caveman

why use many token when few do trick

Before/After • Install • Levels • Skills • Benchmarks • Evals

A Claude Code skill/plugin and Codex plugin that makes agent talk like caveman — cutting ~75% of output tokens while keeping full technical accuracy. Now with 文言文 mode, terse commits, one-line code reviews, and a compression tool that cuts ~46% of input tokens every session.

Based on the viral observation that caveman-speak dramatically reduces LLM token usage without losing technical substance. So we made it a one-line install.

Before / After

🗣️ Normal Claude (69 tokens)

"The reason your React component is re-rendering is likely because you're creating a new object reference on each render cycle. When you pass an inline object as a prop, React's shallow comparison sees it as a different object every time, which triggers a re-render. I'd recommend using useMemo to memoize the object."

🪨 Caveman Claude (19 tokens)

"New object ref each render. Inline object prop = new ref = re-render. Wrap in useMemo."

🗣️ Normal Claude

"Sure! I'd be happy to help you with that. The issue you're experiencing is most likely caused by your authentication middleware not properly validating the token expiry. Let me take a look and suggest a fix."

🪨 Caveman Claude

"Bug in auth middleware. Token expiry check use < not <=. Fix:"

Same fix. 75% less word. Brain still big.

Pick your level of grunt:

🪶 Lite

"Your component re-renders because you create a new object reference each render. Inline object props fail shallow comparison every time. Wrap it in useMemo."

🪨 Full

"New object ref each render. Inline object prop = new ref = re-render. Wrap in useMemo."

🔥 Ultra

"Inline obj prop → new ref → re-render. useMemo."

📜 文言文

"物出新參照，致重繪。useMemo Wrap之。"

Same answer. You pick how many word.

┌─────────────────────────────────────┐
│  TOKENS SAVED          ████████ 75% │
│  TECHNICAL ACCURACY    ████████ 100%│
│  SPEED INCREASE        ████████ ~3x │
│  VIBES                 ████████ OOG │
└─────────────────────────────────────┘

Faster response — less token to generate = speed go brrr
Easier to read — no wall of text, just the answer
Same accuracy — all technical info kept, only fluff removed (science say so)
Save money — ~71% less output token = less cost
Fun — every code review become comedy

Install

Pick your agent. One command. Done.

Agent	Install
Claude Code	`claude plugin marketplace add JuliusBrussee/caveman && claude plugin install caveman@caveman`
Codex	Clone repo → `/plugins` → Search "Caveman" → Install
Gemini CLI	`gemini extensions install https://github.com/JuliusBrussee/caveman`
Cursor	`npx skills add JuliusBrussee/caveman -a cursor`
Windsurf	`npx skills add JuliusBrussee/caveman -a windsurf`
Copilot	`npx skills add JuliusBrussee/caveman -a github-copilot`
Cline	`npx skills add JuliusBrussee/caveman -a cline`
Any other	`npx skills add JuliusBrussee/caveman`

Install once. Use in every session for that install target after that. One rock. That it.

What You Get

Auto-activation is built in for Claude Code, Gemini CLI, and the repo-local Codex setup below. npx skills add installs the skill for other agents, but does not install repo rule/instruction files, so Caveman does not auto-start there unless you add the always-on snippet below.

caveman

why use many token when few do trick

Before/After • Install • Levels • Skills • Benchmarks • Evals

Based on the viral observation that caveman-speak dramatically reduces LLM token usage without losing technical substance. So we made it a one-line install.