analytics-tracking

Implement GA4 and GTM analytics tracking with event catalogs and data-layer specifications.

1|Updated Mar 11, 2026
One-click install
npx skills add https://github.com/Rollandcodes/BizAI --skill analytics-tracking-rollandcodes
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: analytics-tracking
Source: https://github.com/Rollandcodes/BizAI/tree/main/SKILL.md/skills/analytics-tracking
Command: npx skills add https://github.com/Rollandcodes/BizAI --skill analytics-tracking-rollandcodes

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Helps teams plan, implement, and audit analytics tracking to drive data-driven decisions across marketing and product experiences.

Core Features & Use Cases

  • Tracking plan framework with consistent event taxonomy, naming, and properties to ensure high-quality data.
  • GA4 and GTM guidance including implementation patterns, debugging tips, and privacy/compliance considerations.
  • Debugging, validation, and data-quality practices to prevent gaps, duplicates, and PII exposure.
  • Use cases include site analytics, product usage analysis, conversion funnels, and AB-test measurement planning (see ab-test-setup for related work).

Quick Start

Identify your top business questions, define a GA4-aligned event catalog, and implement via GTM dataLayer pushes and GA4 events.

Frequently Asked Questions about analytics-tracking

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

FAQPage Schema
How do I plan GA4 and GTM tracking for marketing sites and product apps?

Plan GA4 and GTM tracking by defining an aligned event catalog, implementing dataLayer pushes, and validating events. This framework ensures consistent taxonomy and high-quality data for decisive product insights.

What is an analytics tracking plan and why do I need one?

An analytics tracking plan is a framework defining event taxonomy, naming conventions, and property schemas. You need it to prevent data gaps, ensure high-quality measurement, and guide engineers and marketers.

How do I create consistent event naming conventions for analytics tracking?

Create consistent event naming conventions by establishing a standard event catalog within your tracking plan. This defines a clear taxonomy and data-layer specifications to maintain data quality across GA4.

Can I use this tracking framework for conversion funnels and product usage analysis?

Yes, you can use this tracking framework for conversion funnels and product usage analysis. It supports data-driven decisions by scoping GA4 configurations and standard events for marketing and product experiences.

How do I debug analytics tracking and prevent PII exposure in GA4?

Debug analytics tracking and prevent PII exposure by applying validation steps and privacy considerations outlined in the framework. These debugging practices prevent data gaps, duplicates, and compliance issues.

What's the best way to document GA4 configurations and data-layer specifications for engineers?

The best way to document GA4 configurations is through a reusable tracking plan. This provides explicit data-layer specifications, validation steps, and an event catalog to guide engineering implementation.