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Found 53 Skills
Master JPA/Hibernate - entity design, queries, transactions, performance optimization
Explains state management in web applications including client state, server state, URL state, and caching strategies. Use when discussing where to store state, choosing between local and global state, or implementing data fetching patterns.
Implement Progressive Web App features for React and Svelte projects. This skill should be used when the user asks to 'make a PWA', 'add offline support', 'create a service worker', 'fix caching issues', or wants installable web apps. Keywords: PWA, service worker, offline, manifest, caching, installable, Workbox, vite-pwa.
Expert Next.js performance optimization skill covering Core Web Vitals, image/font optimization, caching strategies, streaming, bundle optimization, and Server Components best practices. Use when optimizing Next.js applications for Core Web Vitals (LCP, INP, CLS), implementing next/image and next/font, configuring caching with unstable_cache and revalidateTag, converting Client Components to Server Components, implementing Suspense streaming, or analyzing and reducing bundle size. Supports Next.js 16 + React 19 patterns.
Next.js 14+ App Router best practices including Server Components, data fetching, caching, and Vercel optimization patterns. Use for Next.js development with waterfall prevention, bundle optimization, and server actions.
Explains data fetching strategies including fetch on render, fetch then render, render as you fetch, and server-side data fetching. Use when implementing data loading, optimizing loading performance, or choosing between client and server data fetching.
Guides users through setting up Tauri GitHub Actions CI/CD pipelines and workflows for automated building, testing, and releasing cross-platform desktop applications.
Progressive Web App development guidelines covering service workers, caching strategies, offline functionality, and installability
ML inference latency optimization, model compression, distillation, caching strategies, and edge deployment patterns. Use when optimizing inference performance, reducing model size, or deploying ML at the edge.
Optimize web application performance using code splitting, lazy loading, caching, compression, and monitoring. Use when improving Core Web Vitals and user experience.
Redis database expert for caching, data structures, Pub/Sub, Streams, Lua scripting, and performance optimization using Bun.redis native client. Use when working with Redis, caching strategies, key-value stores, real-time data, vector search, or document databases. Works alongside bun-expert skill.
Apply quantization to reduce memory by 4-32x. Enable HNSW indexing for 150x faster search. Configure caching strategies and implement batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors. Deploy these optimizations to achieve 12,500x performance gains.