moai-lang-python

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

Updated Jan 16, 2026
One-click install
npx skills add https://github.com/yarang/fastapi-error-code --skill moai-lang-python-yarang
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: moai-lang-python
Source: https://github.com/yarang/fastapi-error-code/tree/main/.claude/skills/moai-lang-python
Command: npx skills add https://github.com/yarang/fastapi-error-code --skill moai-lang-python-yarang

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Streamlines expert guidance for modern Python development across FastAPI, Django, async patterns, data science, and pytest testing, helping teams choose effective patterns and avoid common pitfalls.

Core Features & Use Cases

  • Modern Python guidance: patterns for API development, asynchronous workflows, and testing setups.
  • Framework interoperability: guidance for FastAPI, Django, and async ORM usage.
  • Hands-on examples: ready-made templates and patterns for API endpoints, data validation, and testing with pytest.

Quick Start

Use the moai-lang-python skill to outline a FastAPI project skeleton, including directory structure, models, and 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 structure a FastAPI project with pytest testing setups?

To structure a FastAPI project with pytest, use automated guidance to generate directory structures, models, and tests. This provides concrete patterns and templates for API endpoints, data validation, and testing configurations.

What are the best practices for async patterns in Python 3.13+?

Best practices for async patterns in Python 3.13+ involve using concrete templates for asynchronous workflows and async ORM usage. This ensures effective data pipeline operations and avoids common interoperability pitfalls.

Does this Python development guidance support Django and FastAPI interoperability?

Yes, this Python development guidance supports Django and FastAPI interoperability. It offers framework integration patterns, helping teams choose effective setups for API development and async ORM workflows.

How do I write pytest tests for data validation in Python APIs?

To write pytest tests for data validation in Python APIs, apply ready-made templates and best practices. This streamlines testing setups for FastAPI endpoints and data pipelines to avoid common validation pitfalls.

When do I need modern Python typing patterns for data pipelines?

You need modern Python typing patterns for data pipelines when building automation workflows and API endpoints. Utilizing up-to-date Python 3.13+ features ensures proper data validation and framework integration.