caveman

Reduce token usage by removing filler words while preserving technical accuracy.

1|Updated Mar 9, 2026
One-click install
npx skills add https://github.com/danievanzyl/code-skills --skill caveman-danievanzyl
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: caveman
Source: https://github.com/danievanzyl/code-skills/tree/main/skills/caveman
Command: npx skills add https://github.com/danievanzyl/code-skills --skill caveman-danievanzyl

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Ultra-compressed communication mode that cuts token usage by removing filler, articles, and pleasantries while preserving full technical accuracy.

Core Features & Use Cases

  • Removes filler and unnecessary words to reduce token usage in technical chats.
  • Keeps technical accuracy intact when brief responses are needed in coding sessions.
  • Use cases: when user asks for brevity, or invokes caveman mode.

Quick Start

Activate caveman mode and respond tersely with direct, technical statements.

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 prompting during coding sessions?

Token minimization in AI prompting drops filler, articles, and pleasantries while preserving technical accuracy. This rule-based interaction mode strips unnecessary words to compress responses and save token costs.

What is caveman mode for concise communication in technical chats?

Caveman mode is an ultra-compressed communication style that removes filler and unnecessary words to reduce token usage in technical chats. It keeps technical accuracy intact when brief responses are needed.

How do I activate terse response mode and then resume normal output?

Activate terse mode by invoking caveman mode or asking for brevity. It implements persistent rule-based drop rules with optional exception handling, allowing you to resume normal mode when explicitly asked.

Does dropping articles and filler words affect technical accuracy in AI responses?

Dropping articles and filler words does not affect technical accuracy. The mode removes pleasantries while keeping the technical details intact, ensuring precise, direct statements for coding sessions.

When should I use token minimization instead of standard AI prompts?

Use token minimization when you need brevity or want to reduce token usage in coding sessions. It is ideal for terse, precise communication, dropping filler while keeping technical accuracy intact.

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