Reduce token usage with concise, technically accurate responses.
npx skills add https://github.com/priyansh19/CrewSpace --skill caveman-priyansh19
Please help me install this Agent Skill. Skill: caveman Source: https://github.com/priyansh19/CrewSpace/tree/main/.claude/skills/caveman Command: npx skills add https://github.com/priyansh19/CrewSpace --skill caveman-priyansh19
Ultra-compressed communication mode reduces token usage by speaking like caveman while maintaining full technical accuracy, with intensity levels to suit different scenarios.
Enable caveman mode by saying caveman mode or using /caveman with a level, and receive terser, precise responses.
High-intent search queries and answers about installing and using this skill.
You can reduce token usage by enabling a concise output mode that compresses responses while preserving technical accuracy for coding, debugging, and documentation tasks. This ensures efficiency without losing necessary details.
You can switch verbosity levels by using the /caveman command followed by an intensity level. Supported levels include lite, full, ultra, and wenyan variants, allowing you to adjust output compression on the fly.
Use ultra-compressed communication modes when you need maximum token efficiency during coding, debugging, or documentation tasks. These modes deliver terse, precise responses to keep conversations concise and relevant without sacrificing accuracy.
Yes, concise AI output mode supports multiple intensity levels including lite, full, ultra, and wenyan configurations. This allows you to tailor the verbosity control to suit different technical scenarios and efficiency requirements.
The best way to ensure token savings do not compromise accuracy is to use a mode that reduces verbosity while explicitly maintaining full technical accuracy. Safe switching via commands ensures outputs remain useful for code reviews.
Brevity modes can sometimes strip context if not properly configured. Using a structured verbosity control with defined intensity levels ensures responses remain technically accurate and useful while still achieving token savings.
codenamevConfigure pragmatic mode with intensity levels, triggers, exemptions, and deferrals.
phillip-hirschCompress AI responses by removing filler words while preserving technical terms.
irahardiantoCompress verbose AI responses while preserving technical accuracy and code fidelity.
mmartinsolivCompress AI responses into terse caveman-style language while preserving technical accuracy.
