Unify in-memory LRU, disk cache, and @PreferenceWrapper KV storage.
npx skills add https://github.com/NBXXF/xxf_ios --skill xxf-cache
Please help me install this Agent Skill. Skill: xxf-cache Source: https://github.com/NBXXF/xxf_ios/tree/main/skills/xxf-cache Command: npx skills add https://github.com/NBXXF/xxf_ios --skill xxf-cache
为应用提供一个统一的缓存层，整合内存缓存、磁盘缓存和声明式 KV 存储，简化缓存策略并提升性能和一致性。
使用提供的 API 声明缓存并根据业务场景选用内存、磁盘或 KV 存储，快速集成到应用中。
High-intent search queries and answers about installing and using this skill.
Memory LRU and disk caching differ by storage location and eviction strategy. Memory LRU keeps recently accessed data in RAM for fast retrieval, while disk cache persists data to storage, ensuring data availability across sessions for network response caching.
Yes, you can use PreferenceWrapper KV storage for short-lived session data. It provides a standardized KV integration that ensures deterministic behavior and fast access for temporary session information alongside memory and disk caches.
You should use disk cache instead of memory LRU when you need data persistence across app restarts. Disk cache stores data permanently on the device, whereas memory LRU cache is volatile and clears when the app terminates, suitable for short-lived data.
Yes, the unified cache works with XXFHttp for network response caching. It coordinates with modules like XXFHttp and PreferenceWrapper to form an end-to-end caching solution, accelerating data retrieval and ensuring consistency.
cameronapakConfigure BKND production deployment with security and environment settings.
recca0120Configure MSW v2 handlers to mock HTTP APIs in Vitest.
kibertoadAutomate data fetching and mutation with API contracts, typed HTTP client, and React Query.
PolicyEngineCache policyengine.py simulation results and map data across entities.
