Big Tech AI pricing went up. Token waste went up faster. We measured ours: 389,169 tokens burned at session start before a single real prompt. Fixed it. Saved 750ドル/month across 15 projects from context discipline alone.
That's the receipts. Here's the toolkit.
Audits your Claude Code context surfaces. Generates a Runtime Diet Card showing exactly where tokens bleed.
curl -sL https://skinny.cloud/diet.sh | bash→ github.com/skinny-cloud/runtime-diet-autopilot
Multi-repo context audit. One score across your entire Claude Code footprint.
March–April 2026: Claude Code quota crisis hit hard. We audited instead of complaining. Found 768MB sitting in ~/.claude/projects. Found session-start context bloat nobody was measuring. Built tooling to fix it systematically.
The movement: lean AI ops. Not "use AI less" — use it without waste.