Discover Agent Skills for database management. Browse 25 skills for Claude, ChatGPT & Codex.
Optimizes Apache DataFusion SQL queries and DataFrame operations through advanced performance analysis and best practices.
Guides the development, testing, and implementation of Data Transformation Language (DTL) for InterSystems IRIS interoperability productions.
Manages idempotent Supabase database migrations, Row Level Security policies, and SaaS schema patterns via MCP.
Optimizes Laravel database interactions using Eloquent ORM patterns, advanced relationships, and query performance techniques.
Optimizes Parquet file operations in Rust to improve query performance, reduce storage costs, and prevent memory issues.
Implements end-to-end SaaS features including database migrations, backend logic, and frontend components in a single streamlined workflow.
Implements industry-standard database design patterns, indexing strategies, and migration best practices for optimized data persistence.
Optimizes distributed AI systems with low-latency QUIC synchronization, hybrid vector search, and advanced multi-database management.
Optimizes AgentDB implementations with advanced capabilities like QUIC synchronization, hybrid search, and distributed database management.
Manages Drizzle ORM and drizzle-kit workflows including migrations, schema generation, and specialized database reset flows.
Optimizes AgentDB vector database performance through quantization, HNSW indexing, and advanced caching strategies to maximize search speed and minimize memory usage.
Optimizes high-volume data synchronization from external APIs to databases using multi-row insert patterns and foreign key pre-filtering.
Unifies disparate AI memory systems into a high-performance AgentDB backend with HNSW vector search for massive retrieval speedups.
Streamlines the creation and deployment of PostgreSQL scripts optimized for the Windmill orchestration platform.
Automates the archival of historical database records to cold storage or archive tables to optimize performance and ensure regulatory compliance.
Automates the implementation of database audit trails and change tracking to ensure data integrity and regulatory compliance.
Automates secure database backups and restoration procedures for PostgreSQL, MySQL, MongoDB, and SQLite.
Implements multi-tier caching architectures to optimize database performance and reduce latency using Redis, in-memory layers, and CDNs.
Detects, analyzes, and prevents database deadlocks by monitoring lock contention and identifying problematic transaction patterns.
Automates database schema comparisons and generates safe, production-grade migration scripts with built-in rollback procedures.
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.
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