performance▌

Identifies and eliminates performance bottlenecks in Flutter apps through systematic profiling and targeted optimization. \n \n Provides a decision tree to diagnose jank on UI thread, Raster (GPU) thread, or both, with specific fixes for each \n Includes integration test templates using traceAction and TimelineSummary to establish performance baselines and measure frame budgets \n Covers UI optimization (localizing state, const constructors, StringBuffer usage) and Raster optimization (replacing

Profile and optimize Python code using cProfile, memory profilers, and performance best practices. \n \n Covers CPU profiling with cProfile, line-by-line profiling with line_profiler, memory tracking with memory_profiler, and production profiling with py-spy \n Includes 20+ optimization patterns: list comprehensions, generators, string concatenation, dictionary lookups, NumPy vectorization, caching, multiprocessing, and async I/O \n Provides database optimization techniques including batch opera

Comprehensive performance optimization guide for Expo React Native applications. Contains 42 rules across 8 categories, prioritized by impact to guide automated refactoring and code generation.

Comprehensive Next.js performance optimization covering Core Web Vitals, modern React patterns, and production-grade techniques. \n \n Covers Core Web Vitals optimization (LCP, INP, CLS), image/font optimization with next/image and next/font , and caching strategies using unstable_cache and revalidateTag \n Guides conversion of Client Components to Server Components, implementation of Suspense streaming for progressive loading, and bundle size reduction through code splitting \n Includes Next.js

Scan C#/.NET code for performance anti-patterns and produce prioritized findings with concrete fixes. Patterns sourced from the official .NET performance blog series, distilled to customer-actionable guidance.

Caches configuration phase across builds (AGP 8.0+):

Diagnose and fix performance bottlenecks across React frontends and database backends. \n \n Covers frontend optimization: React.memo, useMemo, useCallback, lazy loading, code splitting, image optimization, and bundle analysis \n Includes backend strategies: N+1 query fixes, database indexing, Redis caching, and API compression \n Provides measurement tools and workflows using Lighthouse, Web Vitals, and webpack-bundle-analyzer \n Emphasizes profiling first, incremental improvements, and continu

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Tests in real browsers using Chrome DevTools MCP for debugging and inspecting web applications.

'Astro-specific performance optimizations for 95+ Lighthouse scores. Covers critical CSS inlining, compression, font loading, and LCP optimization. Use when optimizing Astro site performance, improving Astro Lighthouse scores, or configuring astro-critters. Do NOT use for non-Astro sites (use perf-web-optimization or core-web-vitals) or running Lighthouse audits (use perf-lighthouse).'