python-library-dev

Python Library Development Skills

A comprehensive set of Claude Code skills for professional Python library development, based on the guide at mcginniscommawill.com.

Installation

Step 1: Add the Marketplace

First, add this repository as a plugin marketplace in Claude Code:

/plugin marketplace add wdm0006/python-skills

Step 2: Install a Plugin Bundle

Install the complete skill set (recommended):

/plugin install python-library-complete@wdm0006-python-skills

Or install specific bundles based on your needs:

# Core skills for starting projects
/plugin install python-library-foundations@wdm0006-python-skills

# Skills for packaging and releasing
/plugin install python-library-distribution@wdm0006-python-skills

# Quality-focused skills (security, performance, API design)
/plugin install python-library-quality@wdm0006-python-skills

Alternative: Local Installation

For project-specific installation, clone this repository and copy the skills you need:

# Clone the repository
git clone https://github.com/wdm0006/python-skills.git

# Copy skills to your project's .claude/skills/ directory
mkdir -p .claude/skills
cp -r python-skills/skills/* .claude/skills/

Or for global installation (available in all projects):

# Copy to your personal Claude skills directory
mkdir -p ~/.claude/skills
cp -r python-skills/skills/* ~/.claude/skills/

Verifying Installation

After installation, you can verify the skills are loaded by running:

/plugin list

Note: Skills require Claude Code Pro, Max, Team, or Enterprise. Free tier users do not have access to Skills.

Available Skills

Skill	Description	Based On
setting-up-python-libraries	Project setup with pyproject.toml, uv, ruff, pytest, pre-commit, GitHub Actions	Defining Library Scope, Dependency Management, Licensing, pyproject.toml Explained
improving-python-code-quality	Ruff linting, mypy type checking, Pythonic idioms, refactoring	Linting & Formatting with Ruff, Understanding McCabe Complexity, Adding Type Hints
testing-python-libraries	Pytest test suites, fixtures, parametrization, Hypothesis property-based testing	Testing with Pytest, Testing Coverage, Testing with Tox, Testing with Mocking
auditing-python-security	Security audits with Bandit, pip-audit, Semgrep, detect-secrets	Avoiding Injection Flaws, Intro to Bandit, Dependency Security, Handling Sensitive Data, Secure Coding Practices
designing-python-apis	API design principles, deprecation, breaking changes, error handling	The Art of API Design, Designing for Developer Joy
documenting-python-libraries	Google-style docstrings, Sphinx setup, ReadTheDocs configuration	Writing Effective Docstrings, Getting Started with Sphinx, Automating Docs Deployment, Documenting Your Library's API
packaging-python-libraries	pyproject.toml, PyPI publishing, trusted publishing, wheel building	pyproject.toml Explained, Publishing PyGeohash