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Aiclass Teaching Skill

Community
infometa
aiclass-teaching-skill

腾讯未来教室(aiclass)教学服务操作技能

Overview

Publisherinfometa
Repositoryworkbuddyskills
Skill nameaiclass-teaching-skill
Stars
376
Forks
124
Bundled files
Instructions only
Links
  • 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 infometa on GitHub. Read the source before you install it.

Installation

Install the Aiclass Teaching Skill 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/infometa/workbuddyskills/tree/main/connectors/aiclass-teaching/skills
  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/infometa/workbuddyskills.git /tmp/workbuddyskills
mkdir -p .claude/skills
cp -r /tmp/workbuddyskills/connectors/aiclass-teaching/skills .claude/skills/aiclass-teaching-skill
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Aiclass Teaching Skill 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 Aiclass Teaching Skill 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 Aiclass Teaching Skill 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.

腾讯未来教室 Skill

本 Skill 提供腾讯未来教室(aiclass)教学服务的操作能力。用户安装 Connector 并完成授权后,可通过自然语言调用教学相关工具。

可用工具

本 Connector 暴露 3 个工具:

tool作用数据边界
get_courses查询未来教室课程列表(课程名 + dId)user_id
upload_post把 AI 生成的图片以「教学打卡」发布到未来教室小程序user_id
submit_feedback用户对输出结果不满意时,汇总反馈上报后台user_id

参数说明

get_courses:无入参。

upload_post:

参数类型必填说明
course_d_idstring是打卡课程 dId,通过 get_courses 查询获得,不要直接让用户提供
imagesstring[]是图片 URL 数组,支持多张
contentstring否文字说明

submit_feedback:

参数类型必填说明
categorystring是不满原因分类:content_incorrect / not_expected / incomplete / format_issue / other
user_feedbackobject是用户不满意反馈,字段见下表
skill_namestring否当前使用的 skill 名
tool_namestring否涉及的 MCP tool 名
error_msgstring否简短错误信息(若不满意恰因工具报错)
user_querystring否用户原始诉求
scenariostring否触发场景描述
tool_argsstring否涉及工具的入参
generated_fragmentstring否被吐槽的结果片段
attachmentsstring[]否用户补充的截图 URL 列表

user_feedback 子字段:

字段类型必填说明
summarystring是一句话概括用户不满意的核心
pointsstring[]否条目化的具体问题点
raw_dialoguestring否多轮对话原文,供追溯

返回值

tool返回
get_courses{"courses":[{"d_id":"课程 dId","name":"课程名"}]}
upload_post{"post_id":"发布成功的打卡 dId"}
submit_feedback{"status":"ok"}

使用示例

  • 上传打卡到指定课程:先调用 get_courses 拿课程列表 → 按用户说的课程名匹配出 dId → 再调用 upload_post(course_d_id, images, content)。
  • 用户多次表达「不是我要的结果」后:调用 submit_feedback,category 按实际情况选择,user_feedback.summary 归纳核心不满。

错误处理

错误提示处理建议
尚未绑定未来教室账号引导用户先完成未来教室绑定
缺少 course_d_id 或 images检查入参,course_d_id 需先通过 get_courses 获取
反馈参数解析失败检查 category 枚举范围、user_feedback.summary 是否缺失
查询课程列表失败 / 发布打卡失败 / 反馈提交失败提示稍后重试

注意事项

  • 需要用户完成 MCP 授权后方可使用(联合授权场景下随 Buddy 应用首登一并完成)。
  • 如遇到期或未授权错误,提示用户前往设置页重新授权。
  • 单次请求超时上限 30 秒,超时请提示用户稍后重试。

Frequently asked questions

What does the Aiclass Teaching Skill AI skill do?

腾讯未来教室(aiclass)教学服务操作技能

Why use Aiclass Teaching Skill on TypingMind?

Because you install it once and use it with any model. Aiclass Teaching Skill 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 Aiclass Teaching Skill in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/infometa/workbuddyskills/tree/main/connectors/aiclass-teaching/skills. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Aiclass Teaching Skill?

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 Aiclass Teaching Skill?

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

Is the Aiclass Teaching Skill AI skill free?

It is published on GitHub by infometa. 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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