Caching patterns, TTL management, eviction policies for Redis implementations. Use when implementing cache-aside, write-through, write-back patterns, TTL management, or cache invalidation strategies.
Enforces project caching conventions when implementing cache layers using React cache(), Next.js unstable_cache, Upstash Redis, and Cloudinary. This skill ensures consistent patterns for cache keys, tags, TTL configuration, cache invalidation, and domain-specific CacheService helpers.
Create MongoDB repository implementation for production database. Use when implementing repository interface with MongoDB, setting up document mapping, creating indexes, or connecting to real database. Triggers on "mongodb repository", "mongo repository", "production repository", "database repository".
Multi-layer caching strategies across CDN, browser, server, and database. PROACTIVELY activate for: (1) HTTP caching headers, (2) CDN configuration, (3) Server-side caching with Redis, (4) Cache invalidation strategies, (5) ETag implementation. Triggers: "caching", "cache strategy", "CDN", "browser cache", "server cache", "redis", "cache invalidation", "ETag", "Cache-Control"
Dexie IndexedDB caching layer with Convex sync for local-first architecture. Covers sync hooks, optimistic updates (React state only), cascade deletes, orphan detection, SSR safety. Triggers on "cache", "dexie", "useCacheSync", "optimistic", "offline", "IndexedDB".
bmorphism's GitHub stars (2155 repos) and created repos - a curated index
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.
Django Redis caching with django-cacheops. This skill should be used when implementing caching, adding cache invalidation, optimizing API performance, modifying models that affect cached data, or debugging cache-related issues in the Django backend.
Storage backends and indexing for vector databases in Elixir. Use when choosing persistence, implementing exact vs approximate k-NN, or integrating pgvector, file, or ETS for vector storage.
Expert patterns for advanced queries, Redis caching, and database scalability.
Testcontainers NoSQL 整合測試完整指南。涵蓋 MongoDB 文件操作、Redis 五種資料結構、Collection Fixture 模式。包含 BSON 序列化、索引效能測試、資料隔離策略與容器生命週期管理。 Keywords: testcontainers mongodb, testcontainers redis, mongodb integration test, redis integration test, nosql testing, MongoDbContainer, RedisContainer, IMongoDatabase, IConnectionMultiplexer, BSON serialization, BsonDocument, 文件模型測試, 快取測試, Collection Fixture
Search indexed reference codebases (Convex, Expo, Next.js, Better Auth, Remotion, etc) via the qmd MCP query tool. Use when looking up framework APIs, finding code examples in third-party repos, or answering questions about external libraries that aren't in the current working directory.
Deep expertise in Logseq's Datascript database schema. Auto-invokes when users ask about Logseq DB schema, Datascript attributes, built-in classes, property types, entity relationships, schema validation, or the node/block/page data model. Provides authoritative knowledge of the DB graph architecture.
Design and implement a vector database in Elixir. Use when building embedding storage, similarity search, k-NN retrieval, or when the user mentions vector DB, embeddings, or semantic search in Elixir.
Database indexing strategies and query optimization. Use when user asks to "optimize queries", "create indexes", "database performance", "query analysis", "explain plans", "index selection", "slow queries", "database tuning", "schema optimization", or mentions database performance and query optimization.
Elixir patterns for vector storage and similarity search. Use when implementing GenServer-based vector store, ETS index, Nx/Scholar distance math, or supervision for a vector DB in Elixir.
Episodic Memory Archiver. Stores full conversation transcripts with embeddings and analysis into ArangoDB. Tracks UNRESOLVED sessions for reflection.
