clean

Orchestrate parallel cleanup agents to remove unnecessary project files with safety checks.

1|Updated Mar 4, 2026
One-click install
npx skills add https://github.com/yandy-r/claude-plugins --skill clean-yandy-r
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: clean
Source: https://github.com/yandy-r/claude-plugins/tree/main/.cursor-plugin/skills/clean
Command: npx skills add https://github.com/yandy-r/claude-plugins --skill clean-yandy-r

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Orchestrates safe, parallel cleanup of project files by coordinating multiple specialized agents to identify and remove unnecessary items while preserving project integrity.

Core Features & Use Cases

  • Orchestrates 6 parallel cleanup agents for comprehensive analysis across code, binaries, assets, docs, configs, and containers.
  • Generates per-category findings, space savings estimates, and a consolidated cleanup plan with safety checkpoints and backups.
  • Supports interactive user confirmation, safe-mode operation, and incremental cleanup to minimize risk in large codebases.

Quick Start

Run the skill on a target directory to start a safety-first cleanup analysis and produce a removal plan.

Frequently Asked Questions about clean

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I safely clean up unnecessary files in a large monorepo?

To safely clean up a large monorepo, you can orchestrate parallel cleanup agents that analyze code, binaries, assets, docs, and configs to identify removable items while preserving project integrity through safety checks and backups.

What is parallel codebase cleanup and how does it work?

Parallel codebase cleanup works by running multiple specialized agents simultaneously across different file categories like code, assets, and configs to identify unnecessary items, estimate space savings, and generate a consolidated removal plan with safety checkpoints.

Can I selectively prune code and binaries in a multi-language project without breaking dependencies?

Yes, you can selectively prune code and binaries in multi-language projects by using safety validation, incremental cleanup, and user confirmation checkpoints to ensure dependencies and project integrity are preserved during the removal process.

What's the best way to generate a cleanup report for project files?

The best way to generate a cleanup report for project files is to run parallel cleanup agents that produce per-category findings, space savings estimates, and a final consolidated cleanup plan with safety validation details.

Does safe-mode cleanup support backups before removing files?

Yes, safe-mode cleanup supports backups before removing files, applying safety checkpoints and interactive user confirmations to minimize risk when pruning code, binaries, assets, docs, and configs across large project trees.