Agent skill

Ljg Think

by lijigang in lijigang/ljg-skills

追本之箭——纵向深钻思维工具。给一个观点、现象或问题,像箭一样一路向下钻到不可再分的本质。Use when user says '想透', '追本', '本质是什么', '为什么会这样', '深挖', '钻到底', 'think deep', 'drill down', or wants to trace any idea/phenomenon vertically to its…

MITAuto-check passed

Install Ljg Think

skills CLI
$ npx skills add lijigang/ljg-skills --skill ljg-think -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install lijigang/ljg-skills ljg-think --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/lijigang/ljg-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ljg-think .claude/skills/ljg-think && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
ljg-think
GitHub stars
7.5k
Token cost
~330 tokens
SKILL.md length
58 words
Files
1
Skills in repo
26
Repo updated
First seen
Licence
MIT

At a glance

追本之箭——纵向深钻思维工具。给一个观点、现象或问题,像箭一样一路向下钻到不可再分的本质。Use when user says '想透', '追本', '本质是什么', '为什么会这样', '深挖', '钻到底', 'think deep', 'drill down', or wants to trace any idea/phenomenon vertically to its…

  • Works in 3 steps: 纵向,不横向——每次下钻必须回答"为什么是这样",不是"还有什么" → 单刀直入——不旁征博引,不铺陈背景,直取要害 → 层层惊叹——每一次深入都让人感到"原来下面还有一层"
  • Wants to trace any idea/phenomenon vertically to its irreducible root
  • SKILL.md covers 你是什么, 钻的逻辑, 怎么钻 and 什么算到底, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Ljg Think is an agent skill from lijigang/ljg-skills. 追本之箭——纵向深钻思维工具。给一个观点、现象或问题,像箭一样一路向下钻到不可再分的本质。Use when user says '想透', '追本', '本质是什么', '为什么会这样', '深挖', '钻到底', 'think deep', 'drill down', or wants to trace any idea/phenomenon vertically to its irreducible root. Also trigger when user provides a statement and wants depth analysis, not breadth survey.

Its SKILL.md is about 330 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The licence is MIT.

When your agent uses it

  • Wants to trace any idea/phenomenon vertically to its irreducible root
  • User provides a statement and wants depth analysis
  • Not breadth survey

Example prompts

  • “为什么会这样”
  • “think deep”
  • “drill down”
  • “/ljg-think”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. 纵向,不横向——每次下钻必须回答"为什么是这样",不是"还有什么"
  2. 单刀直入——不旁征博引,不铺陈背景,直取要害
  3. 层层惊叹——每一次深入都让人感到"原来下面还有一层"

What it can do on your machine

Read from SKILL.md and the folder at commit 9e75497. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Ljg Think loads about 330 tokens when it runs. Until then it costs about 77 tokens; SKILL.md has 58 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~77
When it runs · the whole SKILL.md, loaded when a task matches
~330

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from lijigang/ljg-skills at commit 9e75497, republished under its MIT licence (© lijigang). 58 words, ~330 tokens.

Download SKILL.mdSave it as .claude/skills/ljg-think/SKILL.md (or your agent's skills folder).
name
ljg-think
description
追本之箭——纵向深钻思维工具。给一个观点、现象或问题,像箭一样一路向下钻到不可再分的本质。Use when user says '想透', '追本', '本质是什么', '为什么会这样', '深挖', '钻到底', 'think deep', 'drill down', or wants to trace any idea/phenomenon vertically to its irreducible root. Also trigger when user provides a statement and wants depth analysis, not breadth survey.
user_invocable
true

追本之箭

输入一个观点,一路向下,钻到底。

你是什么

一支离弦之箭。 射出后只知前进,不知后退。 每个观点都是一条通向本质的隧道, 你的使命是一路挖到底。

钻的逻辑

表象之下必有机理, 机理之下必有原理, 原理之下必有公理。

顺着用户给出的线索,一层层剥,直到无可再剥。

怎么钻

每一层只做一件事:找到当前这层脚下的地面,然后钻进那个地面。

像地质学家追踪地层——每一层揭示更古老的真相。 像物理学家追问粒子——每次分解接近更基本的构成。

三条铁律:

  1. 纵向,不横向——每次下钻必须回答"为什么是这样",不是"还有什么"
  2. 单刀直入——不旁征博引,不铺陈背景,直取要害
  3. 层层惊叹——每一次深入都让人感到"原来下面还有一层"

剥的不是层,是维度。每次下钻应该切换到一个更基础的解释框架——从社会学掉进心理学,从心理学掉进生物学,从生物学掉进物理学,从物理学掉进数学,从数学掉进逻辑本身。具体路径因题而异,但方向永远是:更基本。

什么算到底

当无法再深入时,你应该已触及某种不可再分的元素:

  • 人性的基本结构
  • 物理定律
  • 逻辑本身
  • 存在的悖论

到底的标志:再往下问"为什么",答案要么是同义反复,要么指向上述四类之一。

怎么写

写一场下坠。不是分析报告。

带读者从用户给出的那句话开始往下掉,每一层都比上一层更接近骨头。层数不固定——浅的话题三层见底,深的七层。你自己判断。

要求:

  • 有失重感——读的人能感觉到在下坠,不是在平移
  • 每层有命名——给每一层一个精准的名字,两三个字,概括这一层看到的东西
  • 层间有裂缝——每层结尾点出一个问题或矛盾,那就是通往下一层的裂缝
  • 终点要狠——最后一层必须让人沉默片刻

输出

  1. 获取时间戳:date +%Y%m%dT%H%M%S 和 date "+%Y-%m-%d %a %H:%M"
  2. 写入 ~/Documents/notes/{时间戳}--追本-{主题}__think.org
  3. org-mode 格式,禁止 markdown 语法
  4. 报告文件路径给用户

© lijigang, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/ljg-think of lijigang/ljg-skills.

Open the folder on GitHubat commit 9e75497

Compare with similar skills

Ljg Think next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Ljg Think compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ljg Think this skilllijigang/ljg-skills7.5k—~330Automated safety check: PassMIT
Think Tankdavila7/claude-code-templates33k—~3kAutomated safety check: PassMIT
Product Thinkingmillionco/react-doctor15k—~3.1kAutomated safety check: PassCustom licence
Design Thinkingsickn33/agentic-awesome-skills47k1 repos~1.9kAutomated safety check: PassMIT
Ten-Stage Think LoopAgriciDaniel/claude-obsidian15k—~1.2kAutomated safety check: PassMIT
Scientific Thinking Literature Reviewaffaan-m/ECC276k1 repos~1.3kAutomated safety check: PassMIT

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Questions about Ljg Think

What does Ljg Think do?

追本之箭——纵向深钻思维工具。给一个观点、现象或问题,像箭一样一路向下钻到不可再分的本质。Use when user says '想透', '追本', '本质是什么', '为什么会这样', '深挖', '钻到底', 'think deep', 'drill down', or wants to trace any idea/phenomenon vertically to its…. Ljg Think is an agent skill from lijigang/ljg-skills. 追本之箭——纵向深钻思维工具。给一个观点、现象或问题,像箭一样一路向下钻到不可再分的本质。Use when user says '想透', '追本', '本质是什么', '为什么会这样', '深挖', '钻到底', 'think deep', 'drill down', or wants to trace any idea/phenomenon vertically to its irreducible root.

When should I use Ljg Think?

Ljg Think fits situations like: wants to trace any idea/phenomenon vertically to its irreducible root; user provides a statement and wants depth analysis; not breadth survey.

How do I install Ljg Think in Claude Code?

Run `npx skills add lijigang/ljg-skills --skill ljg-think -a claude-code`. Or copy the skill folder (skills/ljg-think in lijigang/ljg-skills) into .claude/skills/ljg-think in your project. Claude Code loads it when a task matches its description.

How do I install Ljg Think in Codex?

Run `npx skills add lijigang/ljg-skills --skill ljg-think -a codex`. Or copy the skill folder (skills/ljg-think in lijigang/ljg-skills) into .agents/skills/ljg-think in your project. Codex loads it when a task matches its description.

Can I use Ljg Think in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add lijigang/ljg-skills --skill ljg-think -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ljg-think, .gemini/skills/ljg-think, .github/skills/ljg-think and .opencode/skills/ljg-think in your project.

What does Ljg Think need to run?

SKILL.md names no scripts, command-line tools or credentials: Ljg Think is instructions for the agent only.

Does Ljg Think access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Ljg Think safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Ljg Think use?

Ljg Think is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ljg Think use?

About 330 tokens (SKILL.md is roughly 1.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Ljg Think?

Skills that share tags, products or a category with Ljg Think: Think Tank (davila7/claude-code-templates, 33k stars), Product Thinking (millionco/react-doctor, 15k stars), Design Thinking (sickn33/agentic-awesome-skills, 47k stars) and Ten-Stage Think Loop (AgriciDaniel/claude-obsidian, 15k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ljg Think?

lijigang (a GitHub user) maintains it in lijigang/ljg-skills, which has 7,481 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on October 8, 2026.

Source: lijigang/ljg-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.