Remove AI-generated comments, defensive checks, and type casts from git diffs.
npx skills add https://github.com/sontek/agent-skills --skill deslop-sontek
Please help me install this Agent Skill. Skill: deslop Source: https://github.com/sontek/agent-skills/tree/main/plugins/agent-skills/skills/deslop Command: npx skills add https://github.com/sontek/agent-skills --skill deslop-sontek
This Skill helps developers remove AI-generated code slop from a branch by cleaning up excessive comments, defensive checks, and unnecessary type casts, ensuring diffs align with the project's style.
To use deslop, run a git diff against the main branch to identify differences, then apply the cleanup guidance described in this Skill to the affected files. Ensure changes remain focused and do not remove real fixes.
High-intent search queries and answers about installing and using this skill.
To remove AI-generated code slop from a git diff, run a diff against the main branch and apply cleanup guidance to prune excessive comments, defensive checks, and unnecessary type casts while preserving functionality.
AI-generated code slop refers to excessive comments, redundant defensive checks, and unnecessary type casts that do not align with project style. It requires cleanup to ensure diffs remain minimal and focused.
Clean up excessive comments and defensive checks by applying stylistic guidelines during code review. This prunes AI-generated patterns while ensuring the functionality and real fixes remain intact.
Yes, you can enforce coding style across different programming languages. The cleanup process validates patterns and applies stylistic guidelines to ensure branches align with the project's established conventions.
The best way to prepare AI-generated code for review is to run a git diff against the main branch, then apply cleanup guidance to remove unnecessary type casts and excessive comments, producing a focused, review-ready diff.
You should avoid removing defensive checks during code cleanup if they represent real fixes. The cleanup process enforces minimal changes but explicitly ensures that actual functionality and legitimate corrections are preserved.
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