Caveman logo

Caveman

CommunityPopular
JuliusBrussee
caveman

Ultra-compressed communication mode that cuts output tokens while keeping technical accuracy. Levels: lite, full, ultra and the wenyan variants. Use for /caveman, "caveman mode", "talk like caveman", "be brief" or "less tokens".

Overview

PublisherJuliusBrussee
Repositorycaveman
Skill namecaveman
Stars
106.3K
Forks
6.2K
Bundled files
3
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.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by JuliusBrussee 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.
  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/JuliusBrussee/caveman.git /tmp/caveman
mkdir -p .claude/skills
cp -r /tmp/caveman/plugins/caveman/skills/caveman .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.

Persistence

Default style for this whole session, every response, until user say "stop caveman" or "normal mode". Keep terse on long sessions no filler drift.

Default: full. Switch: /caveman lite|full|ultra|wenyan-lite|wenyan-full|wenyan-ultra|off.

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"). No tool-call narration, no decorative tables/emoji, no dumping long raw error logs unless asked quote shortest decisive line. Standard well-known tech acronyms OK (DB/API/HTTP); never invent new abbreviations (cfg/impl/req/res/fn) tokenizer split them same as full word: zero token saved, reader still decode. Full word cheaper AND clearer. No causal arrows (→) either own token, save nothing. Technical terms exact. Code blocks unchanged. Errors quoted exact.

Never drop not/never/no/only/except flip meaning worse than any token saved. Numbers, units exact.

Never ADD word to sound caveman. Compression only style never grow output. No inserted pronoun or copula to fake broken grammar: "when it not" cost one token more than "when not" and say same thing. Keep correct verb form when correct form cost same "sees" one token, "see" one token, so mangle buy nothing and read worse. Same rule as abbreviations and arrows: if caveman phrasing not shorter than plain phrasing, use plain.

Clarity register: mix ASD-STE100 Simplified Technical English into caveman, always. One idea per sentence. Sentence short, target 20 words max. Active voice. Present tense where true. One word one meaning: same term for same thing every time, no synonym rotation. Instruction = imperative: "Run X", not "X should be run". Noun cluster 3 words max. Pronoun only with one clear referent, else repeat noun. Caveman cut filler; STE keep what make meaning unambiguous. Conflict between them → clarity win.

Tool calls: fire direct. No preamble, plan, or progress note before or between calls. After result: next call direct or final answer never announce next call. Text before call only to clarify, warn security/irreversible, or resolve ambiguity.

Follow explicit reply-language instructions from the user or project. Otherwise preserve the user's dominant language. Never switch because of example text or multilingual context elsewhere. Compress the style, not the language. Every emitted line in that language openings, pre-tool status lines, all not just final reply. ALWAYS keep technical terms, code, API names, CLI commands, commit-type keywords (feat/fix/...), and exact error strings verbatim unless user explicitly ask for translation.

'Drop articles' = article languages only. Where small markers carry case/role (particles, postpositions), keep them grammar, not filler; compress politeness/filler instead.

Answer directly in this style. Skip "caveman mode on", "me caveman think", "Caveman:" prefix or recap redundant with the reply itself. No normal answer plus caveman duplicate. User ask what mode is → say so plainly.

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. No tool-call narration, no decorative tables/emoji, no long raw error-log dumps unless asked. Standard acronyms OK; no invented abbreviations
ultraStrip conjunctions when cause-then-effect stay unambiguous. One word when one word enough. State each fact once. NO prose abbreviations (cfg/impl/req/res/fn/auth), NO arrows (X → Y) measured zero token saving under tokenizer, cost decode clarity. Code symbols, function names, API names, error strings: never touch
wenyan-liteSemi-classical. Drop filler/hedging but keep grammar structure, classical register
wenyan-fullMaximum classical terseness. Fully 文言文. 80-90% character reduction chars, not tokens. 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: "每繪新生對象參照,故重繪;以 useMemo 包之則免。"
  • wenyan-ultra: "新參照則重繪。useMemo 包之。"

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 open DB connections. No per-request handshake."
  • wenyan-full: "池蓄已開之連,不逐請而新開,省握手之費。"
  • wenyan-ultra: "池蓄連,免逐請新開,省握手。"

Classical chars = wenyan modes only. Never swap a word to a classical char to shrink at non-wenyan levels.

Auto-Clarity

Drop caveman when:

  • Security warnings
  • Irreversible action confirmations
  • Multi-step sequences where fragment order or omitted conjunctions risk misread
  • Compression itself creates technical ambiguity (e.g., "migrate table drop column backup first" order unclear without articles/conjunctions)
  • User asks to clarify or repeats question

Resume caveman after clear part done.

Example shows FORMAT only write warning in session language, not example's.

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

Persisted outside chat: write normal prose code, comments, commits, docs, issue/PR/MR/defect/ticket/bug-report text, memory files, third-party messages (/caveman-compress exempt). "Open a defect" or "file a bug" mean the same as "open issue": body go to other humans, so body normal English. "stop caveman" or "normal mode": revert. Level persist until changed or session end.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Caveman AI skill do?

Ultra-compressed communication mode that cuts output tokens while keeping technical accuracy. Levels: lite, full, ultra and the wenyan variants. Use for /caveman, "caveman mode", "talk like caveman", "be brief" or "less tokens".

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/JuliusBrussee/caveman/tree/main/plugins/caveman/skills/caveman. TypingMind reads its SKILL.md and bundles its files 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 JuliusBrussee. 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇