claude

ai-platform-kit

Databricks platform engineering toolkit — provision workspaces, configure Unity Catalog, manage identity and governance, set up networking across Azure, AWS, and GCP.

22 on GitHubby Databricks Solutionsv0.2.3Databricks License (see LICENSE.md)updated 1 month ago

Not in a marketplace yet, so it loads for one session with --plugin-dir.

Plugin ai-platform-kit in databricks-solutions/ai-platform-kit. Commands read from the repo's manifest — 1 month ago.

This plugin runs code on your machine — its hooks fire automatically on events like tool use. The exact commands are listed below; read them before installing.

What it installs

Skills (6)

  • databricks-deployment-verification

    MANDATORY post-deployment verification. After any workspace + Unity Catalog deployment, you MUST run all THREE compute paths against a UC table — classic cluster, serverless SQL warehouse, serverless notebook job. Skipping any of the three is incomplete work. Use whenever a workspace + UC has been f

  • databricks-identity-governance

    Manage Databricks identity and governance. Use when the user asks to create groups, users, service principals, set up RBAC, manage permissions, workspace assignments, or configure access control.

  • databricks-platform-provisioning

    Provision and test Databricks workspaces. Use when the user asks to create a workspace, set up a new environment, provision infrastructure, bootstrap Databricks, test a workspace, verify a deployment, or run validation checks against a Databricks workspace. Covers Azure, AWS, and GCP.

  • databricks-private-networking

    Set up private networking for Databricks. Use when the user asks about private link, hub-spoke architecture, NCC (Network Connectivity Configuration), serverless connectivity to private resources, VPC endpoints, or private endpoints.

  • databricks-unity-catalog-setup

    Set up Unity Catalog on Databricks workspaces. Use when the user asks to configure Unity Catalog, create a metastore, set up catalogs, schemas, external locations, storage credentials, or configure data governance. Covers Azure, AWS, and GCP.

  • databricks-workspace-config

    Configure Databricks workspace settings. Use when the user asks to create SQL warehouses, cluster policies, secret scopes, IP access lists, manage tokens, update workspace settings, or destroy infrastructure.

Hooks (1)

  • PreToolUse

    python3 ${CLAUDE_PLUGIN_ROOT}/hooks/block-cred-reads.py

View source on GitHub

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