fastapi

Implement FastAPI patterns for JWT authentication, async data access, and validation.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides production-grade FastAPI patterns and best practices, enabling developers to build secure, scalable APIs with modern Python tooling.

Core Features & Use Cases

  • Production-tested patterns for FastAPI with Pydantic v2, SQLAlchemy 2.0 async, and JWT authentication.
  • Domain-based project structure with clear separation of concerns (auth, items), async I/O, and dependency injection.
  • Guidance for testing, deployment, and common pitfalls, including openAPI, CORS, and validation.

Quick Start

Create a new FastAPI project, install dependencies, and run the app to explore the provided patterns.

Frequently Asked Questions about fastapi

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

FAQPage Schema
How do I structure a FastAPI project for domain-driven design and async database access?

FastAPI authentication uses JWT-based patterns to secure endpoints, combined with Pydantic v2 for robust validation and dependency injection to manage user verification across domain-based modules.

What is the best way to handle async data access and validation in FastAPI?

FastAPI async data access leverages SQLAlchemy 2.0 async patterns for non-blocking I/O, while Pydantic v2 schemas enforce robust validation and dependency injection manages database sessions.

Does FastAPI work with JWT authentication and Pydantic v2 for production APIs?

FastAPI supports JWT authentication and Pydantic v2 for production APIs, providing secure token-based auth, robust validation, correct HTTP status codes, and dependency injection across scalable endpoints.

What are common FastAPI pitfalls with CORS, OpenAPI, and validation?

Common FastAPI pitfalls include misconfigured CORS, incomplete OpenAPI schemas, and insufficient Pydantic validation, resolved by applying production-grade patterns for correct status codes and comprehensive input checks.

How do I test and deploy a scalable async FastAPI application?

Testing and deploying a scalable async FastAPI application requires domain-driven structure, async I/O, and dependency injection patterns to ensure consistent behavior across environments during deployment.