NoSQL Databases
29 skills
discover-database
rand/cc-polymathAutomatically discover database skills when working with SQL, PostgreSQL, MongoDB, Redis, database schema design, query optimization, migrations, connection pooling, ORMs, or database selection. Activates for database design, optimization, and implementation tasks.
query-builder
CuriousLearner/devkitInteractive database query builder for generating optimized SQL and NoSQL queries.
database-monitoring
aj-geddes/useful-ai-promptsMonitor database performance and health. Use when setting up monitoring, analyzing metrics, or troubleshooting database issues.
database-schema-designer
ArieGoldkin/ai-agent-hubUse 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.
databases
mrgoonie/claudekit-skillsWork 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.
database-implementation
jpicklyk/task-orchestratorDatabase schema design, migrations, query optimization with SQL, Exposed ORM, Flyway. Use for database, migration, schema, sql, flyway tags. Provides migration patterns, validation commands, rollback strategies.
cocoindex
cocoindex-io/cocoindex-claudeComprehensive toolkit for developing with the CocoIndex library. Use when users need to create data transformation pipelines (flows), write custom functions, or operate flows via CLI or API. Covers building ETL workflows for AI data processing, including embedding documents into vector databases, building knowledge graphs, creating search indexes, or processing data streams with incremental updates.
database-query-optimization
aj-geddes/useful-ai-promptsImprove database query performance through indexing, query optimization, and execution plan analysis. Reduce response times and database load.
nosql-database-design
aj-geddes/useful-ai-promptsDesign NoSQL database schemas for MongoDB and DynamoDB. Use when modeling document structures, designing collections, or planning NoSQL data architectures.
database-optimization-guru
sandraschi/advanced-memory-mcpDatabase expert for query optimization, indexing, schema design, and
tokenmilagre-database
dogespartano-cyber/tokenmilagre-platformThis skill guides database management including Prisma schema design, migrations, data modeling, query optimization, and database maintenance. Use when modifying the database schema, creating migrations, optimizing queries, or troubleshooting database issues.
database-setup
dogespartano-cyber/tokenmilagre-platformUse this skill when working with database, Prisma ORM, PostgreSQL, Server Components, deployment issues, or build configuration. Contains critical rules for data access, migrations, and Vercel builds.
databases
htlabs-xyz/htlabsWork 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.
database-integration
Ingramml/racial-terror-mapDatabase integration patterns for SQL and NoSQL databases. Use when working with database schemas, queries, migrations, or ORM configurations. Supports PostgreSQL, BigQuery, MongoDB, MySQL with progressive disclosure.
dataflow
Integrum-Global/new_project_template"Kailash DataFlow - zero-config database framework with automatic model-to-node generation. Use when asking about 'database operations', 'DataFlow', 'database models', 'CRUD operations', 'bulk operations', 'database queries', 'database migrations', 'multi-tenancy', 'multi-instance', 'database transactions', 'PostgreSQL', 'MySQL', 'SQLite', 'MongoDB', 'pgvector', 'vector search', 'document database', 'RAG', 'semantic search', 'existing database', 'database performance', 'database deployment', 'database testing', or 'TDD with databases'. DataFlow is NOT an ORM - it generates 11 workflow nodes per SQL model, 8 nodes for MongoDB, and 3 nodes for vector operations."
backend-queries
Software-Design-Club/todo-appWrite secure, performant database queries using parameterized queries, eager loading, proper indexing, and transactions. Use this skill when writing database query code, ORM query methods, SQL statements, or data fetching logic. Use this when preventing SQL injection with parameterized queries, optimizing queries to avoid N+1 problems with eager loading, selecting specific columns instead of SELECT *, implementing database transactions for related operations, adding query timeouts, or caching expensive queries. Use this when working on repository files, service files with database access, query builder code, or any file that retrieves or manipulates data from databases.
agentdb-advanced-features
ruvnet/claude-flow"Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications."
agentdb-performance-optimization
ruvnet/claude-flow"Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors."
qdrant-vector-database-integration
giuseppe-trisciuoglio/developer-kitQdrant 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.
surrealdb-python
ActiveInferenceInstitute/Journal-UtilitiesMaster SurrealDB 2.3.x with Python for multi-model database operations including CRUD, graph relationships, vector search, and real-time queries. Use when working with SurrealDB databases, implementing graph traversal, semantic search with embeddings, or building RAG applications.
vector-database-management
manutej/luxor-claude-marketplaceComprehensive guide for managing vector databases including Pinecone, Weaviate, and Chroma for semantic search, RAG systems, and similarity-based applications
mongodb
samhvw8/dotfilesGuide 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)
agentdb-advanced-features
Dmccarty30/Journeyman-Jobs"Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications."
redis-integration
omerakben/omer-akbenRedis and Upstash Vector integration patterns for rate-limiting, vector search, embeddings, and memory systems. Use when implementing caching, rate-limiting, or semantic search features.
firebase-deployer
ainexllc/ClaudeCodeTrainingDeploy Firebase Firestore security rules and indexes automatically. Use when Firestore query errors mention "requires an index", when firestore.rules or firestore.indexes.json are modified, or when user requests Firebase deployment.
surrealdartb
cotw-fabier/surrealdartbUse this skill when working with the SurrealDartB package in Dart/Flutter projects. This includes creating embedded SurrealDB databases, performing CRUD operations, managing schemas with code generation, working with vector embeddings for AI/ML applications, building type-safe queries with ORM features, and handling migrations. Invoke when user mentions SurrealDB, embedded databases, vector search, semantic similarity, or asks to implement database features in Dart/Flutter.
elasticsearch
lawless-m/FreeBirdElasticsearch 5.2 operations using HTTP API - searching, indexing, bulk operations, scroll API, and alias management
drizzle-orm
oriolrius/pki-manager-webExpert guidance for Drizzle ORM including schema definition, queries, relations, migrations, TypeScript integration with SQLite/PostgreSQL, and Drizzle Studio. Use this when working with type-safe database operations, schema management, or ORM queries.
designing-dynamodb-tables
swapkats/robinSpecialized skill for designing AWS DynamoDB single-table schemas with optimized access patterns. Use when modeling data, designing table structure, or optimizing DynamoDB queries for production applications.