All Agent Skills

Data, Research & Analysis

analytics-tracking

Analytics Tracking is a source-indexed Agent Skill for data, research & analysis work. Based on the SKILL.md description, it focuses on set up, audit, and debug analytics tracking implementation — ga4, google tag manager, event taxonomy,…. Use the linked GitHub file to confirm scope and prerequisites before enabling it.

Read original SKILL.md
Review it in your own environment.

AI Vitamin indexes this source file; it does not certify safety, quality, compatibility, permissions, or outcomes.

What this Skill does

Analytics Tracking is a source-indexed Agent Skill for data, research & analysis work. Based on the SKILL.md description, it focuses on set up, audit, and debug analytics tracking implementation — ga4, google tag manager, event taxonomy,…. Use the linked GitHub file to confirm scope and prerequisites before enabling it.

What the author says

Set up, audit, and debug analytics tracking implementation — GA4, Google Tag Manager, event taxonomy, conversion tracking, and data quality. Use when building a tracking plan from scratch, auditing existing analytics for gaps or errors, debugging missing events, or setting up GTM. Trigger keywords: GA4 setup, Google Tag Manager, GTM, event tracking, analytics implementation, conversion tracking, tracking plan, event taxonomy, custom dimensions, UTM tracking, analytics audit, missing events, tracking broken. NOT for analyzing marketing campaign data — use campaign-analytics for that. NOT for BI dashboards — use product-analytics for in-product event analysis.

Compatibility and requirements

  • Use an agent runtime that supports Agent Skills and the linked SKILL.md format.
  • Confirm the source repository's tools, SDKs, and platform prerequisites for seo and content work.

How to install or import it

  • Open the linked GitHub SKILL.md and review its scope and setup instructions.
  • Install or import the skill using the agent runtime's documented workflow.
  • Run a small, non-sensitive test and verify the output before broader use.

Permissions and risks

  • Review every command, file path, network request, dependency, and credential scope before enabling it.
  • GitHub stars indicate popularity, not safety or correctness; validate the source and test with non-sensitive data.

Example workflows

  • Ask an AI agent to apply Analytics Tracking to seo and content work described in the source record.
  • Have the agent state assumptions, required tools, and expected output before using this data, research & analysis skill.
  • Compare the result with the linked GitHub SKILL.md and verify it against your project requirements.

Related Agent Skills

More source records in Data, Research & Analysis.

View category