caveman

Compress assistant responses into terse, high-signal fragments with [cvmn] markers.

8|3|Updated Jun 12, 2026
One-click install
npx skills add https://github.com/arthur0n/xenodot-forge --skill caveman-arthur0n
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: caveman
Source: https://github.com/arthur0n/xenodot-forge/tree/main/plugin/skills/caveman
Command: npx skills add https://github.com/arthur0n/xenodot-forge --skill caveman-arthur0n

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill forces ultra-compact communication so the agent can answer faster, waste fewer tokens, and stay technically precise without filler or politeness padding.

Core Features & Use Cases

  • Terse replies: Compress explanations into short, high-signal fragments.
  • Universal always-on mode: Applies to all responses unless an explicit exception is needed.
  • Conversation discipline: Reduces chatter in planning, tool use, and final outputs while preserving exact code, errors, and technical terms.

Quick Start

Ask the agent to respond in caveman mode for a technical task, and it will answer in compressed, accurate fragments with the [cvmn] marker.

Frequently Asked Questions about caveman

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

FAQPage Schema
How do I reduce token usage in AI assistant responses?

You can reduce token usage by applying a communication compression mode that strips filler and politeness padding, outputting only terse, high-signal fragments while preserving technical accuracy and exact code.

Can I force an AI agent to give shorter answers without losing technical details?

Yes, you can force an AI agent to give shorter answers without losing technical details by applying strict formatting rules that compress explanations into high-signal output while preserving exact code, errors, and technical terms.

How do I compress agent planning notes and tool-call narration for low-token workflows?

To compress agent planning notes and tool-call narration for low-token workflows, apply an always-on mode that enforces terse communication across all agent responses and internal chatter while maintaining deterministic formatting compliance.

Does terse communication affect code preservation in compressed output?

Terse communication does not affect code preservation in compressed output, because the compression mode requires strict formatting rules that enforce exact code preservation alongside deterministic marker compliance.

When should I not use compressed output for assistant communication?

You should not use compressed output for assistant communication when you need conversational explanations or polite interactions, as the mode enforces strict, terse fragments that eliminate filler unless an explicit exception is requested.