ljg-skills

盲区扫描——读昨天你与 AI 的全部对话，照出暴露的思维盲区（不是不懂的知识，是让某类真相一直看不见的思维习惯），再从微信读书挑一本书的一章精准补上，落成一篇完整分析笔记。Use when user says '扫盲区', '盲区', '照盲区', '看看我的思维盲区', '我昨天想漏了什么', 'blind spot', 'ljg-blind', '/ljg-blind', or wants yesterday's AI conversations analyzed for cognitive blind spots plus a targeted weread chapter to fill them. 可选参数：传一个日期(YYYY-MM-DD)扫那天而非昨天。NOT FOR 纵向深钻一个观点（用 ljg-think）、一个领域降秩（用 ljg-rank）、陪读一篇文本（用 ljg-read）、找一个领域的约束（用 ljg-constraint）。

把 ~/.agents/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.

找出一段信息中母题级别的结构，用简洁因果骨架说明结构关系，再通过风洞推演缺失后果与最小可逆实验。USE WHEN user says '找结构', '母题是什么', '结构风洞', '背后的结构', '不要只做AB测试', or wants the generative mechanism beneath a problem. 仅当用户明确要求时展开跨域来源或多母题组合。NOT FOR 普通摘要、单个类比、事实查询或已有明确唯一解的执行题。

Paper reader for non-academics. Turns one paper into one clear proposition: the problem, the paper's insight, and the judgment or action the reader can carry away. USE WHEN the user shares an arXiv link OR paper URL OR PDF OR local paper file OR paper title, or asks to read, explain, analyze, or understand a paper. Defaults to a saved org note. NOT FOR experiment reproduction, exhaustive method summaries, formal peer review, benchmark tables, or literature surveys.

Book reader that reconstructs a book as x -> f -> f(x): the problem it addresses, the author's central answer, and how that answer changes judgment or action. USE WHEN the user gives a book title, PDF, excerpt, or asks 拆书, 分析这本书, 这本书在讲什么, 压缩一本书, or book. Defaults to a saved org note. NOT FOR chapter summaries, framework audits, papers, single-idea deep dives, or field ranking.

演讲铸造器（Outline-Faithful）。把 orgmode/markdown outline 1:1 铸成单文件离线 HTML；支持 black/red/yellow、浅色 hacker 与暗色 hacker-dark，自动处理标题封面、多行密度布局、表格、ASCII、LaTeX、自适应与翻页笔。USE WHEN 用户要求讲这个、present、做成演讲、slides、标语流、宣言体、slogan、manifesto、按 outline 美化。NOT FOR 内容提炼、改写或企业 PPT。

一本书 → 一幅清晰的「取景框」意向画面 → 一张 2050 图书馆借书卡（PNG）。取景框 = 作者从哪个角度看什么问题、看到了哪幅画面；卡上有真实封面、作者头像、书目信息。取景框 block 用费曼式讲解把这幅意向画面讲得通俗又准确；图解 block 用 AI 生图把这幅画面画出来，继刚是固定主角（从其墨像参考生成、认得出的他）。图解风格：吉田诚治式绘本感（异世界日常空间、暖光斜射、治愈又精致）。浅色光学玻璃卡身、强调色从封面动态提取、宽高自适应。合上书记住这幅画面，就没白读。Use when user says '取景框卡', '图书馆卡', 'library card', '书卡', '铸书卡', '一本书一句话一张卡', '/ljg-library', or provides a book name and wants it distilled into one collectible card. NOT FOR 拆书结构分析（用 ljg-book）、纯文字金句（用 ljg-card -b）、信息图（用 ljg-card -i）、视觉笔记（用 ljg-card -v）。

给一个领域、专业、角色、产品或争论找出真正框住它的几条约束，判明它们属于世界/规则/解释（硬/软/自设），看这组约束如何定义身份、补全问题、框出解空间并解释实际行为；尤其用于区分目标相同但约束不同导致的方案分歧，识别被误当硬事实的旧解释。USE WHEN 用户说 '约束', '找约束', '这个领域的约束是什么', '本质约束', '什么框住了它', '硬约束还是自设约束', '边界在哪', '这行为什么这么做', 'constraint', '/ljg-constraint', or gives any domain/profession/role/product/debate and wants its defining constraints and solution space mapped. NOT FOR 往下挖生成器（用 ljg-rank，找的是生成力不是边界）、纵向深钻一个观点到底（用 ljg-think）、拆一本书（用 ljg-book）、一个概念解剖（用 ljg-learn）。

一个行业 → 一张生态地形图卡（PNG）。以《千脑智能》参考系理论为地基：把行业摊成一张可俯瞰的「生态地形」——价值像河一样流过地貌，再在地形上标出两处——「瓶颈」（流量/产能在此收窄的隘口/水坝）和「价值捕获点」（利润在此沉淀的宝藏堆）。地形让权力结构一眼可见：卡流量的地方常常不是钱沉淀的地方。配三个关键指标的 base rate（刻度）+ 三个「大问题」（前沿）。deep research 真联网，图用 AI 生图（默认 -a 吉田诚治式绘本画风，与 ljg-library 同源；可选 -c pixel+cyber），继刚作小测量员立在地形上俯瞰。Use when user says '行业地图', '产业地图', '生态地形图', '画一下这个行业', 'industry map', 'map this industry', '行业版图', '产业链地图', '/ljg-map', or gives an industry/领域 name wanting its terrain mapped. 风格：默认 -a 绘本（同 ljg-library），加 -c 走 cyber。NOT FOR 一个领域降秩找生成器（用 ljg-rank）、拆一本书（用 ljg-book）、单个项目投资分析（用 ljg-invest）、一个概念深钻（用 ljg-think）。

投资分析。给一个项目（公司名、BP、创始人对话记录），写一份深度投资分析报告。不走传统投资分析的路——核心判断只有一个：这个项目是不是一台「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.

Content 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.

一个议题，一场圆桌：主持人请来 3-5 位真实人物，定义开场，逐轮交锋， 每轮收一张 ASCII 结构图，用户用指令控节奏（可/止/深入此节/引入新人物）， 散场后全文存入 org 笔记。Use when user says "圆桌讨论", "圆桌", "roundtable", "辩论", or wants to explore a topic through multi-perspective structured debate.

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.

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.

写作引擎。像手术刀剖开一个观点，一层层剥到底。1000-1500 字。

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.

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.

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.

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.

Cognitive atom: Plain (白). Rewrites any content so a smart 12-year-old groks it. Structure-free — form follows content. Use when user says '白话说', '说人话', '解释一下', 'plain', 'grok'.

Deep-dive English word mastery tool. Deconstructs a single English word into core semantics and epiphany. Use when user asks to explain/master a specific English word.