performance▌

Top-level workflow skill for USD performance diagnosis and optimization. Use for slow loading, high memory, low FPS, or 'optimize my scene' requests; delegates auth/runtime setup to Phase 0 owners.

'Optimize web performance: bundle size, images, caching, lazy loading, and overall page speed. Use when site is slow, reducing bundle size, fixing layout shifts, improving Time to Interactive, or optimizing for Lighthouse scores. Triggers on: web performance, bundle size, page speed, slow site, lazy loading. Do NOT use for Core Web Vitals-specific fixes (use core-web-vitals), running Lighthouse audits (use perf-lighthouse), or Astro-specific optimization (use perf-astro).'

Optimize Core Web Vitals (LCP, INP, CLS) for better page experience and search ranking. Use when asked to "improve Core Web Vitals", "fix LCP", "reduce CLS", "optimize INP", "page experience optimization", or "fix layout shifts". Focuses specifically on the three Core Web Vitals metrics. Do NOT use for general web performance (use perf-web-optimization), Lighthouse audits (use perf-lighthouse), or Astro-specific optimization (use perf-astro).

Optimizes application performance by identifying and fixing bottlenecks based on profiling data.

Conducts multi-axis code review to assess code quality across correctness, readability, architecture, security, and performance before merging changes.

Safe read-only PostgreSQL audit workflow using https://postgresaudit.com/ for least-privilege setup, report interpretation, and remediation planning.

nextjs15-performance

Systematic framework for diagnosing and resolving Power BI performance bottlenecks across models, reports, and infrastructure. \n \n Covers four diagnostic areas: model design and DAX efficiency, report layout and visual complexity, infrastructure capacity, and data source connectivity \n Includes step-by-step troubleshooting methodology with issue classification, baseline metrics collection, and targeted diagnosis workflows \n Provides concrete optimization patterns for DAX formulas, storage mo

Performance regressions occur when code changes degrade application performance. Detection and quick resolution are critical.

Systematic Xcode build performance analysis and optimization. Core principle: Measure before optimizing, then optimize the critical path first.