caveman

Compress text output into concise caveman-style responses across multiple turns.

Updated Jan 13, 2025
One-click install
npx skills add https://github.com/phucle297/dotfiles --skill caveman-phucle297
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: caveman
Source: https://github.com/phucle297/dotfiles/tree/main/.claude/plugins/cache/caveman/caveman/ef6050c5e184/caveman
Command: npx skills add https://github.com/phucle297/dotfiles --skill caveman-phucle297

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps users compress their text output by speaking in a more concise manner, reducing token usage while maintaining technical accuracy.

Core Features & Use Cases

  • Ultra-Compressed Communication: Cuts token usage by up to 75%.
  • Intensity Levels: Offers various levels of compression from 'lite' to 'wenyan-ultra'.
  • Auto-Clarity: Automatically reverts to normal mode in certain scenarios to avoid ambiguity.
  • Persistence: Active until manually disabled or session end.

Quick Start

Enable caveman mode by typing "/caveman" or say "use caveman mode".

Frequently Asked Questions about caveman

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

FAQPage Schema
How do I reduce AI response token usage during long conversations?

Text compression techniques like caveman mode reduce AI response token usage by applying stylized output formatting, cutting tokens by up to 75% while maintaining technical accuracy across multiple conversation turns.

What is caveman-style text compression and how does it work?

Caveman-style text compression is a response optimization method that reduces token usage by applying concise formatting across multiple conversation turns, persisting until manually disabled to ensure sustained efficiency.

Does text compression affect technical accuracy when optimizing AI interactions?

Text compression maintains technical accuracy during AI interactions by utilizing an auto-clarity feature that automatically reverts to normal response mode whenever heavy compression risks creating ambiguity.

Can I adjust the intensity level of response optimization for different use cases?

You can adjust response optimization intensity by selecting from various compression tiers ranging from 'lite' to 'wenhan-ultra', allowing you to balance token efficiency with readability across different technical use cases.

How do I enable and disable caveman mode for token efficiency?

To enable caveman mode for token efficiency, type "/caveman" or say "use caveman mode". The compression feature remains active until manually disabled or the current session ends.