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Free My Disk

Community
wquguru
free-my-disk

Safely audit and reclaim disk space on macOS and Ubuntu/Linux hosts, including remote servers over SSH. Use when the user says their Mac, Linux box, VPS, or server disk is full, asks what can be safely deleted, wants to clean caches, developer artifacts, Docker storage, apt/Homebrew/npm/pnpm/yarn/pip/uv caches, journal/log files, Xcode data, editor extensions, node_modules, Trash, crontab/systemd timer disk checks, or asks for a repeatable free-space cleanup workflow.

Overview

Publisherwquguru
Repositoryskills
Skill namefree-my-disk
Stars
94
Forks
7
Bundled files
3
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by wquguru on GitHub. Read the source before you install it.

Installation

Install the Free My Disk AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/wquguru/skills/tree/main/skills/free-my-disk
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/wquguru/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/free-my-disk .claude/skills/free-my-disk
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Free My Disk in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Free My Disk on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Free My Disk is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Free My Disk

Core Rule

Prefer a read-only audit before deleting anything. Classify findings into safety tiers, explain likely impact, and only delete after the user clearly asks to clean. Never delete personal documents, project archives, photos, mail, source repositories, Docker volumes, databases, app containers, or production data unless the user explicitly names them.

Quick Audit

Detect the platform first:

bash
uname -a
df -h /

For macOS, run the bundled read-only script first when possible:

bash
bash scripts/audit_macos_disk.sh

Use PROJECT_SCAN=1 bash scripts/audit_macos_disk.sh to include common project roots such as ~/projects, ~/code, ~/src, and ~/work. Use FULL_SCAN=1 bash scripts/audit_macos_disk.sh only when the user wants a deeper scan and the disk has enough free space for a slower traversal.

For Ubuntu/Linux, run the bundled read-only script first when possible:

bash
bash scripts/audit_linux_disk.sh

Use PROJECT_SCAN=1 bash scripts/audit_linux_disk.sh to include common user and project roots such as ~/projects, ~/code, ~/src, ~/work, and /opt. Use FULL_SCAN=1 bash scripts/audit_linux_disk.sh only when the user wants a deeper scan.

For a remote host, replace my-server with the actual hostname or SSH config alias, then copy or stream the script over SSH:

bash
ssh my-server 'bash -s' < scripts/audit_linux_disk.sh
ssh my-server 'PROJECT_SCAN=1 bash -s' < scripts/audit_linux_disk.sh

If the script is not suitable, gather the same facts manually:

bash
df -h /
du -sh ~/Library/Caches ~/.npm ~/.pnpm-store ~/.yarn ~/.cache ~/Library/Logs ~/.Trash 2>/dev/null
du -sh ~/Library/Containers/com.docker.docker ~/Library/Developer ~/Downloads 2>/dev/null
find ~ -xdev -type f -size +1G -print 2>/dev/null | head -100

On Linux, prefer these manual checks:

bash
df -h /
df -ih /
sudo du -xhd 1 / 2>/dev/null | sort -h | tail -30
du -sh ~/.cache ~/.npm ~/.pnpm-store ~/.yarn ~/.cache/pip ~/.local/share/uv ~/.local/share/Trash 2>/dev/null
sudo journalctl --disk-usage 2>/dev/null || true
docker system df 2>/dev/null || true
find "$HOME" -xdev -type f -size +1G -print 2>/dev/null | head -100

Use du -xhd 1 <dir> | sort -h | tail for large directories. Prefer targeted scans over full-home scans when the disk is very full. On remote Linux servers, include inode pressure with df -ih /; many tiny logs or cache files can fill inodes before bytes.

Safety Tiers

Treat these as usually safe to clean on macOS:

  • Homebrew old versions and cache: brew cleanup, then optionally remove ~/Library/Caches/Homebrew/*.
  • Package manager caches: npm cache clean --force, pnpm store prune, yarn cache clean.
  • Reinstallable dependencies the user names: node_modules, .venv, build outputs, .next, dist, target.
  • User logs: files under ~/Library/Logs.
  • Trash: ~/.Trash, only after confirming nothing important is there.

Treat these as usually safe to clean on Ubuntu/Linux:

  • Apt package cache: sudo apt-get clean and sudo apt-get autoclean.
  • Unused distro packages: sudo apt-get autoremove --purge, after reviewing the package list.
  • Package manager caches: npm cache clean --force, pnpm store prune, yarn cache clean, pip cache purge, uv cache clean.
  • Systemd journal vacuuming by size or time, for example sudo journalctl --vacuum-time=14d or sudo journalctl --vacuum-size=500M.
  • Reinstallable dependencies the user names: node_modules, .venv, build outputs, .next, dist, target.
  • User trash and caches: ~/.local/share/Trash and ~/.cache, after checking they are not application state.

Treat these as safe but with workflow impact:

  • VS Code/Cursor extensions under ~/.vscode/extensions and ~/.cursor/extensions; deleting them uninstalls extensions.
  • Xcode DerivedData and simulator caches; deleting them slows the next build or simulator boot.
  • Python/uv/pip caches and tool environments; deleting them may require reinstalling tools.
  • Agent or editor histories such as .claude/projects, .codex/sessions, .cursor/projects; deleting them may remove local history.
  • Large rotated logs under /var/log; truncate or rotate named logs rather than deleting active log files.
  • Snap, Flatpak, conda, and language runtime caches; deleting them may require redownloading packages or rebuilding environments.

Treat these as high impact:

  • Docker Desktop Docker.raw: never delete directly. Use Docker prune commands and Docker Desktop compaction/reset behavior.
  • Docker volumes: do not run docker volume prune unless the user explicitly accepts losing persistent container data. On servers, assume volumes may contain databases, Grafana/InfluxDB state, uploads, or other service data.
  • ~/Downloads, project archives, media, iCloud Drive, Mail, Photos libraries, and app containers: report size and ask.
  • APFS local snapshots: report them, but avoid deleting snapshots unless the user explicitly asks and understands the backup/update implications.
  • Linux service data under /var/lib, /srv, /opt, /home/*, database directories, backups, and container bind mounts: report size and ask before changing.
  • Kernel or boot cleanup under /boot: prefer package-manager removal of old kernels; do not manually delete kernel files unless recovering from a blocked package manager and the user accepts the risk.

Remote Linux Example

Treat remote servers as production-like Ubuntu/Linux hosts unless the user says otherwise. In examples, replace my-server with the actual hostname or SSH config alias.

  1. Start read-only and capture host pressure:
bash
ssh my-server 'df -h /; df -ih /; uname -a; sudo journalctl --disk-usage 2>/dev/null || true; docker system df 2>/dev/null || true'
  1. Run the Linux audit script:
bash
ssh my-server 'PROJECT_SCAN=1 bash -s' < scripts/audit_linux_disk.sh
  1. For a large root filesystem, inspect one level at a time:
bash
ssh my-server 'sudo du -xhd 1 / 2>/dev/null | sort -h | tail -30'
ssh my-server 'sudo du -xhd 1 /var 2>/dev/null | sort -h | tail -30'
  1. Clean low-risk server candidates first when asked:
bash
ssh my-server 'sudo apt-get clean && sudo apt-get autoclean'
ssh my-server 'sudo journalctl --vacuum-time=14d'
ssh my-server 'docker system prune -af && docker builder prune -af && docker system df'

Skip docker volume prune, /var/lib/docker/volumes, database directories, and application data unless the user explicitly accepts losing or rebuilding that data.

Scheduled Monitoring

Do not create or edit crontab, launchd jobs, systemd timers, or Codex automations unless the user asks for scheduled monitoring or cleanup. Default scheduled jobs to read-only audit/reporting. Do not schedule destructive cleanup commands such as rm -rf, docker system prune, docker volume prune, apt-get autoremove, or journal vacuuming unless the user explicitly accepts the exact command, cadence, and impact.

Before adding a schedule, ask concise questions. If an interactive user-input tool such as AskUserQuestion or request_user_input is available, use it; otherwise ask in chat:

  • Target: local macOS, local Linux, or remote SSH host?
  • Mode: read-only audit/report only, or user-approved low-risk cleanup?
  • Cadence and output: daily/weekly/monthly, preferred time, log path, and alert threshold?

For Linux servers, prefer a report-only crontab entry with absolute paths and a dedicated log directory:

bash
mkdir -p "$HOME/.local/state/free-my-disk"
crontab -l > /tmp/free-my-disk.cron 2>/dev/null || true
grep -v 'free-my-disk audit' /tmp/free-my-disk.cron > /tmp/free-my-disk.new
printf '0 8 * * * PROJECT_SCAN=1 /absolute/path/to/audit_linux_disk.sh >> "$HOME/.local/state/free-my-disk/audit.log" 2>&1 # free-my-disk audit\n' >> /tmp/free-my-disk.new
crontab /tmp/free-my-disk.new
rm /tmp/free-my-disk.cron /tmp/free-my-disk.new

For macOS, prefer scheduled audit logs with launchd only if the user wants persistent local scheduling; otherwise run the audit on demand. For remote hosts, install the schedule on the remote host only after confirming the SSH target and where logs should live.

Cleanup Workflow

  1. State current free space from df -h /.
  2. Report candidates by tier with sizes and impact.
  3. Clean low-risk macOS caches first when asked:
bash
brew cleanup
npm cache clean --force
pnpm store prune
yarn cache clean
  1. Remove user-named reinstallable directories with rm -rf only after repeating the exact paths.
  2. For Docker, start Docker Desktop if needed, then run:
bash
docker system prune -af
docker builder prune -af
docker system df

Skip docker volume prune -f unless the user explicitly requests volume deletion.

  1. On Ubuntu/Linux, clean low-risk system caches first when asked:
bash
sudo apt-get clean
sudo apt-get autoclean
sudo apt-get autoremove --purge
sudo journalctl --vacuum-time=14d
npm cache clean --force
pnpm store prune
yarn cache clean
pip cache purge
uv cache clean

Review apt-get autoremove output before accepting removal if the host is production-like.

  1. Recheck:
bash
df -h /
df -ih /
docker system df 2>/dev/null || true

Summarize what was cleaned, what was intentionally skipped, the new free-space number, and any follow-up impact such as reinstalling editor extensions or dependencies.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Free My Disk AI skill do?

Safely audit and reclaim disk space on macOS and Ubuntu/Linux hosts, including remote servers over SSH. Use when the user says their Mac, Linux box, VPS, or server disk is full, asks what can be safely deleted, wants to clean caches, developer artifacts, Docker storage, apt/Homebrew/npm/pnpm/yarn/pip/uv caches, journal/log files, Xcode data, editor extensions, node_modules, Trash, crontab/systemd timer disk checks, or asks for a repeatable free-space cleanup workflow.

Why use Free My Disk on TypingMind?

Because you install it once and use it with any model. Free My Disk is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Free My Disk in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/wquguru/skills/tree/main/skills/free-my-disk. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Free My Disk?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Free My Disk?

As many as you like. As long as a model supports skills, you can use Free My Disk with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Free My Disk AI skill free?

It is published on GitHub by wquguru. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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