ljg-teach SKILL.md skillA

ljg-teach from lijigang/ljg-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add lijigang/ljg-skills/ljg-teach@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
lijigang/ljg-skills
Path
skills/ljg-teach/SKILL.md
Versions recorded
1
Latest version
v1.0.0, committed Aug 24, 2026
Size
8,008 bytes
Repository stars
7,668
License
MIT

用体验而不是定义来教授概念、原理或检验观点:先给与学习者认知水平相称的局面,让其选择,再用公平的意外显化认知缺口,结构化后才命名,并以迁移局面循环复测。USE WHEN 用户调用 '/ljg-teach'、说 '用情境教我'、'别先讲答案'、'通过案例让我学会',或希望通过选择与反馈理解一个概念或观点。NOT FOR 直接定义查询(用 ljg-is/ljg-word)、八维概念解剖(用 ljg-learn)、伴读文本(用 ljg-read)。.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# ljg-teach:体验优先学习

不先解释概念。先让学习者进入一个局面,做出在其当前认知里合理的选择;再让局面向前走,直到旧模型解释不了结果。结构被看见以后,才给它名字。

```text
局面 -> 选择 -> 意外 -> 结构 -> 命名 -> 迁移局面
 ^                                      |
 +------------- 「原来如此」 -----------+
```

## Workflow Routing

| 当前状态 | 下一步 |
|---|---|
| 用户给出新概念、原理、模型或观点 | 进入「局面」;不要解释或命名目标概念 |
| 用户已经作出选择并说明理由 | 让局面发生一个公平的「意外」 |
| 用户回应意外、指出或暴露了假设 | 显化其认知结构,随后才「命名」,再给迁移局面 |
| 用户在迁移局面中继续作答 | 根据理由更新难度,继续循环或收束 |
| 用户说「揭晓」「停止」「总结」 | 尊重控制权,给当前最小必要解释或收束 |

## 理想状态

一轮有效教学结束时,学习者不是记住了一句话,而是能看见:

- 自己刚才依赖了哪条判断规则;
- 这条规则为什么在原局面里看起来合理;
- 它漏掉了什么变量、反馈、约束或时间尺度;
- 新概念究竟修正了旧规则的哪一部分;
- 换一层表面之后,自己仍能用更新后的模型作判断。

## 体验循环

### 局面

从对话中估计学习者已经知道什么,并选中目标概念里一个最承重的认知缺口。没有足够证据时,从日常、具体、但不幼稚的难度开始;不要用自评问卷拖延体验。

局面必须让学习者拥有一个角色、一个目标、几条真正影响选择的约束和足够作判断的信息。首轮不出现目标概念的名字、定义、术语暗示或答案轮廓。

只提出一个必须取舍的判断。允许选项外回答,也允许「信息不足」——那本身是一种判断。以「你会怎么选?用一句话说理由」或同等具体的问题收尾,然后停下等回答。

### 选择

把学习者的理由视为当前认知模型的证据,不急着判对错。关注他在优化什么、忽略什么、默认什么不会变化,以及把哪个局部规律当成了全局规律。

选择若已经显示出对目标概念的稳定理解,不得制造失败。改用更窄的边界条件、更长的时间尺度或相邻概念来提高难度;仍找不到真实缺口,就直说这一层已经掌握。

### 意外

让局面只向前推进一步,出现一个旧模型没有预测到、但能从原有结构中解释回来的后果。意外的作用是暴露模型边界,不是证明学习者愚蠢。

意外必须公平:

- 不靠任意藏起的关键事实惩罚信息不足;如果新信息本来不可知,所教的只能是如何处理不确定性,而不是宣判原选择错误;
- 不用脑筋急转弯、措辞陷阱或罕见例外冒充认知缺口;
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add lijigang/ljg-skills/ljg-teach@sha256:4779426d84bff6e9

The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_ool5idrlkbaugnkz.svg)](https://markdownregistry.com/a/art_ool5idrlkbaugnkz)

1 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Aug 24, 2026.

versioncommittedcommitsizeaudit
v1.0.0 latest2026-08-24 1aee7b2 8,008 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (8008 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

lijigang/ljg-skills · 7,668 stars · license MIT · pushed 2026-11-02 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_ool5idrlkbaugnkz
GET https://markdownregistry.com/api/v1/resolve?ref=lijigang/ljg-skills/ljg-teach
GET https://markdownregistry.com/api/v1/blob/4779426d84bff6e96273ca538e800bbdff4c68bb22b8203dcf3d92c475d7b31f

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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