fastapi-templates

Generate FastAPI application templates with async routing, dependency injection, and layered architecture.

Updated May 16, 2026
One-click install
npx skills add https://github.com/p-o-ke-nae/pokemondamagecalculatorforstory --skill fastapi-templates-p-o-ke-nae
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fastapi-templates
Source: https://github.com/p-o-ke-nae/pokemondamagecalculatorforstory/tree/main/.github/skills/fastapi-templates
Command: npx skills add https://github.com/p-o-ke-nae/pokemondamagecalculatorforstory --skill fastapi-templates-p-o-ke-nae

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill removes the friction of setting up a reliable FastAPI backend by providing a production-ready structure for async APIs, layered architecture, and maintainable code organization.

Core Features & Use Cases

  • Async application structure: Start FastAPI projects with patterns that support async routes, async database access, and scalable service design.
  • Dependency injection and layering: Organize code into routers, services, repositories, schemas, and core utilities for cleaner maintenance.
  • Authentication and testing: Build APIs with secure token-based access, consistent error handling, and testable endpoints.
  • Use case: Use it when launching a new backend service, refactoring a monolith into modular API components, or standardizing team conventions for Python web services.

Quick Start

Ask for a production-ready FastAPI project template with async routing, dependency injection, repository and service layers, authentication, and testing scaffolding.

Frequently Asked Questions about fastapi-templates

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

FAQPage Schema
How do I structure a production-ready FastAPI application with async database access?

Structure a production-ready FastAPI application by separating routing, service logic, and repository layers. This pattern supports async database access, dependency injection, and maintainable code organization without assembling scaffolding from scratch.

What is the best way to set up dependency injection and routing in a FastAPI project?

Set up dependency injection in a FastAPI project by dividing code into routers, services, repositories, and schemas. This layered architecture ensures cleaner maintenance and scalable service design for web services.

How do I add authentication and testing scaffolding to a FastAPI backend?

Add authentication and testing scaffolding to a FastAPI backend by implementing secure token-based access and testable endpoints. This provides consistent error handling and secure authentication workflows for your API.

Does this FastAPI template support refactoring a monolith into modular microservices?

Yes, this FastAPI template supports refactoring a monolith into modular API components. It provides organized routing, repository layers, and service logic suitable for standardizing team conventions for Python web services.

When do I need a repository pattern in my FastAPI async API?

You need a repository pattern in your FastAPI async API when separating data access logic from business service layers. This pattern eliminates friction when setting up reliable backends and maintains organized routing for scalable services.