What problem does it solve? Developers working with Databricks often struggle to find correct SDK method signatures, authentication patterns, and API usage across clusters, jobs, SQL warehouses, Unity Catalog, and model serving. This Skill provides verified code patterns and documentation links so you can write correct Databricks SDK code without guessing parameters or hunting through docs. ## Core Features & Use Cases - Complete API Coverage: Working code examples for clusters, jobs, SQL statement execution, warehouses, Unity Catalog (catalogs, schemas, tables, volumes), files, serving endpoints, vector search, pipelines, secrets, and DBUtils. - Authentication Patterns: Environment variables, named profiles, explicit tokens, Azure service principals, and account-level clients. - Async Safety Guidance: Critical patterns for wrapping the synchronous SDK with asyncio.to_thread() in FastAPI and other async applications. - Use Case: You need to build a FastAPI service that queries a SQL warehouse and lists Unity Catalog tables. This Skill gives you the exact WorkspaceClient patterns, statement execution code, and async wrapping required to avoid blocking the event loop. ## Quick Start Ask the agent to write Python code using the Databricks SDK to list all clusters and run a SQL query on a warehouse.
