Modularize Python source files into smaller modules under a 130-line guideline.
npx skills add https://github.com/Develata/Deve-Skills --skill python-shorter
Please help me install this Agent Skill. Skill: python-shorter Source: https://github.com/Develata/Deve-Skills/tree/main/My-Skills/code-shorters/python-shorter Command: npx skills add https://github.com/Develata/Deve-Skills --skill python-shorter
Python Shorter automates modularization of long Python files into smaller, maintainable modules without altering program behavior.
Refactor the provided Python file into class-, function-, or data-flow-based modules using the python_modularizer.py tool.
High-intent search queries and answers about installing and using this skill.
You can modularize long Python files into smaller modules without altering program behavior using an automated refactoring tool. It preserves the original logic while splitting the codebase and outputs the results to a separate refactored directory.
You need to refactor a Python codebase into class-based or functional modules when files exceed maintainable lengths and readability declines. Applying a 130-line guideline helps split large files into clean, modular blocks for easier maintenance.
Yes, you can set an optional max-lines limit when modularizing Python source files. The refactoring process defaults to a 130-line guideline but allows you to adjust this threshold to control the size of the output modules.
Data-flow module structure is a Python refactoring strategy that organizes split code based on how data moves through the program. It is one of three supported approaches, alongside class-based and functional grouping, to improve codebase readability.
Python refactoring into smaller modules preserves the original program behavior during the code-splitting process. The modularization ensures that the functional logic remains intact while producing clean, modularized outputs in a new directory.
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