Does this skill risk breaking my application logic?

The skill includes a 'no_regression' check that verifies no essential functionality was lost. It is designed to prioritize deletion only where code is truly redundant or unused.

Is the code deletion process fully autonomous?

No, this skill is manually invocable and interactive, ensuring that the developer remains in control of what is deleted while the AI identifies candidates for removal.

When is the best time to run this skill?

It is best used when cleaning up after removing a feature, auditing for dead imports, or when a codebase feels over-engineered and difficult to navigate.

How does the Reducing Entropy skill measure success?

Success is measured by the net reduction of total lines of code. The goal is a smaller, more manageable codebase where every remaining line is strictly necessary.

What commands trigger the Reducing Entropy skill?

You can activate the skill using triggers such as 'reduce code', 'cleanup', 'delete unused', 'remove dead code', or 'shrink codebase'.

Codebase Entropy Reducer

Name: Codebase Entropy Reducer
Author: hjemmesidekongen

byhjemmesidekongen

0•

開発者ツール

Simplifies and shrinks codebases by identifying and removing dead code, unused files, and unnecessary abstractions.

The Reducing Entropy skill helps developers maintain a lean and efficient codebase by applying a deletion-first mindset to software development. It proactively identifies dead code, unreachable paths, and over-engineered components that increase cognitive load and maintenance costs without adding value. By prioritizing the removal of code over refactoring, the skill ensures that the final state of the project is as small and manageable as possible, validating that every change results in a net reduction of lines while preserving all essential functionality.

主な機能

01Manual activation for intentional, high-impact cleanup sessions

02Automated identification of dead code and unreachable logic paths

03Simplification of over-engineered abstractions and unnecessary wrappers

04Regression checks to verify essential functionality remains intact

05Net line reduction validation to ensure codebase shrinkage

060 GitHub stars

ユースケース

01Auditing legacy projects to remove dead imports and unused utility files

02Simplifying repositories that have become difficult to maintain due to excessive abstractions

03Cleaning up orphaned components and logic after a major feature removal

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add hjemmesidekongen/ai reducing-entropy

For use in Claude.ai and ChatGPT

主な機能

01Manual activation for intentional, high-impact cleanup sessions

02Automated identification of dead code and unreachable logic paths

03Simplification of over-engineered abstractions and unnecessary wrappers

04Regression checks to verify essential functionality remains intact

05Net line reduction validation to ensure codebase shrinkage

060 GitHub stars

ユースケース

01Auditing legacy projects to remove dead imports and unused utility files

02Simplifying repositories that have become difficult to maintain due to excessive abstractions

03Cleaning up orphaned components and logic after a major feature removal

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add hjemmesidekongen/ai reducing-entropy

For use in Claude.ai and ChatGPT