Loading...
Loading...
Found 9 Skills
Implement query caching strategies to improve performance. Use when setting up caching layers, configuring Redis, or optimizing database query response times.
Implement multi-layer caching with Redis, in-memory, and HTTP caching. Covers cache invalidation, stampede prevention, and cache-aside patterns.
Spring Data Redis for caching, session storage, and data persistence. Covers RedisTemplate, @Cacheable, repositories, pub/sub, and distributed locks. USE WHEN: user mentions "spring data redis", "RedisTemplate", "@Cacheable", "Spring Boot caching", "@RedisHash", "spring session redis", "distributed lock Spring" DO NOT USE FOR: raw Redis commands - use `redis` instead, non-Spring Redis clients - use `redis` instead
Database specialist covering PostgreSQL, MongoDB, Redis, Oracle, and advanced data patterns for modern applications. Use when user asks about database schema design, query optimization, indexing strategies, data modeling, migrations, ORM configuration, or database performance tuning. Do NOT use for API design or server-side business logic (use moai-domain-backend instead).
Implements Redis caching, session management, and distributed coordination for the Sorcha platform. Use when: Adding caching layers, token revocation, rate limiting, SignalR backplane, or distributed state.
Implement a permanent cache-first strategy: check cache before hitting the DB, write to cache on first read, invalidate only when data changes. No TTL timeouts. Modeled on Play Framework's cache model. Use when asked to "add caching", "implement cache strategy", "cache DB results", or "reduce DB load".
Optimize Evernote integration performance. Use when improving response times, reducing API calls, or scaling Evernote integrations. Trigger with phrases like "evernote performance", "optimize evernote", "evernote speed", "evernote caching".
Defines caching strategies with cache keys, TTL values, invalidation triggers, consistency patterns, and correctness checklist. Provides code examples for Redis, CDN, and application-level caching. Use when implementing "caching", "performance optimization", "cache strategy", or "Redis caching".
Core Redis modeling guidance — choose the right data structure (String, Hash, List, Set, Sorted Set, JSON, Stream, Vector Set) and use consistent colon-separated key names. Use when designing a Redis data model, caching objects, deciding between Hash and JSON, building counters, leaderboards, membership sets, or session stores, or when reviewing/cleaning up Redis key naming.