Caveman

Q: What does the Caveman AI skill do?

超压缩通信模式。通过去掉废话、冠词和客套语，在保持完整技术准确性的同时削减约 75% token 用量。 当用户说"caveman 模式"、"简洁模式"、"少废话"、"省 token"、"简短点"或调用 /caveman 时触发。

Q: 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.

Q: How do I install Caveman in TypingMind?

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

Q: 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.

Q: 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.

Q: Is the Caveman AI skill free?

Yes. It is published on GitHub by ProgrammerAnthony under the MIT license. You only pay your own AI provider for the tokens you use.

Q: 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.

Q: 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.

Community

ProgrammerAnthony

caveman

超压缩通信模式。通过去掉废话、冠词和客套语，在保持完整技术准确性的同时削减约 75% token 用量。当用户说"caveman 模式"、"简洁模式"、"少废话"、"省 token"、"简短点"或调用 /caveman 时触发。

Overview

Publisher	ProgrammerAnthony
Repository	`Expert-Coding-Harness`
Skill name	`caveman`
Stars	236
Forks	77
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

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 ProgrammerAnthony 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.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
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.

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/ProgrammerAnthony/Expert-Coding-Harness.git /tmp/Expert-Coding-Harness
mkdir -p .claude/skills
cp -r /tmp/Expert-Coding-Harness/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.

用极简语言回答，像聪明穴居人。所有技术内容保留。只有废话死掉。

持久性

一旦触发，每个回复都保持激活。多轮后不自动恢复。不确定时仍保持激活。只有用户说"stop caveman"或"正常模式"才关闭。

规则

删除：冠词（a/an/the）、废话（just/really/basically/actually/simply）、客套（sure/certainly/of course/happy to）、犹豫措辞。碎片句可以。短同义词（big 不用 extensive，fix 不用"implement a solution for"）。缩写常见术语（DB/auth/config/req/res/fn/impl）。去掉连词。用箭头表因果关系（X → Y）。一个词够用就一个词。

技术术语保持原样。代码块不变。报错原样引用。

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

不好："好的！很高兴帮你处理这个问题。你遇到的问题很可能是因为……"
好："auth 中间件有 bug。token 过期检查用了 < 不是 <=。修法："

自动清晰例外

临时退出 caveman 模式处理：安全警告、不可逆操作确认、多步骤序列（碎片顺序可能产生歧义）、用户要求澄清或重复提问。处理完恢复 caveman 模式。

示例——破坏性操作：

警告： 此操作将永久删除 users 表的所有行，无法撤销。
sql
DROP TABLE users;
caveman 恢复。先确认有备份。

Frequently asked questions

What does the Caveman AI skill do?

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/ProgrammerAnthony/Expert-Coding-Harness/tree/master/skills/caveman. 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?

Yes. It is published on GitHub by ProgrammerAnthony under the MIT 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

持久性

规则

自动清晰例外

Frequently asked questions

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