fastapi

Outline FastAPI endpoint best practices with Pydantic models for API design reviews.

Updated Jan 29, 2026
One-click install
npx skills add https://github.com/yldgio/codereview-skills --skill fastapi-yldgio
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fastapi
Source: https://github.com/yldgio/codereview-skills/tree/main/skills/fastapi
Command: npx skills add https://github.com/yldgio/codereview-skills --skill fastapi-yldgio

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps developers ensure FastAPI endpoint designs are robust, validated, and maintainable by guiding structured API design, Pydantic validation, and asynchronous patterns.

Core Features & Use Cases

  • Endpoint design validation: enforce correct HTTP methods, path parameters, query handling, and typed response models.
  • Security & validation: promote proper authentication, input sanitization, CORS, and safe error handling with HTTPException.
  • Asynchronous patterns & DI: encourage async endpoint handlers and dependency injection for services and databases.
  • Use Case: During a code review of a new FastAPI service, apply these guidelines to ensure consistency, testability, and scalable performance.

Quick Start

Use the FastAPI skill during reviews to verify that endpoints are well-structured, validated, and secure. For example, review /items/{item_id} to confirm proper models, DI usage, and documented responses.

Frequently Asked Questions about fastapi

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

FAQPage Schema
How do I structure secure and scalable FastAPI endpoints with Pydantic?

Structure FastAPI endpoints by defining typed Pydantic models for requests and responses, using APIRouter for routing, and applying dependency injection for services to ensure secure, scalable, and maintainable API designs.

What's the best way to handle validation and error handling in FastAPI?

Handle validation and error handling in FastAPI by enforcing input sanitization with Pydantic models and returning safe, standardized error responses using HTTPException for consistent API behavior.

How does dependency injection work for async database services in FastAPI?

Dependency injection for async database services in FastAPI works by injecting service dependencies directly into async endpoint handlers, promoting testability and decoupling database logic from route definitions.

Can I use FastAPI for microservice architectures and public APIs?

Yes, you can use FastAPI for microservice architectures and public APIs. Its asynchronous execution, automated OpenAPI documentation, and structured routing with APIRouter support scalable and well-distributed service designs.

What security patterns should I apply during a FastAPI code review?

Apply FastAPI security patterns during code review by verifying proper authentication, checking CORS configurations, ensuring input sanitization, and validating that endpoints document responses correctly in the OpenAPI schema.

When do I need to use async endpoint handlers in FastAPI?

Use async endpoint handlers in FastAPI when your routes interact with I/O bound operations like databases or external services, ensuring non-blocking execution to maintain scalable performance across microservice architectures.