Decision engine, not a chatbot
Objective scoring built on the official IELTS Band Descriptors, with the Examiner Mindset Audit protocol suppressing the people-pleasing bias of large models.
IELTS Academic · AI Coach + Study Notes
IELTS-Preparation
An official band-descriptor-driven AI coach system plus personal speaking, writing, and reading notes for IELTS Academic.
License MIT (coach system)Notes All rights reservedUse with Any LLM chatModules 6
Features
What it does
IELTS Academic preparation in one repository: the IELTS Master Coach — a six-module AI coaching framework built on the official Band Descriptors — plus personal study notes covering speaking, Task 1/2 writing, and reading. The coach system is MIT-licensed; the personal notes keep their own all-rights-reserved license.
Six-module architecture
A core system for state routing and scoring, plus writing correction, reading & listening, speaking & vocabulary, diagnosis & planning, and examiner audit modules.
Four-dimensional writing correction
Task 2 analysis across TR/CC/LR/GRA with elevated model-essay generation.
Speaking & vocabulary toolkit
The A.R.E.A model, STAR story clustering, and lexical chunk building for Part 2/3.
Context persistence
A [System Snapshot] carried between sessions enables quantitative tracking of learning progress and automatic routing.
Speaking notes
Part 2/3 topic scripts, template systems, and full sample sets in the notes folder.
Writing & reading notes
Task 2 argument-type folders, Task 1 chart, map and process guides, plus Band-7 reading notes and a universal argument bank in PDF.
Details
What is inside
| Folder | Contents | License |
|---|---|---|
| coach-system/ | IELTS Master Coach — 6-module AI coaching framework for Academic prep | MIT |
| notes/口语/ | Speaking Part 2/3 materials: topic scripts, template systems, full sample sets | All rights reserved |
| notes/大作文/ | Task 2 essays: argument-type folders (agree/disagree, discussion, pros & cons, report) + full guides | All rights reserved |
| notes/小作文/ | Task 1 charts: dynamic/static graphs, maps, process & device diagrams + score-boosting notes | All rights reserved |
| notes/ (PDF files) | Reading Band-7 notes, Academic Writing overview, universal argument bank, reading exercises with solutions | All rights reserved |
Quick Start
How to use
- Clone the repository.
- Open the entry file in coach-system/ and paste it into any LLM chat.
- Provide your target score, current level, exam date and weak areas — the system routes automatically.
- Feed the [System Snapshot] back at the start of each new conversation so the AI keeps full learning history.
- Browse notes/ for per-skill materials; the PDFs are print-ready.
shell
git clone https://github.com/AkiroMusic/IELTS-Preparation.git
“A decision engine for maximizing scores under exam rules.”
雅思学术 · AI 教练 + 备考笔记
项目简介
一站式雅思学术备考仓库：基于官方评分标准构建的六模块 AI 教练框架「雅思全能备考教练」，以及覆盖口语、Task 1/2 写作与阅读的个人笔记。教练系统采用 MIT 许可，个人笔记保留独立的「保留所有权利」许可。
决策引擎，而非聊天机器人
基于雅思官方评分标准的客观计分，通过「考官思维审计」协议压制大模型的「讨好型偏见」。
六模块架构
核心系统负责全局状态路由与计分，另有写作批改、阅读与听力、口语与词汇、诊断与规划、考官审计五大模块。
四维写作批改
按 TR/CC/LR/GRA 四维深度解析 Task 2，并生成升维范文。
口语与词汇工具箱
A.R.E.A 模型、STAR 故事聚类与词块记忆构建，覆盖口语 Part 2/3。
上下文持久化
通过 [系统环境快照] 跨会话携带上下文，实现学习进度的量化追踪与自动路由。
口语笔记
notes 目录内含口语 Part 2/3 串题稿、模板体系与完整范文全集。
写作与阅读笔记
Task 2 按论证类型分文件夹，Task 1 覆盖图表、地图与流程图攻略，另有阅读 7 分笔记与万能论点库 PDF。
明细
仓库结构
| 文件夹 | 内容 | 许可 |
|---|---|---|
| coach-system/ | 雅思全能备考教练——六模块 AI 教练框架 | MIT |
| notes/口语/ | 口语 Part 2/3 素材：串题稿、模板体系、完整范文全集 | 保留所有权利 |
| notes/大作文/ | Task 2 作文：论证类型文件夹（同意与否/双边讨论/利弊类/报告类）+ 全攻略 | 保留所有权利 |
| notes/小作文/ | Task 1 图表：动态图/静态图、地图、流程与装置图 + 提分笔记 | 保留所有权利 |
| notes/（PDF 文件） | 阅读 7 分笔记、学术写作总览、万能论点库、阅读习题详解 | 保留所有权利 |
- 克隆仓库。
- 打开 coach-system/ 中的入口文件，粘贴到任意大模型对话中。
- 输入目标分、当前水平、考试日期及薄弱环节，系统自动路由。
- 每次新对话开始时提供 [系统环境快照]，确保 AI 保留完整学习历史。
- 按技能浏览 notes/ 中的资料，PDF 适合打印。
shell
git clone https://github.com/AkiroMusic/IELTS-Preparation.git
“在考试规则下实现分数最大化目标的决策引擎。”