caveman

Remove filler words and articles from technical chat responses.

36|Updated Jan 28, 2026
One-click install
npx skills add https://github.com/cagdotin/agents --skill caveman-cagdotin
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: caveman
Source: https://github.com/cagdotin/agents/tree/main/skills/productivity/caveman
Command: npx skills add https://github.com/cagdotin/agents --skill caveman-cagdotin

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

High-volume technical chats can waste tokens on filler and pleasantries. This skill delivers ultra-brief responses that preserve technical accuracy.

Core Features & Use Cases

  • Drops articles, filler words, and hedging to minimize token usage while retaining essential meaning.
  • Maintains precise technical terminology and code blocks intact.
  • Use Case: rapid, concise answers during engineering discussions or code reviews where brevity is critical.

Quick Start

Activate caveman mode and respond with terse, precise technical content only.

Frequently Asked Questions about caveman

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

FAQPage Schema
How do I get ultra-brief, token-efficient responses in technical chats?

To get ultra-brief responses, use a token-economy skill that strips filler words and articles while preserving technical accuracy. It enforces brevity by retaining only essential terminology and code blocks.

Can I reduce token usage in engineering discussions without losing code blocks?

Yes, you can reduce token usage in engineering discussions without losing code blocks. The skill removes pleasantries and hedging but leaves precise technical terminology and code snippets completely intact.

Does token-efficient communication work for fast code reviews?

Token-efficient communication works effectively for fast code reviews. It delivers terse, precise technical content by dropping unnecessary articles and filler, making it suitable for rapid Q&A and review sessions.

What is the best way to enforce brevity in AI technical responses?

The best way to enforce brevity in AI technical responses is to apply a constraint that removes filler words and hedging. This ensures responses contain only essential meaning and technical accuracy.

Are there limitations to using ultra-brief responses for general communication?

A limitation of ultra-brief responses is that they are strictly designed for technical chats and code reviews. Removing pleasantries and filler makes them unsuitable for general, conversational, or customer-facing communication.