Identify and categorize large non-essential files and directories for manual cleanup.
npx skills add https://github.com/zcaceres/skills --skill storage-cleanup
Please help me install this Agent Skill. Skill: storage-cleanup Source: https://github.com/zcaceres/skills/tree/main/skills/storage-cleanup Command: npx skills add https://github.com/zcaceres/skills --skill storage-cleanup
This skill solves the problem of accumulating massive amounts of digital clutter, such as stale node_modules, unused AI models, and forgotten cache files, which consume significant disk space and degrade system performance.
Ask the agent to find large files and directories that are safe to delete to free up space on your computer.
High-intent search queries and answers about installing and using this skill.
Your macOS disk fills up quickly because project dependencies, such as node_modules, and package caches accumulate massive amounts of digital clutter. These forgotten cache files consume significant disk space and degrade system performance.
To safely reclaim disk space on macOS, you can identify and categorize large non-essential files like stale node_modules and unused AI models. This process requires explicit user confirmation for all cleanup actions to ensure data safety.
The best way to clear Docker artifacts and package caches safely is through categorized scanning that audits seven distinct storage areas. It identifies safe-to-delete items while strictly avoiding auto-deletion to protect your system dependencies.
You can locate large local AI model repositories by running a categorized disk audit that targets diverse storage locations. This identifies non-essential files and directories, providing actionable commands to help you manually clear them.
No, macOS storage cleanup does not automatically delete your project dependencies or cache files. It follows a risk-aware workflow that strictly avoids auto-deletion, requiring explicit user confirmation before any cleanup action is executed.
Accumulating stale node_modules and unused AI models degrades system performance because this digital clutter consumes significant disk space. Identifying and categorizing these large non-essential files helps facilitate manual disk space reclamation.
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