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python-development

Automate Python 3.12+ project setup with pyproject.toml and FastAPI scaffolding.

60|13|Updated Dec 22, 2025
Search Tags:#development#fastapi#python#async#mypy#django#typing
One-click install
npx skills add https://github.com/plurigrid/asi --skill python-development-plurigrid
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: python-development
Source: https://github.com/plurigrid/asi/tree/main/skills/python-development
Command: npx skills add https://github.com/plurigrid/asi --skill python-development-plurigrid

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Modern Python development guidance for Python 3.12+, including Django, FastAPI, async patterns, and production best practices.

Core Features & Use Cases

  • Project scaffolding: Modern project structure with pyproject.toml and typing hints.
  • API patterns: Examples with FastAPI, Pydantic, and async workflows.
  • Testing & quality: Linting, type checking, and testing best practices.

Quick Start

Start a new Python project using the modern structure and scaffold an API with FastAPI and Pydantic.

Frequently Asked Questions about python-development

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I set up a modern Python project with type hints and async support?▼

Modern Python project setup uses pyproject.toml configuration with type hints via Pydantic or dataclasses, async I/O patterns, and Python 3.12+. This Skill automates scaffolding production-grade structures with linting via Ruff, strict MyPy typing, and testing best practices for maintainable codebases.

Can I use FastAPI with async patterns and type checking in production?▼

FastAPI integrates with async workflows and Pydantic for type safety in production APIs. This Skill provides API patterns, asynchronous I/O examples, and production-grade configurations including unit and integration tests, strict MyPy validation, and deployment pipelines.

What's the best way to structure a Django or FastAPI project for Python 3.12?▼

Best practices for Django and FastAPI projects include modern pyproject.toml configuration, type hints with Pydantic or dataclasses, async patterns where applicable, linting with Ruff, strict MyPy typing, and comprehensive testing. This Skill automates scaffolding and applies these patterns across API services and data pipelines.

How do I configure linting and type checking for a Python data processing pipeline?▼

Configure linting with Ruff, enforce strict MyPy type checking, and apply async patterns for I/O-bound tasks. This Skill automates setup of pyproject.toml, type hints, unit and integration tests, and deployment pipelines for data processing and automation scripts.

Do I need async patterns for all Python applications, or only APIs?▼

Async patterns optimize I/O-bound tasks in APIs, data pipelines, and automation scripts. This Skill applies asynchronous I/O patterns selectively, providing guidance on when to use async with FastAPI, Django, and other frameworks for Python 3.12+ projects.

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