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analytics-tracking分析跟踪

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。

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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:analytics-tracking(分析跟踪)
来源仓库:https://github.com/kostja94/marketing-skills
仓库路径:skills/analytics-tracking
安装命令:
npx skills add https://github.com/kostja94/marketing-skills --skill analytics-tracking
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/kostja94/marketing-skills --skill analytics-tracking

简介

analytics-tracking 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。

  • 适用于清洗字段、汇总数据、发现异常、生成统计口径或转分析结果为可读说明的场景。
  • 使用时需确认数据来源、字段含义和时间范围,避免将样本数据当作全量事实。
  • 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。
  • 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。

SKILL.md

Analytics: Tracking

Guides analytics implementation: GA4 setup, event tracking, conversions, and data quality. Applies to web and app tracking across marketing channels.

When invoking: On first use, if helpful, open with 1-2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.

User ID

  • Purpose: Cross-device, cross-session user identification
  • Implementation: Set user_id when user is identified (e.g., login); send to GA4
  • Benefit: Accurate attribution across sessions; better audience building

CTA Attribution (Article ROI)

Track CTA clicks on key articles to measure content ROI:

ActionPurpose
Event per CTAe.g., cta_click with content_url, content_type
ConversionMark as conversion in GA4 for attribution
UseCompare high vs low performers; optimize CTA placement and copy

See seo-monitoring for article database and benchmark context.

Infrastructure Requirements

ComponentPurpose
Data warehouseCentralized data; BI reporting
Event trackingUser behavior; funnel mapping
AttributionAd pixels; attribution model; impression-to-sale tracking

Optimization flow: Clean UTM + conversion events → attribution reports → optimize channel mix.

Scope

  • GA4: Web data stream, gtag.js, configuration
  • User ID: Cross-device, cross-session identification
  • CTA attribution: Per-article conversion tracking for content ROI
  • Events: Recommended and custom events
  • Conversions: Key events, parameters
  • Quality: Naming, testing, validation

GA4 Setup

Prerequisites

  • Google Analytics property and web data stream
  • Google tag (gtag.js) on all pages
  • Measurement ID (e.g., G-XXXXXXXXXX)

Enhanced Measurement

Enable in Admin > Data Streams > Enhanced Measurement for automatic tracking of:

  • Page views, scrolls, outbound clicks
  • Site search, file downloads
  • Video engagement (YouTube)

Event Tracking

Event Types

TypeDescription
Automatically collectedpage_view, first_visit, session_start
Enhanced measurementscroll, click, file_download, etc.
Recommendedpurchase, sign_up, search, etc.
CustomBusiness-specific actions

Naming Conventions

  • Length: <=40 characters (GA4 hard limit; longer names are not logged)
  • Format: snake_case, lowercase
  • Verb first: download_pdf, submit_form, video_play
  • Context: pricing_page_scroll vs generic scroll

gtag.js Syntax

gtag('event', '<event_name>', {
  <parameter_name>: <value>,
  // e.g. value: 99.99, currency: 'USD'
});

Place below the Google tag snippet. Events fire on page load or user action (e.g., button click).

Recommended Events

EventUseKey Parameters
purchaseE-commercevalue, currency, items
sign_upRegistrationmethod
loginLoginmethod
searchSite searchsearch_term
view_itemProduct viewitems
add_to_cartAdd to cartitems

Custom Events

  • Focus on 15-25 meaningful events aligned with KPIs
  • Add parameters for context (e.g., content_type, item_id)
  • Avoid tracking everything; prioritize quality over quantity

Conversions (Key Events)

  • Mark important events as conversions in GA4 Admin
  • Use for attribution, audiences, and reporting
  • Typical: purchase, sign_up, lead, contact

Attribution & Conversion Optimization

Attribution models determine how conversion credit is assigned across touchpoints. Use attribution data to optimize ads and growth channels.

ModelUse
Data-driven (GA4 default)ML assigns credit by actual contribution; best for multi-touch journeys
Last-click100% to final touchpoint; simple but undervalues awareness/consideration

Optimization flow: Clean UTM (source, medium, campaign) + conversion events → GA4 attribution reports → compare channels by attributed conversions → reallocate budget to ads/channels that drive results. Inconsistent UTM fragments data; multi-touch attribution requires reliable touchpoint data.

Reference: UTM.io – UTMs for Marketing Attribution, GA4 – Get started with attribution

Testing & Validation

ToolUse
RealtimeSee events as they fire
DebugViewDetailed event/parameter inspection; requires debug mode
GA4 Debug modegtag('config', 'G-XXX', {'debug_mode': true}); or GTM preview
  • Test before launch; verify parameters and naming
  • Check for duplicate events, missing values

Output Format

  • Event list (name, trigger, parameters)
  • Implementation notes (gtag or GTM)
  • Conversion mapping
  • Testing checklist

Related Skills

  • traffic-analysis: UTM, source attribution; attribution for channel optimization
  • ai-traffic-tracking: AI traffic in GA4
  • google-search-console: GSC analysis (correlate with GA4)
  • seo-monitoring: Article database, benchmark, full SEO monitoring framework

适合场景

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02

需要根据任务场景推荐可安装能力包时

03

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能力概览

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能力 2

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能力 3

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能力 4

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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

36.22%
按下载量换算1,808

Claude

31.11%
按下载量换算1,553

Cursor

16.06%
按下载量换算802

Gemini CLI

8%
按下载量换算399

安全审计

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Snyk

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安装前确认

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