analytics

Implements and audits analytics tracking systems for marketing and product teams.

214|7|Updated May 29, 2026
One-click install
npx skills add https://github.com/anolilab/lunora --skill analytics-anolilab
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: analytics
Source: https://github.com/anolilab/lunora/tree/main/.agents/skills/analytics
Command: npx skills add https://github.com/anolilab/lunora --skill analytics-anolilab

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill resolves the uncertainty of marketing and product measurement by providing a structured framework to implement, audit, and optimize your analytics tracking.

Core Features & Use Cases

  • Tracking Plan Development: Create consistent, decision-driven event schemas for web and product apps.
  • Implementation Guidance: Get step-by-step instructions for GA4, GTM, and UTM parameter strategies.
  • Debugging & Validation: Systematically troubleshoot data discrepancies, duplicate events, and tracking failures.

Quick Start

Ask the analytics skill to create a tracking plan for your new SaaS product including signups and feature usage events.

Frequently Asked Questions about analytics

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

FAQPage Schema
How do I create a tracking plan for GA4 and GTM?

Build consistent, decision-driven event schemas for web and product apps to guide your GA4 configuration, GTM data layer patterns, and UTM parameter management. This structured approach ensures comprehensive measurement for marketing and product teams.

What is the best way to debug duplicate events in GA4?

Systematically troubleshoot data discrepancies by validating tracking integrity and debugging event triggers, property population, and cross-platform data consistency. This resolves duplicate events and tracking failures across your analytics implementation.

How do I structure a data layer for GTM?

Implement consistent event naming conventions and data layer patterns to ensure accurate property population. This framework validates tracking integrity and maintains cross-platform data consistency for your marketing measurement.

Why does my GA4 tracking show data discrepancies across platforms?

Data discrepancies occur due to inconsistent event triggers and property population. Systematically debug event triggers, validate tracking integrity, and align cross-platform data consistency to resolve these analytics measurement failures.

Can I use this analytics framework to audit UTM parameter management?

Yes, you can audit UTM parameter management using this framework. It provides comprehensive strategies for UTM parameter configuration and validates tracking integrity to ensure consistent cross-platform data measurement for marketing and product teams.