fastapi

Generate FastAPI project structures with routing, Pydantic models, and testing.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/zeeshan080/ezee-erp --skill fastapi-zeeshan080
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fastapi
Source: https://github.com/zeeshan080/ezee-erp/tree/main/.claude/skills/fastapi
Command: npx skills add https://github.com/zeeshan080/ezee-erp --skill fastapi-zeeshan080

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill helps developers build high-performance FastAPI applications quickly by providing reusable patterns, an organized project layout, and practical examples that streamline API development.

Core Features & Use Cases

  • Routing and Dependency Injection patterns for modular API design.
  • Pydantic models, schemas, and data validation aligned with FastAPI best practices.
  • Background tasks, WebSockets, testing support, and deployment-ready structure for production.
  • Use Case: Build a small task-tracking API or an admin service with authenticated routes.

Quick Start

Install dependencies and run a development server with the following commands:

  • pip install fastapi uvicorn[standard]
  • uvicorn app.main:app --reload --host 0.0.0.0 --port 8000

Frequently Asked Questions about fastapi

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

FAQPage Schema
What is the best way to structure a FastAPI project for production?

You can build modular APIs in FastAPI using routing and dependency injection patterns. These features allow you to separate concerns, organize code into reusable components, and enforce consistency across services from simple microservices to production-grade applications.

How do I validate request data using Pydantic models in FastAPI?

You validate request data in FastAPI by defining Pydantic models and schemas. FastAPI uses these models automatically to validate incoming data types, ensuring data integrity aligned with best practices before processing requests.

Does FastAPI support WebSockets and background tasks for real-time applications?

FastAPI supports WebSockets and background tasks for real-time API development. You can handle persistent bidirectional connections and execute non-blocking operations within a production-ready project structure.

How do I set up testing for a FastAPI application?

You set up testing for a FastAPI application by utilizing the provided testing support and standard project structure. The included tests directory helps validate routing, dependency injection, and Pydantic schemas efficiently.

Can I use this FastAPI structure for microservices?

You can use this FastAPI structure for microservices. The provided templated router and modular layout apply to projects ranging from simple microservices to production-grade APIs, ensuring architectural consistency across distributed services.

What dependencies do I need to run a FastAPI development server?

To run a FastAPI development server you need to install fastapi and uvicorn with the standard extras. You then start the server using the uvicorn command with reload enabled on your specified host and port.