python-code-quality
# Python Code Quality Skill
What this skill does
# 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 ```bash # 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 ```bash ruff check --fix . && ruff format . && mypy src ``` ### CI/CD Pipeline ```bash 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
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