SQLite Web: forge.db

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[{"type":"thinking","text":"The user says \"我要做个课\" (I want to make a course/training). This is ambiguous. Given the project context — this is an AI-native experience extraction engine (经验萃取引擎) for extracting expert tacit knowledge into knowledge cards. The flow is about extracting knowledge from experts, compiling into knowledge cards, and generating deliverables like handbooks.\n\n\"我要做个课\" - \"I want to make a course/lesson/training\". Hmm. In the context of this engine... Wait, the user 小郭 is in CS (客户成功). Let me think.\n\nActually the message is very short and ambiguous. Let me consider what skills could apply:\n- cuiqu-diagnose: 萃取项目的\"第零步\" - diagnosing org needs\n- cuiqu-start: 启动一次经验萃取 (start an extraction)\n- cuiqu-interview: 深度访谈\n- cuiqu-compile: 编译\n- cuiqu-export: 导出成果物 (handbook 教学层)\n\n\"做个课\" could mean:\n1. Making a course from extracted knowledge (like using cuiqu-export to produce handbook, or packaging knowledge into training course)\n2. Starting an extraction process to build training material\n3. Something else entirely\n\nGiven the workspace is \"AI-Extraction-Engine\", and the user says \"我要做个课\" — this is likely a request to begin some extraction work. But it's ambiguous.\n\nActually wait — is this maybe a completely off-topic request? Like they want me to help design a course in general? Given CLAUDE.md describes the whole context, and the greeting protocol says if user says something specific, execute directly.\n\n\"做个课\" is short. Hmm. It might mean: they want to extract a course from an expert's experience, i.e., run through the extraction process to produce teaching material (handbook is \"教学层给一线新人\"). The phrase \"做个课\" in a CS/extraction context could mean: 把专家经验做成一门课 (turn expert experience into a course). That aligns with the engine's purpose — 萃取出经验后做成培训课程/手册.\n\nBut it's genuinely ambiguous. The best move: ask a clarifying question. Given the AskUserQuestion tool, I should clarify what they want. Options might be:\n1. 萃取某位专家的经验做成培训课(走萃取流程)\n2. 已有萃取成果,想导出成教学材料/handbook\n3. 想先从组织需求诊断开始\n4. 其他\n\nActually let me reconsider. The user is 小郭, in CS (客户成功). Their memory says \"客户成功(CS)领域,具体细分方向待浮现\". Perhaps they want to make a course themselves, e.g., a customer-success onboarding course. Or perhaps they're evaluating this tool by asking it to help build a course.\n\nGiven the ambiguity of \"我要做个课\", and no clear trigger phrase matching any skill exactly, I think a quick clarifying question is warranted. The greeting protocol says when the user has specific needs, skip self-intro and execute. But I can't execute without knowing what they want.\n\nI'll ask a clarifying question in Chinese. Keep it natural and friendly.\n\nLet me use AskUserQuestion. But it might be better to just ask in conversation? The guidance says AskUserQuestion is for decisions genuinely the user's to make. This qualifies: what they want to do.\n\nLet me design options:\n\nQuestion: 「做个课」具体想做什么呢?\n\nOptions:\n1. 把某位专家的经验做成课 — 走萃取流程:访谈专家 → 挖出判断模型 → 产出结构化教学素材(心法/三板斧/话术/避坑)。需要选定主题和专家。\n2. 已有萃取成果,想导出教学手册 — 已完成的访谈/知识卡,生成给一线新人的 handbook 教学材料。\n3. 先诊断团队需求 — 还没想好萃取什么/选谁,先做调研访谈定位最有价值的萃取主题。\n\nI think asking is right. Actually wait — is \"做个课\" perhaps meaning something like \"I want to build a course (as a deliverable from knowledge extraction)\"? Let me just ask to clarify scope and what content.\n\nSince this is genuinely ambiguous and short, I'll respond conversationally first with a brief clarifying question — per the tone rules for conversational exchanges, keep natural. AskUserQuestion is good for structured selection. But maybe a plain conversation is more natural given the user is being vague. The AskUserQuestion tool is appropriate here to structure choices.\n\nLet me ask a question with clear options."},{"type":"thinking","text":"The user says \"我要做个课\" (I want to make a course/training). This is ambiguous. Given the project context — this is an AI-native experience extraction engine (经验萃取引擎) for extracting expert tacit knowledge into knowledge cards. The flow is about extracting knowledge from experts, compiling into knowledge cards, and generating deliverables like handbooks.\n\n\"我要做个课\" - \"I want to make a course/lesson/training\". Hmm. In the context of this engine... Wait, the user 小郭 is in CS (客户成功). Let me think.\n\nActually the message is very short and ambiguous. Let me consider what skills could apply:\n- cuiqu-diagnose: 萃取项目的\"第零步\" - diagnosing org needs\n- cuiqu-start: 启动一次经验萃取 (start an extraction)\n- cuiqu-interview: 深度访谈\n- cuiqu-compile: 编译\n- cuiqu-export: 导出成果物 (handbook 教学层)\n\n\"做个课\" could mean:\n1. Making a course from extracted knowledge (like using cuiqu-export to produce handbook, or packaging knowledge into training course)\n2. Starting an extraction process to build training material\n3. Something else entirely\n\nGiven the workspace is \"AI-Extraction-Engine\", and the user says \"我要做个课\" — this is likely a request to begin some extraction work. But it's ambiguous.\n\nActually wait — is this maybe a completely off-topic request? Like they want me to help design a course in general? Given CLAUDE.md describes the whole context, and the greeting protocol says if user says something specific, execute directly.\n\n\"做个课\" is short. Hmm. It might mean: they want to extract a course from an expert's experience, i.e., run through the extraction process to produce teaching material (handbook is \"教学层给一线新人\"). The phrase \"做个课\" in a CS/extraction context could mean: 把专家经验做成一门课 (turn expert experience into a course). That aligns with the engine's purpose — 萃取出经验后做成培训课程/手册.\n\nBut it's genuinely ambiguous. The best move: ask a clarifying question. Given the AskUserQuestion tool, I should clarify what they want. Options might be:\n1. 萃取某位专家的经验做成培训课(走萃取流程)\n2. 已有萃取成果,想导出成教学材料/handbook\n3. 想先从组织需求诊断开始\n4. 其他\n\nActually let me reconsider. The user is 小郭, in CS (客户成功). Their memory says \"客户成功(CS)领域,具体细分方向待浮现\". Perhaps they want to make a course themselves, e.g., a customer-success onboarding course. Or perhaps they're evaluating this tool by asking it to help build a course.\n\nGiven the ambiguity of \"我要做个课\", and no clear trigger phrase matching any skill exactly, I think a quick clarifying question is warranted. The greeting protocol says when the user has specific needs, skip self-intro and execute. But I can't execute without knowing what they want.\n\nI'll ask a clarifying question in Chinese. Keep it natural and friendly.\n\nLet me use AskUserQuestion. But it might be better to just ask in conversation? The guidance says AskUserQuestion is for decisions genuinely the user's to make. This qualifies: what they want to do.\n\nLet me design options:\n\nQuestion: 「做个课」具体想做什么呢?\n\nOptions:\n1. 把某位专家的经验做成课 — 走萃取流程:访谈专家 → 挖出判断模型 → 产出结构化教学素材(心法/三板斧/话术/避坑)。需要选定主题和专家。\n2. 已有萃取成果,想导出教学手册 — 已完成的访谈/知识卡,生成给一线新人的 handbook 教学材料。\n3. 先诊断团队需求 — 还没想好萃取什么/选谁,先做调研访谈定位最有价值的萃取主题。\n\nI think asking is right. Actually wait — is \"做个课\" perhaps meaning something like \"I want to build a course (as a deliverable from knowledge extraction)\"? Let me just ask to clarify scope and what content.\n\nSince this is genuinely ambiguous and short, I'll respond conversationally first with a brief clarifying question — per the tone rules for conversational exchanges, keep natural. AskUserQuestion is good for structured selection. But maybe a plain conversation is more natural given the user is being vague. The AskUserQuestion tool is appropriate here to structure choices.\n\nLet me ask a question with clear options."},{"type":"tool_use","id":"call_00_3owdq78YzeN1yz7JoseM7474","name":"AskUserQuestion","input":{"questions":[{"question":"「做个课」具体是指哪种呢?我想先确认一下你的目标,好带你走对流程。","header":"你的目标","multiSelect":false,"options":[{"label":"把专家经验做成课","description":"选一位专家/一个主题,通过深度访谈把ta的判断经验挖出来,整理成结构化教学素材(心法、招式、话术、避坑) — 走萃取流程(C1→C4)"},{"label":"已有素材,导出教学手册","description":"访谈或知识卡已经做完了,想生成给新人看的教学手册(handbook),把知识变成可学习的课程材料"},{"label":"还不知道萃取什么","description":"团队想提升但方向不明确,先做一次需求诊断/调研,定位最有萃取价值的主题和专家"}]}]}},{"type":"tool_result","tool_use_id":"call_00_3owdq78YzeN1yz7JoseM7474","content":"The user did not answer the questions.","is_error":false},{"type":"tool_raw_result","tool_use_id":"call_00_3owdq78YzeN1yz7JoseM7474","tool_name":"AskUserQuestion","raw_content":{"type":"text","text":"The user did not answer the questions."}},{"type":"thinking","text":"The user did not answer. Perhaps they typed something or dismissed. Actually the tool returned \"The user did not answer the questions.\" Let me just engage naturally in conversation. Since they said \"我要做个课\" and the project is an experience extraction engine whose deliverables include training material (handbook for new hires), they likely want help building a course.\n\nGiven the user is 小郭, in CS (客户成功). Maybe they want to make a course about customer success experience. Rather than pushing structured question again, I'll respond conversationally to gather the essentials: what topic, whose experience, audience. Keep it warm, one question at a time.\n\nActually, let me not overuse the AskUserQuestion tool since they skipped it. Just chat naturally. Ask what the course is about, who the target audience is, and whether it draws on an expert's experience (which would trigger the extraction flow).\n\nKeep natural and short."},{"type":"text","text":"没问题～那我先了解一下情况,好帮你选最省力的路径。\n\n先说说:**这门课的主题是什么、给谁上?** 比如是「客户成功新人如何做好首次客户对接」这类 —— 是从某位专家/老同事身上把经验「挖」出来做成课,还是你手上已经有现成的内容,只是想把它整理成一门课?"}]

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