Databases Agent Skills

JetBrains Exposed ORM patterns including DSL queries, DAO pattern, transactions, HikariCP connection pooling, Flyway migrations, and…

Capable of converting raw SQL queries into type-safe Kysely TypeScript code.

Guides and best practices for working with Lakebase Postgres on Neon: connections, pooled vs direct, schema migrations, branching…

Choose and create the right Neon branch type for testing and development.

Delta Lake, Apache Iceberg, Hudi for ACID transactions on object storage.

Laravel database optimization patterns. Use when writing Eloquent queries, creating migrations, configuring caching, debugging slow…

Manages Feishu/Lark Bitable operations including table structures, data records, advanced formulas, and automated workflows via lark-cli.

Use this as the routing skill for Convex work in this repo.

Use when running, planning, or discussing database migrations, schema changes, or data transformations against any environment

Read and inspect LevelDB stores - especially Chromium/Electron app state (Local Storage, IndexedDB, Session Storage).

Automate Airtable tasks via Rube MCP (Composio): records, bases, tables, fields, views.

Azure Cosmos DB SDK for Java. NoSQL database operations with global distribution, multi-model support, and reactive patterns.

Azure Cosmos DB SDK for Python (NoSQL API).

Azure Cosmos DB JavaScript/TypeScript SDK (@azure/cosmos) for data plane operations.

Build table storage applications using the Azure Tables SDK for Java.

Azure Tables SDK for Python (Storage and Cosmos DB).

ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.

Convex reactive backend expert: schema design, TypeScript functions, real-time subscriptions, auth, file storage, scheduling, and…

Build production-grade Azure Cosmos DB NoSQL services following clean code, security best practices, and TDD principles.

You are a data pipeline architecture expert specializing in scalable, reliable, and cost-effective data pipelines for batch and streaming…