Compress AI responses into caveman-style prose while preserving code and error text.
npx skills add https://github.com/ebarroso12/personal-skills --skill caveman-ebarroso12
Please help me install this Agent Skill. Skill: caveman Source: https://github.com/ebarroso12/personal-skills/tree/main/caveman Command: npx skills add https://github.com/ebarroso12/personal-skills --skill caveman-ebarroso12
Reduces the verbosity and token usage of AI responses while preserving technical accuracy, so conversations stay efficient without losing critical details like code blocks, error strings, and exact symbols.
Ask your AI to respond in caveman mode by saying: /caveman ultra.
High-intent search queries and answers about installing and using this skill.
To reduce AI response token usage without losing technical accuracy, use a compression Skill that drops filler and hedging while keeping code blocks, error strings, and exact symbols unchanged.
Switch AI response compression intensity levels by issuing a command like /caveman ultra, allowing you to toggle between lite, full, ultra, and classical Chinese Wenyan registers for different needs.
Yes, response compression automatically switches back to normal prose for security warnings, irreversible confirmations, ambiguity-prone multi-step sequences, and when the user asks to clarify.
The best way to compress AI chat outputs for token efficiency is applying a caveman-style prose mode that strips articles and pleasantries while preserving exact structured details and technical substance.
You should not use caveman-style response compression when handling security warnings, irreversible actions, or ambiguous multi-step sequences, as the Skill auto-reverts to normal prose to ensure clarity.
kartikkabadiCondense verbose AI responses into terse, technically precise fragments.
mifunedevEstimate token savings by comparing baseline prose to compressed forms.
Manvendra08Reduce token consumption and context overflow in LLM interactions.
junechen7414Compress assistant responses into terse, token-efficient prose while preserving technical accuracy.
