By lijigang
Automate deep processing of research papers, arXiv links, PDFs, ideas, and text into structured Org-mode notes with philosophical deconstructions, Feynman lineages, simplified explanations, and visual PNG sketchnotes; generate Takahashi HTML presentations, roundtable debates with historical figures, and infographic word breakdowns.
npx claudepluginhub lijigang/ljg-skills --plugin ljg-skillsContent caster (铸). Transforms content into PNG visuals. Seven molds: -l (default) long reading card, -i infograph, -m multi-card reading cards (1080x1440), -v editorial sketchnote (problem→failure→pivot→insight→naming, magazine + archive layout), -c comic (manga-style B&W), -w whiteboard (marker-style board layout), -b big-fonts attachment card (1080x1440, weathered 碑刻 style for 小红书). Output to ~/Downloads/. Use when user says '铸', 'cast', '做成图', '做成卡片', '做成信息图', '做成海报', '视觉笔记', 'sketchnote', '杂志', 'editorial', '漫画', 'comic', 'manga', '白板', 'whiteboard', '大字', '附件图', 'big fonts', '小红书卡片'. Replaces ljg-cards and ljg-infograph.
投资分析, 生成一份深度投资分析报告。不做传统投资分析——核心判断是项目是否是一台「秩序创造机器」。Use when user says '投资报告', '投资分析', '分析这个项目', '写投资报告', 'investment report', 'invest analysis', or provides entrepreneur conversation records wanting investment evaluation. Also trigger when user pastes or references meeting notes, pitch decks, or founder interviews and asks for analysis.
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.
Paper workflow: read papers + cast cards in one go. Takes one or more arxiv links, paper URLs, PDFs, or paper names. For each paper, runs ljg-paper (generates org analysis) then ljg-card -v (generates visual sketchnote PNG). Use when user says '论文流', 'paper flow', '读论文并做卡片', '论文卡片', or provides multiple papers wanting both analysis and cards.
论文倒读法：给一篇论文，递归找出它批判和改进的前序论文（最多5层），再找它之后的最新进展，从源头正向讲述问题演化史。以问题为轴，费曼式讲解每篇论文看到的问题和解法创新。Use when user shares a paper and wants to understand its intellectual lineage, citation chain, problem evolution, or says '倒读', '论文溯源', '论文脉络', 'paper river', 'paper connects', 'trace back', '这篇论文的来龙去脉', '论文演化'. Also trigger when user wants to understand how a research problem evolved across multiple papers.
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演讲铸造器。两种风格：默认高桥流（一页一词、墨字奶白底、单字撑满屏），-s 标语流（口号体宣言风、黑红黄大色块、ultra-bold 错位多行、含休止页）。使用时用户会说：'高桥流'、'讲这个'、'present'、'做成演讲'、'做个高桥流 PPT'、'呈现一下'、'铸成演示'、'做个 slides'；或加 -s：'标语流'、'宣言体'、'slogan'、'manifesto'、'红黑流'、'big studios 风'。输出单文件 HTML 到 ~/Downloads/。
把 ~/.claude/skills/ljg-* 里所有更新过的 skills 同步到 github repo (ljg-skills)，先推 master 分支（org-mode 输出风格），再切 md 分支（markdown 输出风格）做基础 markdown 化后推。Use when user says '/ljg-push', 'push skills', '推送 skills', '同步 skills', 'sync ljg', or whenever ljg-* skills get updated and need shipping. NOT FOR pushing non-ljg skills or arbitrary git repos.
信息提问机。给一篇文章/论文/书，把核心观点抽成 Q-A 对——Question 切要害，不教科书；Answer 简洁清晰，有形式化收口，逻辑链完整。读者顺 Q 链走过，每个 A 砸下一枚钉子，复现作者整套推理。Use when user says '问答', 'Q&A', 'QA', '提问', '抽取问题', '/ljg-qa', or shares an article/paper/book and asks for Q-A extraction. Triggers when the user wants ideas extracted not as a summary but as a sequence of incisive questions with answered. NOT FOR FAQ generation, glossary creation, or comprehension quizzes — this is intellectual scaffolding, not study aids.
给一个领域，找出背后真正撑着它的几根独立的力。十几个现象砍到不可再少的生成器——砍完能把现象一个个生回来，才算数。Use when user says '降秩', '找秩', '秩是什么', '这个领域靠什么撑着', '背后是什么', or wants to decompose any domain to its irreducible generators.
Reading companion agent. Accompanies user through any text (books, articles, essays, papers, news) with translation, structural annotation, deep questioning, and cross-domain insights. Detects language, translates English to Chinese (faithfulness-expressiveness-elegance), guides reader to understand the author and encounter real questions. Use when user says '伴读', '陪我读', '读这篇', 'read with me', 'companion read', or shares a text/URL wanting guided reading.
Relationship analyst combining structural diagnostics (5-layer framework) with psychoanalytic depth (transference, unconscious patterns, resistance). Guides users through dialogue to "see" the real structure of their relationship issues. Use when user says "关系分析", "分析关系", "relationship", "人际关系", or describes a specific relationship problem they want to understand.
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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.
Deep travel research workflow for museums and ancient architecture. Input a city name, auto-generates structured knowledge document (org-mode) + portable reference cards (PNG). Covers historical background, museum highlights, archaeological significance, and architectural heritage. Use when user says '旅行研究', '博物馆功课', '古建功课', 'travel research', '出发前功课', or provides a city name with intent to do deep cultural travel preparation.
Word flow: deep-dive word analysis + infograph card in one go. Takes one or more English words, runs ljg-word (generates deep semantics analysis) then ljg-card -i (generates infograph PNG). Use when user says '词卡', 'word card', 'word flow', or provides English words wanting both analysis and visual card.
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写作引擎。像手术刀剖开一个观点，一层层剥到底。1000-1500 字。
我的 Claude Code 自定义技能集。
使用 skills CLI（基于 npx）一行安装：
# 安装全部技能（全局，org-mode 格式）
npx skills add lijigang/ljg-skills -g --all
# 安装全部技能（Markdown 格式，适用于 Obsidian / VSCode / Notion 等）
npx skills add lijigang/ljg-skills#md -g --all
# 安装单个技能
npx skills add lijigang/ljg-skills -g --skill ljg-card
# 安装单个技能（Markdown 格式）
npx skills add lijigang/ljg-skills#md -g --skill ljg-card
# 安装多个指定技能
npx skills add lijigang/ljg-skills -g --skill ljg-card --skill ljg-learn
# 查看仓库中有哪些技能
npx skills add lijigang/ljg-skills -l
参数说明：
| 参数 | 作用 |
|---|---|
-g | 全局安装到 ~/.claude/skills/（推荐）。不加则装到当前项目 .claude/skills/ |
--skill <name> | 指定安装某个技能，可重复使用 |
--all | 安装仓库内全部技能 |
#md | 从 md branch 安装 Markdown 格式版本（默认为 org-mode） |
-l | 仅列出可用技能，不安装 |
ljg-card 依赖 Playwright 截图，安装后需额外执行：
cd ~/.claude/skills/ljg-card && npm install && npx playwright install chromium
# org-mode 版本
git clone https://github.com/lijigang/ljg-skills.git ~/.claude/plugins/ljg-skills
# Markdown 版本
git clone -b md https://github.com/lijigang/ljg-skills.git ~/.claude/plugins/ljg-skills
| 技能 | 说明 |
|---|---|
| ljg-card | 内容铸卡 — 将内容转为 PNG 视觉卡片（长图 -l、信息图 -i、多卡 -m、视觉笔记 -v、漫画 -c、白板 -w、大字 -b） |
| ljg-learn | 概念解剖 — 从八个方向切开一个概念（历史、辩证、现象、语言、形式、存在、美感、元反思），压成一句顿悟 |
| ljg-paper | 论文阅读 — 为非学术人士提取论文核心想法，重理解不重批判 |
| ljg-paper-river | 论文溯源 — 倒读法，递归挖前序论文（最多5层）+ 最新进展，从源头讲述问题演化史 |
| ljg-qa | 信息提问机 — 把文章/论文/书的核心观点抽成 Q-A 链，Q 切要害，A 四段（结论 / 形式化 / 步骤 / 边界） |
| ljg-plain | 白话引擎 — 把任何内容改写到聪明的十二岁小孩也能懂 |
| ljg-rank | 降秩引擎 — 给一个领域，找出背后不可再少的独立生成器 |
| ljg-think | 追本之箭 — 给一个观点或现象，纵向深钻到不可再分的本质 |
| ljg-word | 单词精通 — 深度拆解一个英语单词的核心语义和顿悟时刻 |
| ljg-writes | 写作引擎 — 像手术刀剖开一个观点，一层层剥到底。1000-1500 字 |
| ljg-invest | 投资分析 — 核心判断项目是否是一台「秩序创造机器」 |
| ljg-read | 伴读 — 陪你读任何文本，英文三层翻译（信达雅）+ 结构标注 + 深度提问 + 跨领域旁逸 |
| ljg-relationship | 关系分析 — 五层结构诊断 + 精神分析，通过对话引导帮用户"看见"关系真实结构 |
| ljg-roundtable | 圆桌讨论 — 求真导向的结构化多人辩证对话，每轮生成 ASCII 思考框架图 |
| ljg-travel | 旅行研究 — 输入城市名，生成深度文化研究文档（org-mode）+ 便携卡片（PNG） |
| ljg-skill-map | 技能地图 — 扫描所有已安装技能，渲染可视化总览 |
| ljg-present | 演讲铸造器 — 默认高桥流（一页一关键词、奶白底墨字）；-s 标语流（VACAT/BIG STUDIOS 风：黑红双色块、ultra-bold、完整断言句撑屏） |
| ljg-push | 推送引擎 — 把本地 ~/.claude/skills/ljg-* 一键同步到 github repo（master + md 双分支） |
工作流将多个技能串联为一个命令。
| 工作流 | 技能链 | 说明 |
|---|---|---|
| ljg-paper-flow | ljg-paper → ljg-card -c | 读论文 + 做漫画卡片一气呵成 |
| ljg-word-flow | ljg-word → ljg-card -i | 单词深度分析 + 信息图卡片一气呵成 |
技能提供两种输出格式，通过不同 branch 安装，功能完全相同：
| Branch | 格式 | 适用场景 |
|---|---|---|
master（默认） | Org-mode（.org） | Emacs / Denote 用户 |
md | Markdown（.md） | Obsidian / VSCode / Notion 等 Markdown 生态用户 |
LLM-maintained knowledge base skill — structured wiki with Obsidian, milestone-based source clustering, proactive write-back, and autonomous lint
Share bugs, ideas, or general feedback.
9 research-hub skills: literature search, comparison matrix, planning manifests, design dialog, multi-AI routing, NotebookLM brief verification, paper-memory builder, Zotero curator. Auto-discovered from skills/<name>/SKILL.md.
学习场景：课堂笔记整理、复习重点提取、知识卡片、错误检查、前置知识补缺、知识网络构建
63 universal AI skills for Claude Code — skill creation, deep research, strategic planning, product management, content processing, UI/UX design, Obsidian knowledge management, and orchestration workflows
Core skills library for Claude Code: TDD, debugging, collaboration patterns, and proven techniques
Plugin-safe Claude Code distribution of Antigravity Awesome Skills with 1,393 supported skills.