Remove AI-generated commentary and dead code from git diffs.
npx skills add https://github.com/chrisliu298/dotfiles --skill deslop-chrisliu298
Please help me install this Agent Skill. Skill: deslop Source: https://github.com/chrisliu298/dotfiles/tree/main/agents/extensions/skills/deslop Command: npx skills add https://github.com/chrisliu298/dotfiles --skill deslop-chrisliu298
Remove AI-generated slop from code changes by analyzing the diff against main and surgically removing non-essential commentary, dead code, and style inconsistencies while preserving all features and logic.
Run the deslop skill after finishing an AI-assisted coding session to tidy the diff.
High-intent search queries and answers about installing and using this skill.
You can use this Skill directly after an AI-assisted coding session by running it against your current changes. It uses git diff --cached, git diff, or git diff main..HEAD to identify and tidy AI-generated slop in your code.
AI-generated slop in a git diff refers to non-essential commentary, dead code, and style inconsistencies introduced by AI coding tools. It is identified by analyzing changes against the main branch and surgically removed without altering functionality.
Yes, this diff cleanup approach applies to Claude Code and Codex workflows. It analyzes git changes to keep diffs concise across multi-language projects by stripping non-essential AI commentary and style inconsistencies.
You should clean up AI slop during code review and PR prep to produce cleaner, review-friendly changes. Running a cleanup pass after finishing an AI-assisted coding session ensures the final diff is concise.
Yes, you can tidy multi-language project diffs using a tool that analyzes git diff main..HEAD. It identifies AI-generated style inconsistencies and dead code across different languages while preserving features.
billwanggithubGenerate descriptive git commit messages from staged changes.
GitnappVerify code changes before committing with security, regression, and quality checks.
thangvawnAutomate code quality enforcement with formatters, linters, and Claude subprocesses.
mhawthorneReview committed changes on a feature branch against main.
