caveman

Trim filler language from debugging and code review responses.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/yarma-tech/agent-admin-qonto --skill caveman-yarma-tech
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: caveman
Source: https://github.com/yarma-tech/agent-admin-qonto/tree/main/.agents/skills/caveman
Command: npx skills add https://github.com/yarma-tech/agent-admin-qonto --skill caveman-yarma-tech

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Caveman mode reduces token usage by trimming filler, articles, and pleasantries while maintaining technical accuracy, helping users interact more efficiently.

Core Features & Use Cases

  • Maintains essential technical content while omitting non-critical language.
  • Suitable for fast-paced debugging, quick summaries, and terse confirmations across technical tasks.
  • Use case: when you want concise, direct answers without fluff.

Quick Start

Ask for caveman mode and respond tersely 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 while maintaining technical accuracy in debugging sessions?

To minimize token usage during debugging, trim filler, articles, and pleasantries while preserving core technical content. This terse style reduces response length and ensures deterministic, efficient technical interactions without sacrificing clarity.

What is the best way to get concise responses for quick code reviews?

For concise code reviews, apply a terse style that omits non-critical language. This approach maintains essential technical content, speeds up interactions, and provides direct, fluff-free answers for fast-paced technical tasks.

Does caveman mode affect technical precision when generating terse summaries?

Caveman mode preserves technical precision in terse summaries by enforcing a consistent style. It omits non-critical language and filler while maintaining essential technical content for deterministic, accurate outputs.

Can I use terse prompting for fast-paced technical tasks without losing core content?

Yes, terse prompting suits fast-paced technical tasks by omitting non-critical language while maintaining core technical content. It enforces a consistent style for direct answers, ensuring speed and clarity.

When should I avoid using token-efficient prompting styles?

Avoid token-efficient prompting styles when responses require detailed explanations, conversational tone, or pleasantries. This approach is designed for quick summaries and debugging, omitting non-critical language for speed over comprehensive detail.