analytics-tracking

Design GA4 and GTM analytics tracking with event naming and data quality checks.

Updated Feb 23, 2026
One-click install
npx skills add https://github.com/cristian473/ps-landing-2 --skill analytics-tracking-cristian473
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: analytics-tracking
Source: https://github.com/cristian473/ps-landing-2/tree/main/.agents/skills/analytics-tracking
Command: npx skills add https://github.com/cristian473/ps-landing-2 --skill analytics-tracking-cristian473

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analytics tracking setup and auditing to ensure data-informed decisions across marketing and product teams, with guardrails for privacy and data quality.

Core Features & Use Cases

  • Assessment-driven tracking plan: align analytics with business objectives, identify key conversions, and map events to decisions.
  • Consistent event naming and measurement framework: establish standardized event taxonomy, properties, and data quality checks.
  • GA4 + GTM implementation patterns: guidance for data collection, debugging, privacy compliance, and ongoing validation across web and app contexts.
  • Real-world example: conduct an analytics audit for a SaaS site to specify core events like signup_completed, feature_used, and purchase events, then implement a tracking plan that supports decision-making.

Quick Start

Provide your site goals and deploy a GA4/GTM tracking plan using this framework.

Frequently Asked Questions about analytics-tracking

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

FAQPage Schema
How do I set up GA4 and GTM event tracking for a SaaS product?

Define your GA4 and GTM tracking plan by aligning business objectives with key conversions, establishing standardized event naming conventions, and applying data quality checks for ongoing validation across marketing sites and product apps.

What is a standardized event naming convention for analytics tracking?

A standardized event naming convention establishes a consistent event taxonomy and properties, such as signup_completed and feature_used, ensuring accurate data quality checks and reliable product decision-making across marketing and product teams.

How do I conduct an analytics audit to improve data quality?

Conduct an analytics audit by assessing your current tracking setup against business objectives, identifying key conversions, and specifying core events like purchase. This establishes a measurement framework ensuring data quality and privacy compliance for informed decisions.

Can I use this analytics tracking framework for both marketing sites and product apps?

Yes, this analytics tracking framework supports both marketing sites and product apps. It provides GA4 and GTM implementation patterns, debugging guidance, and privacy guardrails for safe data handling across web and app contexts.

Does GA4 tracking require specific privacy compliance and data handling guardrails?

GA4 tracking requires privacy compliance guardrails for safe data handling. This framework provides guidance on privacy-safe data collection and ongoing validation to ensure your analytics implementation meets compliance standards across all contexts.