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databricks-demo

Plan, create, and deploy Databricks demonstrations with structured files.

Updated Feb 27, 2026
Search Tags:#deployment#data generation#demo#databricks#lakebase#databricks apps
One-click install
npx skills add https://github.com/LaurentPRAT-DB/LPT_claude_config --skill databricks-demo
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: databricks-demo
Source: https://github.com/LaurentPRAT-DB/LPT_claude_config/tree/main/skills/fe-vibe-export/fe-databricks-tools/1.0.0/skills/databricks-demo
Command: npx skills add https://github.com/LaurentPRAT-DB/LPT_claude_config --skill databricks-demo

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the creation, deployment, and execution of demonstrations that showcase Databricks capabilities, ensuring use-case relevance and feature utilization.

Core Features & Use Cases

  • Demo Planning: Guides the creation of DEMO.md and TASKS.md for structured demo development.
  • Environment Management: Selects appropriate Databricks workspaces (e.g., FE-VM, e2-demo) based on demo requirements.
  • Databricks App Development: Integrates with Databricks Apps for UI-driven demos, leveraging specific developer subagents.
  • Data Generation: Facilitates data creation using serverless resources.
  • Deployment: Orchestrates the deployment of Databricks resources and applications.

Quick Start

Use the databricks-demo skill to create a new demo for a customer-facing application that requires Databricks Apps and Lakebase integration.

Frequently Asked Questions about databricks-demo

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

FAQPage Schema
How do I build and deploy a Databricks demo for a customer-facing application?▼

To build and deploy a Databricks demo, use this Skill to guide planning via DEMO.md, select a workspace like e2-demo, develop Databricks Apps, generate serverless data, and orchestrate resource deployment.

What is the best way to structure Databricks demonstrations?▼

The best way to structure Databricks demonstrations is by creating DEMO.md and TASKS.md files, ensuring use-case relevance and proper feature utilization before selecting environments and deploying resources.

Does this support generating data for Databricks Apps using serverless resources?▼

Yes, it facilitates data generation for Databricks Apps using serverless resources, integrating UI-driven demo development with specific developer subagents and Lakebase integration features.

How do I select the right Databricks workspace environment for my demo deployment?▼

You can select the right Databricks workspace environment by matching your specific demo requirements against available options like FE-VM or e2-demo workspaces during the planning phase.

Can I use Lakebase integration when creating Databricks demos?▼

Yes, you can leverage Lakebase integration when creating customer-facing application demos, utilizing specific Databricks development guidelines for apps, data generation, and deployment orchestration.

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