Loading...
Loading...
Found 387 Skills
Guidelines for developing GraphQL APIs and React applications using Apollo Client for state management, data fetching, and caching
Use the nasdaq_candles tool to fetch OHLCV candles (free) with caching and latency metadata; good for quick charting.
Optimizing vector embeddings for RAG systems through model selection, chunking strategies, caching, and performance tuning. Use when building semantic search, RAG pipelines, or document retrieval systems that require cost-effective, high-quality embeddings.
Memcached distributed memory caching. Use for simple caching.
Expert-level Redis for caching, pub/sub, data structures, and high-performance applications
Use when caching expensive file processing results. SHA-256 content-hash keying with frozen CacheEntry and service layer wrapper.
Integrate Portkey AI Gateway into TypeScript/JavaScript applications. Use when building LLM apps with observability, caching, fallbacks, load balancing, or routing across 200+ LLM providers.
Audit and optimize OpenClaw API costs. Applies six proven optimizations — model routing, prompt caching, lean context, local heartbeats, rate limits, and workspace trimming — to cut monthly spend by up to 90%. Use when asked to reduce costs, optimize tokens, audit API spend, or configure cost-saving settings.
Apply when improving VTEX IO Node or .NET services for latency, throughput, and resilience: in-process LRU, VBase, stale-while-revalidate, AppSettings loading, request context, parallel client calls, and avoiding duplicate work. Covers application-level performance patterns that complement edge/CDN caching. Use when optimizing backends beyond route-level Cache-Control.
Guide for using MSBuild Server to improve CLI build performance. Only activate in MSBuild/.NET build context. Activate when developers report slow incremental builds from the command line, or when CLI builds are noticeably slower than IDE builds. Covers MSBUILDUSESERVER=1 environment variable for persistent server-based caching. Do not activate for IDE-based builds (Visual Studio already uses a long-lived process).
TanStack Query v5 performance optimization for data fetching, caching, mutations, and query patterns. This skill should be used when using useQuery, useMutation, queryClient, prefetch patterns, or TanStack Query caching. This skill does NOT cover generating query hooks from OpenAPI (use orval skill) or mocking API responses in tests (use test-msw skill).
Master of LLM Economic Orchestration, specialized in Google GenAI (Gemini 3), Context Caching, and High-Fidelity Token Engineering.