caveman

Compress verbose AI responses into concise caveman-style prose.

Updated Jul 14, 2026
One-click install
npx skills add https://github.com/ojrojas/OroIdentityServer --skill caveman-ojrojas
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: caveman
Source: https://github.com/ojrojas/OroIdentityServer/tree/main/.agents/skills/caveman
Command: npx skills add https://github.com/ojrojas/OroIdentityServer --skill caveman-ojrojas

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill reduces unnecessary response length and token usage while keeping important technical details, code, and exact terminology intact.

Core Features & Use Cases

  • Response Compression: Converts verbose AI replies into concise caveman-style prose with configurable intensity levels.
  • Language Preservation: Keeps the user's dominant language while applying compression rules and protecting technical content.
  • Use Case: Use this Skill when reviewing large technical discussions, optimizing AI usage costs, or requesting brief answers without losing accuracy.

Quick Start

Ask the AI to use caveman mode and provide a concise response while preserving all important technical details.

Frequently Asked Questions about caveman

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

FAQPage Schema
How do I compress verbose AI responses while preserving technical accuracy?

To compress verbose AI responses while preserving technical accuracy, you can apply configurable compression levels that shorten text while keeping essential code, exact terminology, and dominant language intact.

What is the best way to reduce token usage in large technical discussions?

Reducing token usage in large technical discussions involves applying conciseness rules that strip verbosity while safeguarding ambiguous or security-sensitive content from being lost or altered.

Can I get concise AI answers without losing important code details?

Yes, you can get concise AI answers without losing important code details by applying a compression mode that protects exact terminology and technical content during the shortening process.

Does response compression work with non-English languages?

Response compression works with non-English languages by detecting and preserving the user's dominant language while applying the conciseness rules to the generated reply.

What are the limitations of using caveman mode for technical communication?

The limitation of using caveman mode for technical communication is that extreme conciseness may obscure ambiguous context, so it includes safeguards to prevent altering security-sensitive content.