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Agent Skill · 研究检索

playstore-competitor-analysis(Play 商店竞争对手分析)

playstore-competitor-analysis 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。

playstore-competitor-analysis 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;许可证信息还不明确,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 66,577。

总安装 261周安装 11GitHub Stars 公开资料未说明下载 92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
unknown

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:playstore-competitor-analysis(Play 商店竞争对手分析)
来源仓库:https://github.com/linakis/ai-assistant-skills
仓库路径:skills/playstore-competitor-analysis
安装命令:
npx skills add https://github.com/linakis/ai-assistant-skills --skill playstore-competitor-analysis
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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/linakis/ai-assistant-skills --skill playstore-competitor-analysis

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。

playstore-competitor-analysis 用于查找、检索和筛选相关信息,适合在应用商店优化(ASO)或市场竞争分析中快速获取数据时使用。适用于关键词挖掘、评分趋势追踪或功能对比等 ASO 相关任务。

通过 npx skills add 命令从 ai-assistant-skills 项目安装,需确认是否调用 Google Play 官方 API。建议遵守平台速率限制,避免因频繁请求导致账号受限。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/playstore-competitor-analysis

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/linakis/ai-assistant-skills --skill playstore-…;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

playstore-competitor-analysis 怎么安装?

在终端执行 npx skills add https://github.com/linakis/ai-assistant-skills --skill playstore-competitor…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

playstore-competitor-analysis 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。

playstore-competitor-analysis 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。

playstore-competitor-analysis 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

playstore-competitor-analysis 用的人多吗?

公开数据是累计安装 261 次,近一周安装 11 次,下载 92 次。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。

playstore-competitor-analysis 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。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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

  • 需要明确授权才能用到公司项目里的场景。
  • 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
playstore-competitor-analysis

Play 商店竞争对手分析 · 本页

261—需要联网未明确有提醒

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

Play Store Competitor Analysis

Extract comprehensive app data and screenshots from Google Play Store listings for competitive analysis. Supports single app analysis, multi-app comparison, or searching for top competitors by keyword.

Requirements

Install the google-play-scraper package. On modern macOS/Linux systems, you'll need to use a virtual environment:

# Create a virtual environment in the skill directory (one-time setup)
python3 -m venv .venv

# Activate and install the package
source .venv/bin/activate
pip install google-play-scraper

Then run the script with the virtual environment's python:

# Use the venv python directly (no activation needed)
.venv/bin/python3 scripts/scrape_play_store.py --search "messenger" ./output

# Or activate first, then run
source .venv/bin/activate
python3 scripts/scrape_play_store.py --search "messenger" ./output

Workflow

  1. Determine the analysis type:

- Single app: User provides a Play Store URL or package ID - Comparison: User provides multiple URLs/package IDs - Search: User wants to find top competitors for a keyword (e.g., "top 10 messenger apps")

  1. Run the appropriate scraper command
  2. Review the generated outputs with the user

Usage

Single App Analysis

Run the scraper with a Play Store URL or package ID:

python3 scripts/scrape_play_store.py "<play_store_url_or_package_id>" "<output_directory>"

Examples:

# Using URL
python3 scripts/scrape_play_store.py "https://play.google.com/store/apps/details?id=com.slack" ./competitor-analysis/slack

# Using package ID directly
python3 scripts/scrape_play_store.py com.slack ./competitor-analysis/slack

Multiple App Comparison

Run the scraper with multiple URLs or package IDs:

python3 scripts/scrape_play_store.py --compare "<id1>" "<id2>" "<id3>" "<output_directory>"

Example:

python3 scripts/scrape_play_store.py --compare \
  com.slack \
  com.microsoft.teams \
  com.discord \
  ./competitor-analysis/messaging-apps

Search for Top Competitors

Search for top apps by keyword and automatically analyze them:

python3 scripts/scrape_play_store.py --search "<query>" "<output_directory>" --limit <N>

Examples:

# Find and analyze top messenger apps
python3 scripts/scrape_play_store.py --search "messenger apps" ./competitor-analysis/messenger --limit 10

# Find top 5 podcast apps
python3 scripts/scrape_play_store.py --search "podcast" ./competitor-analysis/podcasts --limit 5

# Default limit is 10 if not specified
python3 scripts/scrape_play_store.py --search "fitness tracker" ./competitor-analysis/fitness

Output

Single App Output

output_dir/
├── {package-id}.json    # Full structured data
├── {package-id}.md      # Formatted report
├── icon.png             # App icon
└── screenshots/
    ├── screenshot_01.png
    ├── screenshot_02.png
    └── ...

Comparison/Search Output

output_dir/
├── comparison.json      # All apps data for programmatic use
├── comparison.md        # Side-by-side comparison report
├── {app-1-package-id}/
│   ├── {package-id}.json
│   ├── {package-id}.md
│   ├── icon.png
│   └── screenshots/
├── {app-2-package-id}/
│   └── ...
└── {app-3-package-id}/
    └── ...

Data Extracted

FieldDescription
titleApp name
descriptionFull app description
short_descriptionBrief summary
ratingAverage star rating (1-5)
rating_countNumber of ratings
reviews_countNumber of text reviews
histogramRating distribution [1-star, 2-star, 3-star, 4-star, 5-star]
installsInstall count range (e.g., "10,000,000+")
real_installsActual install count estimate
categoryPrimary category
category_idCategory ID (e.g., GAME_ACTION)
pricePrice or 0 for free
freeBoolean: is app free
currencyPrice currency code
contains_adsBoolean: has advertisements
offers_iapBoolean: has in-app purchases
iap_rangeIn-app purchase price range
developerDeveloper name
developer_idDeveloper ID
developer_emailDeveloper contact email
developer_websiteDeveloper website URL
developer_addressDeveloper address
privacy_policyPrivacy policy URL
versionCurrent version
android_versionMinimum Android version (text)
content_ratingContent rating (Everyone, Teen, etc.)
content_rating_descriptionContent rating details
releasedOriginal release date
last_updatedLast update timestamp
screenshotsAll screenshot URLs
videoPromo video URL if available
icon_urlApp icon URL
header_imageHeader/feature graphic URL

Comparison Report Includes

MetricDescription
Rating comparisonSide-by-side ratings with visual indicators
Install baseRelative market presence with actual numbers
Update frequencyLast update dates
MonetizationFree/paid, ads, IAP comparison
Feature highlightsKey differentiators from descriptions
Competitive insightsHighest rated, most installed, etc.

Notes

  • Uses the google-play-scraper Python package for reliable data extraction
  • Screenshots are downloaded at high resolution
  • Rate limiting is applied automatically to avoid blocking
  • For comparison/search mode, apps are processed sequentially with delays
  • Output directories are created if they don't exist
  • The comparison report highlights competitive advantages and gaps
  • Search results are ordered by Play Store's ranking algorithm

平台分布

Codex

35.33%
按下载量换算33

Claude

29.49%
按下载量换算27

Cursor

17.59%
按下载量换算16

Gemini CLI

9.03%
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。目前只有一个公开来源,建议同时核对源仓库。

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