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kamelmh
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fastapi-expert

Build FastAPI applications with Pydantic V2 schemas and async SQLAlchemy.

Updated Aug 23, 2026
Search Tags:#pydantic#fastapi#openapi#websockets#sqlalchemy#jwt-authentication#async-python
One-click install
npx skills add https://github.com/kamelmh/opencode-config --skill fastapi-expert-kamelmh
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: fastapi-expert
Source: https://github.com/kamelmh/opencode-config/tree/main/skills/fastapi-expert
Command: npx skills add https://github.com/kamelmh/opencode-config --skill fastapi-expert-kamelmh

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill removes the friction of building modern Python APIs by guiding you through async FastAPI architecture, validation, authentication, database access, testing, and documentation in a production-ready way.

Core Features & Use Cases

  • FastAPI endpoint design: Create clean REST routes with proper status codes, dependencies, and router organization.
  • Pydantic V2 schemas: Define request and response models with modern validation, field constraints, and from_attributes support.
  • Async data and auth flows: Implement SQLAlchemy 2.0 async sessions, JWT authentication, OAuth2 login, and secure password handling.
  • Use cases: Build new APIs, add WebSocket endpoints, migrate Django services to FastAPI, or generate OpenAPI-friendly backend scaffolding for a Python service.

Quick Start

Ask for a FastAPI implementation that includes Pydantic V2 models, async SQLAlchemy CRUD, JWT authentication, and complete router code for your endpoint requirements.

Frequently Asked Questions about fastapi-expert

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

FAQPage Schema
How do I build a production-ready FastAPI application with async SQLAlchemy and JWT authentication?▼

Build production-ready FastAPI applications by structuring async REST services with SQLAlchemy 2.0 async sessions, JWT authentication, and Pydantic V2 validation for reliable API delivery.

What is the best way to design Pydantic V2 schemas for FastAPI request validation?▼

Design Pydantic V2 schemas by defining request and response models with modern validation, field constraints, and from_attributes support to ensure robust FastAPI data validation.

How do I implement WebSocket endpoints in an async FastAPI service?▼

Implement WebSocket endpoints in async FastAPI services by using type-hinted async code and Annotated dependencies to manage real-time routing and connections effectively.

How do I handle SQLAlchemy database transactions safely in FastAPI?▼

Handle SQLAlchemy database transactions safely in FastAPI by applying safe commit-refresh transaction patterns during async CRUD operations to maintain reliable database access.

Does FastAPI work with OAuth2 password flows and JWT authentication?▼

Yes, FastAPI works with OAuth2 password flows and JWT authentication, allowing you to implement secure password handling and login routes within your async API architecture.

How do I migrate a Django REST service to FastAPI?▼

Migrate Django services to FastAPI by scaffolding OpenAPI-friendly backend layers with clean REST routes, Pydantic schemas, and async database access to replace existing endpoints.

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