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ThorStarlord
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caveman

Compress conversational responses by removing filler while preserving technical terms and code blocks.

1|Updated May 6, 2026
Search Tags:#technical writing#token optimization#brevity#instruction following#response compression#assistant style
One-click install
npx skills add https://github.com/ThorStarlord/interface-skills --skill caveman-thorstarlord
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: caveman
Source: https://github.com/ThorStarlord/interface-skills/tree/main/skills/caveman
Command: npx skills add https://github.com/ThorStarlord/interface-skills --skill caveman-thorstarlord

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It solves verbose, token-heavy responses by compressing communication without losing technical accuracy, so users get faster, leaner answers.

Core Features & Use Cases

  • Brevity-first output: Drops filler, pleasantries, articles, and hedging to reduce token usage while keeping meaning.
  • Technical precision preserved: Keeps technical terms exact and leaves code blocks unchanged to avoid corruption of critical details.
  • Direct causality and next steps: Uses compact patterns (e.g., X -> Y) and enforces a consistent structure for action and follow-up.

Quick Start

Activate caveman mode and ask your question plainly, for example: "Use caveman mode to explain why a React component re-renders and what I should do next."

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 responses without losing technical accuracy?▼

Token optimization for technical writing removes filler, articles, and hedging to compress responses. It preserves exact technical terms and leaves code blocks unchanged, ensuring leaner answers without corrupting critical details.

How do I get brief and direct technical answers from my assistant?▼

Get brief technical answers by invoking brevity modes like "caveman mode" or "/caveman". This triggers strict dropping rules that eliminate pleasantries and filler, producing terse outputs with direct causality patterns and clear next steps.

Does compressed communication affect code blocks in technical writing?▼

Compressed communication leaves code blocks unchanged in technical writing. Strict dropping rules apply only to conversational filler and hedging, avoiding corruption of critical technical details and syntax.

What is the best way to format terse outputs for technical instructions?▼

Format terse outputs for technical instructions using compact patterns like direct causality (X -> Y) and enforcing consistent structure for action and follow-up. This removes articles and filler while keeping technical precision intact.

When should I avoid using brevity modes for assistant responses?▼

Avoid using brevity modes when tasks require conversational nuance, pleasantries, or detailed explanatory context. Ultra-compressed communication drops articles and hedging, removing tone and soften statements needed for sensitive communication.

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