amanattar/caveman-claude-skill

Registry 信息

项目简介

Caveman Claude Skill 是一个 GitHub 仓库，为 Claude AI 提供幽默的原始人风格互动层。它将 Claude 的回答转化为类似穴居人的语言，使对话变得有趣且引人入胜。该技能专为娱乐和创意用途设计。

要点

• 将 Claude 的回答转化为穴居人方言
• 轻量级且易于集成
• 有趣、以娱乐为中心的互动
• 开源且由社区驱动

使用场景

• 为 AI 对话增添幽默感
• 创意写作和故事讲述
• 语言转换的教育演示
• 聊天机器人或游戏中的娱乐

README 摘要

# caveman skill Ultra-compressed communication mode for Claude. Cuts token usage ~75% by dropping linguistic fluff while preserving full technical accuracy. --- ## What It Does Switches Claude's response style to terse, caveman-like communication. Articles gone. Filler gone. Hedging gone. Technical substance stays intact. Code blocks and error messages always quoted exactly. --- ## Trigger Phrases - `caveman mode` - `talk like caveman` - `use caveman` - `less tokens` - `be brief` - `/caveman` --- ## Intensity Levels Switch anytime with `/caveman <level>`. Default is **full**. | Level | Style | |-------|-------| | `lite` | No filler or hedging. Articles and full sentences kept. Professional but tight. | | `full` | Drop articles. Fragments OK. Short synonyms. Classic caveman. | | `ultra` | Abbreviate everything (DB/auth/fn/req/res). Arrows for causality. One word when one word enough. | | `wenyan-lite` | Semi-classical Chinese. Drop filler, keep grammar structure. | | `wenyan-full` | Full 文言文. ~80-90% character reduction. Classical particles and patterns. | | `wenyan-ultra` | Maximum classical Chinese compression. Extreme terseness. | --- ## Quick Example **Prompt:** "Why does my React component re-render?" | Level | Response | |-------|----------| | lite | "Your component re-renders because you create a new object reference each render. Wrap it in `useMemo`." | | full | "New object ref each render. Inline object prop = new ref = re-render. Wrap in `useMemo`." | | ultra | "Inline obj prop → new ref → re-render. `useMemo`." | | wenyan-full | "物出新參照，致重繪。`useMemo`包之。" | --- ## Auto-Clarity Exceptions Caveman mode pauses automatically for: - Security warnings - Irreversible or destructive action confirmations - Multi-step sequences where fragment order risk

话题

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