Discover Agent Skills for database management. Browse 25 skills for Claude, ChatGPT & Codex.
Manages database schemas, migrations, and performance optimizations using Drizzle ORM and Neon Postgres.
Optimizes database performance through indexing strategies, EXPLAIN plan analysis, and query refactoring.
Optimizes database architectures through expert schema design, query tuning, and scalable persistence patterns for SQL and NoSQL environments.
Designs high-performance, normalized PostgreSQL schemas using industry best practices for indexing, data types, and scaling.
Automates complex database schema migrations, ORM transitions, and zero-downtime data transformations using AI-guided best practices.
Streamlines the setup and management of local Supabase environments for faster, offline-ready full-stack development.
Optimizes Amazon DynamoDB data modeling, single-table design, and Terraform implementation with high-performance access patterns.
Resolves Supabase Row Level Security issues and manages user context for background jobs and system processes.
Implement production-grade database architectures, optimized queries, and robust migration strategies using modern ORMs and SQL best practices.
Enable real-time data synchronization and event listening for Supabase applications directly within your development environment.
Streamlines DynamoDB single-table design by interactively eliciting, formalizing, and documenting application access patterns.
Generates language-agnostic repository interfaces and data access layer skeletons from DynamoDB table designs.
Transforms raw SQL queries into type-safe Kysely TypeScript code for streamlined database management.
Designs optimized DynamoDB single-table structures by mapping complex access patterns to efficient primary keys, GSIs, and query operations.
Orchestrates the end-to-end design process for DynamoDB single-table architectures by managing access patterns, key schemas, and query interfaces.
Implements robust SQLite database patterns for Python projects, including state management, async operations, and high-performance configurations.
Provides a comprehensive reference for advanced SQL syntax, optimization strategies, and common query implementation patterns.
Generates comprehensive entity model documentation featuring Mermaid.js ER diagrams and standardized attribute tables.
Manages SQLite schema evolutions using disciplined, reversible migration patterns and TypeScript-based runners.
Optimizes MySQL query performance by automatically refactoring inefficient SQL patterns and validating index impact through iterative measurement.
Manages SQLite disaster recovery and real-time streaming replication to cloud storage backends.
Analyzes and optimizes ClickHouse database queries to improve performance, reduce resource consumption, and resolve execution bottlenecks.
Converts raw SQL queries into type-safe Kysely TypeScript code to streamline database layer development.
Guides the development of Atlan SQL metadata and query extraction connectors by selecting and implementing standardized SDK patterns.
Optimizes agent memory queries through intelligent intent classification, tiered search routing, and automated fallback chains.
Enables high-speed, exact-match keyword searching within the agent-memory system using BM25 scoring.
Streamlines Neo4j development by providing automated data modeling, Cypher query optimization, and schema visualization tools.
Enables fast, precise full-text keyword search and indexing for agent-memory systems using BM25 scoring.
Enables semantic similarity and hybrid keyword-vector search capabilities within the Agent Memory system.
Streamlines development in the GreyCat ecosystem with a unified programming language and temporal-graph-vector database for large-scale digital twins.
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