Optimize Google Tag Manager implementation
SkillMediagtm-present is a skill for auditing how Google Tag Manager affects page load times. It guides a gtm claude skill style check of slow page loads, heavy assets, or rendering delays, verifying the actual bottleneck in DevTools, Lighthouse, or field data before recommending changes. It then suggests fixes such as cleaning up unused tags or moving to server-side GTM.
Available today. Use it from your connected AI after setup.
No other account needed.
Have a site with a Google Tag Manager implementation to audit.
Then ask your AI: use the Optimize Google Tag Manager implementation skill
What your AI can do with it
- Audit GTM's impact on page load times and rendering delays
- Verify the actual bottleneck using DevTools, Lighthouse, or field data
- Recommend cleaning up unused tags and reducing tags and triggers
- Suggest asynchronous loading of the GTM script
- Advise on moving to Server-Side GTM to offload client processing
- Flag exact files, requests, or rendering steps that add network, CPU, or layout cost
Getting started
- Have a site with a Google Tag Manager implementation to audit.
- Add the skill to your agent's available skills.
- Open DevTools, Lighthouse, or field data to measure current page performance.
- Ask the agent to audit GTM's impact and confirm the bottleneck before applying fixes.
- Apply the recommended changes, such as removing unused tags or using server-side GTM.
What this skill tells your AI
The instructions your AI receives, as published by thedaviddias/front-end-checklist in skills/gtm-present/SKILL.md and read by ahel’s review.
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/en/rules/performance/gtm-present
Signals
- GitHub stars
- 74k
- Forks
- 7k
- Last commit
- Aug 2026
Questions
- What does gtm-present check?
- It audits whether Google Tag Manager is slowing page loads, verifying the actual bottleneck in DevTools, Lighthouse, or field data before recommending changes.
- What fixes does it recommend?
- Cleaning up unused tags, reducing tags and triggers, using asynchronous loading, and considering a move to server-side GTM.
- How long does an audit take?
- The estimated time is 15 minutes.
- Where can I find full implementation details?
- The skill references a rule.md file with code examples and framework-specific guidance, plus the frontendchecklist.io rule page.
Advanced
- Item type
- skill
- Key
gtm-present- Source
- github.com/thedaviddias/front-end-checklist