fastapi-pro

Build async FastAPI microservices with SQLAlchemy 2.0 and Pydantic V2.

Updated Feb 19, 2026
One-click install
npx skills add https://github.com/angga30/antigravity-skill-tech-lead --skill fastapi-pro-angga30
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fastapi-pro
Source: https://github.com/angga30/antigravity-skill-tech-lead/tree/main/fastapi-pro
Command: npx skills add https://github.com/angga30/antigravity-skill-tech-lead --skill fastapi-pro-angga30

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Builds production-grade, high-performance async APIs using FastAPI, SQLAlchemy 2.0, and Pydantic V2, enabling scalable microservices and real-time features.

Core Features & Use Cases

  • Async-first API design with FastAPI, including WebSocket support and background tasks.
  • Async ORM integration with SQLAlchemy 2.0 for scalable data access and migrations.
  • Strong typing and data validation with Pydantic V2 and automatic OpenAPI docs.
  • Security and authentication patterns (OAuth2/JWT, RBAC), plus robust error handling and testing.
  • Observability and deployment readiness (logging, tracing, Docker/Kubernetes, CI/CD).

Quick Start

Create a starter FastAPI project that demonstrates an async CRUD API with JWT authentication and Docker deployment.

Frequently Asked Questions about fastapi-pro

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

FAQPage Schema
How do I build production-grade async APIs with FastAPI?

Production-grade async APIs with FastAPI require async-first development, Pydantic v2 data validation, SQLAlchemy 2.0 integration, and deployment readiness using Docker and Kubernetes for scalable microservices.

What's the best way to integrate SQLAlchemy 2.0 with FastAPI for scalable data access?

Integrating SQLAlchemy 2.0 with FastAPI involves using async ORM patterns to enable scalable data access and database migrations, ensuring non-blocking database operations within your async API architecture.

Does FastAPI work with Pydantic v2 for data validation and automatic OpenAPI docs?

FastAPI works natively with Pydantic v2 to enforce strong typing and data validation, automatically generating OpenAPI documentation to maintain robust API contracts across microservices.

How do I add WebSocket endpoints and background tasks to a FastAPI microservice?

Adding WebSocket endpoints and background tasks to a FastAPI microservice involves using the framework's async-first API design capabilities to handle real-time features and asynchronous background processing efficiently.

Can I implement OAuth2 JWT authentication and RBAC in a FastAPI application?

You can implement OAuth2 JWT authentication and role-based access control (RBAC) in FastAPI by applying built-in security patterns, ensuring robust access management and protected API endpoints.

How do I deploy a FastAPI microservice using Docker and Kubernetes?

Deploying a FastAPI microservice with Docker and Kubernetes requires packaging the async API with containerization configurations and setting up CI/CD pipelines for observability, logging, and tracing readiness.