Compress conversational AI responses into caveman style with configurable intensity levels.
npx skills add https://github.com/NihaalManaf/LDR-Island --skill caveman-nihaalmanaf
Please help me install this Agent Skill. Skill: caveman Source: https://github.com/NihaalManaf/LDR-Island/tree/main/.agents/skills/caveman Command: npx skills add https://github.com/NihaalManaf/LDR-Island --skill caveman-nihaalmanaf
Ultra-compressed communication mode reduces token usage by enforcing caveman-style responses while preserving full technical accuracy.
Enable caveman mode for subsequent responses to shorten output while preserving technical accuracy.
High-intent search queries and answers about installing and using this skill.
To reduce token usage without losing technical accuracy, enable a caveman-style communication mode that drops filler words and articles while preserving essential technical content. This ultra-compressed approach ensures brevity for rapid iteration and strict token budgets.
Available intensity levels for concise communication include lite, full (default), ultra, wenyan-lite, wenyan-full, and wenyan-ultra. These modes enforce varying degrees of brevity while maintaining a persistent active mode to keep caveman rules applied across multiple conversational turns.
Use ultra-compressed responses for AI tasks requiring strict token budgets, rapid iteration, or concise communication. This approach removes conversational fluff and drops articles, keeping only precise technical content needed for efficient processing and reduced latency.
Yes, caveman mode maintains technical accuracy across multiple conversational turns by using a persistent active mode. This enforces caveman-style rules continuously, dropping filler and articles while ensuring precise technical content is preserved throughout the entire interaction.
The difference between lite and ultra intensity levels lies in compression strictness. Lite provides moderate filler removal, while ultra enforces maximum brevity by aggressively dropping articles and filler, resulting in highly concise technical communication suitable for extreme token limits.
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