Discover Agent Skills for database management. Browse 25skills for Claude, ChatGPT & Codex.
Configures and optimizes Solid Queue background job processing for Rails 8 applications using database-backed infrastructure.
Implements pragmatic event-driven architectures in Rails monoliths using domain event recording and the inbox pattern.
Configures and optimizes Rails 8 Solid Cache for high-performance, database-backed application caching.
Wraps JSON-backed database columns in ActiveModel-like classes for type safety, validations, and structured data management in Ruby on Rails.
Implements type-safe SQLite database solutions using LibSQL and Drizzle ORM for Next.js, Turso, and Cloudflare D1 environments.
Generates production-ready Salesforce metadata XML and performs advanced org querying with automated best-practice scoring.
Manages Salesforce data operations including complex SOQL queries, bulk imports, and automated test data generation via sf CLI.
Standardizes the design of rigorous database schemas, domain models, and knowledge graphs to ensure data integrity and system scalability.
Implements production-grade hybrid search combining semantic vector similarity with keyword matching using PostgreSQL and PGVector.
Configures logic-driven data transformations in Glide using math, conditional, and relational columns.
Integrates programmatic data operations with Glide Big Tables using REST API v2 and the official TypeScript SDK.
Design and implement high-performance Glide data architectures, including relational schemas, computed columns, and AI-powered data processing.
Streamlines the development of robust Convex backends through advanced action implementation, HTTP routing, schema validation, and task scheduling.
Optimizes PostgreSQL performance, manages complex database administration tasks, and implements advanced indexing and replication strategies.
Optimizes database performance through query tuning, strategic indexing, and execution plan analysis for PostgreSQL and MySQL.
Implements complex SQL Server techniques including recursive CTEs, temporal tables, and memory-optimized operations.
Enables advanced SQL Server 2025 capabilities including native vector database support, AI model integration, and modernized deployment workflows.
Provides specialized guidance for defining, optimizing, and implementing efficient data retrieval functions within the Convex backend-as-a-service platform.
Optimizes complex database queries and designs scalable schemas across multiple SQL dialects for high-performance applications.
Implements and manages Convex mutation functions with best practices for database operations, validation, and task scheduling.
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.
Architects normalized PostgreSQL schemas and implements type-safe Drizzle ORM models with industry-standard best practices.
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.
Resolves path conversion conflicts between Windows and Git Bash for SSDT, SqlPackage, and DACPAC workflows.
Optimizes SQL Server database performance through expert index design, selection, and maintenance strategies.
Models domain entities from requirements using Domain-Driven Design (DDD) principles to define attributes, relationships, and state machines.
Architects scalable database schemas and optimizes query performance across relational and NoSQL systems.
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