Moai Lang Python

What it does

This skill enables AI agents to generate, debug, and optimize Python code specifically for backend tasks. It leverages advanced language models and is designed for use with modern Python features and frameworks like FastAPI, Django, SQLAlchemy, and pytest. The skill supports Python 3.13 and incorporates recent improvements such as a JIT compiler (experimental) and GIL-free mode (also experimental).

When to use it

• Developing new backend APIs using FastAPI or Django.
• Writing and executing tests for Python applications with pytest.
• Validating data using Pydantic models, particularly when integrating with ORM objects or JSON data.
• Implementing asynchronous operations and task management in Python code.
• Utilizing the performance benefits of Python 3.13's experimental JIT compiler (when enabled).

Key capabilities

• Python 3.13 Features: JIT Compiler, GIL-Free Mode, Pattern Matching.
• Web Frameworks: FastAPI 0.115+, Django 5.2 LTS.
• Data Validation: Pydantic v2.9 with model_validate patterns.
• ORM: SQLAlchemy 2.0 async patterns.
• Testing: pytest with fixtures, async testing, and parametrization.
• Package Management: Poetry, uv, pip (with pyproject.toml).
• Async Programming: asyncio, async generators, task groups.
• Data Science Basics: numpy, pandas, polars.

Example prompts

• "Generate a FastAPI endpoint for creating users with name and email fields."
• "Write a pytest test to verify the successful creation of a user via the API."
• "Create a Pydantic model for validating user data from an ORM object."
• “Show me how to use pattern matching in Python 3.13 to process different response types.”

Tips & gotchas

• Requires Python 3.13 or later.
• The JIT compiler and GIL-free mode are experimental features; enable them with caution (PYTHON_JIT=1, python3.13t build).
• Familiarity with FastAPI, Django, Pydantic, SQLAlchemy, and pytest will enhance the skill's effectiveness.