Renames symbols and updates references across Python codebases using tug tool.
npx skills add https://github.com/tugtool/tugtool --skill tug-refactor
Please help me install this Agent Skill. Skill: tug-refactor Source: https://github.com/tugtool/tugtool/tree/main/.claude/skills/tug-refactor Command: npx skills add https://github.com/tugtool/tugtool --skill tug-refactor
This Skill enables semantic refactoring of Python codebases by safely renaming symbols across multiple files while updating all references with correct scoping.
Use tug to analyze and then apply a rename across a Python project, for example renaming the function process_data to transform_data.
High-intent search queries and answers about installing and using this skill.
To rename a Python function across multiple files, you need a semantic refactoring tool that identifies all references and updates them with correct scoping, preserving imports and inheritance. This ensures changes remain deterministic and verified before applying modifications.
Semantic refactoring for Python is the process of renaming symbols like functions, classes, methods, or variables while maintaining scope and import integrity. It provides context-aware updates to ensure the codebase remains functionally correct after modifications are applied.
Yes, you can safely rename Python class methods across a large project by performing context-aware updates that preserve imports, inheritance, and scope. The tool delivers minimal-diff changes and verifies reference integrity before applying the modifications.
The best way to preview variable renaming changes is to use a deterministic workflow that provides pre-apply analysis and safe diffs. This allows you to review verified, minimal-diff changes to your Python project before committing any modifications.
Yes, you need the Tug tool and a Python project context to perform multi-file symbol renaming. It uses the tool to analyze and apply deterministic, verified changes across your codebase, ensuring reference integrity and correct scoping throughout the process.
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