Discover Agent Skills for database management. Browse 25skills for Claude, ChatGPT & Codex.
Provides a comprehensive reference and implementation patterns for T-SQL functions across SQL Server and Azure SQL Database versions.
Optimizes SQL Server and Azure SQL Database performance through advanced T-SQL query tuning and execution plan analysis.
Optimizes Azure SQL Database performance through platform-specific configurations, monitoring scripts, and scaling strategies.
Implements scalable architectural patterns for separated read/write models and immutable event logs to ensure system auditability.
Implements scalable, auditable system architectures using Command Query Responsibility Segregation and Event Sourcing patterns.
Streamlines the development of robust Convex backends through advanced action implementation, HTTP routing, schema validation, and task scheduling.
Implements and manages Convex mutation functions with best practices for database operations, validation, and task scheduling.
Optimizes database performance through query tuning, strategic indexing, and execution plan analysis for PostgreSQL and MySQL.
Optimizes PostgreSQL performance, manages complex database administration tasks, and implements advanced indexing and replication strategies.
Architects robust data models for SQL and NoSQL databases using industry-standard normalization, indexing strategies, and migration patterns.
Generates, optimizes, and troubleshoots database queries across multiple SQL and NoSQL systems to ensure peak performance and scalability.
Architects, optimizes, and secures SurrealDB applications using multi-model database patterns and real-time capabilities.
Executes complex database migrations and schema transformations using zero-downtime strategies and cross-ORM best practices.
Establishes a unified project language and robust data structures to ensure consistency across AI-native development workflows.
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.
Defines and optimizes database models with appropriate data types, relationships, and integrity constraints across various ORM frameworks.
Provides comprehensive guidance on working with Logseq's database-based data model, covering nodes, typed properties, classes, and advanced Datalog queries.
Streamlines RDBMS integration in C# for PostgreSQL, MySQL, DuckDB, and legacy systems using optimized access patterns and drivers.
Streamlines Ruby on Rails database management with expert patterns for migrations, associations, and query optimization.
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.
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.
Transforms unstructured Markdown documentation into rigorous, machine-verifiable data schemas using Pydantic models and YAML entities.
Enforces PostGIS 3.6.1 best practices for managing complex geographic data, spatial queries, and advanced geometry operations.
Automates the multi-step process of adding new comparison properties to the AI coding agents matrix across data files, UI components, and GitHub templates.
Converts raw SQL queries into type-safe Kysely TypeScript code to streamline database layer development.
Streamlines Neo4j development by providing automated data modeling, Cypher query optimization, and schema visualization tools.
Optimizes database architectures through expert schema design, query tuning, and scalable persistence patterns for SQL and NoSQL environments.
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