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macos-cleaner

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Analyze and reclaim macOS disk space through intelligent cleanup recommendations. This skill should be used when users report disk space issues, need to clean up their Mac, or want to understand what's consuming storage. Focus on safe, interactive analysis with user confirmation before any deletions.

Generalscripts

What this skill does


# macOS Cleaner

## Overview

Intelligently analyze macOS disk usage and provide actionable cleanup recommendations to reclaim storage space. This skill follows a **safety-first philosophy**: analyze thoroughly, present clear findings, and require explicit user confirmation before executing any deletions.

**Target users**: Users with basic technical knowledge who understand file systems but need guidance on what's safe to delete on macOS.

## Core Principles

1. **Safety First, Never Bypass**: NEVER execute dangerous commands (`rm -rf`, `mo clean`, etc.) without explicit user confirmation. No shortcuts, no workarounds.
2. **Value Over Vanity**: Your goal is NOT to maximize cleaned space. Your goal is to identify what is **truly useless** vs **valuable cache**. Clearing 50GB of useful cache just to show a big number is harmful.
3. **Network Environment Awareness**: Many users (especially in China) have slow/unreliable internet. Re-downloading caches can take hours. A cache that saves 30 minutes of download time is worth keeping.
4. **Impact Analysis Required**: Every cleanup recommendation MUST include "what happens if deleted" column. Never just list items without explaining consequences.
5. **Patience Over Speed**: Disk scans can take 5-10 minutes. NEVER interrupt or skip slow operations. Report progress to user regularly.
6. **User Executes Cleanup**: After analysis, provide the cleanup command for the user to run themselves. Do NOT auto-execute cleanup.
7. **Conservative Defaults**: When in doubt, don't delete. Err on the side of caution.

**ABSOLUTE PROHIBITIONS:**
- ❌ NEVER run `rm -rf` on user directories automatically
- ❌ NEVER run `mo clean` without dry-run preview first
- ❌ NEVER use `docker volume prune -f` or `docker system prune -a --volumes`
- ❌ NEVER skip analysis steps to save time
- ❌ NEVER append `--help` to Mole commands (except `mo --help`)
- ❌ NEVER recommend deleting useful caches just to inflate cleanup numbers

## Workflow Decision Tree

```
User reports disk space issues
           ↓
    Quick Diagnosis
           ↓
    ┌──────┴──────┐
    │             │
Immediate    Deep Analysis
 Cleanup      (continue below)
    │             │
    └──────┬──────┘
           ↓
  Present Findings
           ↓
   User Confirms
           ↓
   Execute Cleanup
           ↓
  Verify Results
```

## Step 1: Quick Diagnosis with Mole

**Primary tool**: Use Mole for disk analysis. It provides comprehensive, categorized results.

### 1.1 Pre-flight Checks

```bash
# Check Mole installation and version
which mo && mo --version

# If not installed
brew install tw93/tap/mole

# Check for updates (Mole updates frequently)
brew info tw93/tap/mole | head -5

# Upgrade if outdated
brew upgrade tw93/tap/mole
```

### 1.2 Choose Analysis Method

**IMPORTANT**: Use `mo analyze` as the primary analysis tool, NOT `mo clean --dry-run`.

| Command | Purpose | Use When |
|---------|---------|----------|
| `mo analyze` | Interactive disk usage explorer (TUI tree view) | **PRIMARY**: Understanding what's consuming space |
| `mo clean --dry-run` | Preview cleanup categories | **SECONDARY**: Only after `mo analyze` to see cleanup preview |

**Why prefer `mo analyze`:**
- Dedicated disk analysis tool with interactive tree navigation
- Allows drilling down into specific directories
- Shows actual disk usage breakdown, not just cleanup categories
- More informative for understanding storage consumption

### 1.3 Run Analysis via tmux

**IMPORTANT**: Mole requires TTY. Always use tmux from Claude Code.

**CRITICAL TIMING NOTE**: Home directory scans are SLOW (5-10 minutes or longer for large directories). Inform user upfront and wait patiently.

```bash
# Create tmux session
tmux new-session -d -s mole -x 120 -y 40

# Run disk analysis (PRIMARY tool - interactive TUI)
tmux send-keys -t mole 'mo analyze' Enter

# Wait for scan - BE PATIENT!
# Home directory scanning typically takes 5-10 minutes
# Report progress to user regularly
sleep 60 && tmux capture-pane -t mole -p

# Navigate the TUI with arrow keys
tmux send-keys -t mole Down    # Move to next item
tmux send-keys -t mole Enter   # Expand/select item
tmux send-keys -t mole 'q'     # Quit when done
```

**Alternative: Cleanup preview (use AFTER mo analyze)**
```bash
# Run dry-run preview (SAFE - no deletion)
tmux send-keys -t mole 'mo clean --dry-run' Enter

# Wait for scan (report progress to user every 30 seconds)
# Be patient! Large directories take 5-10 minutes
sleep 30 && tmux capture-pane -t mole -p
```

### 1.4 Progress Reporting

Report scan progress to user regularly:

```
📊 Disk Analysis in Progress...
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
⏱️ Elapsed: 2 minutes

Current status:
✅ Applications: 49.5 GB (complete)
✅ System Library: 10.3 GB (complete)
⏳ Home: scanning... (this may take 5-10 minutes)
⏳ App Library: pending

I'm waiting patiently for the scan to complete.
Will report again in 30 seconds...
```

### 1.5 Present Final Findings

After scan completes, present structured results:

```
📊 Disk Space Analysis (via Mole)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Free space: 27 GB

🧹 Recoverable Space (dry-run preview):

➤ User Essentials
  • User app cache:     16.67 GB
  • User app logs:      102.3 MB
  • Trash:              642.9 MB

➤ Browser Caches
  • Chrome cache:       1.90 GB
  • Safari cache:       4 KB

➤ Developer Tools
  • uv cache:           9.96 GB
  • npm cache:          (detected)
  • Docker cache:       (detected)
  • Homebrew cache:     (detected)

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Total recoverable: ~30 GB

⚠️ This was a dry-run preview. No files were deleted.
```

## Step 2: Deep Analysis Categories

Scan the following categories systematically. Reference `references/cleanup_targets.md` for detailed explanations.

### Category 1: System & Application Caches

**Locations to analyze:**
- `~/Library/Caches/*` - User application caches
- `/Library/Caches/*` - System-wide caches (requires sudo)
- `~/Library/Logs/*` - Application logs
- `/var/log/*` - System logs (requires sudo)

**Analysis script:**
```bash
scripts/analyze_caches.py --user-only
```

**Safety level**: 🟢 Generally safe to delete (apps regenerate caches)

**Exceptions to preserve:**
- Browser caches while browser is running
- IDE caches (may slow down next startup)
- Package manager caches (Homebrew, pip, npm)

### Category 2: Application Remnants

**Locations to analyze:**
- `~/Library/Application Support/*` - App data
- `~/Library/Preferences/*` - Preference files
- `~/Library/Containers/*` - Sandboxed app data

**Analysis approach:**
1. List installed applications in `/Applications`
2. Cross-reference with `~/Library/Application Support`
3. Identify orphaned folders (app uninstalled but data remains)

**Analysis script:**
```bash
scripts/find_app_remnants.py
```

**Safety level**: 🟡 Caution required
- ✅ Safe: Folders for clearly uninstalled apps
- ⚠️ Check first: Folders for apps you rarely use
- ❌ Keep: Active application data

### Category 3: Large Files & Duplicates

**Analysis script:**
```bash
scripts/analyze_large_files.py --threshold 100MB --path ~
```

**Find duplicates (optional, resource-intensive):**
```bash
# Use fdupes if installed
if command -v fdupes &> /dev/null; then
  fdupes -r ~/Documents ~/Downloads
fi
```

**Present findings:**
```
📦 Large Files (>100MB):
━━━━━━━━━━━━━━━━━━━━━━━━
1. movie.mp4                    4.2 GB  ~/Downloads
2. dataset.csv                  1.8 GB  ~/Documents/data
3. old_backup.zip               1.5 GB  ~/Desktop
...

🔁 Duplicate Files:
- screenshot.png (3 copies)     15 MB each
- document_v1.docx (2 copies)   8 MB each
```

**Safety level**: 🟡 User judgment required

### Category 4: Development Environment Cleanup

**Targets:**
- Docker: images, containers, volumes, build cache
- Homebrew: cache, old versions
- Node.js: `node_modules`, npm cache
- Python: pip cache, `__pycache__`, venv
- Git: `.git` folders in archived projects

**Analysis script:**
```bash
scripts/analyze_dev_env.

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