Benchmark

作者 affaan-mef648e01899ba3e8dc6371642deaaf64b4477775MIT275K 个星标收录于 2026年10月9日更新于 2026年10月9日仓库4天前更新

Measure performance baselines and detect regressions across browser Core Web Vitals (LCP, INP, CLS, page weight), API endpoint latency percentiles, and build/test feedback times, with before/after comparison stored in git-tracked .ecc/benchmarks JSON. Use when checking page speed, responding to 'it feels slow' reports, verifying launch performance targets, or comparing stack alternatives.

仅含说明Data & Analytics

AI 生成的概览

测量网页、API 与构建的性能基线，并通过前后对比检测性能回退。

功能: 该技能定义了四种测量模式：浏览器 Core Web Vitals 与页面体积、负载下 API 端点的延迟分位数、构建与测试反馈耗时，以及前后对比。它把基线以 JSON 形式记录在受 git 跟踪的 .ecc/benchmarks 目录中，便于团队共享。对比输出为包含指标、之前、之后、差值与结论的表格。
适用场景: 适用于在拉取请求前后衡量性能影响、为项目建立性能基线、用户反馈“感觉很慢”、上线前确认是否达到性能目标，或比较不同技术栈的场景。
运行要求: 页面测量需要浏览器 MCP，存储基线需要 git 仓库。该技能不包含脚本，仅为说明文档。

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 URL2. 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 < 800ms3. Measure resource sizes:   - Total page weight (target < 1MB)   - JS bundle size (target < 200KB gzipped)   - CSS size   - Image weight   - Third-party script weight4. Count network requests5. Check for render-blocking resources

1. Navigate to each target URL2. 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 < 800ms3. Measure resource sizes:   - Total page weight (target < 1MB)   - JS bundle size (target < 200KB gzipped)   - CSS size   - Image weight   - Third-party script weight4. Count network requests5. Check for render-blocking resources

Mode 2: API Performance

Benchmarks API endpoints:

1. Hit each endpoint 100 times2. Measure: p50, p95, p99 latency3. Track: response size, status codes4. Test under load: 10 concurrent requests5. Compare against SLA targets

1. Hit each endpoint 100 times2. Measure: p50, p95, p99 latency3. Track: response size, status codes4. Test under load: 10 concurrent requests5. Compare against SLA targets

Mode 3: Build Performance

Measures development feedback loop:

1. Cold build time2. Hot reload time (HMR)3. Test suite duration4. TypeScript check time5. Lint time6. Docker build time

1. Cold build time2. Hot reload time (HMR)3. Test suite duration4. TypeScript check time5. Lint time6. 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

/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 |

| 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

来源与署名

来源：affaan-m/ECC位于pi/core/skills/benchmark提交ef648e0

许可证： MIT

内容归原作者所有。SourceWeft 从公开仓库中收录这些内容。

举报或申请下架

Benchmark

Benchmark — Performance Baseline & Regression Detection

When to Use

How It Works

Mode 1: Page Performance

Mode 2: API Performance

Mode 3: Build Performance

Mode 4: Before/After Comparison

Output

Integration

来源与署名

更多来自 affaan-m/ECC 的技能

Unified Notifications Ops

Verification Loop

Ui To Vue

Unified Memory

Visa Doc Translate

Team Builder

更多Data & Analytics技能

Audit Xls

Comps Analysis

Audit Xls

Audit Xls

Comps Analysis

Audit Xls