Remove AI-generated comments, defensive checks, and casts to any from code branches.
npx skills add https://github.com/revokslab/ShipFree --skill rmslop
Please help me install this Agent Skill. Skill: rmslop Source: https://github.com/revokslab/ShipFree/tree/main/.cursor/skills/rmslop Command: npx skills add https://github.com/revokslab/ShipFree --skill rmslop
This Skill eliminates AI-generated slop in codebases by removing irrelevant comments, unnecessary defensive checks, casts to any, and inconsistent style, helping teams maintain clean, readable code.
To apply rmslop, review the diff between your feature branch and main, then run a cleanup pass to remove AI slop and generate a one-sentence summary of the changes.
High-intent search queries and answers about installing and using this skill.
To remove AI slop from your code branches, review the diff between your feature branch and main, then run a cleanup pass to eliminate unnecessary comments, defensive checks, casts to any, and inconsistent styling, generating a concise summary of changes.
AI slop in a codebase consists of non-essential AI-generated comments, unnecessary defensive checks, casts to any, and inconsistent styling that reduce readability and hinder code review across multiple programming languages.
You clean up AI-generated comments for code review by running a cleanup pass on your feature branch diff against main, which purges irrelevant comments and redundant guards while delivering a one-sentence summary to justify the changes.
Yes, AI slop removal works across multiple languages, applying to code review, refactoring, and branch cleanup workflows to eliminate inconsistent style and unnecessary shortcuts regardless of the programming language used.
Yes, you can use this to refactor redundant defensive checks in your feature branch by streamlining the diff against main to eliminate unnecessary guards, casts to any, and style divergences that hinder team review.
You should avoid using an AI slop remover when your branch contains intentional defensive checks or essential comments that are manually authored, as the cleanup pass targets non-essential AI-generated elements and inconsistent styling for removal.
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