caveman

Compress technical outputs into concise caveman-style responses with configurable intensity levels.

Updated Feb 9, 2026
One-click install
npx skills add https://github.com/tradertunante/servicecontrol --skill caveman-tradertunante
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: caveman
Source: https://github.com/tradertunante/servicecontrol/tree/main/.agents/skills/caveman
Command: npx skills add https://github.com/tradertunante/servicecontrol --skill caveman-tradertunante

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Compress technical outputs without sacrificing accuracy to reduce token usage and response length.

Core Features & Use Cases

  • Ultra-compact mode with configurable intensity levels (lite, full, ultra, wenyan-lite, wenyan-full, wenyan-ultra).
  • Persistence and explicit guidelines across interactions to maintain caveman style.
  • Use case: rapid, precise technical explanations in coding, debugging, and system dialogs.

Quick Start

Instruct the AI to switch to caveman mode (e.g., "caveman mode" or "/caveman") and maintain caveman output until told otherwise.

Frequently Asked Questions about caveman

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

FAQPage Schema
How do I compress technical outputs to reduce token usage without losing accuracy?

You can compress technical outputs without sacrificing accuracy by applying caveman mode, which reduces token usage and response length while maintaining precise technical details for code blocks, error messages, and commands.

What are the different intensity levels for concise tech communication?

Concise tech communication intensity levels include lite, full, ultra, wenyan-lite, wenyan-full, and wenyan-ultra. These configurable modes control the compression level applied to technical outputs across chat interactions.

Can I maintain a concise output mode persistently across multiple chat interactions?

Yes, you can maintain concise output persistently across multiple chat interactions. The mode implements persistence rules and explicit constraints to maintain the caveman style until you explicitly instruct it to switch back.

How do I switch to ultra-compact mode for rapid technical explanations?

Switch to ultra-compact mode by instructing the AI with commands like "caveman mode" or "/caveman". The system then applies explicit constraints and maintains ultra-compact, accurate technical outputs until told otherwise.

When should I use token optimization for technical chat scenarios?

Use token optimization for technical chat scenarios needing concise, precise technical details, including code blocks, error messages, and commands. It is ideal for rapid explanations during coding, debugging, and system dialogs.

Does compressing error messages and code blocks affect debugging accuracy?

Compressing error messages and code blocks does not affect debugging accuracy because the mode compresses technical outputs without sacrificing accuracy, ensuring precise technical details remain intact across all configured intensity levels.