python

Name: python
Availability: InStock
Author: noku

Guide AI coding agents to apply Python-specific patterns and anti-patterns.

Updated Apr 27, 2026

Search Tags:#python #exceptions #async #imports #data-modeling #typing #sublime

Ready to run

npx skills add https://github.com/nokusukun/sublime --skill python-nokusukun

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: python
Source: https://github.com/nokusukun/sublime/tree/main/languages/python
Command: npx skills add https://github.com/nokusukun/sublime --skill python-nokusukun

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Python-specific Sublime extension helps AI coding agents apply Python craft, best practices, and anti-pattern awareness to Python projects, reducing slop and miscommunication.

Core Features & Use Cases

Guidance on typing, data modeling, exceptions, async patterns, decorators, and imports to keep Python code robust in AI-generated prompts.
Reference-driven, boundary-aware guidance that can be loaded into context for code generation, review, and refactoring tasks.
Real-world use case: ensure FastAPI endpoints or data-processing scripts follow consistent patterns and avoid common Python pitfalls when collaborating with AI agents.

Quick Start

In a Python project, load Sublime Python guidance at the boundary and apply the listed patterns to a new module.

Frequently Asked Questions about python

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

FAQPage Schema

How do I enforce Python typing and data modeling best practices when using AI coding agents?▼

You can enforce Python typing and data modeling by loading Sublime guidance into context, which supplies reference-driven patterns to keep AI agents consistent and reduce code slop.

What are common Python async and exception handling anti-patterns to avoid in AI-generated code?▼

Common Python async and exception handling anti-patterns involve inconsistent boundary enforcement. Reference-driven guidance helps agents recognize and avoid these pitfalls during code generation and review.

How do I structure Python imports and packaging boundaries for FastAPI endpoints?▼

To structure Python imports and packaging boundaries for FastAPI, apply boundary-aware Sublime patterns at API and data interfaces, ensuring consistent module structure and safer AI collaboration.

Can I use this Python guidance for data-processing scripts or is it only for web APIs?▼

You can use this Python guidance for data-processing scripts as well as web APIs. It applies Sublime patterns to typing, exceptions, and imports, ensuring robust AI-assisted development across Python projects.

Does this Python Skill require any specific dependencies or external packages to function?▼

No, this Python Skill requires no external dependencies. It operates as a reference-driven guide, applying frontmatter-driven metadata and Sublime patterns directly within your AI coding workflow.