Discover Agent Skills for database management. Browse 25skills for Claude, ChatGPT & Codex.
Automates the generation of comprehensive database documentation, ERD diagrams, and data dictionaries from existing schemas.
Analyzes database query patterns and workloads to provide actionable recommendations for index optimization and performance tuning.
Automates the creation, application, and rollback of database schema migrations across multiple SQL and NoSQL engines.
Automates the design, implementation, and management of database partitioning strategies to optimize query performance and data archival.
Automates database disaster recovery, point-in-time recovery (PITR), and failover strategies to ensure production system resilience.
Automates the setup and management of database replication, failover, and high availability configurations for PostgreSQL and MySQL.
Designs, normalizes, and visualizes relational database schemas with automated ERD and SQL generation.
Architects and implements horizontal database sharding strategies to scale data storage and performance across multiple servers.
Monitors database transactions in real-time to detect long-running queries, lock contention, and transaction anomalies.
Generates realistic, schema-aware test data and database seed scripts to populate development and testing environments.
Ensures database reliability by automatically implementing data types, ranges, and referential integrity constraints using a specialized validation engine.
Designs high-performance NoSQL schemas and data models optimized for scalability in databases like MongoDB and DynamoDB.
Generates production-ready ORM models and database schemas for frameworks like TypeORM, Prisma, and SQLAlchemy using natural language.
Optimizes database query execution by analyzing EXPLAIN plans and identifying performance bottlenecks.
Analyzes and refines SQL queries to enhance database performance through index recommendations and structural rewrites.
Generates production-ready stored procedures, functions, and triggers for major SQL databases to optimize performance and enforce business logic.
Implement and optimize Firebase Firestore databases with real-time synchronization, offline-first architecture, and robust security rules.
Generates comprehensive dbt test suites using modern 1.10+ syntax to ensure data integrity and structural consistency across analytical models.
Queries and joins data across PostgreSQL, MySQL, and SQLite databases using a unified SQL engine for advanced data exploration.
Provides comprehensive guidance for building secure and scalable applications using Supabase database, auth, storage, and edge functions.
Implements a hybrid ID strategy using Nanoids for public-facing identifiers and UUIDs for internal PostgreSQL references.
Performs systematic data profiling and exploratory analysis to reveal the structure, quality, and relationships within relational databases.
Establishes foundational project structures, naming conventions, and privacy standards for managing large-scale BigQuery ETL workflows.
Generates and maintains standardized BigQuery SQL and Python ETL scripts following Mozilla's data engineering conventions and partitioning patterns.
Analyzes database query performance, detects N+1 issues, identifies missing indexes, and guides safe index migrations.
Constructs standardized dbt models following Kimball dimensional patterns and modern testing configurations.
Provides comprehensive documentation and implementation patterns for Drizzle ORM, covering type-safe queries, schema management, and multi-database integrations.
Designs optimized, production-grade PostgreSQL schemas following industry best practices and performance patterns.
Facilitates querying and exploring the Joint Genome Institute (JGI) Dremio Lakehouse, including GOLD and IMG genomics databases.
Streamlines Supabase database management through optimized CRUD operations, Row Level Security (RLS) implementation, and PostgreSQL function support.
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