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Found 283 Skills
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.
Guidelines for using SWR (stale-while-revalidate) React Hooks for efficient data fetching, caching, and revalidation
Query efficiency audit worker (L3). Checks redundant entity fetches, N-UPDATE/DELETE loops, unnecessary resolves, over-fetching, missing bulk operations, wrong caching scope. Returns findings with severity, location, effort, recommendations.
Guide to building offline-first Capacitor apps with data synchronization, caching strategies, and conflict resolution. Covers SQLite, service workers, and network detection. Use this skill when users need their app to work without internet.
PostgreSQL + Redis database design patterns. Use for data modeling, indexing, caching strategies. Covers JSONB, tiered storage, cache consistency.
Progressive Web App development guidelines covering service workers, caching strategies, offline functionality, and installability
Guidelines for ASP.NET Core web development covering API design, authentication, caching, and best practices
Guide for implementing Turborepo - a high-performance build system for JavaScript and TypeScript monorepos. Use when setting up monorepos, optimizing build performance, implementing task pipelines, configuring caching strategies, or orchestrating tasks across multiple packages.
Optimize web performance: Core Web Vitals (LCP, CLS, INP), bundle size, images, caching. Use when site is slow, optimizing for Lighthouse scores, reducing bundle size, fixing layout shifts, or improving Time to Interactive. Triggers on: web performance, Core Web Vitals, LCP, CLS, INP, FID, bundle size, page speed, slow site.
Expert-level Redis for caching, pub/sub, data structures, and high-performance applications
Deploy production recommendation systems with feature stores, caching, A/B testing. Use for personalization APIs, low latency serving, or encountering cache invalidation, experiment tracking, quality monitoring issues.
When designing distributed systems for scalability, reliability, and consistency. Covers CAP/PACELC theorems, consistency models (strong, eventual, causal), replication patterns (leader-follower, multi-leader, leaderless), partitioning strategies (hash, range, geographic), transaction patterns (saga, event sourcing, CQRS), resilience patterns (circuit breaker, bulkhead), service discovery, and caching strategies for building fault-tolerant distributed architectures.