Does this skill work with FastAPI?

Yes, it includes specific patterns for FastAPI, including async/await best practices and proper HTTP exception handling.

How does it improve type safety?

It mandates strict type hints for all public functions, the use of Pydantic for data models, and the 'from __future__ import annotations' import for modern typing support.

How does it handle code formatting?

The skill enforces the use of Ruff with specific rules: 96-character line limits, double quotes, and automatically sorted imports.

What version of Python does this skill support?

This skill is specifically optimized for modern development environments using Python 3.12 and newer versions.

Can I use this for both small scripts and large libraries?

Absolutely. It provides guidelines for both 'flat layout' (small projects) and 'src-layout' (complex, distributable packages).

Modern Python Development Guidelines

Name: Modern Python Development Guidelines
Author: NmBoyd

byNmBoyd

0•

开发者工具

Enforces modern Python 3.12+ standards, strict typing, and production-grade project organization.

This skill provides a comprehensive framework for developing maintainable and type-safe Python applications. It establishes strict adherence to Python 3.12+ features, emphasizing async/await patterns, Pydantic v2 for data validation, and Ruff for high-performance linting and formatting. By standardizing project layouts (src-layout), hierarchical exception handling, and Google-style documentation, it ensures that AI-generated and human-written code remains consistent, testable, and scalable across complex modules and services.

主要功能

01Provides templates for hierarchical typed exceptions and context-managed resource handling.

020 GitHub stars

03Enforces strict type safety and the use of 'from __future__ import annotations'.

04Standardizes project structures using professional src-layout and flat-layout patterns.

05Implements Pydantic v2 models for robust data validation and modeling.

06Optimizes development workflows with Ruff linting and pytest testing patterns.

使用场景

01Refactoring legacy Python code to implement strict typing and modern async patterns.

02Establishing consistent testing architectures with pytest and shared fixtures.

03Bootstrapping new Python 3.12+ projects with standardized configuration and packaging.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nmboyd/claude_setup python-dev-guidelines

For use in Claude.ai and ChatGPT

Download Skill