databricks-demo

Automate Databricks demo provisioning through a three-phase wizard and scaffold generation.

Updated Feb 20, 2026
One-click install
npx skills add https://github.com/ankity09/vibe-demo-accelerator --skill databricks-demo-ankity09
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: databricks-demo
Source: https://github.com/ankity09/vibe-demo-accelerator/tree/main/skills
Command: npx skills add https://github.com/ankity09/vibe-demo-accelerator --skill databricks-demo-ankity09

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill simplifies configuring, deploying, and running Databricks demos by guiding users through a structured, three-phase wizard that automates scaffold generation and feature activation.

Core Features & Use Cases

  • Guided 3-phase wizard to collect project details, generate demo-config.yaml, and activate Databricks features.
  • Automated scaffolding for a Databricks Demo app, including UI, resources and notebooks wiring.
  • Supports integration with Lakebase, Genie, MAS, MCP, and serverless Databricks Apps to deliver repeatable demos.

Quick Start

Launch the /new-demo wizard in your project and follow the guided prompts to generate a ready-to-run Databricks demo scaffold.

Frequently Asked Questions about databricks-demo

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

FAQPage Schema
How do I automate Databricks demo provisioning across workspaces?

Automate Databricks demo provisioning by using a guided three-phase wizard that collects project details, generates a demo-config.yaml file, and activates features to produce a ready-to-run app scaffold.

Can I integrate Lakebase and Genie into a Databricks demo deployment?

Yes, you can integrate Lakebase and Genie into a Databricks demo deployment. The automated scaffolding configures these resources and features directly within your generated demo-config.yaml structure.

What is the best way to scaffold a Databricks Demo app with UI and notebooks?

The best way to scaffold a Databricks Demo app is through an automated wizard that generates the UI, wires resources and notebooks, and configures serverless Databricks Apps for repeatable deployments.

Does the Databricks demo wizard support serverless Databricks Apps and MAS?

Yes, the Databricks demo wizard supports serverless Databricks Apps, MAS, and MCP. It configures these features automatically during the scaffold generation phase to ensure repeatable demo deployments.

How to customize a generated Databricks demo scaffold with optional scripts?

Customize a generated Databricks demo scaffold by adding optional scripts, references, and assets. The wizard enforces structured configuration via demo-config.yaml and frontmatter-driven metadata for extended customization.