This one's all about building and deploying Databricks Lakeflow Jobs using Asset Bundles, the Python SDK, or the CLI. It walks you through scaffolding new projects with `databricks bundle init`, configuring multi-task DAGs with dependencies, and setting up different task types like notebooks, Python wheels, SQL, dbt, and pipelines. The skill covers triggers (cron, file arrival, table updates), compute configuration with job clusters, and includes worked examples for ETL and ML workflows. The Asset Bundles approach is the recommended path here, treating your job definitions as declarative YAML that you can version control and deploy across environments. Worth invoking before you start building data engineering workflows so you set things up right from the start.
npx skills add https://github.com/databricks/databricks-agent-skills --skill databricks-jobs