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Skills/lijigang/ljg-skills/ljg-learn
ljg-learn logo

ljg-learn

lijigang/ljg-skills
4K installs6K stars
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Installation

npx skills add https://github.com/lijigang/ljg-skills --skill ljg-learn

Summary

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', '/ljg-learn'. Produces org-mode output.

SKILL.md

Usage

<example> User: /ljg-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:

#+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。
  3. 报告路径,完成。

Score

0–100
71/ 100

Grade

B

Popularity23/30

3,922 installs — solid traction. Source repo has 5,773 GitHub stars.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Ljg Learn skill score badge previewScore badge

Markdown

[![Ljg Learn skill](https://www.claudemarket.ai/skills/lijigang/ljg-skills/ljg-learn/badges/score.svg)](https://www.claudemarket.ai/skills/lijigang/ljg-skills/ljg-learn)

HTML

<a href="https://www.claudemarket.ai/skills/lijigang/ljg-skills/ljg-learn"><img src="https://www.claudemarket.ai/skills/lijigang/ljg-skills/ljg-learn/badges/score.svg" alt="Ljg Learn skill"/></a>

Ljg Learn FAQ

How do I install the Ljg Learn skill?

Run “npx skills add https://github.com/lijigang/ljg-skills --skill ljg-learn” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Ljg Learn 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', '/ljg-learn'. Produces org-mode output. The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Ljg Learn skill free?

Yes. Ljg Learn is a free, open-source skill published from lijigang/ljg-skills. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Ljg Learn work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Ljg Learn works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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