caching-learn
Guides caching strategy selection and implementation across the full stack including HTTP caching, application-level caching (Redis, in-memory), frontend data caching (SWR, TanStack Query), LLM response caching (prompt caching, semantic caching), database query caching, cache invalidation patterns, and distributed cache architectures. Covers cache-aside, read-through, write-through, write-behind patterns, eviction policies (LRU/LFU), and agentic workflow caching considerations. Use when adding caching to an application, choosing a caching strategy, debugging stale data, optimizing API response times, reducing LLM costs, or designing distributed cache topologies. Triggers: cache, caching, Redis, CDN, TTL, cache invalidation, stale data, Cache-Control, ETag, SWR, TanStack Query, prompt caching, semantic cache, LRU, write-through, cache-aside, materialized view.
Installation and usage
Guides caching strategy selection and implementation across the full stack including HTTP caching, application-level caching (Redis, in-memory), frontend data caching (SWR, TanStack Query), LLM response caching (prompt caching, semantic caching), database query caching, cache invalidation patterns, and distributed cache architectures. Covers cache-aside, read-through, write-through, write-behind patterns, eviction policies (LRU/LFU), and agentic workflow caching considerations. Use when adding caching to an application, choosing a caching strategy, debugging stale data, optimizing API response times, reducing LLM costs, or designing distributed cache topologies. Triggers: cache, caching, Redis, CDN, TTL, cache invalidation, stale data, Cache-Control, ETag, SWR, TanStack Query, prompt caching, semantic cache, LRU, write-through, cache-aside, materialized view.
После установки вы можете использовать этот skill, выполнив следующую команду в терминале:
skills use caching-learn