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performance-optimization

Skill0 starsChanged 3 months agoMITView on GitHub

Use when optimizing performance — measure first, then profile, bundle, and fix loading or runtime. Covers Core Web Vitals targets, profiling workflows, and React/Next.js patterns.

125 other projects use a version of this.

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SKILL.md

Performance Optimization

Measure-first performance. Composite of addyosmani/agent-skills performance-optimization + web-quality/performance + vercel-labs/vercel-react-best-practices (663k).

When to use

  • Performance requirements exist or you suspect regressions
  • LCP, INP, CLS are outside thresholds or bundle is large
  • React/Next.js data fetching, bundle, or cache needs review

Workflow

  1. Measure first — Do not optimize without numbers. Collect field (CrUX/RUM) + lab (Lighthouse, trace). Record baseline: LCP, INP, CLS, bundle size, JS ≤300KB compressed.
  2. Profile — Identify the bottleneck (critical rendering path, bundle, images, fonts, server response, N+1). Use performance traces, bundle analyzer, query plan.
  3. Fix the bottleneck only — One fix at a time (code splitting, image optimization, font subsetting, caching, server response). Keep measured failures separate from hypotheses.
  4. Verify — Re-measure with same tooling. Confirm improvement at 75th percentile, no regression elsewhere.

Verification

  • Baseline measured before any optimization
  • Single bottleneck identified and fixed (not speculative batch)
  • Re-measurement shows improvement, thresholds met (LCP ≤2.5s, INP ≤200ms, CLS ≤0.1 at p75)
  • Bundle budgets respected: JS <300KB, CSS <100KB, above-fold images <500KB (compressed)

References

  • Source: addyosmani/agent-skills performance-optimization, addyosmani/web-quality-skills performance, vercel-labs/agent-skills vercel-react-best-practices

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