performance-optimization
Optimizes application performance across frontend, backend, queries, and databases. Use when performance requirements exist, when you suspect performance regressions, when Core Web Vitals or load times need improvement, when N+1 query patterns need fixing, or when profiling reveals bottlenecks.
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performance-optimization is an agent skill that guides performance work across frontend, backend, queries, and databases. It enforces a measure-first workflow: profile, identify the bottleneck, fix known anti-patterns, re-measure to keep or revert, and guard the metric against regressions.
Reach for it when you have a load-time or latency problem and want structured, measurement-driven optimization instead of guessing.
Use it to
- Fix N+1 query patterns in data fetching
- Improve Core Web Vitals scores like LCP and INP
- Diagnose connection pool exhaustion or slow queries with query plans
- Reduce bundle size, re-renders, or unoptimized images
- Add regression guards around p95 latency and other primary metrics
For Developers using AI coding agents on performance work
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- addyosmani/agent-skills
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