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caveman

Compress responses by removing articles and fillers to reduce token usage.

1|1|Updated Apr 18, 2026
Search Tags:#code review#communication#token efficiency#response optimization#technical clarity
One-click install
npx skills add https://github.com/OpalBolt/Personal-AI-Marketplace --skill caveman-opalbolt
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: caveman
Source: https://github.com/OpalBolt/Personal-AI-Marketplace/tree/main/plugins/productivity/skills/caveman
Command: npx skills add https://github.com/OpalBolt/Personal-AI-Marketplace --skill caveman-opalbolt

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill streamlines communication by significantly reducing token usage, removing unnecessary words while maintaining technical accuracy, ideal for concise responses.

Core Features & Use Cases

  • Token Efficiency: Cuts down on token usage by 75% by dropping fillers and pleasantries.
  • Technical Accuracy: Preserves all technical details and code blocks.
  • Use Case: When seeking a direct and concise response to technical queries.

Quick Start

Use the 'caveman' skill for a quick, efficient response to "Why is my component not rendering?"

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 in API responses for technical queries?▼

Token efficiency is achieved by dropping articles, fillers, and pleasantries from responses. This ultra-compressed communication mode reduces token usage by 75% while preserving all technical details and code blocks.

What is the best way to optimize code review communication in constrained token environments?▼

Optimizing code review communication requires direct technical clarity. By stripping unnecessary words and pleasantries, this approach saves tokens and ensures responses focus strictly on technical details and error specifics.

Does compressing response text affect code blocks and technical accuracy?▼

Compressing response text does not affect code blocks or technical accuracy. The process strictly targets unnecessary articles and pleasantries, ensuring all technical details and code blocks are fully preserved during token reduction.

When do I need to use ultra-compressed communication for software engineering queries?▼

You need ultra-compressed communication when working in constrained token environments. It is ideal for direct technical queries where you need efficient, concise responses without wasting tokens on conversational fillers.

Are there limitations to stripping articles and fillers for technical clarity?▼

The main limitation of stripping articles and fillers is that responses may read less naturally. However, it ensures maximum token efficiency and direct technical clarity, making it suitable primarily for technical queries rather than conversational interactions.

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