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".
Master Redis Cluster - horizontal scaling, hash slots, resharding, cluster management, and distributed architecture
This skill should be used when the user asks to "add caching", "implement Redis cache", "cache API response", "invalidate cache", "add cache layer", "optimize with caching", or mentions Redis, caching strategies, cache invalidation, or performance optimization. Provides Redis caching patterns for FastAPI.
Guide for implementing MongoDB - a document database platform with CRUD operations, aggregation pipelines, indexing, replication, sharding, search capabilities, and comprehensive security. Use when working with MongoDB databases, designing schemas, writing queries, optimizing performance, configuring deployments (Atlas/self-managed/Kubernetes), implementing security, or integrating with applications through 15+ official drivers. (project)
List all vector namespaces. Requires authentication. Use for Agentuity cloud platform operations
Master Redis modules - RedisJSON, RediSearch, RedisTimeSeries, RedisBloom, and extending Redis functionality
Show Redis connection URL. Requires authentication. Use for Agentuity cloud platform operations
Master MongoDB indexing and query optimization. Learn index types, explain plans, performance tuning, and query analysis. Use when optimizing slow queries, analyzing performance, or designing indexes.
Master MongoDB authentication methods including SCRAM, X.509 certificates, LDAP, and Kerberos. Learn user creation, role assignment, and securing MongoDB deployments.
Redis database expert for caching, data structures, Pub/Sub, Streams, Lua scripting, and performance optimization using Bun.redis native client. Use when working with Redis, caching strategies, key-value stores, real-time data, vector search, or document databases. Works alongside bun-expert skill.
Master Redis Lists and Sets - queues, stacks, unique collections, set operations, and real-world implementation patterns
Master MongoDB CRUD operations, document insertion, querying, updating, and deletion. Learn BSON format, ObjectId, data types, and basic operations. Use when working with documents, collections, and fundamental MongoDB operations.
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.
Master MongoDB index creation and types. Learn single-field, compound, unique, text, geospatial, and TTL indexes. Optimize query performance dramatically with proper indexing.
Manages Firestore collections, document schemas, security rules, and NoSQL queries for the 32Gamers portal app catalog. Use when: performing CRUD operations on the apps collection, writing security rules, querying documents, handling Firestore errors, or designing document schemas.
Explore a MongoDB collection to learn its schema, field types, value distributions, and relationships
Ingests repository files into the ChromaDB vector store. Builds or updates the vector index from a manifest or directory scan using ingest.py. Use when new files need to be indexed or the vector store is out of date. <example> user: "Index these new plugin files into the vector database" assistant: "I'll use vector-db-ingest to add them to the vector store." </example> <example> user: "The vector store is missing recent files -- update it" assistant: "I'll use vector-db-ingest to re-index the changes." </example>
Memory management with AgentDB unification, HNSW indexing, vector search, and hybrid SQLite+AgentDB backend. Use when storing, searching, or managing agent memory, configuring memory backends, or performing semantic search across knowledge bases.
