caveman

Compress verbose technical prompts into concise, accurate responses.

356|59|Updated Apr 29, 2026
One-click install
npx skills add https://github.com/amazingloft999-droid/mattpocock-skills --skill caveman-amazingloft999-droid
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: caveman
Source: https://github.com/amazingloft999-droid/mattpocock-skills/tree/main/skills/productivity/caveman
Command: npx skills add https://github.com/amazingloft999-droid/mattpocock-skills --skill caveman-amazingloft999-droid

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Ultra-brief communication mode that drops filler, articles, and pleasantries while preserving technical accuracy.

Core Features & Use Cases

  • Ultra-compact responses that stay technically precise.
  • Reduces token usage in fast-paced engineering discussions.
  • Useful in code reviews, debugging, and architectural conversations.

Quick Start

Enable caveman mode by saying activate caveman, then respond tersely with precise technical content.

Frequently Asked Questions about caveman

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

FAQPage Schema
How do I get concise technical responses for engineering chats?▼

To get concise technical responses for engineering chats, enable a brevity mode that compresses verbose prompts into accurate outputs. This drops filler and pleasantries while preserving technical precision for fast-paced engineering discussions.

What is token-efficiency in code reviews and debugging conversations?▼

Token-efficiency in code reviews and debugging conversations is the practice of reducing token usage by dropping articles and filler. It produces ultra-compact, technically precise responses to maintain clarity without wasting context space.

Can I use ultra-brief communication for architectural design guidance?▼

Yes, you can use ultra-brief communication for architectural design guidance. It compresses verbose design prompts into terse, accurate outputs, ensuring technical accuracy while stripping away pleasantries and unnecessary filler.

How do I reduce token usage in fast-paced engineering discussions?▼

To reduce token usage in fast-paced engineering discussions, activate a mode that drops filler words and articles. This approach compresses verbose technical prompts into concise, accurate responses to optimize token consumption.

Does brevity mode preserve technical accuracy during code explanations?▼

Yes, brevity mode preserves technical accuracy during code explanations. It compresses verbose technical prompts into concise responses by dropping filler and pleasantries, ensuring the technical content stays precise.