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python-setup

Configure Python project quality tooling with pyproject.toml, GitHub Actions, and pre-commit.

2|1|Updated Feb 15, 2026
Search Tags:#python#hooks#tooling#quality#lint#ci
One-click install
npx skills add https://github.com/ondrasek/cc-plugins --skill python-setup-ondrasek
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: python-setup
Source: https://github.com/ondrasek/cc-plugins/tree/main/plugins/blueprint/skills/python-setup
Command: npx skills add https://github.com/ondrasek/cc-plugins --skill python-setup-ondrasek

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Python projects often suffer from inconsistent quality tooling setup across repos; this Skill standardizes and automates the configuration of hooks, CI pipelines, and tool settings to enforce 9-dimension quality practices.

Core Features & Use Cases

  • Automates analysis of a Python project and generates a complete quality tooling configuration (lint, tests, hooks, CI, and tooling settings)
  • Produces consistent pyproject.toml sections, GitHub Actions workflows, and pre-commit configs aligned with the nine dimensions
  • Useful for teams migrating legacy projects, bootstrapping new repositories, or enforcing governance across multiple Python projects

Quick Start

Run the setup to initialize Python quality tooling across your project.

Frequently Asked Questions about python-setup

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

FAQPage Schema
How do I set up Python quality tooling for a new project?▼

To set up Python quality tooling, this Skill analyzes your codebase and generates pre-commit hooks, GitHub Actions CI pipelines, and pyproject.toml configurations aligned with a 9-dimension quality methodology.

What is the best way to configure pre-commit hooks and linting in pyproject.toml?▼

Configuring pre-commit hooks and linting in pyproject.toml is automated by analyzing your target Python codebase and generating standardized tool configurations that enforce consistent quality guardrails across the project.

Does this Python quality setup work with GitHub Actions CI?▼

Yes, Python quality setup integrates directly with GitHub Actions CI by generating workflow files that run lint, type checking, and tests alongside your pre-commit hooks and pyproject.toml settings.

Can I use this to standardize Python lint and type checker configurations across multiple repos?▼

Yes, you can standardize Python lint and type checker configurations across multiple repos by generating consistent pyproject.toml sections and pre-commit configs that enforce the same 9-dimension quality standards.

Why do I need a 9-dimension methodology for Python project quality?▼

A 9-dimension methodology for Python project quality ensures comprehensive coverage of standards, automating hooks, CI pipelines, and tool configurations so teams enforce consistent guardrails during setup rather than ad-hoc.

What are the limitations of automating Python CI pipeline and hook generation?▼

Automating Python CI pipeline and hook generation requires an existing target codebase to analyze; it generates configurations based on the 9-dimension methodology but may need manual adjustments for highly custom workflows.

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