Compress language model output into caveman-style prose with six intensity levels.
npx skills add https://github.com/ngquaanghuy/Crypto --skill caveman-ngquaanghuy
Please help me install this Agent Skill. Skill: caveman Source: https://github.com/ngquaanghuy/Crypto/tree/main/.agents/skills/caveman Command: npx skills add https://github.com/ngquaanghuy/Crypto --skill caveman-ngquaanghuy
This Skill helps in compressing model responses into a caveman-style prose, reducing the output token count while preserving technical accuracy.
Start the caveman mode and get compressed responses.
High-intent search queries and answers about installing and using this skill.
Compress language model output by converting responses to caveman-style prose, dropping unnecessary words while preserving technical accuracy. This reduces token usage by 75% and is useful for quickly understanding the essence of a response.
Control text compression using six intensity levels, ranging from minimal to extreme. This allows you to adjust the brevity of model responses based on specific communication needs, such as technical support or documentation review.
Response compression auto-switches to normal prose for critical information, including security warnings and irreversible actions. This auto-clarity feature ensures that essential technical details remain clear and unambiguous.
Text compression preserves the user's dominant language to ensure consistent responses. This language preservation feature maintains communication continuity while applying the desired level of response reduction.
Caveman-style prose is a brief, stripped-down communication format that removes filler words while retaining technical details. It is needed when you want to quickly review documentation or technical support responses without overwhelming details.
Response reduction is limited by its auto-clarity feature, which overrides extreme compression for security warnings and irreversible actions. It should not be used when full, verbose documentation context is explicitly required.
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