analytics

Define and implement GA4 and GTM analytics tracking with naming conventions and data quality plans.

Updated May 24, 2026
One-click install
npx skills add https://github.com/yonetim258852/ozgur-os --skill analytics-yonetim258852
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: analytics
Source: https://github.com/yonetim258852/ozgur-os/tree/main/.agents/skills/analytics
Command: npx skills add https://github.com/yonetim258852/ozgur-os --skill analytics-yonetim258852

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Analytics tracking helps teams measure product and marketing performance by turning raw data into actionable insights that drive decisions.

Core Features & Use Cases

  • Establish a tracking plan framework and naming conventions to ensure consistency across tools
  • Implement GA4 and GTM configurations, plus data quality and privacy safeguards
  • Use cases include monitoring site interactions, conversions, and feature usage to inform product decisions

Quick Start

Define your top measurement questions and implement a GA4 + GTM tracking setup to capture signup, feature usage, and upgrade events.

Frequently Asked Questions about analytics

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

FAQPage Schema
How do I set up GA4 and GTM tracking for website conversions and feature usage?

To set up GA4 and GTM tracking, you need to define your top measurement questions, establish a naming convention, and implement configurations to capture specific events like signups, feature usage, and upgrades. This ensures consistent data capture for product decisions.

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

An analytics tracking plan is a framework that defines what interactions to measure to inform business decisions. Naming conventions ensure consistency across tools, preventing fragmented data and maintaining high data quality for reliable reporting.

How do I create a data quality and privacy plan for GA4 tracking?

Creating a data quality and privacy plan for GA4 tracking involves defining safeguards within your tracking setup to protect user data. It ensures collected interactions satisfy privacy requirements while maintaining the accuracy of your analytics data.

Can I use this analytics setup to monitor both marketing and product contexts?

Yes, you can apply this analytics setup to both marketing and product contexts. It handles tracking for website visits, marketing conversions, and product feature usage, turning raw data into actionable insights across different business areas.

What is the best way to debug GA4 and GTM implementations?

The best way to debug GA4 and GTM implementations is to apply a dedicated debugging plan alongside your tracking setup. This verifies that your defined events, such as signups and feature usage, are capturing data accurately before analysis.