npx claudepluginhub whiteminds/disk-space-analyzer-skillClaude Code Skill for analyzing disk space and finding cleanable files. Supports both Windows (via WizTree) and macOS with OS-specific workflows.
Analyze disk space and find cleanable files. Works with Claude Code, other AI assistants, or standalone.
https://github.com/user-attachments/assets/b559c502-a1ad-4e1b-98bf-1bf0b550d65e
/plugin marketplace add WhiteMinds/disk-space-analyzer-skill
/plugin install disk-space-analyzer@disk-space-analyzer-skill
/plugin install https://github.com/WhiteMinds/disk-space-analyzer-skill
macOS/Linux:
git clone https://github.com/WhiteMinds/disk-space-analyzer-skill.git /tmp/disk-space-analyzer-temp
mkdir -p ~/.claude/skills
cp -r /tmp/disk-space-analyzer-temp/skills/disk-space-analyzer ~/.claude/skills/
rm -rf /tmp/disk-space-analyzer-temp
Windows (PowerShell):
git clone https://github.com/WhiteMinds/disk-space-analyzer-skill.git $env:TEMP\disk-space-analyzer-temp
New-Item -ItemType Directory -Force -Path $env:USERPROFILE\.claude\skills
Copy-Item -Recurse $env:TEMP\disk-space-analyzer-temp\skills\disk-space-analyzer $env:USERPROFILE\.claude\skills\
Remove-Item -Recurse -Force $env:TEMP\disk-space-analyzer-temp
macOS/Linux:
git clone https://github.com/WhiteMinds/disk-space-analyzer-skill.git /tmp/disk-space-analyzer-temp
mkdir -p .claude/skills
cp -r /tmp/disk-space-analyzer-temp/skills/disk-space-analyzer .claude/skills/
rm -rf /tmp/disk-space-analyzer-temp
Windows (PowerShell):
git clone https://github.com/WhiteMinds/disk-space-analyzer-skill.git $env:TEMP\disk-space-analyzer-temp
New-Item -ItemType Directory -Force -Path .claude\skills
Copy-Item -Recurse $env:TEMP\disk-space-analyzer-temp\skills\disk-space-analyzer .claude\skills\
Remove-Item -Recurse -Force $env:TEMP\disk-space-analyzer-temp
Copy the skills/disk-space-analyzer/ folder to your Cursor skills directory:
~/.cursor/skills/disk-space-analyzer/%USERPROFILE%\.cursor\skills\disk-space-analyzer\git clone https://github.com/WhiteMinds/disk-space-analyzer-skill
cd disk-space-analyzer-skill/skills/disk-space-analyzer
No dependencies required - uses Python standard library only.
Once installed, just ask naturally:
The AI will automatically detect your OS and use the appropriate workflow.
❯ /disk-space-analyzer C:
● I'll analyze your C: drive disk space. Let me first check the OS and then read the Windows workflow documentation.
● Bash(python3 -c "import sys; print(sys.platform)")
⎿ win32
● Read 1 file (ctrl+o to expand)
● You're on Windows. Let me set up WizTree and start the disk analysis.
● Bash(cd "...\disk-space-analyzer" && python scripts/windows/find_wiztree.…)
⎿ C:\Users\white\.wiztree\WizTree64.exe
● WizTree is available. Now let me run it to scan your C: drive and export the data.
● Bash(cd "...\disk-space-analyzer" && python scripts/windows/run_wiztree.p…)
⎿ Running: C:\Users\white\.wiztree\WizTree64.exe C: /export=...\disk_report.csv /admin=0
Exporting... 32,616,892 bytes
Exporting... 71,684,470 bytes
… +7 lines (ctrl+o to expand)
● Scan complete. Now let me analyze the disk space usage.
● C: Drive Disk Space Analysis
Overview
┌─────────────────────┬───────────┐
│ Metric │ Value │
├─────────────────────┼───────────┤
│ Total Used │ 846.5 GB │
├─────────────────────┼───────────┤
│ Total Files │ 3,935,901 │
├─────────────────────┼───────────┤
│ Potential Cleanable │ ~247 GB │
└─────────────────────┴───────────┘
Top Space Consumers by Folder
┌───────────────────────────┬──────────┐
│ Location │ Size │
├───────────────────────────┼──────────┤
│ C:\Users\white\ │ 458.9 GB │
├───────────────────────────┼──────────┤
│ C:\ProgramData\Microsoft\ │ 136.8 GB │
├───────────────────────────┼──────────┤
│ C:\Windows\System32\ │ 20.6 GB │
└───────────────────────────┴──────────┘
RuFlo Marketplace: Claude Code native agents, swarms, workers, and MCP tools for continuous software engineering
Claude Code marketplace entries for the plugin-safe Antigravity Awesome Skills library and its compatible editorial bundles.
Production-ready workflow orchestration with 84 marketplace plugins, 192 local specialized agents, and 156 local skills - optimized for granular installation and minimal token usage