fastapi-project-setup

Initialize a FastAPI backend scaffold with uv and ruff configuration.

3|Updated Jan 20, 2026
One-click install
npx skills add https://github.com/agusmdev/burntop --skill fastapi-project-setup
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fastapi-project-setup
Source: https://github.com/agusmdev/burntop/tree/main/.claude/skills/fastapi-project-setup
Command: npx skills add https://github.com/agusmdev/burntop --skill fastapi-project-setup

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill initializes a FastAPI project with uv, pyproject.toml, ruff configuration, and environment files to give developers a ready-to-use backend scaffold.

Core Features & Use Cases

  • Project scaffolding: Creates a clean FastAPI backend structure with a conventional layout (src/app) and an initial directory tree.
  • Tooling & configuration: Generates pyproject.toml, .python-version, ruff.toml, and .env.example to standardize development environments.
  • Quick Start ready: Provides initial commands to initialize, install, and run the project using uv, ensuring a smooth start for new services.

Quick Start

uv init Create pyproject.toml with the dependencies and build configuration. Create .python-version with the target Python version (e.g., 3.12). Create ruff.toml to configure linting rules and tooling. Create .env.example and set up the initial environment variables. Set up the src/app directory structure, then install dependencies with uv sync.

Frequently Asked Questions about fastapi-project-setup

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

FAQPage Schema
How do I set up a new FastAPI project with uv?

You can scaffold a FastAPI project by running uv init, generating pyproject.toml and .python-version, configuring ruff.toml for linting, creating an .env.example, and setting up the src/app directory structure before running uv sync.

What is the standard project structure for a FastAPI backend?

The standard FastAPI backend structure uses a conventional src/app directory layout, combined with pyproject.toml for dependencies, ruff.toml for linting, and .env.example for environment variables to ensure consistent development environments.

Do I need uv to initialize a FastAPI backend project?

Yes, uv is required for this FastAPI initialization approach. The process relies on uv-based initialization to manage dependencies via uv sync and standardize the development environment across testing and deployment workflows.

How does ruff configuration work in a FastAPI project?

Ruff configuration works by generating a ruff.toml file during project initialization, which standardizes linting rules and tooling for the FastAPI backend to maintain code quality across the development workflow.

Can I use this FastAPI scaffolding for testing and deployment workflows?

Yes, you can use this FastAPI scaffolding for testing and deployment. It applies to new backend projects requiring consistent scaffolding and tooling to standardize environments across development, testing, and deployment workflows.

What's the best way to configure environment variables for a new FastAPI project?

The best way to configure environment variables is to create an .env.example file during project initialization, setting up initial environment variables to provide a clean, ready-to-use backend scaffold for development.