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Found 54 Skills
Advanced Next.js patterns - middleware, Server Actions, caching with Clerk.
Activate when developers have latent caching needs: slow API responses, database read bottlenecks, DynamoDB throttling or cost, RDS/Aurora scaling pressure, Bedrock latency or cost, or adding a cache; activate when working with Redis, Valkey, Memcached, or any in-memory data store, cache-aside patterns, session stores, rate limiting, leaderboards, counters, streams, queues, pub/sub, distributed locks, feature flags, shopping carts, or other caching strategies. Activate for GenAI and ML retrieval: vector similarity search for low-latency retrieval, semantic caching, RAG, LLM response caching, embedding stores, AI agent memory, recommendation, personalization. Activate for ElastiCache lifecycle: provisioning (serverless or node-based), engine selection, CloudFormation/CDK/Terraform IaC, VPC connectivity, TLS, RBAC, IAM auth, Global Datastore, monitoring, troubleshooting, cost optimization, and migration from self-managed Redis. Do not trigger for browser caches, CDN/CloudFront, HTTP Cache-Control, CPU caches.
Master C#/.NET backend development patterns for building robust APIs, MCP servers, and enterprise applications. Covers async/await, dependency injection, Entity Framework Core, Dapper, configuration, caching, and testing with xUnit. Use when developing .NET backends, reviewing C# code, or designing API architectures.
TanStack Query (React Query) best practices for data fetching, caching, mutations, and server state management. Activate when building data-driven React applications with server state.
Advanced WordPress development with REST API endpoints, WP-CLI commands, performance optimization, and caching strategies for scalable applications.
Diagnose, fix, and optimize GitHub Actions workflows for Rust projects. Use when setting up CI/CD, troubleshooting workflow failures, optimizing build times, or ensuring best practices.
Build GitLab CI/CD pipelines with multi-stage workflows, caching, and distributed runners for scalable automation. Use when implementing GitLab CI/CD, optimizing pipeline performance, or setting up automated testing and deployment.
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.
Optimize web performance through network protocols, resource loading, and browser rendering internals. Use when the user mentions "page load speed", "Core Web Vitals", "HTTP/2", "resource hints", "network latency", or "render blocking". Covers TCP/TLS optimization, caching strategies, WebSocket/SSE, and protocol selection. For UI visual performance, see refactoring-ui. For font loading, see web-typography.
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.
Integrate Redis-compatible Vercel KV for caching, session management, and rate limiting in Next.js. Powered by Upstash with strong consistency and TTL support. Use when implementing cache strategies, rate limiters, or troubleshooting environment variables, serialization errors, rate limit issues, scanIterator hangs, or Next.js cache stale reads.
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.