caveman

Convert model responses into caveman-style prose with adjustable intensity levels.

1|Updated May 26, 2025
One-click install
npx skills add https://github.com/remcostoeten/dotfiles --skill caveman-remcostoeten
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: caveman
Source: https://github.com/remcostoeten/dotfiles/tree/main/configs/agents/skills/caveman
Command: npx skills add https://github.com/remcostoeten/dotfiles --skill caveman-remcostoeten

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill compresses model responses to a caveman-style prose, reducing token usage while preserving technical accuracy.

Core Features & Use Cases

  • Ultra-Compression: Cuts token usage by 65-75% with full accuracy.
  • Intensity Levels: Offers six intensity levels from minimal to extreme compression.
  • Auto-Clarity: Automatically switches to normal prose for clarity when necessary.
  • Use Case: When you need to convey technical information concisely, without losing important details.

Quick Start

Enable caveman mode with the command /caveman.

Frequently Asked Questions about caveman

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I compress LLM responses to reduce token usage while keeping technical details intact?

You can compress LLM responses by converting them to caveman-style prose, which cuts token usage by 65-75% while maintaining technical accuracy. This text compression technique ensures technical communication remains intact despite response reduction.

What intensity levels are available for text compression in technical communication?

Text compression offers six intensity levels ranging from minimal to extreme compression. This allows you to control token efficiency and response reduction based on the required level of technical communication brevity.

Does the caveman style compression automatically switch back to normal prose for clarity?

Yes, auto-clarity automatically switches to normal prose when necessary for technical communication clarity. This ensures text compression never obscures essential technical details during response reduction.

How do I start using caveman style for token efficiency in my responses?

Enable caveman mode by using the command `/caveman` to start compressing responses. This activates text compression for technical communication, immediately reducing token usage while preserving technical accuracy.

What is the best way to reduce token count without losing technical accuracy in model outputs?

The best way to reduce token count without losing technical accuracy is applying caveman-style prose compression. This approach achieves 65-75% response reduction while ensuring technical communication details remain fully intact.

When should I avoid using extreme text compression for technical communication?

You should avoid extreme text compression when technical communication requires standard prose for maximum clarity. Although auto-clarity switches modes when necessary, extreme compression might still hinder readability for complex technical details.