Compress AI model responses into ultra-terse prose to minimize token usage.
npx skills add https://github.com/sqmasep/ecv-vinted --skill caveman-sqmasep
Please help me install this Agent Skill. Skill: caveman Source: https://github.com/sqmasep/ecv-vinted/tree/main/.claude/skills/caveman Command: npx skills add https://github.com/sqmasep/ecv-vinted --skill caveman-sqmasep
This skill addresses high token consumption by stripping away filler, pleasantries, and redundant prose while maintaining full technical accuracy and code integrity.
Activate the caveman skill by typing /caveman in the chat to immediately begin receiving ultra-compressed responses.
High-intent search queries and answers about installing and using this skill.
To reduce token usage during technical debugging, you can compress AI responses into ultra-terse prose. This strips away filler and redundant text while preserving code blocks, API names, and error strings verbatim, cutting output length by 65-75%.
The best way to compress AI model responses for token efficiency is applying intensity-based compression rules. This approach removes pleasantries and redundant prose across six intensity levels, ensuring technical logic and code integrity remain completely untouched.
Ultra-compressed communication is not recommended for security-sensitive operations without precautions. The system features automatic clarity fallbacks specifically designed to prevent critical security details from being obscured during extreme text compression.
To activate ultra-terse prose compression for documentation tasks, trigger the command interface in your chat. This immediately initiates the compression rules, allowing you to receive heavily truncated responses tailored for technical brevity.
You can adjust token compression intensity across six distinct levels. These range from professional-tight compression for standard technical communication to extreme classical Chinese compression for maximum token reduction.
Your AI output retains full code blocks during text compression because technical preservation is strictly enforced. Code blocks, error strings, and API names remain untouched and verbatim to maintain debugging and system error resolution capabilities.
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