fastapi-development_skill

This skill helps you build modern FastAPI backends with async patterns, Pydantic validation, and production-ready deployment strategies.
  • Shell

40

GitHub Stars

3

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

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npx veilstrat add skill manutej/luxor-claude-marketplace --skill fastapi-development

  • EXAMPLES.md39.2 KB
  • README.md9.8 KB
  • SKILL.md25.4 KB

Overview

This skill teaches modern Python API development with FastAPI, focusing on async patterns, Pydantic validation, dependency injection, security, and production deployment. It equips developers to build high-performance, type-safe APIs with automatic OpenAPI docs and robust testing and deployment workflows.

How this skill works

The skill walks through building a FastAPI app, defining Pydantic models for validation and serialization, and organizing endpoints with routers and dependencies. It covers when to use async vs sync endpoints, async database patterns, authentication (OAuth2/JWT), background tasks, and deployment best practices with ASGI servers. Practical examples show routing, query/path validation, response models, and dependency injection patterns for reusable logic.

When to use it

  • Building RESTful APIs for web, mobile, or microservices
  • Creating high-performance asynchronous backends with async I/O
  • Adding automatic OpenAPI/Swagger documentation and typed request/response validation
  • Implementing OAuth2/JWT authentication or API-key security
  • Integrating SQL or NoSQL databases with sync or async drivers
  • Migrating from Flask or Django REST Framework to a type-safe framework

Best practices

  • Prefer async def for I/O-bound work and def for CPU-bound or sync libraries
  • Use Pydantic models for request/response schemas and enable orm_mode for DB models
  • Factor reusable logic into Depends dependencies and class-based dependencies for pagination/auth
  • Validate query/path parameters with Query and Path for clear error messages and docs
  • Run FastAPI under a production ASGI server (uvicorn/gunicorn) and handle startup/shutdown events for DB connections
  • Write tests using TestClient and include async tests for endpoints relying on async drivers

Example use cases

  • Public REST API with typed endpoints, pagination, and search filters
  • Microservice exposing JSON APIs with async DB access and concurrent external API calls
  • Authenticated user service with OAuth2 password flow, JWT tokens, and password hashing
  • Real-time features using WebSocket endpoints alongside REST routes
  • Migration of endpoints from Flask/Django to FastAPI with improved validation and autogenerated docs

FAQ

No. Use async for I/O-bound operations (async DB drivers, HTTP clients). Use sync endpoints when working with synchronous libraries or CPU-bound work.

How do I protect sensitive fields like passwords in responses?

Return response models that exclude sensitive fields (define separate response Pydantic models) and use orm_mode for DB objects so hashed passwords are not exposed.

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fastapi-development skill by manutej/luxor-claude-marketplace | VeilStrat