What problem does it solve? Writing code against Databricks services requires knowing the correct SDK methods, authentication patterns, and API signatures across clusters, jobs, SQL warehouses, Unity Catalog, model serving, and vector search. This Skill supplies verified method signatures, documentation URLs, and working examples so you avoid guessing parameters or misusing synchronous SDK calls in async applications. ## Core Features & Use Cases - Complete API Reference: Covers WorkspaceClient and AccountClient operations for clusters, jobs, SQL statement execution, warehouses, Unity Catalog (catalogs, schemas, tables, volumes), files, serving endpoints, vector search, pipelines, secrets, and DBUtils, each mapped to official documentation URLs. - Authentication Patterns: Documents PAT tokens, OAuth, Azure Service Principal, named profiles, and environment variable configuration. - Async Safety Guidance: Explains the critical requirement to wrap blocking SDK calls with asyncio.to_thread in FastAPI and asyncio applications. - Use Case: When building a FastAPI service that queries a SQL warehouse and reads Unity Catalog tables, activate this Skill to get correct execute_statement parameters, pagination handling, and non-blocking async patterns. ## Quick Start Ask the agent to write Python code using the Databricks SDK to list clusters and run a SQL query on a warehouse, and it will apply the correct authentication and wait patterns.
