Discover Agent Skills for database management. Browse 25 skills for Claude, ChatGPT & Codex.
Transforms unstructured Markdown documentation into rigorous, machine-verifiable data schemas using Pydantic models and YAML entities.
Generates Doctrine entities and repositories following Elegant Objects principles for robust, maintainable PHP code.
Validates database connectivity, performance SLAs, schema integrity, and backup readiness during software release workflows.
Automates the creation, validation, and management of Snowflake semantic views and semantic layer definitions using the Snowflake CLI.
Optimizes PostgreSQL database performance and security through standardized schema design, indexing strategies, and advanced query patterns.
Optimizes time-series data management by enforcing TimescaleDB 2.24.0 best practices for hypertables, continuous aggregates, and compression.
Streamlines Ruby on Rails database management with expert patterns for migrations, associations, and query optimization.
Enforces transaction safety, strict typing, and naming conventions for PostgreSQL to prevent data corruption and runtime errors.
Enforces PostgreSQL 18 best practices for schema design, migrations, and high-performance database architecture.
Streamlines RDBMS integration in C# for PostgreSQL, MySQL, DuckDB, and legacy systems using optimized access patterns and drivers.
Manages database schemas, migrations, and performance optimizations using Drizzle ORM and Neon Postgres.
Optimizes database architectures through expert schema design, query tuning, and scalable persistence patterns for SQL and NoSQL environments.
Streamlines the setup and management of local Supabase environments for faster, offline-ready full-stack development.
Resolves Supabase Row Level Security issues and manages user context for background jobs and system processes.
Enable real-time data synchronization and event listening for Supabase applications directly within your development environment.
Streamlines DynamoDB single-table design by interactively eliciting, formalizing, and documenting application access patterns.
Generates language-agnostic repository interfaces and data access layer skeletons from DynamoDB table designs.
Transforms raw SQL queries into type-safe Kysely TypeScript code for streamlined database management.
Designs optimized DynamoDB single-table structures by mapping complex access patterns to efficient primary keys, GSIs, and query operations.
Orchestrates the end-to-end design process for DynamoDB single-table architectures by managing access patterns, key schemas, and query interfaces.
Provides a comprehensive reference for advanced SQL syntax, optimization strategies, and common query implementation patterns.
Implements robust SQLite database patterns for Python projects, including state management, async operations, and high-performance configurations.
Generates comprehensive entity model documentation featuring Mermaid.js ER diagrams and standardized attribute tables.
Manages SQLite schema evolutions using disciplined, reversible migration patterns and TypeScript-based runners.
Converts raw SQL queries into type-safe Kysely TypeScript code to streamline database layer development.
Optimizes MySQL query performance by automatically refactoring inefficient SQL patterns and validating index impact through iterative measurement.
Manages SQLite disaster recovery and real-time streaming replication to cloud storage backends.
Guides the development of Atlan SQL metadata and query extraction connectors by selecting and implementing standardized SDK patterns.
Streamlines development in the GreyCat ecosystem with a unified programming language and temporal-graph-vector database for large-scale digital twins.
Streamlines Neo4j development by providing automated data modeling, Cypher query optimization, and schema visualization tools.
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