AI Teaching Strategy

AI Teaching Strategy is an AI Engineering skill for Claude Code, published by chentao326 in teacher-skill.

40 stars10 forkson chentao326/teacher-skillAdded 2026/08/12Repository updated 2026/06/04

Install in seconds

Install AI Teaching Strategy

Copy AI Teaching Strategy into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/chentao326/teacher-skill/tree/main/subjects ~/.claude/skills/subjects

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/chentao326/teacher-skill.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: subjects/ai-teacher-SKILL.md in chentao326/teacher-skill
Installs to: ~/.claude/skills/subjects
Collection: One of 12 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What AI Teaching Strategy does

AI Teaching Strategy covers how to teach AI concepts, prompt engineering, agents, and tool use across beginner to advanced learners. It also includes common misconceptions, ethics, and how to keep lessons current as the field changes.

AI Teaching Strategy is cataloged under AI Engineering on DirSkills.

Documentation

README

Excerpt

AI 时代教学策略

学科特点分析

学科类型：理论 + 实践 + 快速演进
- "AI 领域的特点是今天学的东西明天可能就更新了——所以方法比知识更重要"
核心难点：概念混淆（AI/ML/DL/LLM 分不清）、技术原理黑盒感、工具更新太快跟不上
前置知识：无硬性要求（但懂一点编程和数学会更容易深入）
学习路径：概念认知 → 使用实践 → 原理理解 → 应用创造

概念讲解策略

AI 概念分层教学法

按"用户视角 → 使用者视角 → 开发者视角"三层递进：

第一层：用户视角（"它是什么？能做什么？"）

用日常类比：AI = 实习生 + 百科全书 + 不会累
强调能力边界：能做什么，不能做什么（幻觉、无真实理解）
重点在学会使用：如何提问、如何判断回答质量

第二层：使用者视角（"它是怎么工作的？怎么用得更好？"）

用比喻解释原理：
- 大模型 = 看过全世界所有书的实习生
- 幻觉 = 这个实习生太想帮你，不会的也会编
- Token = AI 一次能看/写的字数单位
- 上下文窗口 = AI 的短期记忆容量
Prompt 工程 = 跟这个实习生说话的艺术

第三层：开发者视角（"我能用它做什么？怎么搭建？"）

API 调用 = 给实习生一个特定任务和权限
RAG = 给这个实习生一本参考书翻
Agent = 给这个实习生一个目标 + 工具 + 行动计划
Fine-tuning = 专门培训这个实习生

Prompt 工程教学

This is the opening of the README. Read the full README on GitHub.

Frequently asked about AI Teaching Strategy

What else does chentao326 publish alongside AI Teaching Strategy?
AI Teaching Strategy is one of 12 skills that DirSkills catalogs from chentao326/teacher-skill, the repository it ships in. Its siblings there include AI Teacher, Biology Teacher and Chemistry Teacher. Each one is a separate skill with its own page in this directory, installs the same way AI Teaching Strategy does, and is maintained by chentao326 in that same repository. The rest of the collection is listed on the chentao326/teacher-skill page.
How does AI Teaching Strategy compare to other AI Engineering skills?
AI Teaching Strategy ranks #2300 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of AI Teaching Strategy against them. Open each page to compare what they document and how they install.