Removes AI-generated clutter from JavaScript and TypeScript codebases while preserving behavior.
npx skills add https://github.com/cursor/plugins --skill deslop-cursor
Please help me install this Agent Skill. Skill: deslop Source: https://github.com/cursor/plugins/tree/main/cursor-team-kit/skills/deslop Command: npx skills add https://github.com/cursor/plugins --skill deslop-cursor
Remove AI-generated code slop from a repository to restore clean, consistent coding style.
Run a targeted cleanup on the current branch to remove AI-generated slop and restore consistent code style.
High-intent search queries and answers about installing and using this skill.
To clean up AI-generated code slop in a JavaScript project, run a targeted cleanup pass that removes unnecessary comments, odd defensive checks, and excessive casts. This process preserves behavior while enforcing project style guidelines.
AI-generated code slop consists of unnecessary comments, odd defensive checks, and excessive type casts that clutter a TypeScript codebase. Removing this slop restores a clean, consistent coding style and produces a maintainable baseline for future development.
You can safely refactor AI-generated code by simplifying deeply nested blocks and removing redundant style artifacts. This approach produces a minimal, auditable diff that ensures the original behavior is preserved while restoring consistent project style.
Yes, you can run a code cleanup pass on a feature branch during code review to remove AI-generated slop. This creates a maintainable baseline by enforcing adherence to project style guidelines while producing an auditable diff.
Yes, the cleanup tool explicitly supports both JavaScript and TypeScript projects. It targets inconsistent style, unnecessary comments, and excessive casts specific to these environments to restore a clean codebase.
cogine-aiRemove AI-generated code slop from TypeScript and JavaScript projects.
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DrLuggelsEnforce Python code style and type checks with ruff and mypy.
sorryhyunRemove redundant code comments while preserving valuable explanations during code cleanup.
