Kaoyan English

考研英语一和英语二备考 skill，支持历年真题知识库检索、阅读/阅读理解/完形/完型/翻译逐题精析、阅读和完形全文翻译、重点词汇与固定搭配讲解、作文评分批改、模拟阅读、模拟完形/完型、外刊出题、生成练习、保存练习记录和错题复盘。Use when users ask about 考研英语真题、英一、英语一、英二、英语二、阅读、阅读理解、阅读 Text、阅读全文翻译、阅读原文翻译、完形全文翻译、完型全文翻译、重点词汇、固定搭配、完形填空、完型填空、完形、完型、翻译、作文批改、考研英语模拟题、模拟阅读、模拟完形、模拟完型、外刊阅读训练、外刊出题、外刊改编、VOA 阅读、抓取文章、生成练习、保存练习记录、题目选项讲解、答案依据、长难句分析、错题复盘。Only use for explicit 考研英语/英一/英二/备考 contexts; do not use for unrelated generic reading, translation, writing, or coding tasks.

Because you install it once and use it with any model. Kaoyan English 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.

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Echo1LZJY/echo-kaoyan-english-skill/tree/main/.claude/skills/kaoyan-english. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

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.

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

It is published on GitHub by Echo1LZJY. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

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.

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.