moai-lang-python

Provide Python 3.13+ development patterns for FastAPI and Django web applications.

3|Updated Feb 18, 2026

Search Tags:#fastapi #python #asyncio #django #data-science

Ready to run

npx skills add https://github.com/rodmena-limited/trust5 --skill moai-lang-python-rodmena-limited

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: moai-lang-python
Source: https://github.com/rodmena-limited/trust5/tree/main/trust5/assets/claude/skills/moai-lang-python
Command: npx skills add https://github.com/rodmena-limited/trust5 --skill moai-lang-python-rodmena-limited

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires fastapi, pydantic, sqlalchemy, pytest, poetry, uv, pip, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines Python development by providing a comprehensive set of tools and patterns for building FastAPI, Django, and other modern Python applications.

Core Features & Use Cases

FastAPI and Django Support: Offers patterns and best practices for building web applications with FastAPI and Django.
Modern Python Features: Covers Python 3.13+ features like JIT compiler, GIL-free mode, pattern matching, and async patterns.
Data Science Integration: Includes integration with numpy, pandas, and polars for data science tasks.
Use Case: If you're developing a Python web application with FastAPI, Django, and need to handle async tasks and data science, this Skill is essential.

Quick Start

Use the moai-lang-python skill to create a FastAPI endpoint that handles user authentication.

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 endpoint with async patterns and data validation?▼

To build a FastAPI endpoint, apply async patterns and use pydantic for data validation. This approach streamlines web application development by handling asynchronous tasks efficiently and ensuring strict type checking.

Does this Python development approach support modern features like JIT and GIL-free mode?▼

Yes, this Python development approach supports modern features by leveraging Python 3.13+ capabilities, including the JIT compiler, GIL-free mode, and pattern matching to optimize application performance and concurrency.

What's the best way to integrate data science libraries with a Django web application?▼

The best way to integrate data science libraries with a Django web application is by utilizing built-in patterns for numpy, pandas, and polars, enabling seamless data processing alongside your web framework logic.

Can I use pydantic and sqlalchemy for ORM and testing in my FastAPI project?▼

Yes, you can use pydantic and sqlalchemy for ORM and testing in a FastAPI project. The setup provides specific patterns for data validation, ORM management, and utilizes pytest for robust testing frameworks.

Do I need Poetry or uv to manage dependencies with pyproject.toml?▼

You need Poetry or uv to manage dependencies with pyproject.toml. The environment requires these specific tools alongside pip to properly structure and install fastapi, pydantic, sqlalchemy, and pytest packages.

When should I not use async patterns for my Python web application?▼

You should avoid async patterns for your Python web application when tasks are strictly CPU-bound, as async benefits I/O-bound operations. For heavy computation, rely on modern Python 3.13+ JIT features instead of async concurrency.