caveman

Minimize token usage in technical conversations with intensity controls.

582|Updated Mar 25, 2026
One-click install
npx skills add https://github.com/shobcoder/shob --skill caveman-shobcoder
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: caveman
Source: https://github.com/shobcoder/shob/tree/main/skills/caveman
Command: npx skills add https://github.com/shobcoder/shob --skill caveman-shobcoder

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Ultra-compressed communication mode reduces token usage by speaking like caveman while maintaining full technical accuracy.

Core Features & Use Cases

  • Intensity levels (lite, full, ultra, wenyan-lite, wenyan-full, wenyan-ultra) to control verbosity.
  • Persistence across responses with auto-activation and a simple switch (default full, can be changed with /caveman).
  • Clear, rule-based output that drops filler and hedging while preserving technical substance.

Quick Start

Use caveman mode in your next response to reduce token usage while preserving technical accuracy.

Frequently Asked Questions about caveman

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

FAQPage Schema
How do I minimize token usage in technical conversations without losing accuracy?

To minimize token usage in technical conversations, you can apply an ultra-compressed communication mode that drops filler and hedging while preserving technical substance. This mode uses intensity controls to manage verbosity.

How do I control verbosity levels for quick summaries and debugging chats?

You control verbosity by switching between intensity levels like lite, full, and ultra. These levels manage the compression of explanations, applying persistence across responses with a simple switch for quick summaries and debugging chats.

Does compressed communication work for code reviews and developer workflows?

Compressed communication works for code reviews and developer workflows by applying a rule-based output model that removes filler. It maintains full technical accuracy while significantly reducing the token count of explanations.

Can I persist verbosity control settings across multiple responses?

Verbosity control settings can persist across multiple responses using an auto-activation and frontmatter-guided model. You can change the default full intensity setting with a simple switch command.

What are the limitations of using ultra-compressed communication for technical explanations?

The primary limitation of ultra-compressed communication is that it strips away conversational filler and hedging, which may result in blunt outputs. However, it explicitly preserves all technical accuracy and substance.