القائمة
Use this skill to measure performance baselines, detect regressions before/after PRs, and compare stack alternatives.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Angular playbook for internal enterprise and forms-heavy admin apps — standalone components, typed reactive forms, signals, DI services, routing, and testing. Use when the app class is internal enterprise/admin.
Astro playbook for content/marketing/mostly-static sites — islands architecture, content collections, zero-JS by default, and selective hydration. Use when the app class is content/marketing.
Relational schema design playbook — normalization, keys and identifiers, constraints, indexing, migrations, and modeling common relationships. Use when designing or evolving a database schema.
Deploy an app to Railway — build/start command detection, service config, environment variables, private networking, databases, and health checks. Use when deploying any web app or service to Railway.
React Router v7 framework mode (Remix) playbook for chat/realtime/collaborative apps — loaders/actions, nested routes, streaming, optimistic UI, and why not Next. Use when the app class is chat/realtime.
SvelteKit playbook — routing, load functions, form actions, runes-based state, adapters, and testing. A defensible deviation when bundle size and authoring ergonomics are the priority. Use when the team picks Svelte.
| name | benchmark |
| description | Use this skill to measure performance baselines, detect regressions before/after PRs, and compare stack alternatives. |
| origin | ECC |
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
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
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
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 |
Stores baselines in .ecc/benchmarks/ as JSON. Git-tracked so the team shares baselines.
/benchmark compare on every PR/canary-watch for post-deploy monitoring/browser-qa for full pre-ship checklist