benchmark
OfficialUse this skill to measure performance baselines, detect regressions before/after PRs, and compare stack alternatives.
What this skill does
When applied, it prepends a system prompt before your request is sent — no extra calls and no change to how you are billed beyond the added tokens.
--- name: benchmark description: Use this skill to measure performance baselines, detect regressions before/after PRs, and compare stack alternatives. 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 | | Bu
Use this skill
Add a "skill" field with the skill’s ID to your chat completion request. It is applied server-side before your prompt is sent — no extra calls.
{
"model": "gpt-4o-mini",
"skill": "imp-748bffcd-be7b-40fe-be22-c5d389c16296",
"messages": [{ "role": "user", "content": "…" }]
}Install the skill, enable it in your dashboard and (optionally) limit it to specific models. It then applies automatically to every matching request — with no "skill" field to send each time.
Set it up in your dashboardMore skills
Delegate coding work to Codex, Claude Code, or OpenCode as background workers; not simple edits or read-only code lookup.
Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.
Search and analyze your own session logs (older/parent conversations) using jq.
Create, view, edit, delete, search, move, or export Apple Notes via the memo CLI on macOS.
Diagnose OpenClaw Android, iOS, or macOS node pairing, QR/setup code, route, auth, and connection failures.
Set up and use 1Password CLI for sign-in, desktop integration, and reading or injecting secrets.
List, add, edit, complete, or delete Apple Reminders and reminder lists via remindctl.
Create, search, and manage Bear notes via grizzly CLI.