RubenAQuispe Token Saver
💡 Did you know? Every time you send a prompt, your workspace files (SOUL.md, USER.md, MEMORY.md, AGENTS.md, and more) are sent along with it — every single time. These files count toward your context window, slowing down responses and costing you real money on every message. Token Saver compresses these files using AI-efficient notation that preserves all your data while making everything lighter, faster, and cheaper.
Cut your AI costs by 40-90% with one command.
What You Get
/optimize
A clean dashboard showing:
🗜️ File Compression — Scans ALL your .md workspace files and shows exactly how much you can save by compressing them to AI-efficient notation. MEMORY.md alone typically saves 90%+.
🤖 Model Audit — Detects which AI models you're using (main chat, cron jobs, subagents) and recommends cheaper alternatives with specific dollar savings.
📊 Combined Savings — Total weekly/monthly/annual savings estimate across both optimizations.
Commands
| Command | What it does |
|---|---|
/optimize |
Dashboard with all savings options |
/optimize tokens |
Compress workspace files (auto-backup) |
/optimize models |
Detailed model cost comparison |
/optimize revert |
Restore files from backups |
✨ Persistent Mode (Auto-Enabled)
When you run /optimize tokens, the skill also enables Persistent Mode — a one-liner instruction added to AGENTS.md that tells your AI to keep writing in compressed notation going forward. This means:
- One-and-done optimization — files stay lean as your AI adds new content
- No re-optimization needed — AI maintains the compressed format automatically
- Easy to turn off —
/optimize revertremoves persistent mode and restores all files
Without persistent mode, workspace files would gradually grow back to verbose format as your AI writes new entries.
Safety
- Auto-backup before any file change
- "Possible savings" shown until you actually apply
- One-command revert —
/optimize revertrestores everything + turns off persistent mode - Only compresses files where real savings exist
How It Works
AI models understand compressed notation perfectly:
Before (500+ tokens):
When Ruben greets me in the morning with phrases like "good morning" or "what's on today", I should proactively review our task list, mention pending items, and check for urgent issues...
After (30 tokens):
MORNING: greeting → review(todos+pending+urgent)
Same meaning. 90% fewer tokens. Real dollar savings.
Scripts
scripts/optimizer.js— Main dashboard and command handlerscripts/analyzer.js— Token counting, model detection, cost calculationsscripts/compressor.js— AI-notation compression engine