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prog-expert-python

Implement advanced Python 3.12+ patterns and uv workspace monorepo workflows.

Updated Mar 28, 2026
Search Tags:#testing#python#protocol#advanced-patterns#uv-workspace#async-generator
One-click install
npx skills add https://github.com/skaile-ai/ai-assets --skill prog-expert-python
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: prog-expert-python
Source: https://github.com/skaile-ai/ai-assets/tree/main/dev-implementation-experts-python/skills/prog-expert-python
Command: npx skills add https://github.com/skaile-ai/ai-assets --skill prog-expert-python

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires rich, pyyaml, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Programming with expert-level Python patterns and uv workspace monorepo management can be complex and error-prone without structured guidance and reusable patterns.

Core Features & Use Cases

  • Async patterns and typing (Protocol, AsyncGenerator) to design scalable, type-safe APIs.
  • uv workspace monorepo guidance and per-package workflow optimization for multi-package projects.
  • Testing, configuration, and CLI tooling templates (pytest, mypy, pydantic-settings, Rich CLI) with ready-to-adapt recipes.

Quick Start

Install and explore the prog-expert-python skill to start leveraging advanced patterns in your Python projects.

Frequently Asked Questions about prog-expert-python

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

FAQPage Schema
How do I set up a uv workspace monorepo for scalable multi-package Python projects?▼

Setting up a uv workspace monorepo involves configuring per-package workflows within a single repository. This Skill provides guidance on structuring scalable multi-package projects and optimizing individual package workflows for end-to-end development.

What is the best way to implement Protocol-based interfaces in Python 3.12+?▼

Implementing Protocol-based interfaces in Python 3.12+ allows you to design scalable, type-safe APIs. This Skill provides structured patterns and ready-to-adapt recipes for adopting advanced typing and Protocol-based interface design.

How do I use AsyncGenerator patterns with pydantic-settings for configuration?▼

Using AsyncGenerator patterns with pydantic-settings allows you to manage asynchronous data streams alongside robust configuration. This Skill offers templates to integrate async patterns with pydantic-settings configuration for type-safe applications.

Does this support building Rich CLI tooling with pytest and mypy testing templates?▼

Yes, it supports building Rich CLI tooling by providing ready-to-adapt recipes. It includes testing and configuration templates for pytest, mypy, and pydantic-settings to ensure end-to-end development and type checking.

Can I use this for end-to-end testing in an advanced Python pattern workflow?▼

Yes, you can use this for end-to-end testing in an advanced Python pattern workflow. It provides testing templates using pytest and mypy to validate Protocol-based interfaces, AsyncGenerator patterns, and CLI tooling.

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