Compress technical responses into caveman-style terse communication modes.
npx skills add https://github.com/echowaves/WiSaw.cdk --skill caveman-echowaves
Please help me install this Agent Skill. Skill: caveman Source: https://github.com/echowaves/WiSaw.cdk/tree/main/.agents/skills/caveman Command: npx skills add https://github.com/echowaves/WiSaw.cdk --skill caveman-echowaves
This Skill reduces LLM token usage and encourages ultra-terse technical answers by switching responses into a caveman-style communication mode.
Turn on caveman mode by telling the AI: Use caveman ultra mode for concise, technically accurate answers.
High-intent search queries and answers about installing and using this skill.
To reduce token usage during debugging guidance, enable caveman mode to compress LLM responses into ultra-terse, technically accurate answers without losing critical implementation details.
Caveman mode is a communication style that enforces terse writing rules to compress technical responses, ensuring brief and accurate explanations for scenarios like incident notes and debugging.
You switch intensity levels by issuing mandatory mode commands like lite, full, ultra, or wenyan variants, which adjust the compression depth of technical writing from tighter professional to extreme compression.
Yes, safety-critical incident notes are supported by temporarily disabling caveman behavior for irreversible or clarification-sensitive steps, ensuring controlled exceptions for clarity before resuming terse writing.
Yes, you can use caveman token compression without losing technical accuracy because the mode compresses wording while maintaining the precise technical details required for implementation guidance.
You should not use extreme token compression when a step involves irreversible actions or requires clarification, as the mode enforces controlled exceptions to temporarily disable terse writing for safety.
infantesromeroadrianCompress user queries by removing non-essential words while preserving technical details.
mattbutlerengineeringCompress technical communication by removing filler while preserving accuracy and code blocks exactly.
Miosa-osaCache and compress prompts to reduce token costs in LLM interactions.
aesthezelCondense technical communication into a caveman-like language style.
