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Benchmark

affaan-m/everything-claude-code

Spins up performance measurements across pages, APIs, and builds, then tracks them in .ecc/benchmarks so your team shares baselines. You run it before and after a PR to catch regressions, or when someone says "it feels slow" and you need numbers. It'll measure Core Web Vitals, API latency percentiles, build times, bundle sizes, the works. The before/after comparison mode is the real draw here: it shows you exactly what got faster or slower in a table with deltas. Honest take: most teams skip this until performance is already a problem. Running it in CI from day one means you never have to guess which commit made the homepage load like molasses.

installs
4K
GitHub stars
229.1K
last updated
Jul 14, 2026
View on GitHubSave

Install

$ npx -y skills add affaan-m/everything-claude-code --skill benchmark --agent claude-code

Installs into .claude/skills of the current project.

Files

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
5. Compare against SLA targets

Mode 3: Build Performance

Measures development feedback loop:

1. Cold build time
2. Hot reload time (HMR)
3. Test suite duration
4. TypeScript check time
5. Lint time
6. Docker build time

Mode 4: Before/After Comparison

Run before and after a change to measure impact:

/benchmark baseline    # saves current metrics
# ... make changes ...
/benchmark compare     # compares against baseline

Output:

| Metric | Before | After | Delta | Verdict |
|--------|--------|-------|-------|---------|
| LCP | 1.2s | 1.4s | +200ms | WARNING: WARN |
| Bundle | 180KB | 175KB | -5KB | ✓ BETTER |
| Build | 12s | 14s | +2s | WARNING: WARN |

Output

Stores baselines in .ecc/benchmarks/ as JSON. Git-tracked so the team shares baselines.

Integration

  • CI: run /benchmark compare on every PR
  • Pair with /canary-watch for post-deploy monitoring
  • Pair with /browser-qa for full pre-ship checklist
SKILL.md on GitHub

Sponsors

SnugThe clipboard manager you and your agent can use, safelyAgent CaffeineClose your lid, come back to finished workWaxBlock anything with supervision, without erasing your iPhoneOpen StepsSponsoredFree and open-source skills that make AI coding agents easier to understand, verify, and control.

Details

Repository
github.com/affaan-m/everything-claude-code
First seen
Apr 16, 2026

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