databricks-unity-catalog

Centralizes Unity Catalog metadata inspection, permission management, lineage/history analysis via SQL-based operations.

1|Updated Jan 6, 2026
One-click install
npx skills add https://github.com/mats16/briclaude --skill databricks-unity-catalog-mats16
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: databricks-unity-catalog
Source: https://github.com/mats16/briclaude/tree/main/skills/databricks-unity-catalog
Command: npx skills add https://github.com/mats16/briclaude --skill databricks-unity-catalog-mats16

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Unity Catalog metadata inspection, data exploration, and permission management to streamline governance and access control across catalogs, schemas, and tables.

Core Features & Use Cases

  • Catalog discovery: list catalogs, schemas, and tables and inspect metadata.
  • Permissions management: check grants and grant access to principals.
  • Lineage and history: analyze data lineage and view table history for impact assessment.

Quick Start

Describe a Unity Catalog table's metadata and lineage and summarize its permissions.

Frequently Asked Questions about databricks-unity-catalog

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I manage Unity Catalog permissions and check grants across schemas?

Unity Catalog permissions management allows you to check grants and grant access to principals across catalogs, schemas, and tables using SQL operations. This centralizes access control and streamlines data governance workflows.

What is the best way to discover and inspect Unity Catalog metadata for tables?

Discover Unity Catalog metadata by listing catalogs, schemas, and tables to inspect their structural details. This provides centralized metadata access to streamline data discovery across your environment.

Can I analyze data lineage and table history in Databricks for impact assessment?

Yes, you can analyze data lineage and view table history in Databricks to perform impact assessment. This capability allows data engineers and stewards to track data origins and modifications across schemas.

Does this Unity Catalog metadata tool work without the Databricks API?

Yes, this Unity Catalog metadata tool works without the Databricks API by implementing a CLI fallback. It ensures compatible SQL-based queries run in environments both with and without the API.

How do I list all catalogs and schemas in Databricks Unity Catalog?

List all catalogs and schemas in Databricks Unity Catalog by executing core SQL-based operations via the run SQL interface with a CLI fallback. This returns a structured view of your data hierarchy for streamlined discovery.

Why use a centralized tool for Unity Catalog governance and access control?

Use a centralized tool for Unity Catalog governance to streamline metadata inspection and permission management across multiple catalogs. It ensures consistent access control and data discovery for engineers and stewards.