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Python linter

Skill nainishshafi/developer-productivity-skills/.github/skills/python-linter

Reusable AI skills for Claude Code and GitHub Copilot — scan READMEs, sync forks, create skills, lint Python, and scan for security vulnerabilities

Install
npx -y skills add nainishshafi/developer-productivity-skills --skill python-linter

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Use when the user asks to "lint python", "run the linter", "fix linting errors", "check python code style", "run ruff", "format python code", "fix imports", "check types", "run mypy", or wants to find and fix Python code quality issues using ruff and mypy.

SKILL.md

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Python Linter

Run ruff (lint + format) and optionally mypy (type checking) on Python code. Auto-fixes what it can and reports what needs manual attention.

Prerequisites

  • Python project with .py files

Workflow

Step 1 — Set Up .venv

Always use .venv — create it if it doesn't exist:

[ -d .venv ] || python -m venv .venv
PYTHON=$(if [ -f .venv/Scripts/python ]; then echo .venv/Scripts/python; else echo .venv/bin/python; fi)

Install ruff into the venv if not already present:

$PYTHON -m ruff --version 2>/dev/null || $PYTHON -m pip install ruff

Optionally install mypy for type checking:

$PYTHON -m mypy --version 2>/dev/null || $PYTHON -m pip install mypy

Check for an existing pyproject.toml or ruff.toml config. If neither exists, offer to create a sensible default (see references/python-linter-reference.md for the recommended config).

Step 2 — Run Ruff Lint (with auto-fix)

$PYTHON -m ruff check --fix .
  • --fix auto-corrects safe issues (unused imports, style violations, etc.)
  • Note any remaining violations that require manual fixes
  • If the user wants to see all issues first without fixing:
    $PYTHON -m ruff check .
    

Step 3 — Run Ruff Format

$PYTHON -m ruff format .
  • Formats all .py files in place (replaces black + isort)
  • To preview changes without applying:
    $PYTHON -m ruff format --diff .
    

Step 4 — Run Type Checking (optional)

Ask the user if they want type checking. If yes:

$PYTHON -m mypy .

Or for stricter checking:

$PYTHON -m mypy --strict .

See references/python-linter-reference.md for mypy configuration options.

Step 5 — Report Results

Summarise:

  • How many lint issues were auto-fixed
  • Any remaining issues that need manual attention (with file + line references)
  • Formatting changes applied
  • Type errors found (if mypy was run)

If issues remain, explain each one clearly and offer to fix them.

Additional Resources

  • references/python-linter-reference.md — Recommended ruff/mypy configs, rule sets, pyproject.toml templates, CI integration

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