agentuity-cli-cloud-vector-stats
Get statistics for vector storage. Requires authentication. Use for Agentuity cloud platform operations
Discover tools nosql databases skills, compare source repositories and read the instructions for each workflow.
Get statistics for vector storage. Requires authentication. Use for Agentuity cloud platform operations
Copilot agent that assists with database operations, performance tuning, backup/recovery, monitoring, and high availability configuration Trigger terms: database administration, DBA, database tuning, performan...
Weaviate vector database for semantic search, hybrid queries, and AI-native applications. Use for embeddings storage, similarity search, RAG pipelines, and multi-modal retrieval.
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). Use...
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 revie...
The agent implements Redis caching, data structures, and real-time messaging patterns. Use when implementing caching layers, session storage, rate limiting, pub/sub messaging, or distributed data structures.
The agent implements MongoDB NoSQL database solutions with document modeling, aggregation pipelines, and Mongoose ODM. Use when building document-based applications, designing schemas, writing aggregations, or...
Use when you want to stop a running indexing job
Use when you want to wipe all indexed data and start fresh
Use when you want to rebuild or refresh the semantic search index for the codebase
Use this skill when designing database schemas for relational (SQL) or document (NoSQL) databases. Provides normalization guidelines, indexing strategies, migration patterns, and performance optimization techni...
Database workflows - schema design, migrations, query optimization. Use when designing schemas, reviewing migrations, optimizing queries, preventing N+1 problems, or working with ORMs like Prisma, Drizzle, and...
Prisma ORM expert for schema design, migrations, query optimization, relations modeling, and database operations. Use PROACTIVELY for Prisma schema issues, migration problems, query performance, relation design...
MongoDB Atlas cloud database management including clusters, schemas, aggregation pipelines, and Prisma ORM integration. Activate for MongoDB queries, schema design, indexing, and Atlas administration.
This skill should be used when the user asks to "create MongoDB model", "define Beanie document", "write MongoDB query", "create aggregation pipeline", "run database migration", "index MongoDB collection", or m...
Redis caching, pub/sub, and data structures. Activate for Redis operations, caching strategies, session management, and message queuing.
Database design, SQL queries, migrations, and optimization. Activate for PostgreSQL, MySQL, SQLite, schema design, queries, indexes, and data modeling.
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 strategie...
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...
Assist with IndexedDB/Dexie.js database operations, migrations, and data management
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 queri...
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...
Migrate and sync vector database collections across environments
Store and retrieve documents using Qdrant for RAG workflows. Use for persistent memory, research storage, and semantic search.
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