Discover Agent Skills for database management. Browse 25skills for Claude, ChatGPT & Codex.
Optimizes application performance through Redis caching, real-time pub/sub messaging, and distributed data structures.
Manages database schema changes through reversible, version-controlled migration files while ensuring zero-downtime deployment compatibility.
Simplifies querying and managing the v3_e-report database for data analysis alert configurations and tenant statistics.
Queries and manages integrated connector configurations and API metadata within the v3_openapi database.
Queries and manages integrated connectors and API configurations within the v3_openapi database using structured SQL templates.
Queries and manages tenant, organization, and factory information within the v3_user database using structured SQL execution.
Optimizes database performance by implementing efficient indexing, query refactoring, and execution plan analysis.
Optimizes SQL database performance through query plan analysis, advanced indexing strategies, and systematic query refactoring.
Designs scalable data lake and lakehouse architectures using optimized partitioning, storage tiers, and high-performance formats like Iceberg and Parquet.
Optimizes database performance through advanced query tuning, indexing strategies, and detailed execution plan analysis.
Executes complex database migrations and schema transformations across multiple ORMs with a focus on zero-downtime and data integrity.
Manages and optimizes Ruby on Rails database interactions through expert ActiveRecord guidance and implementation patterns.
Streamlines database schema management and ActiveRecord migration workflows for Ruby on Rails applications.
Executes SQL queries against Snowflake data warehouses with support for multiple authentication methods and flexible output formats.
Unifies disparate AI memory systems into a high-performance AgentDB backend with HNSW vector search for massive retrieval speedups.
Optimizes high-volume data synchronization from external APIs to databases using multi-row insert patterns and foreign key pre-filtering.
Optimizes AgentDB implementations with advanced capabilities like QUIC synchronization, hybrid search, and distributed database management.
Optimizes distributed AI systems with low-latency QUIC synchronization, hybrid vector search, and advanced multi-database management.
Implements industry-standard database design patterns, indexing strategies, and migration best practices for optimized data persistence.
Optimizes SQL query performance by applying proven patterns for indexing, JOIN structures, and execution plan analysis.
Optimizes Apache DataFusion SQL queries and DataFrame operations through advanced performance analysis and best practices.
Generates production-ready CRUD operations for Supabase tables with built-in error handling, type safety, and RLS awareness.
Optimizes database performance through advanced indexing strategies, query plan analysis, and efficient data retrieval patterns.
Designs production-ready, normalized database schemas with relationships, constraints, and Row Level Security specifically for Supabase.
Optimizes Parquet file operations in Rust to improve query performance, reduce storage costs, and prevent memory issues.
Optimizes AgentDB vector database performance through quantization, HNSW indexing, and advanced caching strategies to maximize search speed and minimize memory usage.
Implements high-performance vector search, distributed QUIC synchronization, and multi-database management for advanced AI systems.
Executes database schema and data migrations across multiple ORMs with zero-downtime strategies and rollback procedures.
Constructs optimized and secure database queries using parameterized statements, eager loading, and efficient indexing strategies.
Writes high-performance, secure T-SQL code and optimizes SQL Server database schemas using industry best practices.
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