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caveman

Enforce concise, task-focused responses for Claude Kit workflow prompts.

47|2|Updated Feb 22, 2026
Search Tags:#workflow#verbosity#token-efficiency#caveman#ai-communication#concise-output
One-click install
npx skills add https://github.com/hex0xdeadbeef/claude-kit --skill caveman-hex0xdeadbeef
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: caveman
Source: https://github.com/hex0xdeadbeef/claude-kit/tree/main/.claude/skills/caveman
Command: npx skills add https://github.com/hex0xdeadbeef/claude-kit --skill caveman-hex0xdeadbeef

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Caveman provides a disciplined, low-verbosity response mode for interactions with the claude-kit workflow to minimize token usage while preserving technical content.

Core Features & Use Cases

  • Drop filler and hedging in responses; preserve essential technical detail.
  • Maintain complete sentences and accurate terminology in all outputs.
  • Use-case: When you need fast, concise guidance for code reviews or step-by-step workflow prompts.

Quick Start

Ask for concise, action-oriented responses suitable for workflow prompts.

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 AI workflow prompts without losing technical meaning?▼

To reduce token usage, drop filler and hedging while preserving essential technical detail. This concise, task-focused communication style enforces deterministic guidance and predictable formatting for efficient AI workflows.

What is concise output mode for AI communication and how does it work?▼

Concise output mode enforces a low-verbosity response style that maintains complete sentences and accurate terminology. It strips non-essential language to deliver fast, deterministic, and action-oriented outputs for workflow prompts.

Can I use a terse prompt style for code reviews and step-by-step guidance?▼

Yes, a terse prompt style works for code reviews and step-by-step guidance by providing fast, concise, action-oriented responses. It maintains accurate terminology while minimizing token consumption in workflow scripts.

Does token-efficient AI communication sacrifice technical accuracy for brevity?▼

Token-efficient AI communication does not sacrifice technical accuracy for brevity. It enforces deterministic guidance that preserves essential technical content and accurate terminology while safely eliminating destructive advice and verbose filler.

When should I avoid using low-verbosity settings for workflow prompts?▼

Avoid using low-verbosity settings for workflow prompts when a task requires extensive contextual explanations or nuanced hedging. Concise modes prioritize token efficiency and may strip detailed background needed for complex problem-solving.

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