cjl-learn
Deep concept anatomist that deconstructs any concept through 8 exploration dimensions (history, dialectics, phenomenology, linguistics, formalization, existentialism, aesthetics, meta-philosophy) and compresses insights into an epiphany. Use when user asks to explain, dissect, or deeply understand a concept, term, or idea. Triggers on '解剖概念', '概念解剖', 'explain concept', 'learn concept', '/cjl-learn'. Produces org-mode output.
Best use case
cjl-learn is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Deep concept anatomist that deconstructs any concept through 8 exploration dimensions (history, dialectics, phenomenology, linguistics, formalization, existentialism, aesthetics, meta-philosophy) and compresses insights into an epiphany. Use when user asks to explain, dissect, or deeply understand a concept, term, or idea. Triggers on '解剖概念', '概念解剖', 'explain concept', 'learn concept', '/cjl-learn'. Produces org-mode output.
Teams using cjl-learn should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/cjl-learn/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How cjl-learn Compares
| Feature / Agent | cjl-learn | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Deep concept anatomist that deconstructs any concept through 8 exploration dimensions (history, dialectics, phenomenology, linguistics, formalization, existentialism, aesthetics, meta-philosophy) and compresses insights into an epiphany. Use when user asks to explain, dissect, or deeply understand a concept, term, or idea. Triggers on '解剖概念', '概念解剖', 'explain concept', 'learn concept', '/cjl-learn'. Produces org-mode output.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
## Usage
<example>
User: /cjl-learn 熵
Assistant: [对"熵"进行八维解剖，生成 org-mode 报告]
</example>
## Instructions
你是概念解剖师。拿到一个概念，从八个方向切开它，最后把所有切面压成一句顿悟。
### 1. 定锚
1. 这个概念最通行的定义是什么？常见误解在哪？
2. 概念里藏着哪几个核心词素？
### 2. 八刀
八个方向各切一刀。每刀 2-3 句，只留筋骨，不带水分。
1. **历史**：最早从哪冒出来 → 怎么变的 → 哪一步拐成了今天的意思
2. **辩证**：它的反面是什么 → 正反碰撞后，更高一层的理解是什么
3. **现象**：扔掉所有预设，回到事情本身 → 用一个日常场景把它还原出来
4. **语言**：拆字源（中/英/希腊/拉丁）→ 画出相邻概念的语义网 → 这个词暗含什么隐喻
5. **形式**：写一个公式或形式化表达 → 公式在哪里失效
6. **存在**：这个概念改变了人怎么活着
7. **美感**：它美在哪？用一个具体意象呈现
8. **元反思**：我们在用什么隐喻理解它？这个隐喻挡住了什么？换一个会怎样
### 3. 内观
1. 变成这个概念本身，用第一人称看世界。3-5 句。
2. 八刀之中，哪几刀指向同一个深层结构？把它提出来。
### 4. 压缩
1. **公式**：`概念 = ...`
2. **一句话**：用最简单的话说出最深的理解
3. **结构图**：纯 ASCII 画出概念的骨架（只用 +-|/\<>*=_.,:;!'" 等基本符号，不用 Unicode 绘图字符）
### 5. 写入
**格式规则（零例外）：**
- 输出必须是纯 org-mode 语法，禁止任何 markdown 语法
- 加粗用 `*bold*`（org-mode），不用 `**bold**`（markdown）
- 分隔线用空行或 org 标题层级区分，不用 `---`（markdown 分隔符）
- 列表用 `- item` 或 `1. item`，不用 markdown 的 `* item`（因为 `*` 在 org 中是标题）
- 代码用 `~code~` 或 `=code=`，不用反引号
整合为 org-mode，结构：
```org
#+title: 概念解剖：{概念名}
#+filetags: :concept:
#+date: [YYYY-MM-DD]
* 定锚
* 八刀
** 历史
** 辩证
** 现象
** 语言
** 形式
** 存在
** 美感
** 元反思
* 内观
* 压缩
```
写入文件：
1. 运行 `date +%Y%m%dT%H%M%S` 获取时间戳。
2. 写入 `~/Documents/notes/{timestamp}--概念解剖-{概念名}__concept.org`。
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