Install to Claude Code
npx -y skills add https://github.com/databricks/databricks-agent-skills --skill databricks-dabsDescription
databricks dabs
SKILL.md
--- name: databricks-dabs description: 'Create, configure, validate, deploy, run, and manage Declarative Automation Bundles (DABs, formerly Databricks Asset Bundles). Use when working with Databricks resources via DABs including dashboards, jobs, pipelines, alerts, volumes, and apps.' --- # Declarative Automation Bundles (DABs) Use this skill for any bundle-related request including creating, configuring, validating, deploying, running, and managing Databricks resources through DABs. ## Reference Documentation The following reference files provide detailed guidance for specific bundle tasks: - **[Bundle Structure](references/bundle-structure.md)** - Bundle structure, databricks.yml configuration, resource definitions, path resolution, variables, and multi-environment targets - **[SDP Pipelines](references/sdp-pipelines.md)** - Spark Declarative Pipeline configurations for DABs - **[SQL Alerts](references/alerts.md)** - SQL Alert schemas and configuration (critical - API differs from other resources) - **[Deploy and Run](references/deploy-and-run.md)** - Validation, deployment, running resources, monitoring logs, and troubleshooting common issues - **[Resource Permissions](references/resource-permissions.md)** - Permission levels and access control for bundle resources, per-resource-type levels, grants vs permissions ## When to Use This Skill Load this skill for any request involving: - Creating new bundle projects or resources - Configuring databricks.yml or resource YAML files - Setting up multi-environment deployments (dev/prod targets) - Deploying or running bundle resources - Managing permissions for bundle resources - Troubleshooting bundle validation or deployment errors - Working with specific resource types (dashboards, jobs, pipelines, alerts, volumes, apps) ## General Guidelines 1. **Always validate after configuration changes** - Use `bundle validate --strict --target <target>` after any change 2. **Use reference documentation** - Consult the appropriate reference file for detailed patterns and examples 3. **Follow naming conventions** - Resource files should use `<name>.<resource_type>.yml` format 4. **Path resolution is critical** - Paths differ based on file location (see Bundle Structure reference) 5. **Preserve existing structure** - Keep user comments and structure when editing YAML files 6. **Use variables** - Parameterize catalog, schema, and warehouse for multi-environment support ## Documentation - [Declarative Automation Bundles](https://docs.databricks.com/dev-tools/bundles/) - [Bundle Examples Repository](https://github.com/databricks/bundle-examples) - official end-to-end example bundles (jobs, pipelines, dashboards, apps, and more); use as working references for patterns not covered by the reference files above