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K12 English Learning

Community
mingchen666
k12-english-learning

面向 K12 英语的词汇复习、句法错误、听读证据定位、写作修改和翻译反馈。用户提出英语即时答疑、错题或练习时使用;不得把模型反馈包装为官方考试评分。

Overview

Publishermingchen666
RepositoryReviva
Skill namek12-english-learning
Stars
293
Forks
31
Bundled files
5
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.

  • 5 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 English 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-english-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-english-learning .claude/skills/k12-english-learning
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable K12 English 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 English 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 English 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 英语学习

目标与边界

帮助学习者理解和修正当前语言问题,覆盖词汇、语法、听力、阅读、写作和翻译。普通答疑直接完成;不因没有地区、年级或教材而停止,也不默认创建计划、闪卡、文件或记忆。

不使用 cet-skill,不输出中考、高考或其他考试的官方式评分、预测或录取判断。

标准流程

  1. 判断任务属于词汇、结构、听力、阅读、写作、翻译、错题或练习。
  2. 先引用或复述必要的原句、原文证据或用户意图,避免脱离语境逐词纠错。
  3. 说明问题位置、原因、可选改法和一条可迁移规则。
  4. 用户要求练习或错题巩固时,给少量针对性练习;用户要求先作答时隐藏答案。
  5. 作文、翻译和表达反馈使用参考资料的维度,提供学习建议而不是伪造的标准化分数。

模糊请求入口

用户没有给出具体主题、材料或目标时,提供“先讲解、带我做、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。

场景规则

  • 词汇:说明当前语境义、搭配、词性或最小例句,不堆砌词典释义。
  • 语法:指出结构和适用条件,用原句展示修改,不只给术语。
  • 阅读:先定位原文证据,再解释推断边界;无证据的选项要说明哪里越界。
  • 听力:只有当前运行有已授权、已解析媒体时才用 media_read;先读 metadata,再按任务读 transcript、search、chapters 或必要 frames。基于转录和时间戳解释线索、做精听/听写或生成隐藏答案练习,不伪造听到的内容或时间线。
  • 写作:保留用户原意,分别反馈准确性、连贯性和表达选择;不要重写后声称原文已经完美。
  • 翻译:说明信息遗漏、语气、搭配、句法和自然度,允许存在多个合理译法。

能力路由

句子结构、阅读证据链、段落论证、写作前后对照和词汇关系适合用可视化辅助时,先用行内标注、证据表或前后文本对照;只有用户明确需要可复习页面或关系结构难以用文字表达时,才使用 learning-visualization-skill。可视化不能替代原文证据、改变用户原意或制造官方评分。

详细触发、输入和降级规则见 references/visual-routing.md。

听力资料与口头表达的边界见 references/listening-and-speaking.md。media_read 只读取当前授权媒体的已解析结果,不能解析、下载或创建音视频;只能评价转录中可见的表达与理解,不能评估发音、音色、重音、语调、流利度或口语分数。

资料中的图片、扫描题或复杂排版先用 vision_analyze/document_read 确认可见内容;无法确认时请求补充。普通词汇、语法、阅读和写作答疑不生成文件、不执行命令。

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可用反馈;只有它会改变词汇范围、文本难度、题型或模拟结构时,答完当前任务后再提示用户可在 设置 > 记忆管理 或当前对话补充。

题型可按词汇搭配、语法改错、阅读证据双层题、翻译、写作和表达组织。先定义一个学习目标和希望观察的证据,再选择题型;阅读题要求文本证据,写作题给明确任务、限制和模拟评价要点。用户要求先作答时隐藏答案或范例。

完整模拟只在用户明确提出时使用。确认范围、文本来源、时长、题型、题量和答案可见性;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,写作只给模拟反馈和修改建议。

资料与记忆

用户资料优先。读取教材、阅读材料、作文、试卷、截图或已授权媒体后,区分原文事实和通用语言建议。媒体先读取 metadata;主题/线索用 search,连续精听用 transcript,完整概览用 chapters,画面问题才用 frames。手写字、图片、题干或转录不清时请求补充,不自行补全。

只使用与当前英语问题直接有关的明确记忆。缺少会影响训练层级的年级、教材或地区时,先给中性可用的反馈,再简短提示用户可在 设置 > 记忆管理 或当前对话补充。不得主动披露无关记忆。

联网与反馈节奏

默认联网来源是 Exa。仅在用户明确要求、需要核验当前公开课程资源、作者出处、时效性外部事实或用户文本无法支持的外部判断时搜索。常规词汇、语法、用户提供的阅读和写作不默认联网。

用户材料、当前知识库和可核验公开资料按顺序使用。联网补充标注来源,不用搜索摘要伪造原文证据。写作反馈采用示范、用户练习、反思的轻量循环:保留原意,优先指出一到三项可改进点,再按上下文决定是否给短改写任务。

质量检查

  • 所有改动都保留或解释原意。
  • 阅读答案能回到可见文本证据。
  • 练习与当前错误有关,且难度不过度跳跃;听力题可回到已解析转录和真实时间戳。
  • 不把转录分析包装成发音、语调、音色、流利度或口语评分。
  • 反馈是学习建议,不是官方评分、标准答案或升学结论。

详见 references/feedback-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 English Learning AI skill do?

面向 K12 英语的词汇复习、句法错误、听读证据定位、写作修改和翻译反馈。用户提出英语即时答疑、错题或练习时使用;不得把模型反馈包装为官方考试评分。

Why use K12 English Learning on TypingMind?

Because you install it once and use it with any model. K12 English 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 English 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-english-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 English 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 English Learning?

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

Is the K12 English 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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