azure-resource-manager-redis-dotnet
Azure Resource Manager SDK for Redis in .NET.
Azure Resource Manager SDK for Redis in .NET.
QUESTPIE custom-fields custom-views registries field-registry view-registry component-registry reactive-fields dynamic-options widgets field-renderer cell-renderer
Qdrant vector database integration patterns with LangChain4j. Store embeddings, similarity search, and vector management for Java applications. Use when implementing vector-based retrieval for RAG systems, semantic search, or recommendation engines.
Use when adding caching layers — HTTP cache, CDN, Redis, in-memory, or application-level. Covers cache invalidation, TTL strategy, and cache-aside patterns.
Designs Redis caching strategies with key patterns, TTL policies, and eviction configurations
Use this skill when designing database schemas for relational (SQL) or document (NoSQL) databases. Provides normalization guidelines, indexing strategies, migration patterns, and performance optimization techniques. Ensures scalable, maintainable, and performant data models.
Work with MongoDB (document database, BSON documents, aggregation pipelines, Atlas cloud) and PostgreSQL (relational database, SQL queries, psql CLI, pgAdmin). Use when designing database schemas, writing queries and aggregations, optimizing indexes for performance, performing database migrations, configuring replication and sharding, implementing backup and restore strategies, managing database users and permissions, analyzing query performance, or administering production databases.
Work with MongoDB (document database, BSON documents, aggregation pipelines, Atlas cloud) and PostgreSQL (relational database, SQL queries, psql CLI, pgAdmin). Use when designing database schemas, writing queries and aggregations, optimizing indexes for performance, performing database migrations, configuring replication and sharding, implementing backup and restore strategies, managing database users and permissions, analyzing query performance, or administering production databases.
AI agent designs production-grade database schemas with proper normalization, indexing strategies, and data modeling patterns. Use when creating new databases, designing tables, modeling relationships, or reviewing schema architecture.
Analyzes database schemas and suggests improvements for Prisma, TypeORM, or Drizzle. Use when the user asks about database schema, migrations, ORM setup, or wants to generate TypeScript types from database models.
Universal ChromaDB integration patterns for semantic search, persistent storage, and pattern matching across all agent types. Use when agents need to store/search large datasets, build knowledge bases, perform semantic analysis, or maintain persistent memory across sessions.
Upstash Vector DB setup, semantic search, namespaces, and embedding models (MixBread preferred). Use when building vector search features on Vercel.
Store universal coding patterns into vector database. Auto-invokes after difficult tasks with broadly-applicable lessons. Trigger with "--store" or when user expresses frustration (strong learning signals). Uses true two-stage retrieval with MCP server v2.
Search for keys matching a keyword in a keyvalue namespace. Requires authentication. Use for Agentuity cloud platform operations
Show Redis connection URL. Requires authentication. Use for Agentuity cloud platform operations
Get statistics for keyvalue storage. Requires authentication. Use for Agentuity cloud platform operations
Get statistics for keyvalue storage. Requires authentication. Use for Agentuity cloud platform operations
List all vector namespaces. Requires authentication. Use for Agentuity cloud platform operations
Get statistics for vector storage. Requires authentication. Use for Agentuity cloud platform operations
Get statistics for vector storage. Requires authentication. Use for Agentuity cloud platform operations
ICJC MongoDB 데이터베이스 접근 및 쿼리. Use when: (1) mongodb, mongo, DB, 데이터베이스, 쿼리 관련 요청, (2) collection, document 조회/업데이트/삭제, (3) 데이터 확인이나 디버깅을 위한 DB 조회 필요시. IN7DB(메인앱), AgentDB(에이전트) 데이터베이스 지원.
Search for keys matching a keyword in a keyvalue namespace. Requires authentication. Use for Agentuity cloud platform operations