gh-jwplatta-prompt-library-claude-plugins-pythonic/skills/python-code-quality/SKILL.md

Python Code Quality Skill

Ensure Python code follows best practices with automated linting, formatting, and type checking using ruff and mypy.

When to Use This Skill

Use this skill when:

• User requests code linting or formatting
• User mentions code quality, PEP 8, or style issues
• User wants to fix linting errors
• User asks about type checking
• Code review processes require quality checks

Core Capabilities

1. Linting with Ruff

   • Check code for style violations
   • Identify potential bugs and code smells
   • Enforce PEP 8 compliance
   • Auto-fix issues where possible

2. Code Formatting

   • Format code consistently with ruff
   • Organize imports automatically
   • Ensure consistent indentation and line length

3. Type Checking with Mypy

   • Verify type annotations are correct
   • Catch type-related bugs before runtime
   • Ensure type safety across the codebase

4. Code Quality Metrics

   • Complexity analysis
   • Dead code detection
   • Unused import identification

Context Files

This skill references the following context files in this directory:

• ruff-configuration.md - Ruff linting and formatting rules
• mypy-configuration.md - Type checking configuration
• common-issues.md - Common Python code quality issues and fixes
• best-practices.md - Python coding best practices

Key Tools and Commands

# Linting
ruff check .                    # Check for issues
ruff check --fix .              # Auto-fix issues
ruff check --watch .            # Watch mode

# Formatting
ruff format .                   # Format all files
ruff format --check .           # Check if formatting needed

# Type checking
mypy src                        # Check types
mypy --strict src               # Strict mode

Common Workflows

Pre-commit Quality Check

ruff check --fix . && ruff format . && mypy src

CI/CD Pipeline

ruff check .                    # Fail if unfixed issues
ruff format --check .           # Fail if unformatted
mypy src                        # Fail on type errors

Expected Outcomes

After using this skill:

• All code follows PEP 8 style guidelines
• Imports are properly organized
• Type hints are correct and comprehensive
• Code is consistently formatted
• Common bugs and issues are identified

Integration with Other Skills

• Works with python-project-setup for initial configuration
• Complements python-testing for comprehensive quality assurance
• Used by python-project-setup agent for automated checks