Cut ~65% of your AI tokens with one free skill — and get a more accurate model while you do it

Get the Caveman Playbook

Uber burned its entire 2026 AI budget in four months. Microsoft is revoking Claude Code. The bills got so big the giants are rationing AI — but they're plugging the wrong hole. This field guide is the free, open-source fix: caveman, a skill (70,000+ GitHub stars, MIT) that strips the verbosity an AI is paid by the word to produce, while keeping every line of code intact. Inside: the one-line install, all 6 commands, the 4 compression levels (lite/full/ultra/wenyan), the /caveman-compress trick that banks ~46% input-token savings on every session, the real benchmark table (−65% on average, up to −87%), and the safety net that keeps full clarity for anything risky. Plus the March 2026 arXiv paper proving the twist that makes this jaw-dropping: forcing the model to be brief improved large-model accuracy by +26 points and reversed the performance hierarchy. Cheaper AND smarter — the same move.

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