Set up, audit, and debug analytics tracking implementation — GA4, Google Tag Manager, event taxonomy, conversion tracking, and data quality. Use when building a tracking plan from scratch, auditing existing analytics for gaps or errors, debugging missing events, or setting up GTM. Trigger keywords: GA4 setup, Google Tag Manager, GTM, event tracking, analytics implementation, conversion tracking, tracking plan, event taxonomy, custom dimensions, UTM tracking, analytics audit, missing events, tracking broken. NOT for analyzing marketing campaign data — use campaign-analytics for that. NOT for BI dashboards — use product-analytics for in-product event analysis.
app-store-optimization
app-store-optimization is an open-source data skill for Claude Code and compatible agents, published by alirezarezvani. Its author describes it as: “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 a…”. The project has 25k stars on GitHub and is available under the MIT license. Add it to your setup with `/plugin marketplace add alirezarezvani/claude-skills`.
What app-store-optimization does
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Installation
Add app-store-optimization to your agent with:
/plugin marketplace add alirezarezvani/claude-skills Always review a skill's source before installing it. This command comes from the skill's public repository; the linked repo is the source of truth for exact setup steps.
What's inside
The SKILL.md for app-store-optimization is organised into these sections:
- Keyword Research Workflow
- Workflow: Conduct Keyword Research
- Keyword Evaluation Criteria
- Keyword Placement Priority
- Metadata Optimization Workflow
- Workflow: Optimize App Metadata
- Platform Character Limits
- Description Structure
- Competitor Analysis Workflow
- Workflow: Analyze Competitor ASO Strategy
- Competitor Analysis Matrix
- Gap Analysis Template
When to use it
Reach for app-store-optimization when you want data help from your agent without writing the same instructions every session. Load the skill and the agent picks it up automatically for relevant tasks.
Strengths
- Clear MIT license — safe to read and adapt
- Ships in alirezarezvani/claude-skills, an established project with 24,617 GitHub stars
- Actively maintained (recent commits)
Topics
Frequently asked questions
- What does app-store-optimization do?
- 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.
- How do I install app-store-optimization?
- Run /plugin marketplace add alirezarezvani/claude-skills in your agent, then reload your skills. Review the source at https://github.com/alirezarezvani/claude-skills before installing.
- Is app-store-optimization free to use?
- Yes. app-store-optimization is free and open source under the MIT license, so you can read, run, and adapt it within that license's terms.
- Where does app-store-optimization come from?
- app-store-optimization ships inside alirezarezvani/claude-skills, a repository that contains 41 catalogued skills in total. The repository's 24,617 GitHub stars apply to that whole collection, not to this skill on its own.
Related skills
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横纵分析法(Horizontal-Vertical Analysis)深度研究Skill。由数字生命卡兹克提出,融合了索绪尔的历时-共时分析、社会科学的纵向-横截面研究设计、商学院案例研究法与竞争战略分析的核心思想。 当用户想要系统性研究一个产品、公司、概念、技术或人物时使用。核心是双轴分析:纵轴追踪从诞生到当下的完整生命历程(以叙事故事呈现),横轴在当下时间截面上与竞品/同类进行系统性横向对比,最后交叉两条轴产出独到洞察。最终产出一份排版精美的PDF研究报告。 触发词包括但不限于:横纵分析、研究一下、帮我分析、深度研究、做个研究、调研一下、竞品分析、帮我看看这个东西怎么样、这个产品/公司/概念是怎么回事、帮我摸清楚、帮我搞懂、帮我做个deep research。 即使用户只是说"帮我了解一下XX"或"XX是什么来头",只要上下文暗示需要系统性的深度研究(而非简单的概念解释),都应该触发。也适用于用户丢来一个产品名、公司名、技术名词说"帮我研究一下这个"的场景。 不要用于简单的名词解释(用户只是问"XX是什么")、不要用于公众号写作(那个用khazix-writer)、不要用于纯标题摘要生成(用wechat-title)。
macOS / Windows 只读存储分析助手(自动识别系统)。扫描整机磁盘占用,找出 占空间大户,把每一项分成 🟢可自动清理 / 🟡需人工判断 / 🔴谨慎清理 三级并给出 可执行处置方案,生成排版精美、可折叠、命令可一键复制的交互式 HTML 报告,并可 起本地服务在网页上一键删除(移废纸篓/直接删)。扫描全程只读。务必在以下场景 使用:用户说"存储分析""磁盘满了""C盘/硬盘满了""空间不够""清理空间" "清理磁盘""占空间""哪些东西占地方""帮我看看存储""看一下电脑存储/空间" "存储空间""电脑空间不够""内存满了/不够/不足""看下内存/存储"(中文口语里 "内存"常指存储空间)"storage analysis""disk cleanup""清缓存""磁盘清理"; 或用户抱怨电脑没空间、想知道什么东西吃硬盘、想要清理建议时。注意:若用户明确 指运行内存/RAM(如"哪个进程吃内存""内存占用高"想看活动监视器),那是 RAM 不是存储,不属于本 skill。