Last commit on July 21, 2026·Created on April 4, 2026
JuliusBrussee/caveman
“Reduces token consumption by stripping linguistic redundancy from LLM interactions.”
Combined rank
#5
across all skills
In Token Optimization
#1
category rank
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Caveman provides a set of compression techniques for Claude Code that minimize token usage during long sessions. By adopting a simplified linguistic style, the skill aims to maintain model utility while significantly reducing the volume of input and output tokens.
WHO IT'S FOR
Claude Code power users
reducing token consumption during long sessions
Prompt engineers
experimenting with extreme token compression techniques
AI automation builders
optimizing subagent communication for context window efficiency