claude

fe-databricks-tools

Complete Databricks workflow tools: authentication, queries, deployments, workspace setup, and demos

0 on GitHubby Databricks Field Engineeringv1.1.4updated 7 months agoproductivity
/

Plugin fe-databricks-tools from marketplace fe-vibe in sarah-hord-db/vibe. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (15)

  • databricks-apps

    Build and deploy full-stack Databricks Apps with Lakebase, Foundation Model API, and React/FastAPI

  • databricks-authentication

    This skill provides instructions for authenticating with databricks. Do this before any databricks operations.

  • databricks-data-generation

    Generate realistic synthetic data for demos and testing across retail, healthcare (incl. clinical trials), financial, IoT, manufacturing, supply chain, oil & gas, and gaming industries using Polars + Mimesis (local/UC) or dbldatagen (Connect/notebooks).

  • databricks-demo

    Create, deploy and run demos relating to or integrating with Databricks.

  • databricks-fe-vm-workspace-deployment

    Deploy and manage standard Databricks demo workspaces using the FE Vending Machine (FEVM) with automatic authentication and environment caching. Answers questions about which workspace was deployed or created at an earlier time. Do NOT use for custom IAM roles, custom VPCs, PrivateLink, cross-accoun

  • databricks-lakebase

    Create, configure, and query Lakebase Postgres databases using CLI and code

  • databricks-lakeview-dashboard-analyzer

    Analyze existing Databricks AI/BI (Lakeview) dashboards using the Lakeview REST API (default) or Chrome DevTools for visual inspection. Extracts datasets, queries, widgets, and page structure from dashboard definitions. Use when analyzing dashboards, extracting dashboard data, or when user shares a

  • databricks-lakeview-dashboard

    Programmatically create and manage Lakeview dashboards in Databricks

  • databricks-lineage

    This skill enables exploration of Databricks Unity Catalog data lineage. It should be used when tracing data flow between tables, understanding how data assets are connected, finding upstream data sources or downstream consumers, or investigating column-level data dependencies. Complements the datab

  • databricks-oneenv-workspace-deployment

    Create and manage Databricks workspaces in the One-Env account for demos requiring custom AWS integrations

  • databricks-query

    Execute a query with Databricks

  • databricks-resource-deployment

    Deploys resources (notebooks, jobs, clusters, warehouses, apps, databases/lakebase instances, catalogs, schemas) into an existing databricks workspace.

  • databricks-warehouse-selector

    Select a warehouse to execute a Databricks SQL Query on

  • databricks-workspace-files

    This skill enables exploration of Databricks workspace files using the Databricks CLI. It should be used when listing, browsing, or pulling files from Databricks workspaces into context for code review, debugging, or understanding existing notebooks and scripts. Supports .py, .sql, and .ipynb files.

  • fe-snowflake

    Set up and manage Snowflake trial accounts for Field Engineering demos and testing

Subagents (1)

  • databricks-apps-developer

    Expert Databricks Apps developer specializing in Node.js/React applications. Use for scaffolding, configuring, deploying, and managing Databricks Apps. Knows app.yaml configuration, CLI commands, REST APIs, resources, authentication, and best practices. Delegates UI testing to web-devloop-tester.

View source on GitHub

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