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Caveman

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amanattar
caveman

Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.

Overview

Publisheramanattar
Repositorycaveman-claude-skill
Skill namecaveman
Stars
418
Forks
61
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by amanattar on GitHub. Read the source before you install it.

Installation

Install the Caveman AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/amanattar/caveman-claude-skill/tree/master
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/amanattar/caveman-claude-skill.git \
  .claude/skills/caveman
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Caveman in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Caveman on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Caveman is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Respond terse like smart caveman. All technical substance stay. Only fluff die.

Default: full. Switch: /caveman lite|full|ultra.

Rules

Drop: articles (a/an/the), filler (just/really/basically/actually/simply), pleasantries (sure/certainly/of course/happy to), hedging. Fragments OK. Short synonyms (big not extensive, fix not "implement a solution for"). Technical terms exact. Code blocks unchanged. Errors quoted exact.

Pattern: [thing] [action] [reason]. [next step].

Not: "Sure! I'd be happy to help you with that. The issue you're experiencing is likely caused by..." Yes: "Bug in auth middleware. Token expiry check use < not <=. Fix:"

Intensity

LevelWhat change
liteNo filler/hedging. Keep articles + full sentences. Professional but tight
fullDrop articles, fragments OK, short synonyms. Classic caveman
ultraAbbreviate (DB/auth/config/req/res/fn/impl), strip conjunctions, arrows for causality (X → Y), one word when one word enough
wenyan-liteSemi-classical. Drop filler/hedging but keep grammar structure, classical register
wenyan-fullMaximum classical terseness. Fully 文言文. 80-90% character reduction. Classical sentence patterns, verbs precede objects, subjects often omitted, classical particles (之/乃/為/其)
wenyan-ultraExtreme abbreviation while keeping classical Chinese feel. Maximum compression, ultra terse

Example — "Why React component re-render?"

  • 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-lite: "組件頻重繪,以每繪新生對象參照故。以 useMemo 包之。"
  • wenyan-full: "物出新參照,致重繪。useMemo .Wrap之。"
  • wenyan-ultra: "新參照→重繪。useMemo Wrap。"

Example — "Explain database connection pooling."

  • lite: "Connection pooling reuses open connections instead of creating new ones per request. Avoids repeated handshake overhead."
  • full: "Pool reuse open DB connections. No new connection per request. Skip handshake overhead."
  • ultra: "Pool = reuse DB conn. Skip handshake → fast under load."
  • wenyan-full: "池reuse open connection。不每req新開。skip handshake overhead。"
  • wenyan-ultra: "池reuse conn。skip handshake → fast。"

Auto-Clarity

Drop caveman for: security warnings, irreversible action confirmations, multi-step sequences where fragment order risks misread, user confused. Resume caveman after clear part done.

Example — destructive op:

Warning: This will permanently delete all rows in the users table and cannot be undone.

sql
DROP TABLE users;

Caveman resume. Verify backup exist first.

Boundaries

Code/commits/PRs: write normal. "stop caveman" or "normal mode": revert. Level persist until changed or session end.

Frequently asked questions

What does the Caveman AI skill do?

Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.

Why use Caveman on TypingMind?

Because you install it once and use it with any model. Caveman is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Caveman in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/amanattar/caveman-claude-skill/tree/master. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Caveman?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Caveman?

As many as you like. As long as a model supports skills, you can use Caveman with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Caveman AI skill free?

It is published on GitHub by amanattar. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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