benchmark
Use this skill to measure performance baselines, detect regressions before/after PRs, and compare stack alternatives.
Best for Frontend teams monitoring C…Works with GitHubLow risk
⌘source
- author
@affaan-m- language
- JavaScript
★159kstars
25kforks
Apr 17, 2026
✦overview.md
Key Features
- ·Measures Core Web Vitals like LCP, CLS, and INP
- ·Benchmarks API endpoint latency (p50, p95, p99)
- ·Tracks build and hot reload times
- ·Compares performance before and after code changes
- ·Checks resource sizes and network request counts
- ·Tests under load with concurrent requests
Use Cases
- →Measuring performance impact of a pull request before merging
- →Establishing performance baselines for a new project
- →Investigating user reports of slow page loads
- →Validating performance targets before a product launch
- →Comparing the performance of different technology stacks
Best for
- ✓Frontend teams monitoring Core Web Vitals
- ✓Backend teams ensuring API SLAs
- ✓DevOps engineers tracking build pipeline efficiency
Not ideal for
- !Profiling deep application logic or memory usage
- !Synthetic monitoring from global locations
FAQs
name
benchmark
description
Use this skill to measure performance baselines, detect regressions before/after PRs, and compare stack alternatives.
origin:ECC
Benchmark — Performance Baseline & Regression Detection
When to Use
- Before and after a PR to measure performance impact
- Setting up performance baselines for a project
- When users report "it feels slow"
- Before a launch — ensure you meet performance targets
- Comparing your stack against alternatives
How It Works
Mode 1: Page Performance
Measures real browser metrics via browser MCP:
1. Navigate to each target URL
2. Measure Core Web Vitals:
- LCP (Largest Contentful Paint) — target < 2.5s
- CLS (Cumulative Layout Shift) — target < 0.1
- INP (Interaction to Next Paint) — target < 200ms
- FCP (First Contentful Paint) — target < 1.8s
- TTFB (Time to First Byte) — target < 800ms
3. Measure resource sizes:
- Total page weight (target < 1MB)
- JS bundle size (target < 200KB gzipped)
- CSS size
- Image weight
- Third-party script weight
4. Count network requests
5. Check for render-blocking resources
Mode 2: API Performance
Benchmarks API endpoints:
1. Hit each endpoint 100 times
2. Measure: p50, p95, p99 latency
3. Track: response size, status codes
4. Test under load: 10 concurrent requests
$install
1-click copynpx skills add affaan-m/everything-claude-code --skill benchmarkSafety assessment
★
Clarity score
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5/ 5
excellentVery clear and well structured, with almost no room for misunderstanding.
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5/ 5
very highHighly actionable with clear, concrete steps that an agent can follow directly.