python-project

Initialize Python 3.11+ projects with uv, pyproject.toml, and ruff.

Updated Jan 11, 2026
One-click install
npx skills add https://github.com/vivainio/agent-skills --skill python-project-vivainio
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: python-project
Source: https://github.com/vivainio/agent-skills/tree/main/skills/python-project
Command: npx skills add https://github.com/vivainio/agent-skills --skill python-project-vivainio

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the creation of new Python projects by establishing a robust and modern development environment from the outset.

Core Features & Use Cases

  • Project Initialization: Sets up a new project directory with essential configuration files.
  • Dependency Management: Integrates uv for efficient package installation and management.
  • Code Quality Tools: Configures ruff for consistent formatting and linting.
  • Type Hinting Enforcement: Mandates type annotations for improved code reliability.
  • Use Case: When starting a new Python package or CLI tool, use this Skill to quickly scaffold a project that follows best practices for dependency management, code quality, and maintainability.

Quick Start

Use the python-project skill to create a new Python project named 'my_awesome_project'.

Frequently Asked Questions about python-project

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

FAQPage Schema
How do I set up a modern Python project with uv and ruff?

To set up a modern Python project, this skill initializes a new directory with pyproject.toml, configures uv for package management, and integrates ruff for linting and formatting. It scaffolds projects adhering to Python 3.11+ standards.

What's the best way to scaffold a Python CLI application with type annotations?

Scaffolding a Python CLI application is done by initializing a structured project that enforces type annotations and structured data patterns using TypedDict and dataclasses. This ensures code reliability and maintainability from the start.

Does this Python project setup support packages and libraries alongside CLI tools?

Yes, this Python project setup supports creating Python packages, libraries, and CLI applications. It establishes a robust development environment with consistent formatting across all supported project types.

Why use pyproject.toml for Python development environment configuration?

Using pyproject.toml centralizes project configuration for modern Python development environments. This skill leverages it alongside uv for dependency management and ruff for code quality, streamlining initialization.

Do I need Python 3.11 to use this project initialization tool?

Yes, Python 3.11+ is required because the project initialization enforces standards specific to that version and above. This ensures compatibility with modern type hinting and data patterns like TypedDict.