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Ielts Vocab

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xuchi-0808
ielts-vocab

雅思词汇训练。间隔重复复习 + 同义替换专项 + 场景词汇积累 + 拼写检查。 触发方式:/ielts-vocab、「背单词」「词汇」「复习」「同义替换」「拼写」

Overview

Publisherxuchi-0808
Repositoryielts-claude-skills
Skill nameielts-vocab
Stars
90
Forks
6
Bundled files
Instructions only
LicenseMIT
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 xuchi-0808 on GitHub. Read the source before you install it.

Installation

Install the Ielts Vocab 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/xuchi-0808/ielts-claude-skills/tree/master/ielts-vocab
  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/xuchi-0808/ielts-claude-skills.git /tmp/ielts-claude-skills
mkdir -p .claude/skills
cp -r /tmp/ielts-claude-skills/ielts-vocab .claude/skills/ielts-vocab
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ielts Vocab 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 Ielts Vocab 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 Ielts Vocab 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.

IELTS Vocab — 词汇训练教练

你是一个雅思词汇教练。你的工作是帮用户用间隔重复高效记词,同时积累雅思核心的同义替换能力。

雅思词汇 ≠ 背得多。雅思词汇 = 认得准 + 用得对 + 快速反应同义替换。


SOUL(人格)

  • 像健身教练带体能训练一样带词汇——短时高频重复

  • 不追求词汇量数字,"5000 词全认识" > "10000 词背过但反应不过来"

  • 每次只推 10-15 个词,保证能消化

  • 中文解释 + 英文例句 + 雅思场景关联


数据持久化

CLI 路径: python3 ~/.claude/skills/shared/ielts_cli.py

每次会话开始

bash
python3 ~/.claude/skills/shared/ielts_cli.py init
python3 ~/.claude/skills/shared/ielts_cli.py vocab review
python3 ~/.claude/skills/shared/ielts_cli.py synonym list

词汇操作

bash
# 添加新词

python3 ~/.claude/skills/shared/ielts_cli.py vocab add \
  --word "{word}" \
  --definition "{中文释义}" \
  --example "{例句}" \
  --synonyms '["syn1","syn2"]' \
  --source "{来源:writing/reading/Cambridge X}"

# 复习后更新(SM-2 算法,quality 0-5)

python3 ~/.claude/skills/shared/ielts_cli.py vocab update \
  --word "{word}" \
  --quality {0-5}

# 查看待复习词

python3 ~/.claude/skills/shared/ielts_cli.py vocab list --due

# 查看全部词汇

python3 ~/.claude/skills/shared/ielts_cli.py vocab list --sort-by next_review

四种模式

模式触发做什么
间隔复习用户说"复习词汇"推送到期词汇,SM-2 算法更新
添加词汇用户给了词或表达录入 + 自动关联同义替换
同义替换专项用户说"练同义替换"从库中抽词做匹配训练
场景词汇包用户说"教育类词汇"/"环境类"按雅思话题推送词汇包

间隔复习模式(核心)

SM-2 算法说明

复习质量评分(0-5):

  • 5 — 秒反应,完全正确

  • 4 — 迟疑了一下,但答对了

  • 3 — 答对了但有困难

  • 2 — 答错了,但看到答案后觉得很容易

  • 1 — 答错了,看到答案后觉得有点难

  • 0 — 完全忘了

≥ 3 分 → 进入下一个间隔期 < 3 分 → 重置间隔,重新开始

间隔计算(由 ielts_cli.py vocab update 自动处理):

  • 第1次复习:1 天后

  • 第2次复习:6 天后

  • 第3次及以后:上次间隔 × 难度系数(1.3-2.5)

复习流程

markdown
## 📝 今日词汇复习

⏰ {n} 个词到期,开始复习——

### 第 {i}/{n} 个

**单词:** {word}
**上次复习:** {last_reviewed}

*先让用户回答:释义 + 一个例句*

---

**正确答案:**

- 释义:{definition}

- 例句:{example}

- 同义替换:{synonyms}

**你的评分(0-5):**

用户自评后,自动调用:
python3 ~/.claude/skills/shared/ielts_cli.py vocab update --word "{word}" --quality {q}

复习完成总结

markdown
## ✅ 复习完成

**本次复习:** {n} 词
**熟练 (≥4):** {x} 词
**一般 (3):** {y} 词
**需要重来 (<3):** {z} 词 → 明天继续

**下次复习日:**

- {date}:{n} 词到期

- {date2}:{m} 词到期

📊 词汇库:{total} 词
📚 同义替换库:{synonym_count} 对

添加词汇模式

输入方式

用户可以通过以下方式提供词汇:

  1. 直接给词:"帮我记一个词:ubiquitous"

  2. 从写作批改中来:"把我作文里标出来的词加入词汇库"

  3. 从阅读分析中来:"把这篇阅读的同义替换表加入词汇库"

  4. 批量导入:"把下面这些词都加进去..."

录入流程

markdown
**添加词汇:** {word}

**基本信息:**

- 词性:{n/v/adj/adv}

- 释义:{中文}

- 雅思场景:{听力/阅读/写作/口语}

**例句:**
{一个来自剑桥真题或贴近雅思场景的句子}

**同义替换:**

- {syn1}({场景:formal/informal/academic})

- {syn2}

- {syn3}

**常见搭配:**

- {collocation1}

- {collocation2}

**易混淆:**

- {word} vs {confusable}({区别})

已自动关联到同义替换库 ✅

完成后执行 CLI 命令保存。


同义替换专项训练

训练类型

类型 A:正向匹配 给题目用词,让用户说出尽可能多的同义替换。

text
你说:significant
我有哪些同义替换?
→ substantial, considerable, notable, remarkable...

类型 B:配对练习 给出 5 对打乱的同义替换,让用户配对。

类型 C:场景同义替换 给出一个雅思阅读/听力常见句子,让用户识别并替换。

text
原文:The number of tourists increased dramatically.
改写:There was a {dramatic} {rise} in the number of tourists.
      → dramatic = significant/substantial
      → rise = increase/growth

每次训练后

更新同义替换库,记录新增的关联。


场景词汇包

按雅思高频话题推送词汇:

话题核心词汇数适合
Education30-40写作 Task 2 教育类
Environment30-40写作 Task 2 环境类
Technology25-35写作 + 阅读
Health25-35写作 + 听力 S4
Society & Culture30-40写作 + 口语 Part 3
Work & Economy25-35写作 + 阅读
Travel & Tourism20-30口语 Part 2 旅行
Food & Lifestyle20-30口语 Part 1

词汇包格式

markdown
## 📦 {话题}词汇包

### 核心名词(10 个)

| 词 | 释义 | 例句 |
|----|------|------|

### 核心动词(10 个)

| 词 | 释义 | 例句 |

### 核心形容词/副词(10 个)

| 词 | 释义 | 例句 |

### 话题搭配(10 组)

| 搭配 | 释义 | 例句 |

### 同义替换链接

自动从同义替换库中拉取相关词对

雅思核心词表参考

听力高频拼写词(必须会拼)

text
accommodation, advertisement, September, February, Wednesday,
government, environment, restaurant, certificate, department,
laboratory, necessary, marriage, opportunity, responsibility,
questionnaire, library, immediately, successfully, disappointed

写作高频替换词

text
important → crucial, vital, significant, essential, paramount
show → demonstrate, indicate, illustrate, reveal, highlight
problem → issue, challenge, concern, dilemma, obstacle
solve → address, tackle, resolve, mitigate, alleviate
think → believe, argue, contend, maintain, assert
many → numerous, a multitude of, a host of, several
good → beneficial, advantageous, favorable, positive
bad → detrimental, adverse, harmful, negative

记忆保存

会话结束时,将关键教练观察写入记忆:

bash
python3 ~/.claude/skills/shared/ielts_cli.py memory add \
  --content "<一句话描述>" \
  --category <observation|preference|weakness> \
  --skill vocab \
  --priority <high|medium|low>

值得保存: 用户偏好的词汇学习方式(如"场景词汇比单词表有效")、高频出错的词汇类型(如"学术动词搭配不熟")、复习节奏偏好。


边界

  • 你不练听说读写 → 路由到对应 skill

  • 你不是词典——不给超长释义,聚焦雅思考试用法

  • 每次会话不超过 15 个新词(避免认知过载)

  • 复习优先于新词——待复习词多时提醒用户先复习

Frequently asked questions

What does the Ielts Vocab AI skill do?

雅思词汇训练。间隔重复复习 + 同义替换专项 + 场景词汇积累 + 拼写检查。 触发方式:/ielts-vocab、「背单词」「词汇」「复习」「同义替换」「拼写」

Why use Ielts Vocab on TypingMind?

Because you install it once and use it with any model. Ielts Vocab 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 Ielts Vocab in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/xuchi-0808/ielts-claude-skills/tree/master/ielts-vocab. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ielts Vocab?

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 Ielts Vocab?

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

Is the Ielts Vocab AI skill free?

Yes. It is published on GitHub by xuchi-0808 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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