caveman

Filter user prompts to remove superfluous language and reduce token count.

1|Updated Dec 26, 2021

Search Tags:#communication #efficiency #token optimization #concision #ai response

Ready to run

npx skills add https://github.com/Zangetsu101/dotfiles --skill caveman-zangetsu101

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: caveman
Source: https://github.com/Zangetsu101/dotfiles/tree/main/agents/skills/caveman
Command: npx skills add https://github.com/Zangetsu101/dotfiles --skill caveman-zangetsu101

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Skill addresses the need for efficient and accurate communication by removing unnecessary language, making every message concise and on point.

Core Features & Use Cases

Token Compression: Reduces message token count by approximately 75% through the elimination of filler words, articles, and pleasantries.
Technical Precision: Maintains accuracy while cutting down on superfluous content, ensuring every detail is relevant.
Pattern Response: Follows a clear pattern that simplifies understanding of instructions, such as: "[thing] [action] [reason]. [next step]."

Quick Start

Activate caveman mode to engage in streamlined, no-nonsense communication.

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 and remove fluff from AI responses?▼

To reduce token usage and remove fluff from AI responses, you can apply a communication filter that eliminates filler words, articles, and pleasantries. This approach compresses message tokens by roughly 75% while maintaining technical precision and context.

What is token optimization for concise AI communication?▼

Token optimization for concise AI communication is the process of omitting superfluous language from prompts to maximize token utilization. By stripping unnecessary pleasantries and filler, it ensures interactions require minimal prompts to maintain intent and technical accuracy.

Does concise communication filtering maintain technical precision in AI prompts?▼

Yes, concise communication filtering maintains technical precision in AI prompts. While it removes extraneous information and filler words, the process is designed to preserve technical accuracy, ensuring every remaining detail is relevant to the core instruction.

How do I format prompts for high token utilization and minimal context?▼

You format prompts for high token utilization by adopting a simplified pattern like "[thing] [action] [reason]. [next step]." This no-nonsense pattern eliminates unnecessary language, ensuring your message is concise, accurate, and directly on point.

When should I use token compression for AI interactions?▼

You should use token compression for AI interactions when efficiency is critical and messages need to be strictly on point. It is ideal for high-volume exchanges where minimizing extraneous information directly reduces token costs without losing intent.