Format Python code with consistent style and linting-safe patterns.
npx skills add https://github.com/theafh/ai-modules --skill format-python-theafh
Please help me install this Agent Skill. Skill: format_python Source: https://github.com/theafh/ai-modules/tree/main/plugins/ai_dev/skills/format_python Command: npx skills add https://github.com/theafh/ai-modules --skill format-python-theafh
format_python removes the friction of inconsistent or error-prone Python code generation by enforcing indentation, import discipline, naming conventions, type hints, logging practices, and linting-preventive rules that reduce common LLM mistakes.
Example use case: you are generating a Python utility script to transform JSON data and you need it to be readable, type-hinted, logging-based, and free of common flake8/ruff/pylint issues before committing it to a repo.
Ask your AI assistant to format your Python code to match the format_python rules for style, linting prevention, structure, and safety.
High-intent search queries and answers about installing and using this skill.
To format Python code for linting, enforce 4-space indentation, one-import-per-line discipline, and modern type hints. This prevents unused imports, undefined references, and problematic comparisons during generation.
Generating linter-safe Python with type hints requires a structured module layout, proper docstring placement, and double-quoted strings. Following these style guide conventions ensures readable and maintainable code.
Structure Python imports using a one-import-per-line discipline and strict import ordering. This import hygiene eliminates unused import failures and ensures modules pass common linting checks reliably.
Production-ready Python requires security-safe patterns, explicitly prohibiting risky constructs like eval or exec on user input. It also needs structured error handling and logging practices to ensure safety.
Yes, you can refactor existing Python scripts to implement logging-based practices and consistent formatting. This workflow applies type hints and module layout improvements to make code testable and maintainable.
Oruga420Provide idiomatic Python patterns for writing, reviewing, and refactoring code.
NVIDIAFormat, lint, and type-check Megatron-LM Python code with black, isort, ruff, pylint, and mypy.
HezziCodeEnforce Python type safety with mypy static type checking.
causify-aiFormat Python code with black and autopep8 for PEP8 compliance.
