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google-analytics-automationGoogle Analytics 自动化

Agent Skill

用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备。它适合让 Agent 清洗字段、汇总数据、发现异常、生成统计口径或把分析结果转成可读说明。使用时需要确认数据来源、字段含义和时间范围,避免把样本数据当全量事实;涉及敏感数据、导出文件或批量写回时,应先确认权限和脱敏边界。

总安装

519

周安装

21

GitHub Stars

52

下载量

163
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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:google-analytics-automation(Google Analytics 自动化)
来源仓库:https://github.com/aaaaqwq/claude-code-skills
仓库路径:skills/google-analytics-automation
安装命令:
npx skills add https://github.com/aaaaqwq/claude-code-skills --skill google-analytics-automation
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/aaaaqwq/claude-code-skills --skill google-analytics-automation

简介

用于辅助数据整理、表格处理和指标计算,适合清洗字段、汇总数据或生成统计口径。

  • 适用于 CSV/Excel 分析和图表准备等数据处理任务。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装并使用。
  • 使用时需确认数据来源和时间范围,避免将样本当作全量事实。
  • google-analytics-automation 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Google Analytics Automation via Rube MCP

Automate Google Analytics 4 (GA4) reporting and property management through Composio's Google Analytics toolkit via Rube MCP.

Prerequisites

  • Rube MCP must be connected (RUBE_SEARCH_TOOLS available)
  • Active Google Analytics connection via RUBE_MANAGE_CONNECTIONS with toolkit google_analytics
  • Always call RUBE_SEARCH_TOOLS first to get current tool schemas

Setup

Get Rube MCP: Add https://rube.app/mcp as an MCP server in your client configuration. No API keys needed — just add the endpoint and it works.

  1. Verify Rube MCP is available by confirming RUBE_SEARCH_TOOLS responds
  2. Call RUBE_MANAGE_CONNECTIONS with toolkit google_analytics
  3. If connection is not ACTIVE, follow the returned auth link to complete Google OAuth
  4. Confirm connection status shows ACTIVE before running any workflows

Core Workflows

1. List Accounts and Properties

When to use: User wants to discover available GA4 accounts and properties

Tool sequence:

  1. GOOGLE_ANALYTICS_LIST_ACCOUNTS - List all accessible GA4 accounts [Required]
  2. GOOGLE_ANALYTICS_LIST_PROPERTIES - List properties under an account [Required]

Key parameters:

  • pageSize: Number of results per page
  • pageToken: Pagination token from previous response
  • filter: Filter expression for properties (e.g., parent:accounts/12345)

Pitfalls:

  • Property IDs are numeric strings prefixed with 'properties/' (e.g., 'properties/123456')
  • Account IDs are prefixed with 'accounts/' (e.g., 'accounts/12345')
  • Always list accounts first, then properties under each account
  • Pagination required for organizations with many properties

2. Run Standard Reports

When to use: User wants to query metrics and dimensions from GA4 data

Tool sequence:

  1. GOOGLE_ANALYTICS_LIST_PROPERTIES - Get property ID [Prerequisite]
  2. GOOGLE_ANALYTICS_GET_METADATA - Discover available dimensions and metrics [Optional]
  3. GOOGLE_ANALYTICS_CHECK_COMPATIBILITY - Verify dimension/metric compatibility [Optional]
  4. GOOGLE_ANALYTICS_RUN_REPORT - Execute the report query [Required]

Key parameters:

  • property: Property ID (e.g., 'properties/123456')
  • dateRanges: Array of date range objects with startDate and endDate
  • dimensions: Array of dimension objects with name field
  • metrics: Array of metric objects with name field
  • dimensionFilter / metricFilter: Filter expressions
  • orderBys: Sort order configuration
  • limit: Maximum rows to return
  • offset: Row offset for pagination

Pitfalls:

  • Date format is 'YYYY-MM-DD' or relative values like 'today', 'yesterday', '7daysAgo', '30daysAgo'
  • Not all dimensions and metrics are compatible; use CHECK_COMPATIBILITY first
  • Use GET_METADATA to discover valid dimension and metric names
  • Maximum 9 dimensions per report request
  • Row limit defaults vary; set explicitly for large datasets
  • offset is for result pagination, not date pagination

3. Run Batch Reports

When to use: User needs multiple different reports from the same property in one call

Tool sequence:

  1. GOOGLE_ANALYTICS_LIST_PROPERTIES - Get property ID [Prerequisite]
  2. GOOGLE_ANALYTICS_BATCH_RUN_REPORTS - Execute multiple reports at once [Required]

Key parameters:

  • property: Property ID (required)
  • requests: Array of individual report request objects (same structure as RUN_REPORT)

Pitfalls:

  • Maximum 5 report requests per batch call
  • All reports in a batch must target the same property
  • Each individual report has the same dimension/metric limits as RUN_REPORT
  • Batch errors may affect all reports; check individual report responses

4. Run Pivot Reports

When to use: User wants cross-tabulated data (rows vs columns) like pivot tables

Tool sequence:

  1. GOOGLE_ANALYTICS_LIST_PROPERTIES - Get property ID [Prerequisite]
  2. GOOGLE_ANALYTICS_RUN_PIVOT_REPORT - Execute pivot report [Required]

Key parameters:

  • property: Property ID (required)
  • dateRanges: Date range objects
  • dimensions: All dimensions used in any pivot
  • metrics: Metrics to aggregate
  • pivots: Array of pivot definitions with fieldNames, limit, and orderBys

Pitfalls:

  • Dimensions used in pivots must also be listed in top-level dimensions
  • Pivot fieldNames reference dimension names from the top-level list
  • Complex pivots with many dimensions can produce very large result sets
  • Each pivot has its own independent limit and orderBys

5. Run Funnel Reports

When to use: User wants to analyze conversion funnels and drop-off rates

Tool sequence:

  1. GOOGLE_ANALYTICS_LIST_PROPERTIES - Get property ID [Prerequisite]
  2. GOOGLE_ANALYTICS_RUN_FUNNEL_REPORT - Execute funnel analysis [Required]

Key parameters:

  • property: Property ID (required)
  • dateRanges: Date range objects
  • funnel: Funnel definition with steps array
  • funnelBreakdown: Optional dimension to break down funnel by

Pitfalls:

  • Funnel steps are ordered; each step defines a condition users must meet
  • Steps use filter expressions similar to dimension/metric filters
  • Open funnels allow entry at any step; closed funnels require sequential progression
  • Funnel reports may take longer to process than standard reports

6. Manage Key Events

When to use: User wants to view or manage conversion events (key events) in GA4

Tool sequence:

  1. GOOGLE_ANALYTICS_LIST_PROPERTIES - Get property ID [Prerequisite]
  2. GOOGLE_ANALYTICS_LIST_KEY_EVENTS - List all key events for the property [Required]

Key parameters:

  • parent: Property resource name (e.g., 'properties/123456')
  • pageSize: Number of results per page
  • pageToken: Pagination token

Pitfalls:

  • Key events were previously called "conversions" in GA4
  • Property must have key events configured to return results
  • Key event names correspond to GA4 event names

Common Patterns

ID Resolution

Account name -> Account ID:

1. Call GOOGLE_ANALYTICS_LIST_ACCOUNTS
2. Find account by displayName
3. Extract name field (e.g., 'accounts/12345')

Property name -> Property ID:

1. Call GOOGLE_ANALYTICS_LIST_PROPERTIES with filter
2. Find property by displayName
3. Extract name field (e.g., 'properties/123456')

Dimension/Metric Discovery

1. Call GOOGLE_ANALYTICS_GET_METADATA with property ID
2. Browse available dimensions and metrics
3. Call GOOGLE_ANALYTICS_CHECK_COMPATIBILITY to verify combinations
4. Use verified dimensions/metrics in RUN_REPORT

Pagination

  • Reports: Use offset and limit for row pagination
  • Accounts/Properties: Use pageToken from response
  • Continue until pageToken is absent or rowCount reached

Common Dimensions and Metrics

Dimensions: date, city, country, deviceCategory, sessionSource, sessionMedium, pagePath, pageTitle, eventName

Metrics: activeUsers, sessions, screenPageViews, eventCount, conversions, totalRevenue, bounceRate, averageSessionDuration

Known Pitfalls

Property IDs:

  • Always use full resource name format: 'properties/123456'
  • Numeric ID alone will cause errors
  • Resolve property names to IDs via LIST_PROPERTIES

Date Ranges:

  • Format: 'YYYY-MM-DD' or relative ('today', 'yesterday', '7daysAgo', '30daysAgo')
  • Data processing delay means today's data may be incomplete
  • Maximum date range varies by property configuration

Compatibility:

  • Not all dimensions work with all metrics
  • Always verify with CHECK_COMPATIBILITY before complex reports
  • Custom dimensions/metrics have specific naming patterns

Response Parsing:

  • Report data is nested in rows array with dimensionValues and metricValues
  • Values are returned as strings; parse numbers explicitly
  • Empty reports return no rows key (not an empty array)

Quick Reference

TaskTool SlugKey Params
List accountsGOOGLE_ANALYTICS_LIST_ACCOUNTSpageSize, pageToken
List propertiesGOOGLE_ANALYTICS_LIST_PROPERTIESfilter, pageSize
Get metadataGOOGLE_ANALYTICS_GET_METADATAproperty
Check compatibilityGOOGLE_ANALYTICS_CHECK_COMPATIBILITYproperty, dimensions, metrics
Run reportGOOGLE_ANALYTICS_RUN_REPORTproperty, dateRanges, dimensions, metrics
Batch reportsGOOGLE_ANALYTICS_BATCH_RUN_REPORTSproperty, requests
Pivot reportGOOGLE_ANALYTICS_RUN_PIVOT_REPORTproperty, dateRanges, pivots
Funnel reportGOOGLE_ANALYTICS_RUN_FUNNEL_REPORTproperty, dateRanges, funnel
List key eventsGOOGLE_ANALYTICS_LIST_KEY_EVENTSparent, pageSize

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.64%
按下载量换算58

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30.76%
按下载量换算50

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20.28%
按下载量换算33

Gemini CLI

8.94%
按下载量换算15

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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