benchmark
Use this skill to measure performance baselines, detect regressions before/after PRs, and compare stack alternatives.
Skill by unrealandychan
Install
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/unrealandychan-benchmark
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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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 (1)
- 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 unrealandychan/clean-code-skill, MIT.
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Signals
- Stars
- 12
- Forks
- 1
- Open issues
- 0
- Last commit (this folder)
- Sep 8, 2026 (1 month ago)
- Last release
- Apr 17, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Garbage collection for your Claude Code configuration.
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Create CodeTour `.tour` files — persona-targeted, step-by-step walkthroughs with real file and line anchors.
SkillBFreshness: B★ 12Claude Code +9 - 0.594score
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Analyze an unfamiliar codebase and generate a structured onboarding guide with architecture map, key entry points, conventions, and a starter CLAUDE.md.
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SkillBFreshness: B★ 12Claude Code +9 - 0.594score
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Performs rigorous 5-axis code reviews across Correctness, Readability, Architecture, Security, and Performance.
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Cite this page
benchmark skill. Agent Mart. https://agentmart.dev/skills/unrealandychan-benchmark (last updated 2026-10-24)