Automate caching operations across in-memory and Redis backends.
npx skills add https://github.com/hai-series/hai-framework --skill hai-cache
Please help me install this Agent Skill. Skill: hai-cache Source: https://github.com/hai-series/hai-framework/tree/main/packages/cli/templates/skills/hai-cache Command: npx skills add https://github.com/hai-series/hai-framework --skill hai-cache
使用 @h-ai/cache 提供统一的内存和 Redis 缓存能力，涵盖 KV、Hash、List、Set、ZSet 以及分布式锁等场景，帮助提升缓存一致性与性能。
通过初始化 cache 模块并配置缓存类型、TTL 与分布式锁，开始使用 hai-cache 的 KV、Hash、List、Set、ZSet 接口以提升应用性能。
High-intent search queries and answers about installing and using this skill.
Distributed locks in Redis are automated through a unified API that manages lock acquisition and release safely across multi-node environments. This ensures predictable concurrency control for distributed applications without manual lock handling.
A unified API supports both in-memory and Redis caching backends seamlessly. It provides init, use, and close lifecycle management with configuration validation, ensuring safe and predictable caching behavior across pluggable backends.
KV, Hash, List, Set, and ZSet operations are fully supported for advanced caching scenarios. These structures enable complex use cases like set operations, leaderboards, and TTL management within a single unified interface.
Cache TTL and expiration policies are managed automatically through the unified caching layer. The system handles TTL configuration, persistence strategies, and expiration to maintain cache consistency and optimize data access performance.
Cache penetration protection is integrated using IAM patterns and related cache strategies. This combination enhances data access speed and system robustness by preventing invalid queries from overwhelming the backend data stores.
CrestAppsConfigure Orchard Core response compression, dynamic shape caching, distributed caching, and cache invalidation.
nimadorostkarImplement caching strategies with TTL selection and stampede protection for distributed systems.
IndustrialImplement distributed tracing across microservices with Jaeger and Tempo.
acejou27Provides fast in-memory caching and data operations for applications.
