benchmark
Use this skill to measure performance baselines, detect regressions before/after PRs, and compare stack alternatives.
DeepseekModel
官方收录技能
质量 优秀 · 90
v1.0.0
获取
https://deepseekmodel.com/api/download.php?id=affaan-m-ecc-skills-benchmark-skill-md&format=skill
下载 .skill
标准格式，含 system_prompt 与 model_config，导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name benchmark description Use this skill to measure performance baselines, detect regressions before/after PRs, and compare stack alternatives. license MIT metadata {"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 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
Agent 识别该技能的关键词，点击任意一个即可复制。
该技能未提供触发词。
下载的 .skill 包内含以下字段。
| 字段 | 说明 |
|---|---|
| format | 格式标识（skill/v1） |
| skill_id | 技能唯一 ID |
| name | 技能名称 |
| version | 版本号 |
| description | 技能描述 |
| category | 所属分类（数组） |
| trigger_words | 触发词列表 |
| tags | 标签列表 |
| source | 来源标识 |
| source_url | 来源链接（本页地址） |
| exported_at | 导出时间（每次下载生成） |
| system_prompt | 系统提示词正文 |
| model_config | 模型参数：provider / model / temperature / max_tokens / top_p |
| examples | 示例 |
| install_guide | 各平台导入说明（Coze / Dify / Claude / 自定义框架） |
