analytics-tracking

Design analytics tracking plans with GA4 and GTM integrations.

Updated Feb 19, 2026
One-click install
npx skills add https://github.com/AJ-434/Corey-Haines-Skills --skill analytics-tracking-aj-434
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: analytics-tracking
Source: https://github.com/AJ-434/Corey-Haines-Skills/tree/main/skills/analytics-tracking
Command: npx skills add https://github.com/AJ-434/Corey-Haines-Skills --skill analytics-tracking-aj-434

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Marketing teams often struggle to design, implement, and maintain effective analytics tracking that yields actionable insights for product and marketing decisions.

Core Features & Use Cases

  • End-to-end tracking plan design covering marketing sites and product apps, with event catalogs, naming conventions, and data quality guidance.
  • GA4 and GTM integration guidance, debugging workflows, and validation checks to ensure reliable data.
  • Reference frameworks for event types, properties, and funnel analyses to drive better decisions.

Quick Start

Describe your goals, current tracking state, and preferred tools, and I will produce a complete tracking plan.

Frequently Asked Questions about analytics-tracking

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create an analytics tracking plan for a marketing site and product app?

An analytics tracking plan defines event catalogs, naming conventions, and data quality rules. It outputs a complete framework covering events, properties, naming schemes, and validation steps for reliable data collection.

What is the best way to set up GA4 and GTM integrations for event tracking?

GA4 and GTM integrations require structured event tracking design. A tracking plan provides debugging workflows and validation checks to ensure reliable data collection across marketing sites and product apps.

Do I need a naming convention for data collection events in GA4?

Yes, naming conventions are essential for data collection. A tracking plan establishes consistent naming schemes for events and properties, ensuring clean data quality for product and marketing decisions.

Can I use this approach to track funnel analyses for marketing and product decisions?

Yes, tracking plans include reference frameworks for event types and funnel analyses. These frameworks drive better decisions by mapping events and properties to specific marketing and product actions.

How do I validate and debug analytics tracking after implementation?

Debugging analytics tracking requires specific workflows and validation checks. A tracking plan outputs debugging guidelines to verify data quality and ensure events fire correctly in GA4 and GTM.

What should I include in a UTMs and event catalog setup for data collection?

A data collection setup should include event catalogs, UTMs, naming schemes, and validation steps. These elements form a complete tracking plan that informs product and marketing decisions.