A structured mental model for performance work that emphasizes measure-first discipline. You get a clear four-step workflow (baseline, identify, fix, validate), Core Web Vitals targets with actual thresholds, and decision tables for picking the right profiling tool based on symptoms. The bundle analysis and runtime profiling sections are especially practical, showing you what patterns to look for and what actions to take. It includes a Lighthouse audit script you can run immediately. The anti-patterns section is refreshingly honest: profile before guessing, fix the biggest issue first, don't optimize prematurely. Best used when you need to stop guessing and start measuring systematically.

skills.sh installs
893
GitHub stars
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last updated
Jul 14, 2026

Install

$ npx -y skills add sickn33/antigravity-awesome-skills --skill performance-profiling --agent claude-code

Installs into .claude/skills of the current project.

Files

Performance Profiling

Measure, analyze, optimize - in that order.

🔧 Runtime Scripts

Inspect this bundled helper as code before use and run only against an authorized URL. Lighthouse launches a browser and can load third-party resources; lab scores do not establish field Core Web Vitals. The helper reports command/JSON failures and unavailable scores separately; inspect the returned error and do not treat an unavailable category as a zero score.

ScriptPurposeUsage
scripts/lighthouse_audit.pyLighthouse performance auditpython scripts/lighthouse_audit.py https://example.com

1. Core Web Vitals

Targets

MetricGoodPoorMeasures
LCP< 2.5s> 4.0sLoading
INP< 200ms> 500msInteractivity
CLS< 0.1> 0.25Stability

When to Measure

StageTool
DevelopmentLocal Lighthouse
CI/CDLighthouse CI
ProductionRUM (Real User Monitoring)

2. Profiling Workflow

The 4-Step Process

Sponsors

Details

Repository
github.com/sickn33/antigravity-awesome-skills
Category
Debugging
First seen
Apr 16, 2026

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