Compress AI responses by removing non-essential linguistic fluff.
npx skills add https://github.com/Manvendra08/TradingBot --skill caveman-manvendra08
Please help me install this Agent Skill. Skill: caveman Source: https://github.com/Manvendra08/TradingBot/tree/main/_agent/skills/caveman Command: npx skills add https://github.com/Manvendra08/TradingBot --skill caveman-manvendra08
This Skill eliminates the problem of excessive token consumption in AI responses by removing all non-essential fluff, filler words, and pleasantries while retaining 100% of technical accuracy and critical information, making responses far more efficient for technical workflows.
Request caveman mode activation when you need concise, technically accurate responses for debugging, code reviews, or quick technical queries to cut token usage by up to 75%.
High-intent search queries and answers about installing and using this skill.
Response compression eliminates linguistic fluff and filler while preserving technical terminology and code blocks, reducing AI token consumption by approximately 75% for debugging and technical Q&A workflows without sacrificing accuracy.
Caveman mode is a response compression technique that removes non-essential pleasantries and fluff from technical communication. It retains 100% of technical accuracy and critical information while cutting token usage by 75% across six configurable intensity levels.
Configure response compression by selecting from six intensity levels: lite, full, ultra, wenyan-lite, wenyan-full, and wenyan-ultra. These range from professional tight phrasing to extreme classical Chinese compression, matching your specific token efficiency needs.
Response compression automatically disables itself for security warnings, irreversible action confirmations, and multi-step sequences to prevent misreads. It resumes normal compressed output only after the critical safety section is complete.
Yes, you can auto-trigger token efficiency mode by explicitly requesting it, saying "caveman mode", or using the /caveman command. No manual setup is required to start receiving concise, technically accurate responses for code reviews and debugging.
Avoid extreme classical Chinese compression (wenyan-ultra) for multi-step sequences where fragment order could cause misread, or when communicating irreversible action confirmations. Use lower intensity levels for these safety-critical technical Q&A scenarios.
monlorCompress natural language in markdown files while preserving code blocks and URLs.
EwallywGuide structured four-phase debugging to identify and fix software bug root causes.
Chris-MaskeyCompress verbose AI responses into terse technical summaries with configurable intensity modes.
alunadevApply production-tested prompt engineering patterns to system prompts and AI pipelines.
