Two Layer Explain

Q: What does the Two Layer Explain AI skill do?

双层解释法提示语原文。用户遇到听不懂的概念、名词、报错、技术栈，想要一次讲透时使用。触发词包括 双层解释、小白版、专业版、通俗讲一遍、把我当小白、这个概念是什么意思、讲讲什么是、贴着代码或文档问、这个报错什么意思、马上就要用。产出小白解释加专业解释，附术语对照表和自测题。

Community

LearnPrompt

two-layer-explain

双层解释法提示语原文。用户遇到听不懂的概念、名词、报错、技术栈，想要一次讲透时使用。触发词包括双层解释、小白版、专业版、通俗讲一遍、把我当小白、这个概念是什么意思、讲讲什么是、贴着代码或文档问、这个报错什么意思、马上就要用。产出小白解释加专业解释，附术语对照表和自测题。

Overview

Publisher	LearnPrompt
Repository	`laoyeye`
Skill name	`two-layer-explain`
Stars	95
Forks	20
Bundled files	1
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.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by LearnPrompt on GitHub. Read the source before you install it.

Installation

Install the Two Layer Explain 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.
https://github.com/LearnPrompt/laoyeye/tree/main/skills/learning/two-layer-explain
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/LearnPrompt/laoyeye.git /tmp/laoyeye
mkdir -p .claude/skills
cp -r /tmp/laoyeye/skills/learning/two-layer-explain .claude/skills/two-layer-explain

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Two Layer Explain 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 Two Layer Explain 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 Two Layer Explain 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.

双层解释法

只要求讲得通俗，很容易停在类比记住了、机制还是一团雾的阶段。

这一条让它分小白和专家两层各解释一遍，再补上术语对照、易错点和三道自测题。

怎么用

下面代码块里的提示语是原文，逐字使用。代码块里的「我」指用户，「请你」「你」指你自己，照它做事，不要把填好的提示语打给用户看。

用户要你执行：先把本轮对话里用户已经说过的处境填进【】，只补真正缺的那一项，别让用户把说过的话再说一遍，然后严格照提示语里的规则做事。它说先别给建议就先别给，说一次只问一个问题就一次只问一个，说按顺序输出就按那个顺序输出。
用户要原文（明确说要复制、要粘贴、发我原文、给我提示语这类话才算）：打空白版，【】保持不填，一个字不改。用户只是说「看看这条提示语」「这条是干嘛的」，不算要原文，用一两句说清它干什么、什么时候用，再问要不要现在跑，别直接倒原文。
除了明确要原文的情况，其余一律当执行处理。

禁止改写、精简、扩写、翻译、重排、加小标题，禁止把它替换成你自己的流程，也禁止把多轮追问压缩成一次性问卷。用户手上有原始材料（文档、截图、链接、聊天记录）就一并读进来，上下文多不是问题。

跑完接哪条

这次听懂就够了，到此为止。想真学成一门本事、跨多次会话留课件，让用户自己敲 /matt-teach。听懂了但记不住，用 Skill 工具唤起 parable。

markdown
我想学习的是：【填写概念或问题】。

请分两层解释：

第一层，小白版。
用生活化的语言和一个具体例子，让完全没有基础的人也能听懂。

第二层，专业版。
使用准确术语，讲清核心机制、适用边界和常见误解。

最后请整理出：
1. 列出小白说法与专业术语的对应关系；
2. 我最容易理解错的地方；
3. 3个用于检查我是否真正理解的问题。

用户要填的位置

【填写概念或问题】

用户没给全就先问缺的那一条，别自己替他编。

提示语原文来自数字生命卡兹克，出处见仓库 README 的致谢。改动这段原文要走 scripts/sync.py，手改会被 verify 拦下。

Bundled files

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

agents/openai.yaml1 KB

Frequently asked questions

What does the Two Layer Explain AI skill do?

Why use Two Layer Explain on TypingMind?

Because you install it once and use it with any model. Two Layer Explain 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 Two Layer Explain in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/LearnPrompt/laoyeye/tree/main/skills/learning/two-layer-explain. 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 Two Layer Explain?

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 Two Layer Explain?

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

Is the Two Layer Explain AI skill free?

It is published on GitHub by LearnPrompt. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

双层解释法

怎么用

跑完接哪条

用户要填的位置

Bundled files

Frequently asked questions

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