Discover Agent Skills for database management. Browse 25 skills for Claude, ChatGPT & Codex.
Provides comprehensive guidance on working with Logseq's database-based data model, covering nodes, typed properties, classes, and advanced Datalog queries.
Defines and optimizes database models with appropriate data types, relationships, and integrity constraints across various ORM frameworks.
Writes secure, performant database queries and data access logic using optimization techniques and security best practices.
Manages database schema changes through version-controlled migration files while ensuring rollback safety and zero-downtime compatibility.
Generates, optimizes, and troubleshoots database queries across multiple SQL and NoSQL systems to ensure peak performance and scalability.
Configures isolated database branches for safe, production-like development and testing without affecting live data.
Architects, optimizes, and secures SurrealDB applications using multi-model database patterns and real-time capabilities.
Automates the multi-step process of adding new comparison properties to the AI coding agents matrix across data files, UI components, and GitHub templates.
Streamlines RDBMS integration in C# for PostgreSQL, MySQL, DuckDB, and legacy systems using optimized access patterns and drivers.
Enforces PostGIS 3.6.1 best practices for managing complex geographic data, spatial queries, and advanced geometry operations.
Transforms unstructured Markdown documentation into rigorous, machine-verifiable data schemas using Pydantic models and YAML entities.
Validates database connectivity, performance SLAs, schema integrity, and backup readiness during software release workflows.
Generates Doctrine entities and repositories following Elegant Objects principles for robust, maintainable PHP code.
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.
Enforces transaction safety, strict typing, and naming conventions for PostgreSQL to prevent data corruption and runtime errors.
Optimizes time-series data management by enforcing TimescaleDB 2.24.0 best practices for hypertables, continuous aggregates, and compression.
Enforces PostgreSQL 18 best practices for schema design, migrations, and high-performance database architecture.
Streamlines Ruby on Rails database management with expert patterns for migrations, associations, and query optimization.
Resolves Supabase Row Level Security issues and manages user context for background jobs and system processes.
Implement production-grade database architectures, optimized queries, and robust migration strategies using modern ORMs and SQL best practices.
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.
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.
Enable real-time data synchronization and event listening for Supabase applications directly within your development environment.
Transforms raw SQL queries into type-safe Kysely TypeScript code for streamlined database management.
Guides the development of Atlan SQL metadata and query extraction connectors by selecting and implementing standardized SDK patterns.
Converts raw SQL queries into type-safe Kysely TypeScript code to streamline database layer development.
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