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Agent Skill · 研究检索

app-store-optimization(应用商店优化)

app-store-optimization 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

app-store-optimization 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证为 MIT,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 48,744。

总安装 679周安装 28GitHub Stars 732下载 222核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:app-store-optimization(应用商店优化)
来源仓库:https://github.com/alirezarezvani/claude-code-skill-factory
仓库路径:skills/app-store-optimization
安装命令:
npx skills add https://github.com/alirezarezvani/claude-code-skill-factory --skill app-store-optimization
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/alirezarezvani/claude-code-skill-factory --skill app-store-optimization

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

提供跨平台(iOS/Android)的 App Store 优化全流程支持。包括关键词挖掘、竞品分析和用户评论情感解读。可输出元数据草案、截图策略和市场趋势报告。建议结合具体应用功能和目标市场定制优化方案。app-store-optimization 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/app-store-optimization

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/alirezarezvani/claude-code-skill-factory --ski…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

app-store-optimization 怎么安装?

在终端执行 npx skills add https://github.com/alirezarezvani/claude-code-skill-factory --skill app-sto…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

app-store-optimization 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

app-store-optimization 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

app-store-optimization 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

app-store-optimization 用的人多吗?

公开数据是累计安装 679 次,近一周安装 28 次,下载 222 次,GitHub 732 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

app-store-optimization 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
app-store-optimization

应用商店优化 · 本页

679732需要联网MIT有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

App Store Optimization (ASO) Skill

This comprehensive skill provides complete ASO capabilities for successfully launching and optimizing mobile applications on the Apple App Store and Google Play Store.

Capabilities

Research & Analysis

  • Keyword Research: Analyze keyword volume, competition, and relevance for app discovery
  • Competitor Analysis: Deep-dive into top-performing apps in your category
  • Market Trend Analysis: Identify emerging trends and opportunities in your app category
  • Review Sentiment Analysis: Extract insights from user reviews to identify strengths and issues
  • Category Analysis: Evaluate optimal category and subcategory placement strategies

Metadata Optimization

  • Title Optimization: Create compelling titles with optimal keyword placement (platform-specific character limits)
  • Description Optimization: Craft both short and full descriptions that convert and rank
  • Subtitle/Promotional Text: Optimize Apple-specific subtitle (30 chars) and promotional text (170 chars)
  • Keyword Field: Maximize Apple's 100-character keyword field with strategic selection
  • Category Selection: Data-driven recommendations for primary and secondary categories
  • Icon Best Practices: Guidelines for designing high-converting app icons
  • Screenshot Optimization: Strategies for creating screenshots that drive installs
  • Preview Video: Best practices for app preview videos
  • Localization: Multi-language optimization strategies for global reach

Conversion Optimization

  • A/B Testing Framework: Plan and track metadata experiments for continuous improvement
  • Visual Asset Testing: Test icons, screenshots, and videos for maximum conversion
  • Store Listing Optimization: Comprehensive page optimization for impression-to-install conversion
  • Call-to-Action: Optimize CTAs in descriptions and promotional materials

Rating & Review Management

  • Review Monitoring: Track and analyze user reviews for actionable insights
  • Response Strategies: Templates and best practices for responding to reviews
  • Rating Improvement: Tactical approaches to improve app ratings organically
  • Issue Identification: Surface common problems and feature requests from reviews

Launch & Update Strategies

  • Pre-Launch Checklist: Complete validation before submitting to stores
  • Launch Timing: Optimize release timing for maximum visibility and downloads
  • Update Cadence: Plan optimal update frequency and feature rollouts
  • Feature Announcements: Craft "What's New" sections that re-engage users
  • Seasonal Optimization: Leverage seasonal trends and events

Analytics & Tracking

  • ASO Score: Calculate overall ASO health score across multiple factors
  • Keyword Rankings: Track keyword position changes over time
  • Conversion Metrics: Monitor impression-to-install conversion rates
  • Download Velocity: Track download trends and momentum
  • Performance Benchmarking: Compare against category averages and competitors

Platform-Specific Requirements

  • Apple App Store:

- Title: 30 characters - Subtitle: 30 characters - Promotional Text: 170 characters (editable without app update) - Description: 4,000 characters - Keywords: 100 characters (comma-separated, no spaces) - What's New: 4,000 characters

  • Google Play Store:

- Title: 50 characters (formerly 30, increased in 2021) - Short Description: 80 characters - Full Description: 4,000 characters - No separate keyword field (keywords extracted from title and description)

Input Requirements

Keyword Research

{
  "app_name": "MyApp",
  "category": "Productivity",
  "target_keywords": ["task manager", "productivity", "todo list"],
  "competitors": ["Todoist", "Any.do", "Microsoft To Do"],
  "language": "en-US"
}

Metadata Optimization

{
  "platform": "apple" | "google",
  "app_info": {
    "name": "MyApp",
    "category": "Productivity",
    "target_audience": "Professionals aged 25-45",
    "key_features": ["Task management", "Team collaboration", "AI assistance"],
    "unique_value": "AI-powered task prioritization"
  },
  "current_metadata": {
    "title": "Current Title",
    "subtitle": "Current Subtitle",
    "description": "Current description..."
  },
  "target_keywords": ["productivity", "task manager", "todo"]
}

Review Analysis

{
  "app_id": "com.myapp.app",
  "platform": "apple" | "google",
  "date_range": "last_30_days" | "last_90_days" | "all_time",
  "rating_filter": [1, 2, 3, 4, 5],
  "language": "en"
}

ASO Score Calculation

{
  "metadata": {
    "title_quality": 0.8,
    "description_quality": 0.7,
    "keyword_density": 0.6
  },
  "ratings": {
    "average_rating": 4.5,
    "total_ratings": 15000
  },
  "conversion": {
    "impression_to_install": 0.05
  },
  "keyword_rankings": {
    "top_10": 5,
    "top_50": 12,
    "top_100": 18
  }
}

Output Formats

Keyword Research Report

  • List of recommended keywords with search volume estimates
  • Competition level analysis (low/medium/high)
  • Relevance scores for each keyword
  • Strategic recommendations for primary vs. secondary keywords
  • Long-tail keyword opportunities

Optimized Metadata Package

  • Platform-specific title (with character count validation)
  • Subtitle/promotional text (Apple)
  • Short description (Google)
  • Full description (both platforms)
  • Keyword field (Apple - 100 chars)
  • Character count validation for all fields
  • Keyword density analysis
  • Before/after comparison

Competitor Analysis Report

  • Top 10 competitors in category
  • Their metadata strategies
  • Keyword overlap analysis
  • Visual asset assessment
  • Rating and review volume comparison
  • Identified gaps and opportunities

ASO Health Score

  • Overall score (0-100)
  • Category breakdown:

- Metadata Quality (0-25) - Ratings & Reviews (0-25) - Keyword Performance (0-25) - Conversion Metrics (0-25)

  • Specific improvement recommendations
  • Priority action items

A/B Test Plan

  • Hypothesis and test variables
  • Test duration recommendations
  • Success metrics definition
  • Sample size calculations
  • Statistical significance thresholds

Launch Checklist

  • Pre-submission validation (all required assets, metadata)
  • Store compliance verification
  • Testing checklist (devices, OS versions)
  • Marketing preparation items
  • Post-launch monitoring plan

How to Use

Keyword Research

Hey Claude—I just added the "app-store-optimization" skill. Can you research the best keywords for a productivity app targeting professionals? Focus on keywords with good search volume but lower competition.

Optimize App Store Listing

Hey Claude—I just added the "app-store-optimization" skill. Can you optimize my app's metadata for the Apple App Store? Here's my current listing: [provide current metadata]. I want to rank for "task management" and "productivity tools".

Analyze Competitor Strategy

Hey Claude—I just added the "app-store-optimization" skill. Can you analyze the ASO strategies of Todoist, Any.do, and Microsoft To Do? I want to understand what they're doing well and where there are opportunities.

Review Sentiment Analysis

Hey Claude—I just added the "app-store-optimization" skill. Can you analyze recent reviews for my app (com.myapp.ios) and identify the most common user complaints and feature requests?

Calculate ASO Score

Hey Claude—I just added the "app-store-optimization" skill. Can you calculate my app's overall ASO health score and provide specific recommendations for improvement?

Plan A/B Test

Hey Claude—I just added the "app-store-optimization" skill. I want to A/B test my app icon and first screenshot. Can you help me design the test and determine how long to run it?

Pre-Launch Checklist

Hey Claude—I just added the "app-store-optimization" skill. Can you generate a comprehensive pre-launch checklist for submitting my app to both Apple App Store and Google Play Store?

Scripts

keyword_analyzer.py

Analyzes keywords for search volume, competition, and relevance. Provides strategic recommendations for primary and secondary keywords.

Key Functions:

  • analyze_keyword(): Analyze single keyword metrics
  • compare_keywords(): Compare multiple keywords
  • find_long_tail(): Discover long-tail keyword opportunities
  • calculate_keyword_difficulty(): Assess competition level

metadata_optimizer.py

Optimizes titles, descriptions, and keyword fields with platform-specific character limit validation.

Key Functions:

  • optimize_title(): Create compelling, keyword-rich titles
  • optimize_description(): Generate conversion-focused descriptions
  • optimize_keyword_field(): Maximize Apple's 100-char keyword field
  • validate_character_limits(): Ensure compliance with platform limits
  • calculate_keyword_density(): Analyze keyword usage in metadata

competitor_analyzer.py

Analyzes top competitors' ASO strategies and identifies opportunities.

Key Functions:

  • get_top_competitors(): Identify category leaders
  • analyze_competitor_metadata(): Extract and analyze competitor keywords
  • compare_visual_assets(): Evaluate icons and screenshots
  • identify_gaps(): Find competitive opportunities

aso_scorer.py

Calculates comprehensive ASO health score across multiple dimensions.

Key Functions:

  • calculate_overall_score(): Compute 0-100 ASO score
  • score_metadata_quality(): Evaluate title, description, keywords
  • score_ratings_reviews(): Assess rating quality and volume
  • score_keyword_performance(): Analyze ranking positions
  • score_conversion_metrics(): Evaluate impression-to-install rates
  • generate_recommendations(): Provide prioritized action items

ab_test_planner.py

Plans and tracks A/B tests for metadata and visual assets.

Key Functions:

  • design_test(): Create test hypothesis and variables
  • calculate_sample_size(): Determine required test duration
  • calculate_significance(): Assess statistical significance
  • track_results(): Monitor test performance
  • generate_report(): Summarize test outcomes

localization_helper.py

Manages multi-language ASO optimization strategies.

Key Functions:

  • identify_target_markets(): Recommend localization priorities
  • translate_metadata(): Generate localized metadata
  • adapt_keywords(): Research locale-specific keywords
  • validate_translations(): Check character limits per language
  • calculate_localization_roi(): Estimate impact of localization

review_analyzer.py

Analyzes user reviews for sentiment, issues, and feature requests.

Key Functions:

  • analyze_sentiment(): Calculate positive/negative/neutral ratios
  • extract_common_themes(): Identify frequently mentioned topics
  • identify_issues(): Surface bugs and user complaints
  • find_feature_requests(): Extract desired features
  • track_sentiment_trends(): Monitor sentiment over time
  • generate_response_templates(): Create review response drafts

launch_checklist.py

Generates comprehensive pre-launch and update checklists.

Key Functions:

  • generate_prelaunch_checklist(): Complete submission validation
  • validate_app_store_compliance(): Check Apple guidelines
  • validate_play_store_compliance(): Check Google policies
  • create_update_plan(): Plan update cadence and features
  • optimize_launch_timing(): Recommend release dates
  • plan_seasonal_campaigns(): Identify seasonal opportunities

Best Practices

Keyword Research

  1. Volume vs. Competition: Balance high-volume keywords with achievable rankings
  2. Relevance First: Only target keywords genuinely relevant to your app
  3. Long-Tail Strategy: Include 3-4 word phrases with lower competition
  4. Continuous Research: Keyword trends change—research quarterly
  5. Competitor Keywords: Don't copy blindly; ensure relevance to your features

Metadata Optimization

  1. Front-Load Keywords: Place most important keywords early in title/description
  2. Natural Language: Write for humans first, SEO second
  3. Feature Benefits: Focus on user benefits, not just features
  4. A/B Test Everything: Test titles, descriptions, screenshots systematically
  5. Update Regularly: Refresh metadata every major update
  6. Character Limits: Use every character—don't waste valuable space
  7. Apple Keyword Field: No plurals, duplicates, or spaces between commas

Visual Assets

  1. Icon: Must be recognizable at small sizes (60x60px)
  2. Screenshots: First 2-3 are critical—most users don't scroll
  3. Captions: Use screenshot captions to tell your value story
  4. Consistency: Match visual style to app design
  5. A/B Test Icons: Icon is the single most important visual element

Reviews & Ratings

  1. Respond Quickly: Reply to reviews within 24-48 hours
  2. Professional Tone: Always courteous, even with negative reviews
  3. Address Issues: Show you're actively fixing reported problems
  4. Thank Supporters: Acknowledge positive reviews
  5. Prompt Strategically: Ask for ratings after positive experiences

Launch Strategy

  1. Soft Launch: Consider launching in smaller markets first
  2. PR Timing: Coordinate press coverage with launch
  3. Update Frequently: Initial updates signal active development
  4. Monitor Closely: Track metrics daily for first 2 weeks
  5. Iterate Quickly: Fix critical issues immediately

Localization

  1. Prioritize Markets: Start with English, Spanish, Chinese, French, German
  2. Native Speakers: Use professional translators, not machine translation
  3. Cultural Adaptation: Some features resonate differently by culture
  4. Test Locally: Have native speakers review before publishing
  5. Measure ROI: Track downloads by locale to assess impact

Limitations

Data Dependencies

  • Keyword search volume estimates are approximate (no official data from Apple/Google)
  • Competitor data may be incomplete for private apps
  • Review analysis limited to public reviews (can't access private feedback)
  • Historical data may not be available for new apps

Platform Constraints

  • Apple App Store keyword changes require app submission (except Promotional Text)
  • Google Play Store metadata changes take 1-2 hours to index
  • A/B testing requires significant traffic for statistical significance
  • Store algorithms are proprietary and change without notice

Industry Variability

  • ASO benchmarks vary significantly by category (games vs. utilities)
  • Seasonality affects different categories differently
  • Geographic markets have different competitive landscapes
  • Cultural preferences impact what works in different countries

Scope Boundaries

  • Does not include paid user acquisition strategies (Apple Search Ads, Google Ads)
  • Does not cover app development or UI/UX optimization
  • Does not include app analytics implementation (use Firebase, Mixpanel, etc.)
  • Does not handle app submission technical issues (provisioning profiles, certificates)

When NOT to Use This Skill

  • For web apps (different SEO strategies apply)
  • For enterprise apps not in public stores
  • For apps in beta/TestFlight only
  • If you need paid advertising strategies (use marketing skills instead)

Integration with Other Skills

This skill works well with:

  • Content Strategy Skills: For creating app descriptions and marketing copy
  • Analytics Skills: For analyzing download and engagement data
  • Localization Skills: For managing multi-language content
  • Design Skills: For creating optimized visual assets
  • Marketing Skills: For coordinating broader launch campaigns

Version & Updates

This skill is based on current Apple App Store and Google Play Store requirements as of November 2025. Store policies and best practices evolve—verify current requirements before major launches.

Key Updates to Monitor:

  • Apple App Store Connect updates (apple.com/app-store/review/guidelines)
  • Google Play Console updates (play.google.com/console/about/guides/releasewithconfidence)
  • iOS/Android version adoption rates (affects device testing)
  • Store algorithm changes (follow ASO blogs and communities)

平台分布

Claude Code

30.62%
按下载量换算68

trae

22.46%
按下载量换算50

OpenCode

15.31%
按下载量换算34

Antigravity

13.66%
按下载量换算30

Gemini CLI

8.56%
按下载量换算19

replit

3.68%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。

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