fastapi-backend-guidelines

Standardize FastAPI backend development with layered architecture and async patterns.

51|39|Updated Dec 30, 2025
One-click install
npx skills add https://github.com/chacha95/claude-code-harness --skill fastapi-backend-guidelines
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fastapi-backend-guidelines
Source: https://github.com/chacha95/claude-code-harness/tree/main/.claude/skills/fastapi-backend-guidelines
Command: npx skills add https://github.com/chacha95/claude-code-harness --skill fastapi-backend-guidelines

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The guidelines provide a centralized, reusable blueprint for building FastAPI backends with a focus on Domain-Driven Design, modular architecture, and robust async patterns, reducing cognitive load and ensuring consistency across teams.

Core Features & Use Cases

  • Layered architecture (Router → Service → Repository)
  • Async/await patterns and dependency injection
  • SQLModel/SQLAlchemy ORM usage
  • DTOs via Pydantic and validation
  • Error handling and domain exceptions
  • Full example-driven guidance for new projects

Quick Start

Review the FastAPI backend guidelines in this skill to start applying layered architecture and domain-driven design patterns in your project.

Frequently Asked Questions about fastapi-backend-guidelines

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

FAQPage Schema
How do I structure a FastAPI backend with domain-driven design?

Structure your FastAPI backend using a three-layer pattern: Router → Service → Repository. This enforces domain-driven design, modular architecture, and async patterns, ensuring consistency across teams.

What is the best way to manage ORM usage and DTO validation in FastAPI?

Manage ORM usage with SQLModel and handle DTO validation via Pydantic. Standardizing these practices ensures consistent data transfer objects and validation across your services, repositories, and routers.

How does error handling work in a layered FastAPI architecture?

Error handling in a layered FastAPI architecture uses domain exceptions and middleware-based error handling. This standardizes error management across services, repositories, and routers for consistent API responses.

Can I use async/await patterns and dependency injection across all layers in FastAPI?

Yes, you can use async/await patterns and dependency injection across all layers in FastAPI. Applying these practices standardizes API design, routing, and service execution for robust backend development.

Do I need SQLModel to follow these FastAPI backend guidelines?

Yes, these FastAPI backend guidelines enforce SQLModel and SQLAlchemy ORM usage. Applying SQLModel ensures your repository layer maintains standardized async database interactions and DTO validation.