python-fastapi-patterns

Scaffold FastAPI services with patterns for endpoints, models, DI, and middleware.

29|6|Updated Nov 27, 2025
One-click install
npx skills add https://github.com/0xDarkMatter/claude-mods --skill python-fastapi-patterns
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: python-fastapi-patterns
Source: https://github.com/0xDarkMatter/claude-mods/tree/main/skills/python-fastapi-patterns
Command: npx skills add https://github.com/0xDarkMatter/claude-mods --skill python-fastapi-patterns

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) and references (resource) and scripts (resource) components.

What problem does it solve?

This Skill provides production-ready patterns for building FastAPI applications with DI, validation, middleware, and testing patterns.

Core Features & Use Cases

  • Dependency Injection patterns and testability
  • Request/Response models with Pydantic
  • Router organization, middleware, and error handling
  • Background tasks and API testing patterns

Quick Start

Scaffold a FastAPI endpoint using the included fastapi-template and adapt it to your domain.

Frequently Asked Questions about python-fastapi-patterns

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

FAQPage Schema
How do I structure a FastAPI application for production use?

FastAPI applications need organized routing, middleware, error handling, and configuration management. This Skill provides reusable patterns for endpoint design, dependency injection, request/response validation with Pydantic, and environment-based configuration—all scaffolded through included templates for rapid, consistent API development.

What's the best way to handle dependency injection in FastAPI?

Dependency injection in FastAPI improves testability and code reuse by decoupling business logic from request handling. This Skill covers DI patterns, Pydantic model validation, and lifespan management, enabling you to inject dependencies cleanly into endpoints and background tasks.

How do I validate request and response data in FastAPI with Pydantic v2?

Pydantic v2 models enforce schema validation for all incoming and outgoing data. This Skill demonstrates request/response model patterns, path and query parameter handling, and structured error responses—ensuring type safety and automatic OpenAPI documentation.

Can I use FastAPI for production APIs with error handling and logging?

Yes. This Skill provides production-ready patterns including structured error handling, middleware configuration, health checks, and logging—alongside router organization and background task management—all integrated with uvicorn and OpenAPI/Swagger for robust async REST APIs.

How do I quickly scaffold a new FastAPI endpoint?

Use the included fastapi-template and scaffold script to generate consistent endpoint boilerplate. Adapt the template to your domain, and the Skill's patterns for routing, validation, and DI ensure your endpoint follows production standards from the start.

What patterns should I follow for router organization and middleware in FastAPI?

This Skill covers router organization for modular endpoint grouping, middleware patterns for cross-cutting concerns, and lifespan management. These patterns scale cleanly as your API grows and integrate with Pydantic validation and dependency injection.