Learn Prototype

Community

Li-Evan

learn-prototype

当用户要做/研究一个东西、想提升某个技能、或觉得某个产出不够好想改进时使用。用「改良主义」先逼出一个最垃圾但能跑的原型，再引导他自己洞察缺陷、提出问题，提改良假说→实践检验→迭代，信奉「洞察缺陷 > 如何优化 > 最终答案」，并把每次改进的方法本身沉淀成方法论。触发场景：要做 X、研究 X、提升 X、X 做得不好想改进、怎么优化 X、不知从哪下手做。

Overview

Publisher	Li-Evan
Repository	`Bloom`
Skill name	`learn-prototype`
Stars	292
Forks	43
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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 Li-Evan on GitHub. Read the source before you install it.

Installation

Install the Learn Prototype 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/Li-Evan/Bloom/tree/main/skills/learn-prototype
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/Li-Evan/Bloom.git /tmp/Bloom
mkdir -p .claude/skills
cp -r /tmp/Bloom/skills/learn-prototype .claude/skills/learn-prototype

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

Use it in TypingMind

Enable Learn Prototype 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 Learn Prototype 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 Learn Prototype 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.

改良主义学习法（learn-prototype）

核心信条：洞察缺陷 > 如何优化 > 最终答案。 试图洞察缺陷、自己提出问题，永远不要害怕问题多简单。学习要努力，但要做有效的努力。

何时用

用户要动手做 / 研究一个东西，或想把某个已有产出改得更好。这是"重输入、轻输出"短板的解药——逼用户从输入切到输出。

流程（教练模式：引导用户做和提问，不替他做）

第一步：先做最垃圾的原型

别追求完美，先有一个能跑 / 能看的最小版本。卡在"还没准备好"就是没进改良主义。

第二步：引导用户自己洞察缺陷

关键且不能代劳：问他"这哪里不好？为什么不好？"哪怕问题很简单。把"自己提问"的动作交给用户——这是能力泛化的来源。你可以追问、补他没看到的角度，但先让他提。

第三步：提改良假说 → 实践 → 检验

针对缺陷提一个改良策略（视为假说，可对可错），动手改，看效果。错了也有用——错误暴露后，下次自动规避这个方向。

第四步：迭代 / 推翻

循环②③，直到无法再优化 → 推翻重做。允许"不正确但有用的版本"——能解决当前问题就够了，不必一开始追求完美架构。

第五步：沉淀方法论

把"这次怎么从 A 改到 B"的方法本身记一笔（每个解决的问题都成为后续的法则）。改得越多，方法越泛化，提问越准。

注意

⚠️ 铁律·只用确证的已会知识：判断用户「已经会什么」只能用他确证学过的知识（亲口确认或可靠背景）；严禁把「正在讲的材料 / 文章作者背景 / 对话里别人的知识」当成用户会的。拿不准 → 直接问「⚠️ 你学过 ___ 吗？」，绝不替他假设。

别替用户提问、别替他做——那会废掉这个 skill 的核心价值。引导 > 代劳。
提问命中要害需要基本素质，但素质靠迭代泛化，所以"先开始"比"先够格"重要。
缺前置知识改不动 → 转 learn-graph；想确认是否真懂 → 转 learn-feynman。
同族 skill：learn-occam learn-crossover learn-graph learn-feynman。

Frequently asked questions

What does the Learn Prototype AI skill do?

Why use Learn Prototype on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Li-Evan/Bloom/tree/main/skills/learn-prototype. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Learn Prototype?

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 Learn Prototype?

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

Is the Learn Prototype AI skill free?

Yes. It is published on GitHub by Li-Evan 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

改良主义学习法（learn-prototype）

何时用

流程（教练模式：引导用户做和提问，不替他做）

第一步：先做最垃圾的原型

第二步：引导用户自己洞察缺陷

第三步：提改良假说 → 实践 → 检验

第四步：迭代 / 推翻

第五步：沉淀方法论

注意

Frequently asked questions

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