How does the 'Restructure' feature work?

Restructuring allows you to define a search pattern and a goal replacement using wildcards, enabling complex API migrations or code style modernizations across the whole project.

What is the Rope library used for in this skill?

Rope is an advanced Python refactoring library that allows for safe, programmatic changes like renaming, moving, and extracting code while maintaining project-wide integrity.

Is it possible to undo refactoring changes?

Yes, Rope tracks changes in its history, allowing you to preview modifications before applying them and undo them using project.history.undo() if necessary.

Can this skill handle refactorings across multiple files?

Yes, by utilizing the Rope Project object, this skill can identify and update references to variables, functions, and classes across an entire directory or package.

Python Rope Refactoring

Name: Python Rope Refactoring
Author: werdnum

bywerdnum

0•

Herramientas para Desarrolladores

Automates complex Python code refactorings using the powerful Rope library for safe renaming, extraction, and restructuring.

This skill provides Claude with the specialized knowledge required to perform advanced, programmatic Python refactorings using the Rope library. It enables safe and automated code transformations such as renaming variables across projects, extracting methods or variables, moving code between modules, and performing pattern-based restructures. By integrating Static Object Analysis (SOA) and project-wide awareness, it ensures that refactorings are performed accurately while maintaining code integrity and updating all relevant references automatically, making it an essential tool for large-scale codebase maintenance.

Características Principales

01Advanced pattern-based code restructuring and transformations

02Static Object Analysis for accurate type inference and refactoring

03Cross-module code movement and signature modification

04Safe rename operations across entire Python projects

05Automated method and variable extraction with similar block detection

060 GitHub stars

Casos de Uso

01Renaming core classes or functions and updating all occurrences across a large codebase

02Modernizing legacy Python code patterns using programmatic, pattern-based restructuring

03Cleaning up complex logic by extracting code into reusable methods and variables

Características Principales

01Advanced pattern-based code restructuring and transformations

02Static Object Analysis for accurate type inference and refactoring

03Cross-module code movement and signature modification

04Safe rename operations across entire Python projects

05Automated method and variable extraction with similar block detection

060 GitHub stars

Casos de Uso

01Renaming core classes or functions and updating all occurrences across a large codebase

02Modernizing legacy Python code patterns using programmatic, pattern-based restructuring

03Cleaning up complex logic by extracting code into reusable methods and variables