Agent-Skills.md

Agent Skills: Performance Optimization

Performance analysis, optimization techniques, and performance testing for web applications. Covers profiling, bottleneck identification, frontend optimization (bundle size, rendering, Core Web Vitals), backend optimization (query optimization, caching, async patterns), load testing (k6, Artillery), and monitoring (performance budgets, SLIs). Use this skill when analyzing performance issues, optimizing slow pages or APIs, setting up load testing, implementing caching, reducing bundle sizes, or establishing performance budgets. Triggers on "performance", "slow", "optimize", "bundle size", "load testing", "cache", "bottleneck", "latency", "Core Web Vitals", "LCP", "FCP", "lighthouse", "profiling".

UncategorizedID: srstomp/pokayokay/performance-optimization

Repository

srstomp/pokayokay
srstomp
2

Install this agent skill to your local

pnpm dlx add-skill https://github.com/srstomp/pokayokay/tree/HEAD/plugins/pokayokay/skills/performance-optimization

Skill Files

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plugins/pokayokay/skills/performance-optimization/SKILL.md

Skill Metadata

Name
performance-optimization
Description
Use when analyzing performance issues, optimizing slow pages or APIs, setting up load testing (k6, Artillery), implementing caching, reducing bundle sizes, establishing performance budgets, or profiling bottlenecks. Covers frontend (Core Web Vitals, rendering, bundle size) and backend (query optimization, caching, async patterns) optimization.

Performance Optimization

Systematic approach to identifying and fixing performance bottlenecks.

Key Principles

  • Measure first — Never optimize without data; establish baseline metrics
  • Identify bottleneck type — Network, CPU, memory, I/O, or rendering
  • One change at a time — Apply targeted fix, re-measure, compare against baseline
  • Quick wins first — Check compression, caching, indexes, N+1 queries before deep optimization

Core Web Vitals Targets

| Metric | Good | Poor | |--------|------|------| | LCP (Largest Contentful Paint) | < 2.5s | > 4.0s | | INP (Interaction to Next Paint) | < 200ms | > 500ms | | CLS (Cumulative Layout Shift) | < 0.1 | > 0.25 |

Quick Start Checklist

  1. Measure baseline (Lighthouse, RUM data, or APM)
  2. Identify bottleneck type: network, CPU, memory, I/O, or rendering
  3. Check quick wins: compression, caching headers, indexes, N+1 queries
  4. Read relevant reference for deep optimization
  5. Apply fix, re-measure, validate improvement
  6. Set performance budgets and enforce in CI

References

| Reference | Description | |-----------|-------------| | frontend-perf.md | Bundle analysis, rendering, Core Web Vitals | | backend-perf.md | Query optimization, caching, async patterns | | load-testing.md | k6, Artillery patterns, CI integration | | profiling-guide.md | Chrome DevTools, Node profiling, flame graphs |