Compress AI responses by removing filler words while preserving technical terms.
npx skills add https://github.com/phillip-hirsch/dotfiles --skill caveman-phillip-hirsch
Please help me install this Agent Skill. Skill: caveman Source: https://github.com/phillip-hirsch/dotfiles/tree/main/.agents/skills/caveman Command: npx skills add https://github.com/phillip-hirsch/dotfiles --skill caveman-phillip-hirsch
The caveman Skill solves the problem of excessive and unnecessary communication, allowing users to maintain technical accuracy while significantly reducing the number of tokens used.
Enable caveman mode by saying "caveman mode" or "use caveman".
High-intent search queries and answers about installing and using this skill.
Token compression in AI responses drops filler words and articles to reduce token usage while keeping technical terms and code blocks intact. This ultra-compressed mode provides concise, to-the-point technical answers without losing essential data.
Yes, an auto-clarity exception temporarily exits compressed response mode for security warnings, irreversible actions, and multi-step sequences. This prevents misinterpretation of critical instructions while maintaining token compression for standard technical queries.
The best way to structure compressed technical responses uses a specific pattern covering the thing, action, reason, and next step. This pattern ensures all necessary technical information remains present while unnecessary words are removed.
No, compressing communication tokens does not affect code blocks in technical responses. Token compression targets unnecessary filler words and articles, ensuring that technical accuracy, code blocks, and specific technical terms remain completely unchanged.
You should not use compressed communication mode for multi-step sequences, irreversible actions, or security warnings. The auto-clarity exception temporarily disables compression in these scenarios to avoid misinterpretation of critical or complex instructions.
You enable caveman mode for token compression by saying "caveman mode" or "use caveman". This activates the ultra-compressed communication mode, dropping unnecessary words to reduce token usage while retaining technical accuracy.
hubvueMinify verbose prompts into semantically equivalent high-density instructions for AI models.
Soham407Enforce ultra-compressed technical responses using an action-reason-next-step pattern.
AvihusittonCompress AI responses to reduce token consumption while preserving technical accuracy.
sabyunrepoCompresses text by reducing token count through multiple optimization techniques.
