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gtm-present

Measure how Google Tag Manager affects page loading and rendering. Identify costly tags, triggers, and requests, then guide cleanup, asynchronous loading, or a move to server-side processing based on observed performance problems.

OriginalShow the original description

Use when auditing slow page loads, heavy assets, or rendering delays related to Optimize Google Tag Manager implementation. Verify the actual bottleneck in DevTools, Lighthouse, or field data before recommending changes.

AI rating80/ 100See how to install

Good for

  • Investigate slow pages using GTM
  • Review unused tags and triggers
  • Check asynchronous script loading
  • Assess server-side GTM

Overview

What it does

This skill helps you investigate how Google Tag Manager (GTM) affects page loading and rendering. It reviews the number of tags and triggers, script placement, and loading methods. It identifies files and requests that cause unnecessary network activity, CPU work, or layout calculations, and explains the measurements used to confirm each issue.

When it helps

Use it when a page with GTM feels slow or when you want to review a site that has accumulated tracking tags. DevTools, Lighthouse, and data from real usage help establish the cause. You can then consider changes with both tracking requirements and page speed in mind.

Example requests

  • “Use Lighthouse to check GTM's performance impact and identify what causes delays.”
  • “Review unused tags and triggers, along with the asynchronous loading settings.”
  • “Assess whether moving processing to Server-Side GTM would help.”

Notes

Recommendations assume that the problem has first been verified through DevTools, Lighthouse, real usage data, or similar measurements. Server-Side GTM is an option to assess. The improvement method should follow the performance problems actually measured.

This overview was written by AI (OpenAI Codex) from the public SKILL.md. Check the original below for the exact behavior.

Objective evaluation

AI rated this skill on four points using only the contents of its SKILL.md. Stars and popularity are not taken into account.

Clear instructionsIs it clear when to use it and what it does?
AGoodIt explicitly targets GTM loading and rendering delays and requires measurement before recommending changes.
Concrete stepsAre steps, inputs, outputs, and examples spelled out?
AGoodIt specifies Lighthouse checks, unused tag cleanup, and reporting exact files and the measurement method.
SafetyAre sending data, deleting files, and running commands disclosed?
BPartly lackingIt directs unused tag removal but does not describe how to verify the effect on tracking.
Easy setupDoes it need few tools or API keys, and are they documented?
BPartly lackingIt names DevTools and Lighthouse but does not provide steps for preparing the measurement environment.

The total counts each point as A = 25, B = 15, C = 5. Rated by AI (OpenAI Codex) as of Oct 23, 2026. Treat it as a guide and read the original before installing.

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Files included (2)

  • SKILL.md1.6 KB
  • references/rule.md4.2 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Optimize Google Tag Manager implementation

An unoptimized GTM setup can lead to significant main-thread blocking and increased page weight, slowing down the overall user experience.

Quick Reference

  • Place the GTM script in the <head> but audit its impact
  • Minimize the number of tags and triggers to reduce execution
  • Use Server-Side GTM to offload processing from the client

Check

Verify that GTM is implemented correctly and evaluate its impact on page performance using Lighthouse.

Fix

Clean up unused tags, use asynchronous loading, and consider moving to a server-side implementation.

Explain

Explain how GTM affects performance and how to balance tracking needs with speed.

Code Review

Review the routes, assets, and loading behavior that affect Optimize Google Tag Manager implementation. Flag exact files, requests, or rendering steps that add unnecessary network, CPU, or layout cost, and describe the measurement method used to confirm the issue.


For full implementation details, code examples, and framework-specific guidance, see references/rule.md.

Rule page: https://frontendchecklist.io/rules/performance/gtm-present

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