databricks-app-apx

Scaffolds Databricks applications with FastAPI backends and React frontends using APX.

Updated Sep 9, 2017
One-click install
npx skills add https://github.com/mirakui/dotfiles --skill databricks-app-apx-mirakui
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: databricks-app-apx
Source: https://github.com/mirakui/dotfiles/tree/main/claude/skills/databricks-app-apx
Command: npx skills add https://github.com/mirakui/dotfiles --skill databricks-app-apx-mirakui

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Enables teams to bootstrap end-to-end Databricks applications by integrating a FastAPI backend with a React frontend using the APX framework, reducing setup time and boilerplate.

Core Features & Use Cases

  • End-to-end scaffold for Databricks apps with FastAPI and React, including backend models, CRUD routes, mock data, and OpenAPI integration.
  • Frontend UI templates, navigation wiring, and skeleton loading patterns to accelerate UI development.
  • Deployment guidance to Databricks and workflow phases (Initialize, Backend, Frontend, Test, Document) for repeatable project setup.

Quick Start

Initialize an APX Databricks app by running the APX setup to scaffold the project with a FastAPI backend and React frontend.

Frequently Asked Questions about databricks-app-apx

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

FAQPage Schema
How do I scaffold a full-stack Databricks app with FastAPI and React?

To scaffold a full-stack Databricks app, this framework automates project setup using FastAPI and React. It generates backend models, CRUD routes, mock data, and OpenAPI integration to reduce boilerplate.

What is the APX framework for Databricks applications?

The APX framework integrates a FastAPI backend with a React frontend for Databricks applications. It enforces a 3-model backend pattern, operation_id naming, and OpenAPI-driven frontend hooks to streamline data-centric web app development.

How do I set up backend API routing and frontend integration for a Databricks app?

You set up API routing and frontend integration by enforcing operation_id naming and using OpenAPI-driven frontend hooks. This workflow connects FastAPI backend routes directly with React frontend UI templates and navigation wiring.

Can I use this scaffolding tool for data-centric web apps deployed on Databricks?

Yes, this scaffolding tool targets software engineering teams building data-centric web apps deployed on Databricks. It provides stepwise project phases including Initialize, Backend, Frontend, Test, and Document for repeatable deployment workflows.

What is the best way to initialize mock data and backend models for a FastAPI Databricks app?

The best way to initialize mock data and backend models is through the automated APX setup phase. It scaffolds the 3-model backend pattern and populates initial mock data to accelerate end-to-end Databricks application development.

What are the limitations of using APX for Databricks app development?

A limitation of using APX is its strict architectural constraint: it enforces a specific 3-model backend pattern and operation_id naming convention, requiring teams to adopt its structured stepwise phases rather than custom project architectures.