills for App Store Optimization and mobile app marketing. Appeeky MCP The idea is simple: package ASO expertise directly into the tools you already use. Whether you're working in Cursor, Claude Code, Codex or any Agent Skills-compatible environment, you can ask your AI assistant to run a full ASO audit, research keywords, analyze competitors, and generate optimized metadata, and get structured, actionable results backed by real App Store data. The library ships with 20+ skills across three areas. But what makes them powerful isn't the individual skills, it's how they work together. Each skill is aware of the others, so instead of running isolated commands, you get a natural, guided workflow: ASO Flow aso-audit → flags weak spots in your listing → recommends keyword-research for gaps keyword-research → finds high-opportunity keywords for your category → feeds into metadata-optimization met