moai-lang-python

Assist Python 3.13+ development with FastAPI, Django, asyncio, Pydantic, SQLAlchemy, and pytest.

Updated Feb 19, 2026

Search Tags:#pytest #pydantic #fastapi #python #asyncio #sqlalchemy #django

Ready to run

npx skills add https://github.com/taewook486/real-estate-mcp --skill moai-lang-python-taewook486

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: moai-lang-python
Source: https://github.com/taewook486/real-estate-mcp/tree/main/.claude/skills/moai-lang-python
Command: npx skills add https://github.com/taewook486/real-estate-mcp --skill moai-lang-python-taewook486

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines Python development by providing expert assistance with modern language features, popular frameworks like FastAPI and Django, robust testing with pytest, and efficient package management.

Core Features & Use Cases

Code Generation & Refinement: Get help writing, debugging, and optimizing Python code.
Framework Support: Leverage expertise in FastAPI, Django, SQLAlchemy, and Pydantic for web development and data handling.
Testing & Quality: Implement best practices for testing with pytest and ensure code quality with type hints.
Use Case: Develop a new FastAPI endpoint, including data validation with Pydantic, database interaction with SQLAlchemy, and unit tests using pytest.

Quick Start

Write a FastAPI endpoint to create a new user, validating input with Pydantic and saving to the database using SQLAlchemy.

Frequently Asked Questions about moai-lang-python

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

FAQPage Schema

How do I create a FastAPI endpoint with Pydantic validation and SQLAlchemy database integration?▼

Creating a FastAPI endpoint with Pydantic and SQLAlchemy involves defining a Pydantic model for request validation, mapping it to a SQLAlchemy ORM model, and writing an asynchronous route to save data. This Skill generates the complete boilerplate and logic for such endpoints.

What is the best way to write pytest unit tests for asynchronous Python asyncio code?▼

Writing pytest unit tests for asynchronous asyncio code requires using async-aware test fixtures and runners. This Skill helps structure pytest tests for asyncio applications, ensuring proper validation of concurrent FastAPI endpoints and database interactions.

Does this Python development assistant support modern Python 3.13 features like pattern matching and type parameter syntax?▼

Yes, this AI assistant fully supports modern Python 3.13 features, including structural pattern matching and type parameter syntax. It generates and refactors code that leverages the latest language capabilities for robust, type-safe applications.

Can I use Poetry and uv for package management when developing Django and FastAPI applications?▼

Yes, you can use Poetry and uv for package management when developing Django and FastAPI applications. This Skill integrates with these modern package managers to streamline environment setup, dependency resolution, and project workflows.

Why should I use Pydantic for data validation in my FastAPI web application?▼

You should use Pydantic for data validation in your FastAPI web application because it enforces type hints at runtime, automatically generates JSON schemas, and ensures data integrity before processing. This Skill helps implement robust Pydantic models for your API endpoints.

How do I refactor existing Python code to use asynchronous programming with asyncio?▼

To refactor existing Python code to use asynchronous programming with asyncio, you convert blocking I/O operations to non-blocking await calls and update function definitions to async. This Skill provides expert AI assistance to safely migrate and optimize synchronous code to asyncio.