Does this skill change the logic of my code?

No, the skill is strictly designed to preserve the functionality of your solution while only removing 'slop' such as debug artifacts, unused imports, and redundant abstractions.

What happens if the cleanup process breaks my build?

The skill includes a mandatory verification step that runs syntax checks and project tests. If a failure is detected, it identifies the problematic edit and allows for correction or reversion.

Can I use this across multiple repositories?

Yes, Doover Rebase can detect and analyze uncommitted changes across multiple git repositories within your workspace simultaneously.

How does it know what is essential and what is 'slop'?

It reviews your entire conversation history with Claude to identify the specific problem you were solving and the final approach that worked, vs. failed attempts that should be reverted.

Doover Rebase

Name: Doover Rebase
Author: getdoover

bygetdoover

0•

Herramientas para Desarrolladores

Removes AI-generated code drift and debug artifacts from development sessions to ensure clean, production-ready commits.

Doover Rebase is a specialized skill designed to clean up the 'AI slop'—such as redundant imports, abandoned code paths, and debug logs—that often accumulates during extended AI-assisted debugging or feature development. By analyzing the full conversation context, it distinguishes between essential fixes and temporary artifacts, providing a structured 7-step workflow to refactor code without losing the core solution. It works across single or multiple repositories and includes built-in verification steps to ensure that the cleanup process never breaks your working code.

Características Principales

01Context-aware analysis that uses chat history to identify essential vs. discarded code logic.

02Multi-repository support for cleaning up changes across complex, interconnected project structures.

030 GitHub stars

04Categorized diff analysis to automatically label and handle debug artifacts, style drift, and over-engineering.

05Automated verification suite to run tests and syntax checks after cleanup to preserve solution integrity.

06Interactive approval workflow that presents a detailed cleanup plan for user review before execution.

Casos de Uso

01Removing 'trial-and-error' code remnants and abandoned architectural attempts from a long AI chat.

02Cleaning up temporary 'print' statements and logging artifacts after a complex debugging session.

03Standardizing code style and import conventions across multiple repositories before opening a pull request.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add getdoover/doover-skills doover-rebase

For use in Claude.ai and ChatGPT

Download Skill