Discover Agent Skills for database management. Browse 25skills for Claude, ChatGPT & Codex.
Generates production-grade ORM models and entity classes while providing comprehensive architectural guidance and automation for database schema management.
Manages comprehensive Firebase/Firestore operations, including standard database CRUD, advanced multi-agent communication, and secure service integrations.
Researches and documents database-specific SQL syntax and behaviors to ensure accurate R-to-SQL translations within dbplyr.
Manages local database operations, test data setup, and Docker-based environment configurations for the daily-api service.
Accelerates full-stack development with expert guidance on PostgreSQL 16, pgvector similarity search, and secure multi-tenant Row-Level Security.
Optimizes and implements advanced database patterns across PostgreSQL, MongoDB, and Redis for scalable modern applications.
Implements high-performance vector similarity search and metadata filtering for production-grade RAG and semantic search systems.
Manages local and server-based vector embeddings for RAG and semantic search applications.
Designs production-ready SQL and NoSQL database schemas using industry-standard normalization, indexing, and performance optimization patterns.
Designs complex relational database schemas using Mermaid diagrams for enterprise-level documentation and automated relationship management.
Builds scalable data pipelines, ETL/ELT systems, and production-grade data infrastructure using modern tools like Spark, Airflow, and dbt.
Streamlines the configuration and troubleshooting of Supabase MCP integrations within the Claude Code environment.
Enables seamless exploration and querying of Supabase databases directly through Claude's interface.
Provides expert guidance on MongoDB schema design, indexing strategies, and aggregation pipeline optimization for high-performance database management.
Streamlines the configuration and troubleshooting of MongoDB MCP integrations for Claude Code.
Builds and manages scalable NoSQL databases with real-time synchronization, offline support, and advanced querying capabilities.
Ensures safe database schema evolution and prevents data loss in iOS and macOS applications using SQLite, GRDB, or SwiftData.
Provides comprehensive guidance and implementation patterns for building, testing, and deploying custom plugins for the Datasette data exploration tool.
Defines robust and maintainable database models with clear naming, appropriate data types, constraints, and relationships.
Creates and manages database migrations with reversible changes, proper naming conventions, and zero-downtime deployment strategies.
Optimizes .NET data access layers using high-performance patterns like CQRS, batching, and efficient querying with EF Core and Dapper.
Optimizes PostgreSQL database schemas using industry-standard patterns for data types, indexing, and high-performance architecture.
Architects optimized TimescaleDB schemas with hypertables, compression policies, and continuous aggregates for high-performance time-series data.
Migrates standard PostgreSQL tables to TimescaleDB hypertables using optimized partitioning, chunking, and compression configurations.
Analyzes PostgreSQL database schemas and query patterns to identify tables that would benefit from TimescaleDB hypertable conversion.
Develops and deploys applications on Snowflake's AI Data Cloud using snow CLI, Cortex AI, and Native App frameworks.
Builds production-ready event streaming systems and real-time data pipelines using modern brokers like Kafka, Redpanda, and Pulsar.
Optimizes SQL query performance across PostgreSQL, MySQL, and SQL Server through execution plan analysis and strategic indexing.
Streamlines the process of loading data from cloud storage, APIs, and streaming sources into databases using optimized multi-language patterns.
Implements high-performance storage and querying architectures for time-stamped metrics, IoT, and financial data.
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