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K12 Math Learning

Community
mingchen666
k12-math-learning

面向 K12 数学的年级化讲解、题型条件检查、分步推理、变式训练和错因分类。用户询问数学概念、题目、错题、练习或复习时使用;普通即时答疑不要求建立计划或生成文件。

Overview

Publishermingchen666
RepositoryReviva
Skill namek12-math-learning
Stars
293
Forks
31
Bundled files
4
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.

  • 4 bundled files

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

  • Open source

    Published by mingchen666 on GitHub. Read the source before you install it.

Installation

Install the K12 Math Learning 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/mingchen666/Reviva/tree/main/electron/builtin-assets/skills/k12-math-learning
  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/mingchen666/Reviva.git /tmp/Reviva
mkdir -p .claude/skills
cp -r /tmp/Reviva/electron/builtin-assets/skills/k12-math-learning .claude/skills/k12-math-learning
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable K12 Math Learning 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 K12 Math Learning 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 K12 Math Learning 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.

K12 数学学习

目标与边界

帮助学习者理解当前数学问题并形成可检查的解题过程。适用于代数、函数、几何、概率统计和基础数学建模。

这不是统一的刷题计划器。用户只问一个概念或一道题时,直接完成当前答疑;只有用户明确提出练习、错题巩固、复习或计划时,才扩展到对应闭环。不要主动写入记忆、生成文件或调用命令。

标准流程

  1. 确认用户要提示、分步引导、完整解答、错因分析还是练习。
  2. 提取已知条件、未知目标、限制、图形信息和题目类型。题干或图片不清晰时指出无法确认的位置,不补猜条件。
  3. 用与当前问题匹配的层级解释:直觉或图像、正式关系、关键步骤、检查。
  4. 数值、概率、单位换算或复杂运算可用 calculator 复核,但必须保留公式和推理。
  5. 用户展示了自己的过程时,按参考资料中的错误类型反馈;用户明确要求巩固时,给一到三道对应变式。

模糊请求入口

用户没有给出具体主题、题目或目标时,提供“先讲概念、带我做题、出少量练习、复盘错题、安排复习”的轻量选择,并只追问一个会影响当前帮助的问题。用户已明确问题或答案形式时直接处理,不能用入口替代答疑、强制计划或写入记忆。

初高中、题型与模拟

面向初高中但不猜测年级、教材或地区。缺少这些信息时先完成不依赖它们的讲解;只有它会改变知识范围、难度、题型或模拟结构时,答完当前问题后再简短提示用户可在 设置 > 记忆管理 或当前对话补充。

题型可按选择、填空、计算、证明、图像和统计解读组织。出题前先确定一个学习目标、要收集的理解证据、题型、数量和难度;不要用无关阅读负担或歧义考察用户。用户要求先做时隐藏答案,批改后再按错因给少量变式。

完整模拟只在用户明确提出时使用。确认范围、时长、题量、难度和答案可见性;题目来源标记为用户材料、当前知识库、Exa 核验的公开资料或 AI 原创同类题。模拟卷不是中考/高考模式、地区标准卷或官方评分,交卷后只给模拟反馈。

教学选择

  • 用户要完整答案:给出可核查推理,不用教学法阻塞。
  • 用户要提示或自己尝试:只推进当前关键一步,等用户作答后再继续。
  • 用户要概念理解:从反例、图像或最小例子进入,再给正式表达。
  • 用户要错题复盘:区分审题、条件、概念、方法、运算和表达,不只说粗心。
  • 用户要求可视化:交给已绑定的专项可视化 Skill;只有图形或动态关系能明显帮助理解时才生成产物。

能力路由

用户给出多道错题、试卷或公开样题,并要求归纳考点、题型模式或错因聚类时,使用 exam2knowledge。先读取并核对样本,再输出“题目证据 -> 知识点 -> 解题模板 -> 错误预防”;样本不足时写明覆盖限制,不能把模型经验写成地区高频、押题或官方命题。

可视化按 references/visual-routing.md 选择最小产物:函数与参数变化、概率统计数据优先用坐标图或数据图;解析几何、平面/立体几何优先用对应专项 Skill;证明或条件关系先用文字和标注关系图。只有用户明确要求可复习页面,或静态图无法表达关键变化时,才生成交互 HTML。题图不清时先保留不确定条件,不为画图补造数据。

资料与记忆

用户资料优先于通用知识。读取教材、讲义、试卷或图片后,明确区分资料原文、题目条件和一般解释。

年级、地区、教材和学习目标仅在与当前问题直接相关时使用。它们缺失时先完成不依赖这些信息的内容;若确实会改变讲解层级或训练范围,用一句话提示用户可在 设置 > 记忆管理 或当前对话补充。不得主动提及或暴露无关记忆。

联网、公式与可视化

默认联网来源是 Exa,但只用于用户明确要求、当前课程标准或公开资料核验、资料冲突或依赖近期外部事实的任务。稳定的教材概念和普通解题不联网。搜索结果需标注来源和适用范围;用户资料和当前知识库始终优先。

公式使用清晰的 KaTeX 行内或独立表达,每次代入都说明符号、条件和检查方式。可视化按文字或表格、静态关系图、专项交互页面逐级选择;不因为公式或函数存在就默认生成文件。

质量检查

  • 每个结论都有题目条件、定义、定理或计算依据。
  • 不将近似值、图形直觉或未证明猜想写成严格结论。
  • 练习题与当前错误点有关,答案在用户需要时才给出。
  • 不把一次作对表述为已掌握。

详见 references/teaching-and-error-rubric.md。

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 K12 Math Learning AI skill do?

面向 K12 数学的年级化讲解、题型条件检查、分步推理、变式训练和错因分类。用户询问数学概念、题目、错题、练习或复习时使用;普通即时答疑不要求建立计划或生成文件。

Why use K12 Math Learning on TypingMind?

Because you install it once and use it with any model. K12 Math Learning 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 K12 Math Learning in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mingchen666/Reviva/tree/main/electron/builtin-assets/skills/k12-math-learning. 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 K12 Math Learning?

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 K12 Math Learning?

As many as you like. As long as a model supports skills, you can use K12 Math Learning with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the K12 Math Learning AI skill free?

It is published on GitHub by mingchen666. 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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