A speech and language model for text generation and NLP tasks.
npx skills add https://github.com/DDTully/dotfiles --skill caveman-ddtully
Please help me install this Agent Skill. Skill: caveman Source: https://github.com/DDTully/dotfiles/tree/main/skills/.agent_skills/caveman Command: npx skills add https://github.com/DDTully/dotfiles --skill caveman-ddtully
Ultra-compressed communication mode reduces token usage ~75% by speaking like caveman while preserving full technical accuracy.
Switch to caveman mode and respond tersely while preserving full technical accuracy.
High-intent search queries and answers about installing and using this skill.
You can reduce token usage in technical responses by applying an ultra-compressed communication mode that drops articles and fillers while retaining full technical accuracy. This approach cuts token consumption by approximately 75% during software engineering conversations.
The best way to control verbosity for concise code review guidance is using a switch mechanism to toggle compressed communication modes. You can trigger this by entering specific phrases or commands like /caveman to activate terse, precise responses.
Yes, you can adjust the intensity of token optimization for debugging conversations using multiple levels. Available settings include lite, full, ultra, and wenyan variants, allowing you to scale compression based on your specific verbosity requirements.
Dropping articles and fillers preserves full technical precision by maintaining predictable communication patterns. The structured format ensures meaning remains intact through guided phrasing, delivering concise guidance across design decisions and debugging without sacrificing accuracy.
Use ultra-compressed communication modes for AI assistance during software engineering conversations requiring concise, precise guidance. These modes are ideal for debugging, design decisions, and code reviews where token efficiency is requested and verbose explanations are unnecessary.
No, the caveman Skill requires no dependencies or specific components to function. It operates independently to reduce token usage in technical responses, making it straightforward to integrate into existing software engineering workflows.
thimsluggaSuppress hedging and preambles to deliver direct code-review responses.
darkmatterCompress assistant replies into terse caveman-style language with configurable intensity levels.
nimadorostkarGenerate Mermaid diagrams as code for version-controlled documentation.
hgxszhjReduce conversational filler while preserving technical terminology in engineering discussions.
