fastapi-development

Design and implement FastAPI applications with Pydantic validation, dependency injection, and async SQLAlchemy.

Updated Sep 14, 2026
One-click install
npx skills add https://github.com/Lawrence908/chiron --skill fastapi-development-lawrence908
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: fastapi-development
Source: https://github.com/Lawrence908/chiron/tree/main/plugins/dev/skills/fastapi-development
Command: npx skills add https://github.com/Lawrence908/chiron --skill fastapi-development-lawrence908

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Building FastAPI backends without a clear structure leads to tangled route handlers, missing validation, inconsistent error handling, and sync/async mistakes that are hard to debug later. This Skill provides a repeatable workflow for structuring, securing, and scaling FastAPI applications correctly from the start. ## Core Features & Use Cases - Project Scaffolding & Architecture: Plan MVP scope and organize code into domain-driven modules (routers, services, models, schemas) instead of flat structures. - Validation & Error Handling: Enforce Pydantic request/response models, proper HTTP status codes, and safe error responses that never leak sensitive data. - Auth & Database Integration: Implement OAuth2/JWT authentication, dependency injection for shared resources, and async SQLAlchemy database access. - Use Case: When building a fantasy sports backend MVP, use this Skill to define scope, create domain modules like fantasy/ and arena/, wire up async database sessions, and add token-based auth without putting business logic in route handlers. ## Quick Start Help me design and scaffold a new FastAPI application with Pydantic models, async SQLAlchemy, and JWT authentication following best practices.

Frequently Asked Questions about fastapi-development

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

FAQPage Schema
How do I structure a FastAPI project for a larger application?▼

Use domain-driven modules where each business domain (e.g., fantasy, arena, staking) contains its own models.py, schemas.py, router.py, and service.py. Include routers from each module in the main app and keep business logic in a service layer rather than route handlers.

How do I add JWT or OAuth2 authentication to FastAPI endpoints?▼

Use OAuth2PasswordBearer from fastapi.security and inject the token into routes with Depends. Combine this with dependency injection for database sessions so protected endpoints validate the bearer token before executing business logic.

Should I use sync or async SQLAlchemy with FastAPI?▼

Use async SQLAlchemy with AsyncSession for database operations in FastAPI. Mixing synchronous queries into async route handlers blocks the event loop and degrades performance under concurrent load.

Why should I use Pydantic response models in FastAPI?▼

Pydantic response models validate and serialize outgoing data, preventing database models or sensitive fields from leaking into API responses. They also generate accurate OpenAPI documentation automatically.

What are common FastAPI mistakes to avoid?▼

Common mistakes include putting business logic in route handlers, skipping input validation, exposing database models directly, returning generic 500 errors, and mixing sync and async code. Use a service layer, Pydantic validation, and proper HTTP status codes instead.