Breaking

Open-source "Caveman" skill cuts AI coding output tokens by 65%

June 30, 2026 at 13:16 EDT

Software Dev & Coding
Open Source
AI Agents

An open-source skill for Claude Code called "Caveman" has been released, reportedly cutting output tokens by an average of 65% by stripping verbose wording from AI responses. It supports more than 30 AI coding agents, including Anthropic's Claude.

April 2026 · Caveman for Claude Code

Talk Like a Caveman, Burn Fewer Tokens

An open-source skill forces Claude Code to drop filler and reply in terse "caveman" shorthand — cutting output tokens by an average of 65% so coding sessions last longer and costs stay down.

65%

Average output-token reduction across 10 tasks

87%

Max cut (React error boundary task)

~2×

Effective usage before hitting rate limits

Output tokens per task — Normal vs Caveman

Same unit: output tokens. Taller column = more tokens generated.

3454

Normal
(React fix)

456

Caveman
(87% cut)

1214

Normal
(10-task avg)

294

Caveman
(65% cut)

Same fix, fewer words

Normal

"The reason your component is re-rendering is that a new object reference is created on every render..."

Caveman

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

Why developers like it

Rate limits hit far slower — roughly double the usage
Works across 30+ agents (Cursor, Copilot, Gemini CLI…)
lite / full / ultra compression levels via /caveman
Some tests saw more focused, higher pass-rate answers

Where it falls short

Only trims output — little help when input context is the cost driver
Terse style may slightly dent complex reasoning quality
Optimizing the whole input often matters more than output alone

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