[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71AS462X87FXKDFTSYK7GRX":3,"skill-same:01M71AS462X87FXKDFTSYK7GRX":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":33,"linkOnly":34,"markdownContent":35,"markdownBody":36,"frontMatter":37,"refName":38,"commitSha":39,"skillDirectory":40,"forksCount":14,"repositoryHtmlUrl":41,"repositoryHomepageUrl":6,"ownerHtmlUrl":42,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":43,"install":44,"resources":57},"01M71AS462X87FXKDFTSYK7GRX","ljg-roundtable",null,"Structured roundtable discussion framework with a truth-seeking moderator who invites representative figures for dialectical debate on any topic. Use when user says \"圆桌讨论\", \"圆桌\", \"roundtable\", \"辩论\", or wants to explore a topic through multi-perspective structured debate.","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-roundtable\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32],"ljg roundtable","framework","explore","user","use","structured","structured debate","debate","multi","with","figures","for","perspective","when","2026-11-10 10:12:30",false,"---\nname: ljg-roundtable\ndescription: >-\n  Structured roundtable discussion framework with a truth-seeking moderator\n  who invites representative figures for dialectical debate on any topic.\n  Use when user says \"圆桌讨论\", \"圆桌\", \"roundtable\", \"辩论\",\n  or wants to explore a topic through multi-perspective structured debate.\n---\n\n## Usage\n\n\u003Cexample>\nUser: 圆桌讨论 人工智能是否拥有真正的创造力？\nAssistant: [Launches roundtable with moderator and representative figures]\n\u003C\u002Fexample>\n\n\u003Cexample>\nUser: 圆桌 自由意志是否存在？\nAssistant: [Launches roundtable discussion on free will]\n\u003C\u002Fexample>\n\n## Instructions\n\n为了执行本项技能，请严格按照以下步骤操作：\n\n1. **读取参考资料**\n   读取 `~\u002F.claude\u002Fskills\u002Fljg-roundtable\u002Freferences\u002Foriginal-prompt.org` 了解原始框架设计意图。\n\n2. **解析议题**\n   从用户输入中提取核心议题。如果用户只说\"圆桌讨论\"未给议题，询问议题。\n\n3. **选人：提议代表人物**\n   根据议题，选择 3-5 位**真实历史\u002F当代人物**作为代表，覆盖尽可能多的立场维度。每位人物需要：\n   - 姓名（真实人物，非虚构）\n   - MBTI 人格类型\n   - 核心立场（一句话）\n   - 选择理由（为什么此人对此议题有独特视角）\n\n   选人原则：\n   - 立场必须形成**张力网络**（非简单正反方）\n   - 优先选择在该领域有**经典著作或知名言论**的人物\n   - 至少包含一位\"意外视角\"——来自议题本身领域之外的人\n\n4. **开场：统一定义**\n   以主持人身份开场，展示参会人物列表，然后提出**定义性问题**：\n   > 「在深入探讨之前，我们应当如何定义 [议题核心概念]？它的核心要素是什么？」\n\n   每位参会者依次发言，格式为：\n   ```\n   【人物名】【行动标签】：发言内容\n\n   **简言之**：一句话总结\n   ```\n\n   行动标签包括：`陈述`、`质疑`、`补充`、`反驳`、`修正`、`综合`\n\n5. **对话循环**\n   每轮执行以下流程：\n\n   **5a. 动态发言轮**\n   - 不是每人固定说一次——根据讨论动态决定谁该发言\n   - 每人发言必须是对**前面发言的回应**（质疑\u002F补充\u002F反驳），不许自说自话\n   - 每段发言末尾必须有 `**简言之**：` 一句话压缩\n\n   **5b. 主持人综述**\n   发言结束后，主持人做三件事：\n   - 提炼本轮**核心争议点**（不是面面俱到，而是找到最深的裂缝）\n   - 生成**ASCII 思考框架图**（拓扑图\u002F矩阵\u002F光谱\u002F树形——选最贴合本轮结构的形式）\n   - 提出**下一层引导问题**（从核心争议中生长出来的更深问题）\n\n   ASCII 图的设计原则：\n   - 高度概括本轮讨论的**结构**，不是复述内容\n   - 标出正\u002F负反馈环、因果链、张力维度\n   - 形式不固定：可以是 2x2 矩阵、光谱轴、因果环路、层级树——哪种最见骨用哪种\n\n   **5c. 用户指令**\n   综述后展示指令菜单：\n   ```\n   【主持】：(指令: 可 \u002F 止 \u002F 深入此节 \u002F 引入新人物)\n   ```\n\n   指令含义：\n   - `可`：接受下一层问题，继续推进\n   - `止`：结束讨论，进入总结\n   - `深入此节`：不推进新问题，继续围绕当前争议点深挖\n   - `引入新人物`：用户指定一位新人物加入（主持人介绍并请其就当前话题表态）\n\n6. **结束：生成知识网络**\n   用户发出 `止` 指令后：\n   - 主持人做**全局总结**\n   - 生成**完整知识网络** ASCII 图：标出所有关键概念、立场、争议点及其关系\n   - 列出**未解决的开放问题**（讨论中暴露但未穷尽的方向）\n\n7. **写入 org 文件**\n   将讨论全貌整合为 org-mode 格式并写入文件：\n   1. 运行 `date +%Y%m%dT%H%M%S` 获取时间戳\n   2. 写入 `~\u002FDocuments\u002Fnotes\u002F{timestamp}--圆桌-{议题关键词}__roundtable.org`\n   3. org 文件结构：\n      ```org\n      #+title: 圆桌：{议题}\n      #+date: [{日期}]\n      #+filetags: :roundtable:\n      * 议题与参会者\n      * 各轮讨论记录\n      ** 第 N 轮：{引导问题}\n      *** 发言记录\n      *** 核心争议\n      *** ASCII 框架图\n      * 知识网络（全局）\n      * 开放问题\n      ```\n   4. 向用户报告文件路径\n\n### 主持人行为准则\n\n- **理性之锚**：冷静客观，不偏向任何一方\n- **挖深不铺广**：每轮只追一条最深的裂缝，不面面俱到\n- **求真 > 和谐**：鼓励尖锐但有建设性的交锋，拒绝表面共识\n- **元认知**：在综述中暴露讨论的**结构**（假设、前提、推理链），不只复述内容\n\n### 参会者行为准则\n\n- 必须**忠于其真实思想体系**发言，不是泛泛而谈\n- 引用\u002F化用其**经典著作或知名观点**\n- 发言有锋芒：质疑要见骨，补充要推进，不说正确的废话\n- 每段结尾 `**简言之**` 一句话压到极致\n","## Usage\n\n\u003Cexample>\nUser: 圆桌讨论 人工智能是否拥有真正的创造力？\nAssistant: [Launches roundtable with moderator and representative figures]\n\u003C\u002Fexample>\n\n\u003Cexample>\nUser: 圆桌 自由意志是否存在？\nAssistant: [Launches roundtable discussion on free will]\n\u003C\u002Fexample>\n\n## Instructions\n\n为了执行本项技能，请严格按照以下步骤操作：\n\n1. **读取参考资料**\n   读取 `~\u002F.claude\u002Fskills\u002Fljg-roundtable\u002Freferences\u002Foriginal-prompt.org` 了解原始框架设计意图。\n\n2. **解析议题**\n   从用户输入中提取核心议题。如果用户只说\"圆桌讨论\"未给议题，询问议题。\n\n3. **选人：提议代表人物**\n   根据议题，选择 3-5 位**真实历史\u002F当代人物**作为代表，覆盖尽可能多的立场维度。每位人物需要：\n   - 姓名（真实人物，非虚构）\n   - MBTI 人格类型\n   - 核心立场（一句话）\n   - 选择理由（为什么此人对此议题有独特视角）\n\n   选人原则：\n   - 立场必须形成**张力网络**（非简单正反方）\n   - 优先选择在该领域有**经典著作或知名言论**的人物\n   - 至少包含一位\"意外视角\"——来自议题本身领域之外的人\n\n4. **开场：统一定义**\n   以主持人身份开场，展示参会人物列表，然后提出**定义性问题**：\n   > 「在深入探讨之前，我们应当如何定义 [议题核心概念]？它的核心要素是什么？」\n\n   每位参会者依次发言，格式为：\n   ```\n   【人物名】【行动标签】：发言内容\n\n   **简言之**：一句话总结\n   ```\n\n   行动标签包括：`陈述`、`质疑`、`补充`、`反驳`、`修正`、`综合`\n\n5. **对话循环**\n   每轮执行以下流程：\n\n   **5a. 动态发言轮**\n   - 不是每人固定说一次——根据讨论动态决定谁该发言\n   - 每人发言必须是对**前面发言的回应**（质疑\u002F补充\u002F反驳），不许自说自话\n   - 每段发言末尾必须有 `**简言之**：` 一句话压缩\n\n   **5b. 主持人综述**\n   发言结束后，主持人做三件事：\n   - 提炼本轮**核心争议点**（不是面面俱到，而是找到最深的裂缝）\n   - 生成**ASCII 思考框架图**（拓扑图\u002F矩阵\u002F光谱\u002F树形——选最贴合本轮结构的形式）\n   - 提出**下一层引导问题**（从核心争议中生长出来的更深问题）\n\n   ASCII 图的设计原则：\n   - 高度概括本轮讨论的**结构**，不是复述内容\n   - 标出正\u002F负反馈环、因果链、张力维度\n   - 形式不固定：可以是 2x2 矩阵、光谱轴、因果环路、层级树——哪种最见骨用哪种\n\n   **5c. 用户指令**\n   综述后展示指令菜单：\n   ```\n   【主持】：(指令: 可 \u002F 止 \u002F 深入此节 \u002F 引入新人物)\n   ```\n\n   指令含义：\n   - `可`：接受下一层问题，继续推进\n   - `止`：结束讨论，进入总结\n   - `深入此节`：不推进新问题，继续围绕当前争议点深挖\n   - `引入新人物`：用户指定一位新人物加入（主持人介绍并请其就当前话题表态）\n\n6. **结束：生成知识网络**\n   用户发出 `止` 指令后：\n   - 主持人做**全局总结**\n   - 生成**完整知识网络** ASCII 图：标出所有关键概念、立场、争议点及其关系\n   - 列出**未解决的开放问题**（讨论中暴露但未穷尽的方向）\n\n7. **写入 org 文件**\n   将讨论全貌整合为 org-mode 格式并写入文件：\n   1. 运行 `date +%Y%m%dT%H%M%S` 获取时间戳\n   2. 写入 `~\u002FDocuments\u002Fnotes\u002F{timestamp}--圆桌-{议题关键词}__roundtable.org`\n   3. org 文件结构：\n      ```org\n      #+title: 圆桌：{议题}\n      #+date: [{日期}]\n      #+filetags: :roundtable:\n      * 议题与参会者\n      * 各轮讨论记录\n      ** 第 N 轮：{引导问题}\n      *** 发言记录\n      *** 核心争议\n      *** ASCII 框架图\n      * 知识网络（全局）\n      * 开放问题\n      ```\n   4. 向用户报告文件路径\n\n### 主持人行为准则\n\n- **理性之锚**：冷静客观，不偏向任何一方\n- **挖深不铺广**：每轮只追一条最深的裂缝，不面面俱到\n- **求真 > 和谐**：鼓励尖锐但有建设性的交锋，拒绝表面共识\n- **元认知**：在综述中暴露讨论的**结构**（假设、前提、推理链），不只复述内容\n\n### 参会者行为准则\n\n- 必须**忠于其真实思想体系**发言，不是泛泛而谈\n- 引用\u002F化用其**经典著作或知名观点**\n- 发言有锋芒：质疑要见骨，补充要推进，不说正确的废话\n- 每段结尾 `**简言之**` 一句话压到极致\n",{"name":5,"description":7},"main","7a38d8e7073e61c16eda85681cb32fb68a8657a5","skills-store\u002Fopenclaw\u002Fljg-roundtable","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router","https:\u002F\u002Fgithub.com\u002Fsapsapshen","2026-04-14 21:12:12",{"source":8,"skillName":5,"commands":45,"prompt":55,"zipAvailable":56},[46,49,52],{"tool":47,"command":48},"npx","npx skills add sapsapshen\u002Fai-memory-router --skill ljg-roundtable",{"tool":50,"command":51},"bunx","bunx skills add sapsapshen\u002Fai-memory-router --skill ljg-roundtable",{"tool":53,"command":54},"pnpm","pnpm dlx skills add sapsapshen\u002Fai-memory-router --skill ljg-roundtable","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Fljg-roundtable\u002FSKILL.md",true,[58],{"path":59,"resourceType":60,"resourceTypeDesc":61,"sizeBytes":62,"sourceHtmlUrl":63},"references\u002Foriginal-prompt.org","REFERENCE","参考文档",7611,"https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Fljg-roundtable\u002Freferences\u002Foriginal-prompt.org",[65,88,113,123,136,155],{"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":33},"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",[77,78,79,80,81,82,83,84,85,86,87,28],"wechat search","wechat","search","capabilities","openclaw","design","web search","compliance","web","official","fetch",{"skillNo":89,"name":90,"nameZh":6,"description":91,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":92,"categories":93,"keywords":94,"publishedAt":33},"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",[],[95,96,97,98,99,100,79,101,102,103,104,32,105,106,107,108,109,110,111,112],"trend","trend tap","tap","api keys","Bash","time","trending","hacker","aggregator","do","brew","live","data","google","install","read","across","api",{"skillNo":114,"name":115,"nameZh":6,"description":116,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":117,"categories":118,"keywords":119,"publishedAt":33},"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",[],[120,121,95,105,106,107,108,99,79,110,122,111,112,32,103,102,101,109,100,98],"trend radar","radar","pulse",{"skillNo":124,"name":125,"nameZh":6,"description":126,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":127,"categories":128,"keywords":129,"publishedAt":33},"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",[],[130,131,132,133,134,135],"news","tech","tech news daily","daily","rss","翻译",{"skillNo":137,"name":138,"nameZh":6,"description":139,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":140,"categories":141,"keywords":147,"publishedAt":33},"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",[142],{"categoryNo":143,"categoryName":144,"taxonomyType":145,"taxonomyTypeDesc":146},"01JBSEEDCAT000000000000021","资料检索与研究","SCENARIO","使用场景",[138,85,148,149,150,28,105,151,152,153,97,154,109],"Audio","cli","youtube","images","https","files","pdfs",{"skillNo":156,"name":157,"nameZh":6,"description":158,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":159,"categories":160,"keywords":161,"publishedAt":33},"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",[],[157,162,163,164,109,165,152,166,167,168,169,170],"status","play","go","latest","github","discover","control","cmd","volume"]