skills.rest
g-lok
g-lokCOMMUNITY
Explore all skills by this author →
GitHub

caveman-think

Enforce caveman-style thinking with configurable intensity for concise AI outputs.

1|Updated Feb 13, 2018
Search Tags:#prompt-design#ai-safety#concise-output#internal-dialogue#caveman-thinking#intensity-level
One-click install
npx skills add https://github.com/g-lok/gs-dotfiles --skill caveman-think
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: caveman-think
Source: https://github.com/g-lok/gs-dotfiles/tree/main/install.d/dotfiles/ai_skills/.agents/skills/caveman-think
Command: npx skills add https://github.com/g-lok/gs-dotfiles --skill caveman-think

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Eliminates verbose reasoning by enforcing caveman-style thinking in AI outputs, delivering concise, no-nonsense results.

Core Features & Use Cases

  • Enforces ultra-brief internal dialogue with explicit intensity settings.
  • Produces deterministic, minimal-output responses suitable for quick decision making and instruction execution.
  • Helps maintain focus on essential conclusions in complex prompts by trimming filler and hedging.

Quick Start

Configure the agent to adopt caveman-think mode and request ultra-brief internal dialogue with the current level set to full.

Frequently Asked Questions about caveman-think

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

FAQPage Schema
How do I get concise AI outputs instead of verbose reasoning?▼

You can eliminate verbose reasoning and get concise AI outputs by enforcing caveman-style thinking, which trims filler and hedging to deliver fast, deterministic conclusions for quick decision making.

What is caveman-style thinking in prompt design?▼

Caveman-style thinking in prompt design is a constraint mechanism that enforces ultra-brief internal dialogue, stripping away complex reasoning steps to maintain focus on essential conclusions and produce minimal-output responses.

How do I configure intensity levels for AI internal dialogue?▼

You configure intensity levels by setting the agent to caveman-think mode and explicitly requesting ultra-brief internal dialogue with the current level set to full, enforcing strict cognitive rules on all responses.

Does enforcing strict cognitive rules work for complex prompt analysis?▼

Yes, enforcing strict cognitive rules works for complex prompt analysis by trimming filler and hedging, which helps maintain focus on essential conclusions during planning, analysis, and instruction execution.

When should I not use ultra-fast deterministic AI outputs?▼

You should avoid ultra-fast deterministic AI outputs when your task requires detailed reasoning, comprehensive explanations, or nuanced hedging, as this approach enforces non-verbosity and strict minimal-output constraints.

Related Skills

Explore More Software Engineering Skills→
slowman2084slowman2084
6

meta-ideal-state

Generate structured ideal_state.md documents defining Agent goals, intents, safety rules, and output templates.

Community
Advanced
Apostolos-DelisApostolos-Delis
1

plan-ceo

Analyzes product plans and recommends whether to expand, keep, or reduce scope.

Community
Intermediate
jshsakurajshsakura
22

prompt-engineer

Refine prompts to enforce task boundaries, output contracts, and safety constraints.

Community
Advanced
saeed-vayghansaeed-vayghan
30

prompt-engineer

Design, evaluate, and manage prompt architectures for large language models.

Community
Advanced