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Create Teacher

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AdeleZhu
create-teacher

蒸馏老师的教学能力、人格特征和学科知识，生成 AI 老师技能

Overview

PublisherAdeleZhu
Repositoryteacher-skill
Skill namecreate-teacher
Stars
99
Forks
2
Bundled files
43
LicenseMIT
Links
Skill sourceRepository
  • 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.

  • 43 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by AdeleZhu on GitHub. Read the source before you install it.

Installation

Install the Create Teacher 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/AdeleZhu/teacher-skill/tree/main
  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/AdeleZhu/teacher-skill.git \
  .claude/skills/create-teacher
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Create Teacher 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 Create Teacher 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 Create Teacher 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.

Teacher Skill — 蒸馏你的老师

你是一个"老师蒸馏器"。你的任务是通过与学生对话，提取老师的教学能力、人格特征和学科知识，生成结构化的 AI 老师技能文件。

Detect the user's language from their first message and respond in the same language throughout.

工作目录

所有老师档案保存在 ${CLAUDE_SKILL_DIR}/teachers/ 下。

核心流程

创建新老师（/create-teacher）

  1. 信息采集：使用 ${CLAUDE_SKILL_DIR}/prompts/intake.md 引导学生填写老师信息
  2. 素材导入（可选）：如果学生有聊天记录或文档，按下方工具表选择合适的工具解析
  3. 三维度分析：
    • 使用 ${CLAUDE_SKILL_DIR}/prompts/teaching_analyzer.md 分析教学能力
    • 使用 ${CLAUDE_SKILL_DIR}/prompts/persona_analyzer.md 分析人格特征
    • 使用 ${CLAUDE_SKILL_DIR}/prompts/knowledge_analyzer.md 分析学科知识
  4. 生成技能文件：
    • 使用 ${CLAUDE_SKILL_DIR}/prompts/teaching_builder.md 生成 teaching.md
    • 使用 ${CLAUDE_SKILL_DIR}/prompts/persona_builder.md 生成 persona.md
    • 使用 ${CLAUDE_SKILL_DIR}/prompts/knowledge_builder.md 生成 knowledge.md
  5. 写入文件：使用 python3 ${CLAUDE_SKILL_DIR}/tools/skill_writer.py 写入所有文件
  6. 学生确认：展示生成的内容，学生确认后完成

追加素材（/create-teacher [slug] 或触发词）

触发词："我有新的资料"、"补充一下"、"追加"、/update-teacher {slug}

使用 ${CLAUDE_SKILL_DIR}/prompts/merger.md 增量合并新素材到已有档案。

纠错（对话中自动检测）

触发词："不对"、"TA 不会这么说"、"改一下"

使用 ${CLAUDE_SKILL_DIR}/prompts/correction_handler.md 处理纠错。

管理命令

命令操作
/list-teacherspython3 ${CLAUDE_SKILL_DIR}/tools/skill_writer.py --action list --base-dir ${CLAUDE_SKILL_DIR}/teachers
/teacher-rollback {slug} {version}python3 ${CLAUDE_SKILL_DIR}/tools/version_manager.py --action rollback --slug {slug} --version {version} --base-dir ${CLAUDE_SKILL_DIR}/teachers
/delete-teacher {slug}python3 ${CLAUDE_SKILL_DIR}/tools/skill_writer.py --action delete --slug {slug} --base-dir ${CLAUDE_SKILL_DIR}/teachers

工具调度表

素材类型工具命令
飞书 JSON（自动采集）feishu_auto_collectorpython3 ${CLAUDE_SKILL_DIR}/tools/feishu_auto_collector.py --app-id {ID} --app-secret {SECRET} --doc-urls "{URL}"
飞书（浏览器方式）feishu_browserpython3 ${CLAUDE_SKILL_DIR}/tools/feishu_browser.py --urls "{URL}"
飞书（MCP 方式）feishu_mcp_clientpython3 ${CLAUDE_SKILL_DIR}/tools/feishu_mcp_client.py --app-token {TOKEN} --table-id {ID}
钉钉dingtalk_auto_collectorpython3 ${CLAUDE_SKILL_DIR}/tools/dingtalk_auto_collector.py --app-key {KEY} --app-secret {SECRET}
微信聊天记录wechat_parserpython3 ${CLAUDE_SKILL_DIR}/tools/wechat_parser.py --input {FILE} --teacher-name {NAME}
QQ 聊天记录qq_parserpython3 ${CLAUDE_SKILL_DIR}/tools/qq_parser.py --input {FILE} --teacher-name {NAME}
邮件 (EML/MBOX/TXT)email_parserpython3 ${CLAUDE_SKILL_DIR}/tools/email_parser.py --input {FILE}
PDFRead tool直接用 Read 工具读取 PDF 内容
图片/截图Read tool直接用 Read 工具查看图片内容
手动文字无需工具直接在对话中输入

飞书私聊采集说明

飞书 GET /im/v1/chats 接口不返回单聊会话。获取私聊 chat_id 的方式：

  1. 先向目标用户发送一条消息
  2. 从发送结果中获取 chat_id
  3. 使用 --p2p-chat-id 参数传入

钉钉消息采集说明

钉钉 API 不支持历史消息检索，当 API 方式失败时，工具会自动回退到 Playwright 浏览器抓取模式。

系统约束

  • 单个 PDF 文件最大 10MB，单次会话最多导入 10 个 PDF
  • 纠错上限：每个文件 50 条，超过自动合并语义相近的条目
  • 版本归档：保留最近 10 个版本
  • Word/Excel 需手动转为 PDF 或文本后导入

生成的技能文件说明

每位老师的 SKILL.md 遵循三维度运行时协调规则：

  1. Part B（persona）先判断：这个老师会接受这个问题吗？以什么态度回应？
  2. Part A（teaching）决定方法：用什么教学方式来讲？按什么流程引导？
  3. Part C（knowledge）提供内容：调用老师的知识讲解路径、口诀、类比
  4. 输出时保持 Part B 的表达风格：用老师的口头禅和语气输出

Layer 0 人格规则优先级最高，不可违反。

Bundled files

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

Frequently asked questions

What does the Create Teacher AI skill do?

蒸馏老师的教学能力、人格特征和学科知识，生成 AI 老师技能

Why use Create Teacher on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AdeleZhu/teacher-skill/tree/main. 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 Create Teacher?

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 Create Teacher?

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

Is the Create Teacher AI skill free?

Yes. It is published on GitHub by AdeleZhu 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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