moai-lang-python

Generate FastAPI apps with CRUD endpoints and pytest tests.

Updated Nov 24, 2025
One-click install
npx skills add https://github.com/jg-chalk-io/Nora-LiveKit --skill moai-lang-python-jg-chalk-io
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: moai-lang-python
Source: https://github.com/jg-chalk-io/Nora-LiveKit/tree/main/.claude/skills/moai-lang-python
Command: npx skills add https://github.com/jg-chalk-io/Nora-LiveKit --skill moai-lang-python-jg-chalk-io

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill codifies enterprise Python patterns with FastAPI/Django, async, and testing best practices.

Core Features & Use Cases

  • Async APIs: FastAPI patterns, Pydantic validation.
  • ORM & DB: SQLAlchemy usage patterns.
  • Testing: pytest patterns.

Quick Start

Scaffold a FastAPI app with a basic CRUD endpoint and pytest tests.

Frequently Asked Questions about moai-lang-python

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

FAQPage Schema
How do I build a FastAPI REST API with async endpoints and pytest testing?

FastAPI with async endpoints enables non-blocking request handling. This Skill provides production-ready patterns for scaffolding FastAPI apps with CRUD endpoints, Pydantic validation, SQLAlchemy ORM integration, and pytest test suites—covering dependency injection, typing, and deployment readiness for REST APIs and microservices.

What's the best way to structure async database operations with SQLAlchemy and asyncio in Python?

Async database operations in Python require proper SQLAlchemy session management within asyncio event loops. This Skill codifies enterprise patterns for async CRUD operations, ORM usage, connection pooling, and validation—eliminating blocking calls and scaling microservices efficiently.

Can I use Django with async views and SQLAlchemy for a production API?

Django supports async views in modern versions, and SQLAlchemy works alongside Django ORMs. This Skill covers both FastAPI and Django patterns with async, ORM best practices, Pydantic validation, and pytest testing—enabling you to choose the framework that fits your requirements.

How do I test async FastAPI endpoints with pytest?

pytest supports async tests with proper fixtures and event loop handling. This Skill provides pytest patterns specifically for async FastAPI endpoints, covering CRUD test scenarios, mocking, dependency injection in tests, and ensuring your async APIs are production-ready.

What validation framework works best with FastAPI and async operations?

Pydantic is the validation standard for FastAPI, integrating seamlessly with async request handling. This Skill demonstrates Pydantic validation patterns, type hints, and integration with async CRUD operations—ensuring data integrity in REST APIs without blocking.