skills.rest
CJ-1981
CJ-1981COMMUNITY
Explore all skills by this author →
GitHub

moai-lang-python

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

Updated Feb 2, 2026
Search Tags:#pytest#pydantic#fastapi#python#data science#async#django
One-click install
npx skills add https://github.com/CJ-1981/excel-processor --skill moai-lang-python-cj-1981
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: moai-lang-python
Source: https://github.com/CJ-1981/excel-processor/tree/main/.claude/skills/moai-lang-python
Command: npx skills add https://github.com/CJ-1981/excel-processor --skill moai-lang-python-cj-1981

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines Python development by providing expert guidance on modern language features, popular frameworks like FastAPI and Django, and best practices for testing and data science.

Core Features & Use Cases

  • Modern Python: Leverage the latest Python 3.13+ features, including JIT compilation and GIL-free mode.
  • Web Development: Build robust APIs with FastAPI or web applications with Django.
  • Data Handling: Utilize Pydantic for data validation and SQLAlchemy for ORM operations.
  • Testing: Implement comprehensive testing strategies with pytest.
  • Use Case: Develop a new FastAPI microservice, ensuring it uses async patterns, Pydantic for request validation, and is fully testable with pytest.

Quick Start

Use the moai-lang-python skill to create a basic FastAPI endpoint that accepts a POST request with a JSON body containing a 'name' field and returns a 201 status code.

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 microservice with async patterns and Pydantic validation?▼

Build a FastAPI microservice by defining async endpoints and using Pydantic for request validation. This approach ensures robust APIs with modern Python 3.13+ best practices, returning a 201 status code on successful POST requests.

What's the best way to validate data and manage ORM operations in Python 3.13+?▼

Utilize Pydantic for data validation and SQLAlchemy for ORM operations in Python 3.13+. This combination streamlines data pipelines and web applications by enforcing type safety and efficient database interactions.

Does this Python development approach support JIT compilation and GIL-free mode?▼

Yes, this Python development approach supports modern Python 3.13+ features, including JIT compilation and GIL-free mode. These capabilities enhance performance for data science and web applications.

How do I implement comprehensive testing strategies for a Django web application?▼

Implement comprehensive testing strategies for Django web applications using pytest. This ensures full testability of your codebase, covering web endpoints and data pipelines with advanced patterns.

Do I need to understand Poetry and uv to use modern Python 3.13+ features?▼

Yes, understanding package management tools like Poetry and uv is required. This knowledge facilitates managing dependencies and leveraging modern Python 3.13+ features effectively.

Related Skills

Explore More Software Engineering Skills→
skeeper75skeeper75

moai-lang-python

Support Python 3.13+ development with FastAPI, Django, pytest, and data science libraries.

Community
Advanced
AJBcodingAJBcoding
4

moai-lang-python

Evaluate Python 3.13 development guidance for FastAPI, Django, and deployment patterns.

Community
Advanced
cathayriskcathayrisk

sql-and-database

Provide SQLAlchemy patterns for safe database operations in Python.

Community
Intermediate
trungdo9trungdo9
3

python-development

Provides predefined frameworks and coding practices for Python web, data, and ML applications.

Community
Advanced