databricks-unity-catalog
SkillUnity Catalog governance, access control, and observability. Use to grant or revoke access (GRANT/REVOKE), reason about the privilege model and ownership, set up row-level security and column masks, create external locations and storage credentials, define catalogs/schemas/tables/volumes, answer \"w
Install
git clone https://github.com/databricks/databricks-agent-skills.git ~/.claude/skills/databricks-unity-catalogWhat is databricks-unity-catalog?
Unity Catalog governance, access control, and observability. Use to grant or revoke access (GRANT/REVOKE), reason about the privilege model and ownership, set up row-level security and column masks, create external locations and storage credentials, define catalogs/schemas/tables/volumes, answer \"who can read this table\", and query system tables (audit, lineage, billing) or work with volume files in /Volumes/.
What this can do
Capabilities declared in this component's own frontmatter — not inferred.
Inherit all session tools
Declares no tool restrictions — inherits every session tool
~104 tokens of context used while enabled, before you invoke anything
Documentation
README · ~6 min readUnity Catalog
Guidance for Unity Catalog governance — access control, the privilege model, external locations, securable DDL, and fine-grained access — plus system tables and volume file operations.
Before running
databricksCLI commands, confirm the CLI and the subcommand exist. Rundatabricks --version— this skill assumes the unified CLI (≥ v1.0.0). Several subcommands shown here (experimental aitools,system-schemas,external-lineage,grants) vary by version or workspace availability; if one is missing or rejects a flag, fall back to the SQL form or the Python SDK rather than guessing. Each reference notes its own version floor where relevant.
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All hooks →PostToolUse (mcp__.*__find_columns|mcp__.*__get_dataset_columns|mcp__.*__get_dataset)
Pre-query column validation via schema caching. Catches unknown column errors before they hit the API by building a per-session schema cache from find_columns / get_dataset_columns / get_dataset results.
PreToolUse (mcp__.*__run_query)
Pre-query column validation via schema caching. Catches unknown column errors before they hit the API by building a per-session schema cache from find_columns / get_dataset_columns / get_dataset results.