skills.rest
arinbalyan
arinbalyanCOMMUNITY
Explore all skills by this author →
Website𝕏@arinbalyanGitHub

fastapi-patterns

Enforce FastAPI patterns for async endpoints, Pydantic v2 validation, and dependency injection.

Updated Aug 23, 2026
Search Tags:#routing#fastapi#openapi#async#error-handling#dependency-injection#pydantic-v2
One-click install
npx skills add https://github.com/arinbalyan/config --skill fastapi-patterns-arinbalyan
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: fastapi-patterns
Source: https://github.com/arinbalyan/config/tree/main/skills/fastapi-patterns
Command: npx skills add https://github.com/arinbalyan/config --skill fastapi-patterns-arinbalyan

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Developers often struggle to implement consistent, scalable FastAPI patterns, leading to duplicated code and maintenance bottlenecks.

Core Features & Use Cases

  • Async-first endpoints: All handlers use async def for non-blocking I/O.
  • Strong data validation: Pydantic v2 models with validators for request/response data.
  • Dependency injection: Centralized DB connections, auth, and config via Depends().
  • Robust error handling: Centralized HTTPException handlers and structured error models.
  • Modular routing: APIRouter usage with prefixes and tags for clean organization.
  • Configuration & observability: CORS settings, logging, and lifespan events for startup/shutdown.
  • Documentation readiness: Explicit OpenAPI tags and descriptions for auto-generated docs.

Quick Start

Create a minimal FastAPI app following these patterns, define a sample model, register it with a router, enable CORS for allowed origins, and run the app with uvicorn main:app --reload.

Frequently Asked Questions about fastapi-patterns

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

FAQPage Schema
How do I structure a scalable FastAPI backend with async endpoints and dependency injection?▼

Build scalable FastAPI backends using async def endpoints, centralized Depends() for DB connections and auth, and APIRouter with prefixes. This enforces modular routing, non-blocking I/O, and maintainable microservice architecture.

What is the best way to handle errors and data validation in FastAPI using Pydantic v2?▼

FastAPI error handling centralizes HTTPException handlers with structured error models, while Pydantic v2 models enforce strong request and response data validation to ensure robust API reliability.

How do I configure OpenAPI tags and CORS settings for FastAPI auto-generated documentation?▼

FastAPI documentation readiness requires explicit OpenAPI tags and descriptions on APIRouter endpoints, combined with configured CORS settings for allowed origins to generate accurate auto-docs.

Does this FastAPI pattern support lifespan events for startup and shutdown configuration?▼

FastAPI patterns support lifespan events for startup and shutdown configuration, enabling settings-driven observability and logging. This maintains structured lifecycle management for backend microservices.

Why should I use APIRouter with prefixes and tags for modular routing in FastAPI?▼

APIRouter enforces modular routing in FastAPI by grouping endpoints with prefixes and OpenAPI tags, preventing duplicated code and maintenance bottlenecks in scalable microservices.

Related Skills

Explore More Software Engineering Skills→
MakisuoMakisuo
1.6k

clickhousectl-local-dev

Install and configure a local ClickHouse environment with clickhousectl.

Community
Intermediate
corbits-infracorbits-infra
1

corbits

Discover Corbits API proxies, fetch OpenAPI specs, and execute API calls.

Official
Advanced
jezwebjezweb
961

fastapi

Generate FastAPI projects with JWT authentication and async SQLAlchemy.

Community
Intermediate
jawwad-alijawwad-ali
4

fastapi

Build scalable FastAPI-based Python APIs with routers, dependencies, and Pydantic models.

Community
Advanced