Compress AI responses by removing filler and hedging while preserving technical accuracy.
npx skills add https://github.com/jinyongp/dotfiles --skill caveman-jinyongp
Please help me install this Agent Skill. Skill: caveman Source: https://github.com/jinyongp/dotfiles/tree/main/agents/skills/caveman Command: npx skills add https://github.com/jinyongp/dotfiles --skill caveman-jinyongp
This Skill eliminates conversational filler, pleasantries, and excessive verbosity, allowing you to receive technical information in a highly compressed, efficient format.
Activate the caveman skill to force all subsequent AI responses into a terse and compressed format.
High-intent search queries and answers about installing and using this skill.
To get compressed AI responses, activate a terse output mode that removes pleasantries, hedging, and filler while preserving technical accuracy for debugging and rapid information retrieval. It forces strict exclusion of conversational padding.
AI output includes polite endings and hedging due to default conversational padding. Activating a terse compression skill removes this filler, ensuring only technical substance and exact code formatting are returned for debugging.
The best way to reduce token usage during rapid information retrieval is to enforce high-density communication patterns that remove filler. This compresses responses to technical substance, maximizing token efficiency without losing accuracy.
To format AI status updates as terse and high-density, apply a compression mode that strips conversational padding and simplifies explanations while maintaining exactness for code, commands, and errors. This ensures strict adherence to terse output.
Compressed AI output does not remove technical accuracy. It strips filler and simplifies surrounding explanations while maintaining exactness for code, commands, and errors, ensuring technical debugging processes preserve critical details.
You should not use terse AI communication when conversational context, detailed explanations, or polite formatting is required. It is strictly designed for debugging, status updates, and rapid retrieval where token efficiency is prioritized over comprehensive dialogue.
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