databricks-dabs

name	databricks-dabs
description	Create, configure, validate, deploy, run, and manage DABs — Declarative Automation Bundles (formerly Databricks Asset Bundles) — for Databricks resources 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 - Bundle structure, databricks.yml configuration, resource definitions, path resolution, variables, and multi-environment targets
• SDP Pipelines - Spark Declarative Pipeline configurations for DABs
• SQL Alerts - SQL Alert schemas and configuration (critical - API differs from other resources)
• Deploy and Run - Validation, deployment, running resources, monitoring logs, and troubleshooting common issues
• Resource Permissions - 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