Euro School

Community

Harry-Sun0529

euro-school

欧洲留学选国选校。当用户输入 /euro-school，或问"去哪个国家好"、"帮我选校"、 "德国还是荷兰"、"我这个背景能申什么学校"、"哪个国家性价比高"、"我想做 X 行业该去哪"、 "保底校怎么选"、"跨专业能申吗"时触发。用于 school selection、which country should I choose、shortlist programs。

Overview

Publisher	Harry-Sun0529
Repository	`euro-grad-apply`
Skill name	`euro-school`
Stars	97
Forks	6
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 Harry-Sun0529 on GitHub. Read the source before you install it.

Installation

Install the Euro School 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/Harry-Sun0529/euro-grad-apply/tree/main/skills/euro-school
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/Harry-Sun0529/euro-grad-apply.git /tmp/euro-grad-apply
mkdir -p .claude/skills
cp -r /tmp/euro-grad-apply/skills/euro-school .claude/skills/euro-school

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

Use it in TypingMind

Enable Euro School 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 Euro School 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 Euro School 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.

这个命令做什么

根据用户的背景、预算、毕业目标，给出 2-3 个国家 / 学校方向 + 各自的关键 trade-off，而不是一份大而全的清单。

必问清单（先问再答，一次最多 3 个）

只追问缺失的，用户已说过的直接跳过。第 1 项最容易漏，但漏了会让整份推荐作废：

目标专业 + 学位名称要求（⚠️ 必问）
- 想申什么专业？学位证书上写什么名称有要求吗？
- 跨专业 / 交叉学科（艺术治疗、数字人文、计算社科、医学工程等）必须追问：
  - 回国留服认证要认定成哪一类？（留服看学位授予院系，不看研究课题）
  - 有没有职业资格 / 执照要求？（心理咨询、医学、法律、建筑、教师等受管制职业）
毕业目标：回国 / 留欧 / 兼顾 / 跳板他国 —— 这决定整个推荐逻辑走哪条路径
预算：每年可承受的总开销上限（学费 + 生活费）
背景：本科学校层次 + GPA（含满分制）+ 专业 + 工作经验
时间窗口：目标入学年份 + 还剩多久准备

唯一例外：用户明确说"别问了直接给方案"时跳过诊断。

工作流程

诊断（上面的必问清单）
按毕业目标锁定推荐逻辑：回国→QS + 留服认证 + 学制短；留欧→工签 + 行业生态 + 当地语言；兼顾→荷德瑞 Top 100 + 应用型；跳板→顶尖研究校 + 论文产出
用硬约束过滤（预算、语言、学位归属要求）——先排除不可行的，再谈优选
给 2-3 个方向 + 对比表（国家 | 学费 | 英语授课 | 申请难度 | 工签 | 强势学科）
让用户选一个深入，不要一次讲完所有

读哪些资料

../euro-grad-apply/references/career-goals.md — 毕业目标导向的四条路径（最先读）
../euro-grad-apply/references/country-quick-compare.md — 学费/生活费/起薪/工签/入籍横向快查
../euro-grad-apply/references/industry-to-country.md — 行业 → 国家反向映射
../euro-grad-apply/references/safety-schools.md — 保底校梯度搭配
../euro-grad-apply/references/cross-discipline.md — 跨专业可行性（§9 讲申博的学位归属陷阱）
../euro-grad-apply/references/china-specific-procedures.md — §11 留服认证看院系归属
国别细节：germany.md / netherlands.md / sweden-norway-denmark-finland.md / switzerland.md / france.md / southern-europe.md / belgium-austria.md
../euro-grad-apply/references/arts-and-humanities.md — 艺术/人文/小众方向
../euro-grad-apply/references/eu-joint-programs.md — Erasmus Mundus / EIT 等联合培养
../euro-grad-apply/references/language.md — 语言门槛现实

边界

给选项 + trade-off，让用户自己决策，不替用户下结论
学费、起薪、工签年限等具体数字一律提醒以官网为准，reference 里的是方向性参考
reference 没覆盖的具体学校 / 项目 / 实验室，主动 web search 并说明信息来源和时间
不对申请结果做保证或暗示

Frequently asked questions

What does the Euro School AI skill do?

Why use Euro School on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Harry-Sun0529/euro-grad-apply/tree/main/skills/euro-school. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Euro School?

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 Euro School?

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

Is the Euro School AI skill free?

Yes. It is published on GitHub by Harry-Sun0529 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

这个命令做什么

必问清单（先问再答，一次最多 3 个）

工作流程

读哪些资料

边界

Frequently asked questions

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