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benchmark

Use this skill to measure performance baselines, detect regressions before/after PRs, and compare stack alternatives.

Skill by nguyentrunghieutcu

IndexedMIT★ 19
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/nguyentrunghieutcu-benchmark

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About

Use this skill to measure performance baselines, detect regressions before/after PRs, and compare stack alternatives.

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What's inside

Skill name
benchmark
Description
Use this skill to measure performance baselines, detect regressions before/after PRs, and compare stack alternatives.
License
MIT
Metadata
origin: ECC
Instructions
89 lines in SKILL.md · view on GitHub

Files (2)

  • LICENSE.ecc
  • SKILL.md

SKILL.md (first lines)

# 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

From nguyentrunghieutcu/ctxora-engine, MIT.

More from nguyentrunghieutcu/ctxora-engine

Signals

Stars
19
Forks
3
Open issues
1
Last commit (this folder)
Sep 8, 2026 (1 month ago)
Last release
Sep 22, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

benchmark skill. Agent Mart. https://agentmart.dev/skills/nguyentrunghieutcu-benchmark (last updated 2026-10-24)