Automate dead code, duplication, and AI padding removal in Python and JavaScript files.
npx skills add https://github.com/mikkeymoo/claude-solo --skill mm-cleanup
Please help me install this Agent Skill. Skill: mm-cleanup Source: https://github.com/mikkeymoo/claude-solo/tree/main/mm-skills/mm-cleanup Command: npx skills add https://github.com/mikkeymoo/claude-solo --skill mm-cleanup
This Skill helps developers automate the cleanup of dead code, duplication, and AI padding in their codebases, improving code quality and efficiency.
mm-cleanup Skill to run an audit on your codebase to find and catalog issues without making any changes. For a more aggressive cleanup, run the Skill with the --aggressive flag.Run /mm-cleanup --audit to generate a cleanup checklist without making any changes to your codebase.
High-intent search queries and answers about installing and using this skill.
You can automatically remove dead code and AI padding by running an automated static analysis script that detects and eliminates unused logic. This process requires no manual intervention and streamlines your codebase to improve overall code quality.
The best way to audit Python and JavaScript files for code duplication is to run an audit command that generates a cleanup checklist. This uses static analysis and heuristics to catalog issues without making any changes to your codebase.
Yes, automated code cleanup supports both Python and JavaScript files. It uses static analysis and heuristics to detect dead code, duplication, and AI padding across these languages without requiring manual intervention.
To aggressively consolidate duplicated code in your repository, run the cleanup command with an aggressive flag. This automates the identification and removal process, actively modifying the codebase to reduce redundancy and eliminate dead code.
AI padding appears in codebases as unnecessary generated logic from AI tools. You can eliminate this padding by running automated static analysis heuristics that identify and remove the redundant code without manual intervention.
You should not use aggressive code cleanup when you only need to catalog issues without altering your codebase. Instead, run an audit to generate a checklist, preserving your original source while still identifying dead code and duplication.
silaslopes100Extract algorithms, control flows, and data dictionaries from source code.
LuizfbmVerify tests and merge feature branches with git worktree cleanup.
Software-Design-ClubEnforce global coding standards across multi-language repositories during code generation and review.
logseqRefactor Logseq CLI command modules to improve clarity and maintainability.