How does it track progress?

Every improvement is documented in a progress.txt file, detailing the specific smell identified, the fix applied, and the resulting impact on the codebase.

What kind of code smells does this skill fix?

It prioritizes high-impact issues such as duplicate code, unused exports, dead code, and overly complex functions that hinder maintainability.

What is a code entropy loop?

A code entropy loop is a systematic process of identifying and fixing small issues iteratively to prevent software rot and maintain a high standard of code quality over time.

Will it change my code's styling or formatting?

The skill focuses on structural improvements; it intentionally skips low-impact cosmetic changes like minor formatting or variable renaming unless they are confusing or specifically requested.

Does it automatically commit changes?

Yes, after each individual fix is verified by running your project's tests, the skill automatically commits the change to your Git history.

Code Entropy Reducer

Name: Code Entropy Reducer
Author: jagreehal

byjagreehal

Productivity & Workflow

Automates the iterative removal of code smells and technical debt to improve codebase maintainability and quality.

About

The Code Entropy Reducer is a specialized skill designed to systematically clean up repositories by identifying and resolving high-impact technical debt through a disciplined, iterative loop. It scans for issues such as duplicate code, unused exports, and excessive complexity, fixing one item at a time with minimal changes, verifying results with tests, and committing progress automatically. This skill is ideal for maintaining high code quality standards without manual refactoring sessions, ensuring that every cleanup iteration results in a more maintainable and efficient codebase while avoiding unnecessary cosmetic changes.

Key Features

Priority-based cleanup targeting unused code and complexity
Smart stop conditions to prevent non-meaningful changes
0 GitHub stars
Automated test verification and Git commits
Progress logging via progress.txt for auditability
Iterative code smell scanning and resolution

Use Cases

Reducing technical debt in legacy or rapidly growing codebases
Standardizing patterns and removing dead code after major refactors
Continuous maintenance to prevent long-term software rot

About

Key Features

Priority-based cleanup targeting unused code and complexity
Smart stop conditions to prevent non-meaningful changes
0 GitHub stars
Automated test verification and Git commits
Progress logging via progress.txt for auditability
Iterative code smell scanning and resolution

Use Cases

Reducing technical debt in legacy or rapidly growing codebases
Standardizing patterns and removing dead code after major refactors
Continuous maintenance to prevent long-term software rot