analytics

Set up and audit GA4/GTM analytics tracking with event libraries and validation.

Updated Mar 17, 2026
One-click install
npx skills add https://github.com/kekoesports/proyectozack --skill analytics-kekoesports
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: analytics
Source: https://github.com/kekoesports/proyectozack/tree/main/.agents/skills/analytics
Command: npx skills add https://github.com/kekoesports/proyectozack --skill analytics-kekoesports

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Provide reliable analytics tracking, measurement, and validation to reduce guesswork and power data-driven decisions across marketing and product teams.

Core Features & Use Cases

  • Tracking plan framework: define a standardized event catalog, properties, and funnel sequences to guide implementation.
  • GA4 + GTM guidance: naming conventions, data Layer / data mapping, and integration patterns for accurate measurement.
  • Quality, privacy & debugging: validation routines, privacy/compliance considerations, and debugging workflows to ensure data integrity and trust.
  • Use Case: apply to campaigns, product features, onboarding, and pricing experiments to surface actionable metrics.
  • Note: use with references/ga4-implementation.md and references/gtm-implementation.md for deeper guidance.

Quick Start

Set up GA4 and GTM for your site, then implement a basic signup_completed event with method and source parameters.

Frequently Asked Questions about analytics

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

FAQPage Schema
How do I set up a GA4 tracking plan for marketing sites and product apps?

To set up a GA4 tracking plan, define a standardized event catalog, properties, and funnel sequences. This framework guides your implementation for marketing sites and product apps to ensure accurate measurement and actionable insights.

How do I debug analytics tracking and validate data quality in GTM?

Debug analytics tracking in GTM by running validation routines and debugging workflows to ensure data integrity. This process verifies your data layer mapping and event naming conventions to maintain trustworthy measurement.

What's the best way to structure GA4 event naming and data layer mappings?

Structure GA4 event naming and data layer mappings by following standardized integration patterns and naming conventions. This ensures accurate measurement and consistent property definitions across your marketing and product analytics.

Does this analytics approach support privacy compliance considerations?

Yes, this analytics approach explicitly addresses privacy and compliance considerations. It provides guidance on implementing tracking while maintaining data privacy standards and ensuring regulatory compliance for your measurement setup.

Can I use this tracking framework for campaigns and pricing experiments?

Yes, you can apply this tracking framework to campaigns, product features, onboarding, and pricing experiments. It surfaces actionable metrics to power data-driven decisions across your marketing and product teams.

Why do I need a standardized event library for GA4 and GTM implementations?

A standardized event library is needed for GA4 and GTM implementations to reduce guesswork and ensure data quality. It provides defined properties and validation guidance, enabling reliable analytics tracking for data-driven decisions.