fastapi

Guide FastAPI development with best practices for RESTful APIs.

3|Updated Dec 22, 2025
One-click install
npx skills add https://github.com/JoaquinCampo/Skills --skill fastapi-joaquincampo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fastapi
Source: https://github.com/JoaquinCampo/Skills/tree/main/fastapi
Command: npx skills add https://github.com/JoaquinCampo/Skills --skill fastapi-joaquincampo

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Developers often struggle to apply FastAPI conventions consistently across projects while keeping up with new features and patterns. This skill consolidates proven practices around API design, typing with Pydantic, dependency management, routing, and deployment readiness to streamline development. It provides actionable guidance that can be applied directly to your FastAPI codebase.

Core Features & Use Cases

  • Best practices for building FastAPI APIs and Pydantic models, staying up to date with the latest features and patterns.
  • Guidance on CLI usage, entrypoints, routing organization, and performance considerations.
  • Recommendations for dependency injection, async vs sync operations, and router composition to build scalable applications.

Quick Start

Install your FastAPI project and run the development server with fastapi dev.

Frequently Asked Questions about fastapi

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

FAQPage Schema
What are the best practices for structuring FastAPI routers and organizing API routes?

FastAPI router composition best practices involve modularizing endpoints into distinct APIRouters and registering them via include_router. This approach maintains clean architecture, scales routing across common project sizes, and streamlines dependency management.

How do I handle async vs sync operations in FastAPI for better performance?

FastAPI handles async vs sync operations by executing async path operations on the event loop and sync operations in a threadpool. Using async for I/O-bound tasks and sync for CPU-bound tasks prevents blocking and optimizes application performance.

How do I validate request parameters and build models with Pydantic in FastAPI?

Validating request parameters and building models with Pydantic in FastAPI requires defining BaseModel classes with strict type hints. FastAPI automatically validates incoming data against these schemas, reducing boilerplate and ensuring data integrity.

When should I use dependency injection in my FastAPI application?

Dependency injection in FastAPI should be used to share logic across endpoints, manage database connections, and enforce security policies. It streamlines code reuse, handles lifecycle events, and builds scalable applications by resolving dependencies automatically.

Does this guidance cover FastAPI deployment readiness and CLI usage?

This guidance covers FastAPI deployment readiness and CLI usage by providing actionable recommendations for entrypoints and the fastapi dev command. It ensures your codebase meets architectural standards for production.