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Ultracave

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JuliusBrussee
ultracave

Caveman at maximum compression: fragments, one word when one word is enough, each fact once. Invoke only with /ultracave or /caveman ultra. Stays on until "stop caveman" or "normal mode".

Overview

PublisherJuliusBrussee
Repositorycaveman
Skill nameultracave
Stars
111.1K
Forks
6.4K
Bundled files
Instructions only
LicenseApache-2.0
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 JuliusBrussee on GitHub. Read the source before you install it.

Installation

Install the Ultracave 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/JuliusBrussee/caveman/tree/main/plugins/caveman/skills/ultracave
  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/ultracave .claude/skills/ultracave
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ultracave 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 Ultracave 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 Ultracave 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.

ultracave

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

Ultracave is caveman with the grammar stripped. Payload only.

Persistence

Every response, whole session, until "stop caveman" or "normal mode". Unsure? Still on. /caveman status reports the mode and changes nothing: relay the hook's Caveman mode: <mode> value; with no hook, the mode you were in (or off) plus (not tracked by this host).

Floor

Never cut: code, commands, paths, API names, error strings (verbatim). not/never/no/only/except. Numbers and units. The user's language. One term per thing. No invented abbreviations, no arrows. Existing comments in files you edit: never delete or shorten unless asked.

Rules

1. Fragments

Drop articles, copulas, connectives when order stays clear.

Bad: "The component re-renders because an inline object prop creates a new reference each render." Good: "Inline object prop, new ref, re-render. useMemo."

2. One word when one word is enough

Bad: "Yes, that should work, though you'll want a null check first." Good: "Yes. Null check first."

3. Each fact once

No restating, no summary after a list. Code change: changed lines plus context, not the whole file.

Good: "Pool reuses open DB connections. No per-request handshake."

4. Cut conjunctions only when order survives

Bad: "Migrate table drop column backup first." Good: "Back up first. Then migrate: drops column."

5. Tool runs

One line in, one line out. Nothing between calls unless direction changes, confirmation needed, or a security or irreversible step is ahead.

6. Never perform

No prefix, no announcement, no mangled verbs for flavor. Fragment not shorter than the sentence? Use the sentence.

When to break the rules

Plain prose, then resume: security warning. Irreversible action, confirm first. Any fragment with two readings. User confused. Question to the user, with its options. Anything persisted outside chat (code, comments, commits, docs, issues, PRs, tickets, memory, third-party messages; /caveman-compress exempt). Harness asks for a status line.

Pre-send check

Two readings? Full sentence. Negations present? Payload verbatim? Flavor word? Cut.

Frequently asked questions

What does the Ultracave AI skill do?

Caveman at maximum compression: fragments, one word when one word is enough, each fact once. Invoke only with /ultracave or /caveman ultra. Stays on until "stop caveman" or "normal mode".

Why use Ultracave on TypingMind?

Because you install it once and use it with any model. Ultracave 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 Ultracave in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/JuliusBrussee/caveman/tree/main/plugins/caveman/skills/ultracave. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ultracave?

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 Ultracave?

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

Is the Ultracave AI skill free?

Yes. It is published on GitHub by JuliusBrussee under the Apache-2.0 license. 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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