Use when setting up MongoDB database services in a Pikku app. Covers PikkuMongoDB connection, channel stores, workflow services, secret services, AI storage, agent runs, and deployment services. TRIGGER when: code uses PikkuMongoDB, MongoDBChannelStore, MongoDBWorkflowService, MongoDBSecretService, or user asks about MongoDB setup with Pikku. DO NOT TRIGGER when: user asks about SQL databases (use pikku-kysely) or Redis (use pikku-redis).
Store and query vector embeddings using ChromaDB at {{CHROMADB_HOST}}:{{CHROMADB_PORT}}.
Set up and configure Torii indexer for GraphQL queries, gRPC subscriptions, and SQL access. Use when indexing your deployed world for client queries or real-time updates.
Redis expert for caching, pub/sub, data structures, and distributed systems patternsUse when "redis, caching strategy, cache invalidation, pub/sub, rate limiting, distributed lock, session storage, leaderboard, message queue, upstash, redis, caching, pub-sub, session, rate-limiting, distributed-lock, upstash, elasticache, memorystore" mentioned.
Expert guidance on using Valkey and Redis with Swift. Use when developers mention: (1) Valkey or Redis in Swift, (2) valkey-swift library, (3) RESP protocol or RESP3, (4) Redis cluster routing or hash slots, (5) pub/sub or subscriptions, (6) Redis transactions or MULTI/EXEC, (7) caching with Redis.
Expert patterns for Algolia search implementation, indexing strategies, React InstantSearch, and relevance tuningUse when "adding search to, algolia, instantsearch, search api, search functionality, typeahead, autocomplete search, faceted search, search index, search as you type, algolia, search, instantsearch, indexing, relevance, faceted-search, autocomplete" mentioned.
World-class caching strategies - cache invalidation, Redis patterns, CDN caching, and the battle scars from cache bugs that served stale data for hoursUse when "cache, caching, redis, memcached, cdn, ttl, invalidation, stale, cache aside, write through, cache stampede, thundering herd, cache warming, etag, cache-control, caching, redis, memcached, cdn, performance, http-cache, ttl, invalidation" mentioned.
Comprehensive guide for managing vector databases including Pinecone, Weaviate, and Chroma for semantic search, RAG systems, and similarity-based applications
Vector database selection, embedding storage, approximate nearest neighbor (ANN) algorithms, and vector search optimization. Use when choosing vector stores, designing semantic search, or optimizing similarity search performance.
Comprehensive guide for Redis state management including caching strategies, session management, pub/sub patterns, distributed locks, and data structures
Alibaba Cloud Elasticsearch Instance Management Skill. Use for creating, querying, listing, restarting, and upgrading/downgrading Elasticsearch instances on Alibaba Cloud. Triggers: "elasticsearch", "ES instance", "elasticsearch instance", "create ES", "query ES instance", "restart ES", "ES node", "cluster node", "upgrade ES", "downgrade ES", "scale ES", "resize ES"
Build Azure Cosmos DB NoSQL services with Python/FastAPI following production-grade patterns. Use when implementing database client setup with dual auth (DefaultAzureCredential + emulator), service layer classes with CRUD operations, partition key strategies, parameterized queries, or TDD patterns for Cosmos. Triggers on phrases like "Cosmos DB", "NoSQL database", "document store", "add persistence", "database service layer", or "Python Cosmos SDK".
sqlite-vec extension for vector similarity search in SQLite. Use when storing embeddings, performing KNN queries, or building semantic search features. Triggers on sqlite-vec, vec0, MATCH, vec_distance, partition key, float[N], int8[N], bit[N], serialize_float32, serialize_int8, vec_f32, vec_int8, vec_bit, vec_normalize, vec_quantize_binary, distance_metric, metadata columns, auxiliary columns.
JSON semi-indexing implementation details and patterns. Use when working on JSON parsing, semi-index construction, or cursor navigation. Triggers on terms like "JSON index", "semi-index", "interest bits", "balanced parentheses", "JSON cursor".
Firebase Firestore NoSQL patterns, real-time sync ve security rules rehberi.
Redis caching stratejileri, Pub/Sub ve veri yapıları (Streams, Lists, Hashes).
Redis performance optimization and best practices. Use this skill when working with Redis data structures, Redis Query Engine (RQE), vector search with RedisVL, semantic caching with LangCache, or optimizing Redis performance.
Comprehensive caching strategies and patterns for performance optimization. Use when implementing cache layers, cache invalidation, TTL policies, or distributed caching. Covers Redis/Memcached patterns, CDN caching, database query caching, ML model caching, and eviction policies. Triggers: cache, caching, Redis, Memcached, CDN, TTL, invalidation, eviction, LRU, LFU, FIFO, write-through, write-behind, cache-aside, read-through, cache stampede, distributed cache, local cache, memoization, query cache, result cache, edge cache, browser cache, HTTP cache.
Connect to local Weaviate vector database and verify connection health
Create, view, update, and delete Weaviate collections with schema management (for local Weaviate)
LiteLLM-RS Caching Architecture. Covers Redis caching, vector database semantic caching, multi-tier cache strategy, TTL management, and cache invalidation patterns.
NoSQL injection testing for MongoDB, CouchDB, and Elasticsearch including operator injection, authentication bypass, and blind data extraction
