moai-lang-python

Guide Python 3.13+ development across FastAPI, Django, async patterns, and pytest workflows.

Updated Jan 12, 2026
One-click install
npx skills add https://github.com/windysky/claude_notification_wsl2 --skill moai-lang-python-windysky
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: moai-lang-python
Source: https://github.com/windysky/claude_notification_wsl2/tree/main/.claude/skills/moai-lang-python
Command: npx skills add https://github.com/windysky/claude_notification_wsl2 --skill moai-lang-python-windysky

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Developers often struggle to keep pace with modern Python tooling and patterns across APIs, web apps, data pipelines, and testing. This skill consolidates best practices, templates, and practical examples for Python 3.13+ development.

Core Features & Use Cases

  • FastAPI endpoint patterns, including request validation, dependency injection, and async data access.
  • Django integration patterns with models, views, and simple REST endpoints.
  • Async patterns and data science workflows using SQLAlchemy 2.0 async, Pydantic v2, and pytest-based testing.
  • Use Case: Build a small API service with FastAPI and Django components, connect to a SQLite database, and run tests with pytest to validate end-to-end behavior.

Quick Start

Install Python 3.13+, review the moai-lang-python examples, scaffold a minimal API project, and run tests to see patterns in action.

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 async APIs with FastAPI and SQLAlchemy 2.0?

Build async APIs in FastAPI by applying request validation, dependency injection, and SQLAlchemy 2.0 async data access patterns. This skill provides templates and guidelines to structure endpoints and manage asynchronous database workflows effectively.

What is the best way to validate data models in Python 3.13+?

Validate data models in Python 3.13+ using Pydantic v2. This skill offers best practices and examples for defining schemas, ensuring type safety, and integrating validation seamlessly into your API and data pipeline workflows.

How to test Python API endpoints with pytest?

Test Python API endpoints with pytest by following pytest-driven testing workflows. This skill includes guidelines to validate end-to-end behavior, scaffolding minimal API projects, and running tests to ensure FastAPI and Django components function correctly.

Can I integrate Django components within a FastAPI application?

Yes, you can integrate Django components within a FastAPI application. This skill demonstrates integration patterns using Django models, views, and simple REST endpoints alongside FastAPI to build small API services connected to a SQLite database.

Do I need Python 3.13 to use modern async patterns and Pydantic v2?

You need Python 3.13+ installed to master modern language features and patterns covered by this skill. It specifically targets Python 3.13+ to implement async patterns, Pydantic v2, and SQLAlchemy 2.0 async usage effectively.