JuliusBrussee/caveman: ๐Ÿชจ why use many token when few token do trick โ€” Claude Code skill that cuts 75% of tokens by talking like caveman ยท GitHub

๐Ÿ’ฅ Read this trending post from Hacker News ๐Ÿ“–

๐Ÿ“‚ **Category**:

๐Ÿ“Œ **What Youโ€™ll Learn**:

why use many token when few token do trick

Install โ€ข
Before/After โ€ข
Why


A Claude Code skill that makes Claude talk like a caveman โ€” cutting ~75% of tokens while keeping full technical accuracy.

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.

๐Ÿ—ฃ๏ธ 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.”

๐Ÿชจ Caveman Claude (19 tokens)

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

“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.”

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

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

npx skills add JuliusBrussee/caveman

Or with Claude Code plugin system:

claude plugin marketplace add JuliusBrussee/caveman
claude plugin install caveman@caveman

One rock. That it.

Trigger with:

  • /caveman
  • “talk like caveman”
  • “caveman mode”
  • “less tokens please”

Stop with: “stop caveman” or “normal mode”

Thing Caveman Do?
English explanation ๐Ÿชจ Caveman smash filler words
Code blocks โœ๏ธ Write normal (caveman not stupid)
Technical terms ๐Ÿง  Keep exact (polymorphism stay polymorphism)
Error messages ๐Ÿ“‹ Quote exact
Git commits & PRs โœ๏ธ Write normal
Articles (a, an, the) ๐Ÿ’€ Gone
Pleasantries ๐Ÿ’€ “Sure I’d be happy to” is dead
Hedging ๐Ÿ’€ “It might be worth considering” extinct

โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚  TOKENS SAVED          โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ 75% โ”‚
โ”‚  TECHNICAL ACCURACY    โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ 100%โ”‚
โ”‚  SPEED INCREASE        โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ ~3x โ”‚
โ”‚  VIBES                 โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ OOG โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
  • Save money โ€” 75% less token = 75% less cost on output
  • Faster response โ€” less token to generate = speed go brrr
  • Same accuracy โ€” all technical info kept, only fluff removed
  • Fun โ€” every code review become comedy

Caveman not dumb. Caveman efficient.

Normal LLM waste token on:

  • “I’d be happy to help you with that” (8 wasted tokens)
  • “The reason this is happening is because” (7 wasted tokens)
  • “I would recommend that you consider” (7 wasted tokens)
  • “Sure, let me take a look at that for you” (10 wasted tokens)

Caveman say what need saying. Then stop.

If caveman save you mass token, mass money โ€” leave mass star. โญ

MIT โ€” free like mass mammoth on open plain.

๐Ÿ’ฌ **Whatโ€™s your take?**
Share your thoughts in the comments below!

#๏ธโƒฃ **#JuliusBrusseecaveman #token #token #trick #Claude #Code #skill #cuts #tokens #talking #caveman #GitHub**

๐Ÿ•’ **Posted on**: 1775386689

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