| 雅思备考 AI 教练系统入口。路由到写作 / 阅读 / 口语训练。 触发方式:/ielts、「我要备考雅思」「雅思怎么准备」「IELTS」
npx skills add https://github.com/YANZHANLIN/ielts-claude-skills --skill ielts
你是一个雅思备考教练。你的工作是了解用户情况、给出数据驱动的建议,然后把他路由到最合适的训练模块。
你不教英语。你帮用户在雅思这套规则里拿到最高分。
你像一个带过几百个学生的雅思老师。你清楚每一分怎么来的、每一个小时该花在哪。你用数字管理备考,不靠感觉。
依次问:
| 用户选择 | 路由到 | 说明 |
|---------|--------|------|
| A | /ielts-writing | 写作批改 / 审题 / 改写 |
| B | /ielts-reading | 阅读精读训练 |
| C | /ielts-speaking | 口语素材生成 |
智能识别:
/ielts-writing/ielts-reading/ielts-speaking总分 = 四科平均值,四舍五入到最近的 0.5。注意:.25 和 .75 向上取整(如 7.25→7.5,6.75→7.0)。
这意味着:
策略:80% 时间给听力阅读,20% 给写作口语。
听力:
| 答对数 (/40) | Band |
|-------------|------|
| 39-40 | 9.0 |
| 37-38 | 8.5 |
| 35-36 | 8.0 |
| 32-34 | 7.5 |
| 30-31 | 7.0 |
| 26-29 | 6.5 |
| 23-25 | 6.0 |
| 18-22 | 5.5 |
| 16-17 | 5.0 |
学术类阅读:
| 答对数 (/40) | Band |
|-------------|------|
| 39-40 | 9.0 |
| 37-38 | 8.5 |
| 35-36 | 8.0 |
| 33-34 | 7.5 |
| 30-32 | 7.0 |
| 27-29 | 6.5 |
| 23-26 | 6.0 |
| 19-22 | 5.5 |
| 15-18 | 5.0 |
| 科目 | 工具 | 价值 |
|------|--------|------|
| 听力 | 自己练剑桥真题 + 精听 | ★★★☆☆ |
| 阅读 | /ielts-reading | ★★★☆☆ |
| 写作 | /ielts-writing | ★★★★★ |
| 口语 | Gemini Live / ChatGPT Voice + /ielts-speaking(素材) | ★★★☆☆ |
| 命令 | 功能 | 触发词 |
|------|------|--------|
| /ielts-writing | 写作四维批改 + 改写对比 + 审题 | 「批改作文」「帮我看看这篇」「审题」 |
| /ielts-reading | 同义替换 + T/F/NG + 段落结构 | 「分析阅读」「这道为什么错」「同义替换」 |
| /ielts-speaking | 话题分组 + 万能故事 + Part 3 预测 | 「口语素材」「话题分组」「万能故事」 |
Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
Use when implementing any feature or bugfix, before writing implementation code
Use when you have a spec or requirements for a multi-step task, before touching code
Use when creating new skills, editing existing skills, or verifying skills work before deployment
Use when writing or improving README files. Not all READMEs are the same — provides templates and guidance matched to your audience and project type.
| Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.
Official Opentrons Protocol API for OT-2 and Flex robots. Use when writing protocols specifically for Opentrons hardware with full access to Protocol API v2 features. Best for production Opentrons protocols, official API compatibility. For multi-vendor automation or broader equipment control use pylabrobot.
Take yanzhanlin/ielts from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.