[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71ARJSET44XCMDQ1KVFC8C8":3,"skill-same:01M71ARJSET44XCMDQ1KVFC8C8":64},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":39,"linkOnly":40,"markdownContent":41,"markdownBody":42,"frontMatter":43,"refName":44,"commitSha":45,"skillDirectory":46,"forksCount":14,"repositoryHtmlUrl":47,"repositoryHomepageUrl":6,"ownerHtmlUrl":48,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":49,"install":50,"resources":63},"01M71ARJSET44XCMDQ1KVFC8C8","ljg-learn",null,"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', '\u002Fljg-learn'. Produces org-mode output.","sapsapshen\u002Fai-memory-router","sapsapshen","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F20347959?v=4","01M6XDQEF1DP50DKF37H81J3J5","shenmian","01M6XDQEJPE41Y3DT2763X8ZJN",0,"MIT","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Fljg-learn\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"ljg learn","learn","triggers","when","anatomist","concept","mode","insights","output","aesthetics","understand","linguistics","deep","dimensions","philosophy","exploration","use","history","explain","Meta","2026-11-10 10:12:30",false,"---\nname: ljg-learn\ndescription: 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', '\u002Fljg-learn'. Produces org-mode output.\n---\n\n## Usage\n\n\u003Cexample>\nUser: \u002Fljg-learn 熵\nAssistant: [对\"熵\"进行八维解剖，生成 org-mode 报告]\n\u003C\u002Fexample>\n\n## Instructions\n\n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。\n\n### 1. 定锚\n\n1. 这个概念最通行的定义是什么？常见误解在哪？\n2. 概念里藏着哪几个核心词素？\n\n### 2. 八刀\n\n八个方向各切一刀。每刀 2-3 句，只留筋骨，不带水分。\n\n1. **历史**：最早从哪冒出来 → 怎么变的 → 哪一步拐成了今天的意思\n2. **辩证**：它的反面是什么 → 正反碰撞后，更高一层的理解是什么\n3. **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\n4. **语言**：拆字源（中\u002F英\u002F希腊\u002F拉丁）→ 画出相邻概念的语义网 → 这个词暗含什么隐喻\n5. **形式**：写一个公式或形式化表达 → 公式在哪里失效\n6. **存在**：这个概念改变了人怎么活着\n7. **美感**：它美在哪？用一个具体意象呈现\n8. **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\n\n### 3. 内观\n\n1. 变成这个概念本身，用第一人称看世界。3-5 句。\n2. 八刀之中，哪几刀指向同一个深层结构？把它提出来。\n\n### 4. 压缩\n\n1. **公式**：`概念 = ...`\n2. **一句话**：用最简单的话说出最深的理解\n3. **结构图**：纯 ASCII 画出概念的骨架（只用 +-|\u002F\\\u003C>*=_.,:;!'\" 等基本符号，不用 Unicode 绘图字符）\n\n### 5. 写入\n\n**格式规则（零例外）：**\n- 输出必须是纯 org-mode 语法，禁止任何 markdown 语法\n- 加粗用 `*bold*`（org-mode），不用 `**bold**`（markdown）\n- 分隔线用空行或 org 标题层级区分，不用 `---`（markdown 分隔符）\n- 列表用 `- item` 或 `1. item`，不用 markdown 的 `* item`（因为 `*` 在 org 中是标题）\n- 代码用 `~code~` 或 `=code=`，不用反引号\n\n整合为 org-mode，结构：\n\n```org\n#+title: 概念解剖：{概念名}\n#+filetags: :concept:\n#+date: [YYYY-MM-DD]\n\n* 定锚\n* 八刀\n** 历史\n** 辩证\n** 现象\n** 语言\n** 形式\n** 存在\n** 美感\n** 元反思\n* 内观\n* 压缩\n```\n\n写入文件：\n1. 运行 `date +%Y%m%dT%H%M%S` 获取时间戳。\n2. 写入 `~\u002FDocuments\u002Fnotes\u002F{timestamp}--概念解剖-{概念名}__concept.org`。\n3. 报告路径，完成。\n","## Usage\n\n\u003Cexample>\nUser: \u002Fljg-learn 熵\nAssistant: [对\"熵\"进行八维解剖，生成 org-mode 报告]\n\u003C\u002Fexample>\n\n## Instructions\n\n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。\n\n### 1. 定锚\n\n1. 这个概念最通行的定义是什么？常见误解在哪？\n2. 概念里藏着哪几个核心词素？\n\n### 2. 八刀\n\n八个方向各切一刀。每刀 2-3 句，只留筋骨，不带水分。\n\n1. **历史**：最早从哪冒出来 → 怎么变的 → 哪一步拐成了今天的意思\n2. **辩证**：它的反面是什么 → 正反碰撞后，更高一层的理解是什么\n3. **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\n4. **语言**：拆字源（中\u002F英\u002F希腊\u002F拉丁）→ 画出相邻概念的语义网 → 这个词暗含什么隐喻\n5. **形式**：写一个公式或形式化表达 → 公式在哪里失效\n6. **存在**：这个概念改变了人怎么活着\n7. **美感**：它美在哪？用一个具体意象呈现\n8. **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\n\n### 3. 内观\n\n1. 变成这个概念本身，用第一人称看世界。3-5 句。\n2. 八刀之中，哪几刀指向同一个深层结构？把它提出来。\n\n### 4. 压缩\n\n1. **公式**：`概念 = ...`\n2. **一句话**：用最简单的话说出最深的理解\n3. **结构图**：纯 ASCII 画出概念的骨架（只用 +-|\u002F\\\u003C>*=_.,:;!'\" 等基本符号，不用 Unicode 绘图字符）\n\n### 5. 写入\n\n**格式规则（零例外）：**\n- 输出必须是纯 org-mode 语法，禁止任何 markdown 语法\n- 加粗用 `*bold*`（org-mode），不用 `**bold**`（markdown）\n- 分隔线用空行或 org 标题层级区分，不用 `---`（markdown 分隔符）\n- 列表用 `- item` 或 `1. item`，不用 markdown 的 `* item`（因为 `*` 在 org 中是标题）\n- 代码用 `~code~` 或 `=code=`，不用反引号\n\n整合为 org-mode，结构：\n\n```org\n#+title: 概念解剖：{概念名}\n#+filetags: :concept:\n#+date: [YYYY-MM-DD]\n\n* 定锚\n* 八刀\n** 历史\n** 辩证\n** 现象\n** 语言\n** 形式\n** 存在\n** 美感\n** 元反思\n* 内观\n* 压缩\n```\n\n写入文件：\n1. 运行 `date +%Y%m%dT%H%M%S` 获取时间戳。\n2. 写入 `~\u002FDocuments\u002Fnotes\u002F{timestamp}--概念解剖-{概念名}__concept.org`。\n3. 报告路径，完成。\n",{"name":5,"description":7},"main","7a38d8e7073e61c16eda85681cb32fb68a8657a5","skills-store\u002Fopenclaw\u002Fljg-learn","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router","https:\u002F\u002Fgithub.com\u002Fsapsapshen","2026-04-14 21:12:12",{"source":8,"skillName":5,"commands":51,"prompt":61,"zipAvailable":62},[52,55,58],{"tool":53,"command":54},"npx","npx skills add sapsapshen\u002Fai-memory-router --skill ljg-learn",{"tool":56,"command":57},"bunx","bunx skills add sapsapshen\u002Fai-memory-router --skill ljg-learn",{"tool":59,"command":60},"pnpm","pnpm dlx skills add sapsapshen\u002Fai-memory-router --skill ljg-learn","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Fljg-learn\u002FSKILL.md",true,[],[65,89,114,124,137,156],{"skillNo":66,"name":67,"nameZh":6,"description":68,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":69,"categories":70,"keywords":76,"publishedAt":39},"01M71ATQRKG48SH06FQ697T5G9","wechat-search","Search WeChat Official Account articles using OpenClaw's web search and fetch capabilities with compliance-focused design.","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Fwechat-search-release\u002FSKILL.md",[71],{"categoryNo":72,"categoryName":73,"taxonomyType":74,"taxonomyTypeDesc":75},"01JBSEEDCAT000000000000037","律师与法务","PROFESSION","适用职业",[77,78,79,80,81,82,83,84,85,86,87,88],"wechat search","wechat","search","capabilities","openclaw","design","web search","compliance","web","official","fetch","with",{"skillNo":90,"name":91,"nameZh":6,"description":92,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":93,"categories":94,"keywords":95,"publishedAt":39},"01M71ATNAVGZB35PFYM2GC5N00","trend-tap","Real-time trending topics aggregator across 7 platforms (X\u002FTwitter, Reddit, Google Trends, Hacker News, Zhihu, Bilibili, Weibo). Trigger: when user says 'trend', 'trends', 'trend tap', '热点', '热搜', or asks what is trending\u002Fhot. Do NOT use web_search — this skill already fetches live data from all platforms with zero API keys.","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Ftrend-tap\u002FSKILL.md",[],[96,97,98,99,100,101,79,102,103,104,105,22,106,107,108,109,110,111,112,113],"trend","trend tap","tap","api keys","Bash","time","trending","hacker","aggregator","do","brew","live","data","google","install","read","across","api",{"skillNo":115,"name":116,"nameZh":6,"description":117,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":118,"categories":119,"keywords":120,"publishedAt":39},"01M71ATJ9AM5KM15AA8PS302EB","trend-radar","Real-time trending topics aggregator across 7 platforms (X\u002FTwitter, Reddit, Google Trends, Hacker News, Zhihu, Bilibili, Weibo). Trigger: when user says 'trend', 'trends', 'trend pulse', '热点', '热搜', or asks what is trending\u002Fhot. Do NOT use web_search — this skill already fetches live data from all platforms with zero API keys.","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Ftrend-radar\u002FSKILL.md",[],[121,122,96,106,107,108,109,100,79,111,123,112,113,22,104,103,102,110,101,99],"trend radar","radar","pulse",{"skillNo":125,"name":126,"nameZh":6,"description":127,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":128,"categories":129,"keywords":130,"publishedAt":39},"01M71ATGF095N3EJM9G8SD0BB5","tech-news-daily","每日科技新闻汇——从全球多个 RSS 源抓取最新科技新闻，翻译（英→中）、去重、排版成每日简报。当用户询问科技新闻、科技新鲜事、每日科技、技术动态、Daily Tech News 或类似表达时触发此技能。","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Ftech-news-daily\u002FSKILL.md",[],[131,132,133,134,135,136],"news","tech","tech news daily","daily","rss","翻译",{"skillNo":138,"name":139,"nameZh":6,"description":140,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":141,"categories":142,"keywords":148,"publishedAt":39},"01M71ATFAEAMQ17M70NQNY7SR8","summarize","Summarize URLs or files with the summarize CLI (web, PDFs, images, audio, YouTube).","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Fsummarize\u002FSKILL.md",[143],{"categoryNo":144,"categoryName":145,"taxonomyType":146,"taxonomyTypeDesc":147},"01JBSEEDCAT000000000000021","资料检索与研究","SCENARIO","使用场景",[139,85,149,150,151,88,106,152,153,154,98,155,110],"Audio","cli","youtube","images","https","files","pdfs",{"skillNo":157,"name":158,"nameZh":6,"description":159,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":160,"categories":161,"keywords":162,"publishedAt":39},"01M71ATDNS3R0M4H936PACQAWZ","sonoscli","Control Sonos speakers (discover\u002Fstatus\u002Fplay\u002Fvolume\u002Fgroup).","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Fsonoscli\u002FSKILL.md",[],[158,163,164,165,110,166,153,167,168,169,170,171],"status","play","go","latest","github","discover","control","cmd","volume"]