Google Analytics 4, Search Console, and Indexing API toolkit. Analyze website traffic, page performance, user demographics, real-time visitors, search queries, and SEO metrics. Use when the user asks to: check site traffic, analyze page views, see traffic sources, view user demographics, get real-time visitor data, check search console queries, analyze SEO performance, request URL re-indexing, inspect index status, compare date ranges, check bounce rates, view conversion data, or get e-commerce revenue. Requires a Google Cloud service account with GA4 and Search Console access.
数据来源:ClawHub。 在 ClawSkills 查看
选择你使用的 Agent
方法一:命令行安装(推荐)
推荐(无需提前安装 clawhub)
npx clawhub@latest --dir ~/.claude/skills install ga4-analytics或使用 clawhub CLI(需提前安装)
clawhub --dir ~/.claude/skills install ga4-analytics⚠️ 需要 Node.js 18+,没有 Node?请使用下方方法二直接下载 ZIP。 安装 Node.js →
方法二:手动下载安装(无需 Node)
下载 ZIP,解压后将文件夹放到以下路径,重启 Agent 即可:
安装路径
~/.claude/skills/ga4-analytics/💡解压后将文件夹放到上方路径,重启 Agent 即可生效
--- name: ga4-analytics description: "Google Analytics 4, Search Console, and Indexing API toolkit. Analyze website traffic, page performance, user demographics, real-time visitors, search queries, and SEO metrics. Use when the user asks to: check site traffic, analyze page views, see traffic sources, view user demographics, get real-time visitor data, check search console queries, analyze SEO performance, request URL re-indexing, inspect index status, compare date ranges, check bounce rates, view conversion data, or get e-commerce revenue. Requires a Google Cloud service account with GA4 and Search Console access." ---
Install dependencies:
cd scripts && npm install
Configure credentials by creating a .env file in the project root:
GA4_PROPERTY_ID=123456789
[email protected]
GA4_PRIVATE_KEY="-----BEGIN PRIVATE KEY-----\n...\n-----END PRIVATE KEY-----\n"
SEARCH_CONSOLE_SITE_URL=https://your-domain.com
GA4_DEFAULT_DATE_RANGE=30d
Prerequisites: A Google Cloud project with the Analytics Data API, Search Console API, and Indexing API enabled. A service account with access to your GA4 property and Search Console.
| User says | Function to call | |-----------|-----------------| | "Show me site traffic for the last 30 days" | siteOverview("30d") | | "What are my top search queries?" | searchConsoleOverview("30d") | | "Who's on the site right now?" | liveSnapshot() | | "Reindex these URLs" | reindexUrls(["https://example.com/page1", ...]) | | "Compare this month vs last month" | compareDateRanges({startDate: "30daysAgo", endDate: "today"}, {startDate: "60daysAgo", endDate: "31daysAgo"}) | | "What pages get the most traffic?" | contentPerformance("30d") |
Execute functions by importing from scripts/src/index.ts:
import { siteOverview, searchConsoleOverview } from './scripts/src/index.js';
const overview = await siteOverview('30d');
Or run directly with tsx:
npx tsx scripts/src/index.ts
Every analysis follows three phases:
Run API functions. Each call hits the Google APIs and returns structured data.
All results automatically save as timestamped JSON files to results/{category}/. File naming pattern: YYYYMMDD_HHMMSS__operation__extra_info.json
After analysis, read the saved JSON files and create a markdown summary in results/summaries/ with data tables, trends, and recommendations.
| Function | Purpose | What it gathers | |----------|---------|----------------| | siteOverview(dateRange?) | Comprehensive site snapshot | Page views, traffic sources, demographics, events | | trafficAnalysis(dateRange?) | Traffic deep-dive | Sources, sessions by source/medium, new vs returning | | contentPerformance(dateRange?) | Top pages analysis | Page views, landing pages, exit pages | | userBehavior(dateRange?) | Engagement patterns | Demographics, events, daily engagement metrics | | compareDateRanges(range1, range2) | Period comparison | Side-by-side metrics for two date ranges | | liveSnapshot() | Real-time data | Active users, current pages, current events |
| Function | Purpose | What it gathers | |----------|---------|----------------| | searchConsoleOverview(dateRange?) | SEO snapshot | Top queries, pages, device, country breakdown | | keywordAnalysis(dateRange?) | Keyword deep-dive | Queries with device breakdown | | seoPagePerformance(dateRange?) | Page SEO metrics | Top pages by clicks, country breakdown |
| Function | Purpose | |----------|---------| | reindexUrls(urls) | Request re-indexing for multiple URLs | | checkIndexStatus(urls) | Check if URLs are indexed |
| Function | Purpose | |----------|---------| | getAvailableFields() | List all available GA4 dimensions and metrics |
For granular control, import specific functions from the API modules. See references/api-reference.md for the complete list of 30+ API functions with parameters, types, and examples.
All functions accept flexible date range formats:
| Format | Example | Description | |--------|---------|-------------| | Shorthand | "7d", "30d", "90d" | Days ago to today | | Explicit | {startDate: "2024-01-01", endDate: "2024-01-31"} | Specific dates | | GA4 relative | {startDate: "30daysAgo", endDate: "today"} | GA4 relative format |
Default is "30d" (configurable via GA4_DEFAULT_DATE_RANGE in .env).
Results auto-save to results/ with this structure:
results/
├── reports/ # GA4 standard reports
├── realtime/ # Real-time snapshots
├── searchconsole/ # Search Console data
├── indexing/ # Indexing API results
└── summaries/ # Human-readable markdown summaries
import { listResults, loadResult, getLatestResult } from './scripts/src/index.js';
// List recent results
const files = listResults('reports', 10);
// Load a specific result
const data = loadResult(files[0]);
// Get most recent result for an operation
const latest = getLatestResult('reports', 'site_overview');
pagePath, pageTitle, sessionSource, sessionMedium, country, deviceCategory, browser, date, eventName, landingPage, newVsReturning
screenPageViews, activeUsers, sessions, newUsers, bounceRate, averageSessionDuration, engagementRate, conversions, totalRevenue, eventCount
compareDateRanges() to spot trends (this month vs last month)liveSnapshot() shows who's on the site right now安装 GA4 Analytics 后,可以对 AI 说这些话来触发它
Help me get started with GA4 Analytics
Explains what GA4 Analytics does, walks through the setup, and runs a quick demo based on your current project
Use GA4 Analytics to google Analytics 4, Search Console, and Indexing API toolkit
Invokes GA4 Analytics with the right parameters and returns the result directly in the conversation
What can I do with GA4 Analytics in my data & analytics workflow?
Lists the top use cases for GA4 Analytics, with example commands for each scenario
将技能文件夹放到 ~/.claude/skills/ga4-analytics/ 目录(个人级,所有项目可用),或 .claude/skills/ga4-analytics/(项目级)。重启 AI 客户端后,用 /ga4-analytics 主动调用,或让 AI 根据上下文自动发现并使用。
GA4 Analytics 支持 Claude、Cursor、OpenClaw,可与这些 AI 平台无缝集成,扩展其能力。
GA4 Analytics 可免费安装使用。请查阅仓库了解许可证信息。
Google Analytics 4, Search Console, and Indexing API toolkit. Analyze website traffic, page performance, user demographics, real-time visitors, search queries, and SEO metrics. Use when the user asks to: check site traffic, analyze page views, see traffic sources, view user demographics, get real-time visitor data, check search console queries, analyze SEO performance, request URL re-indexing, inspect index status, compare date ranges, check bounce rates, view conversion data, or get e-commerce revenue. Requires a Google Cloud service account with GA4 and Search Console access.
Automate my data & analytics tasks using GA4 Analytics
Identifies repetitive steps in your workflow and sets up GA4 Analytics to handle them automatically
GA4 Analytics 属于「Data & Analytics」分类,该分类的技能帮助 AI 智能体在此领域执行专业任务。