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[{"type":"thinking","text" [{"type":"thinking","text":"The user said \"你好\" (Hello in Chinese). According to the CLAUDE.md greeting protocol, when a user sends an initialization message like \"你好\", I should respond with the greeting that introduces myself as \"小伴\" and list what I can do.\n\nLet me provide the greeting as specified in the project's CLAUDE.md."},{"type":"thinking","text":"The user said \"你好\" (Hello in Chinese). According to the CLAUDE.md greeting protocol, when a user sends an initialization message like \"你好\", I should respond with the greeting that introduces myself as \"小伴\" and list what I can do.\n\nLet me provide the greeting as specified in the project's CLAUDE.md."},{"type":"text","text":"你好!我是**小伴**。\n\n我能帮你做这些事:\n\n1. 发起一次经验梳理 — 聊几句就能帮你定位到最有价值的方向\n2. 跟专家做深度访谈 — 把他们的判断经验一点点聊出来\n3. 把访谈内容整理成结构化的知识卡片\n4. 生成不同格式的成果文档,方便团队分享和学习\n5. 帮 HR 同事审核知识卡,确认内容准确后正式发布\n6. 随时查询已经整理好的经验知识\n\n想试试的话,直接跟我说就行,我来引导你走完整个过程。"}]...
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2026-07-30 06:38:16
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[{"type":"text","text": [{"type":"text","text":"你好"}]...
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2026-07-30 06:38:12
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ef97f73c-4d96-4c73-aecd-7b249e6c4e9a
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[{"type":"thinking","text" [{"type":"thinking","text":"The user said \"运营类\" (operations category). Let me create the session directory and initialize everything.\n\nDirection: 运营类\nTopic: 社群运营SOP\n\nSession ID format: YYYY-MM-DD_expert-id. Since we don't have an expert ID yet (we'll ask during the interview), I'll use a placeholder like \"expert-001\" or similar.\n\nWait, the instructions say session-id format is `YYYY-MM-DD_expert-id` (日期 + 专家代号). Since we haven't met the expert yet, I'll use a generic ID. Today is 2026-07-29. Let me use something like `2026-07-29_expert-001` or just `2026-07-29_expert`.\n\nActually, let me think about this - the user (小郭) is the client/HR person, not the expert. The expert hasn't been identified yet. So the expert alias can be left empty initially.\n\nLet me create the session directory and files.\n\nFirst, let me check if the scripts directory exists and what's in there."},{"type":"thinking","text":"The user said \"运营类\" (operations category). Let me create the session directory and initialize everything.\n\nDirection: 运营类\nTopic: 社群运营SOP\n\nSession ID format: YYYY-MM-DD_expert-id. Since we don't have an expert ID yet (we'll ask during the interview), I'll use a placeholder like \"expert-001\" or similar.\n\nWait, the instructions say session-id format is `YYYY-MM-DD_expert-id` (日期 + 专家代号). Since we haven't met the expert yet, I'll use a generic ID. Today is 2026-07-29. Let me use something like `2026-07-29_expert-001` or just `2026-07-29_expert`.\n\nActually, let me think about this - the user (小郭) is the client/HR person, not the expert. The expert hasn't been identified yet. So the expert alias can be left empty initially.\n\nLet me create the session directory and files.\n\nFirst, let me check if the scripts directory exists and what's in there."},{"type":"text","text":"好的,运营类。我来初始化会话。"},{"type":"tool_use","id":"call_00_QF5OEjZ22jNZlpee8Cbi9414","name":"Bash","input":{"command":"ls /home/forge/workspace/forgeworkspace/AI-Extraction-Engine/scripts/update_state.py 2>/dev/null && echo \"EXISTS\" || echo \"NOT_FOUND\"","description":"Check if update_state.py exists"}},{"type":"tool_result","tool_use_id":"call_00_QF5OEjZ22jNZlpee8Cbi9414","content":"/home/forge/workspace/forgeworkspace/AI-Extraction-Engine/scripts/update_state.py\nEXISTS","is_error":false},{"type":"tool_raw_result","tool_use_id":"call_00_QF5OEjZ22jNZlpee8Cbi9414","tool_name":"Bash","raw_content":{"type":"text","text":"/home/forge/workspace/forgeworkspace/AI-Extraction-Engine/scripts/update_state.py\nEXISTS"}},{"type":"tool_use","id":"call_01_78OHUN41fBU6tvJLBlL83333","name":"Bash","input":{"command":"ls /home/forge/workspace/forgeworkspace/AI-Extraction-Engine/raw/ 2>/dev/null || echo \"NO_RAW_DIR\"","description":"Check if raw/ directory exists"}},{"type":"tool_result","tool_use_id":"call_01_78OHUN41fBU6tvJLBlL83333","content":"2026-07-16_xiaoguo-001\n2026-07-24_xiaoguo-001\n2026-07-28_community-op\ndiagnose-2026-07-18\ndiagnose-2026-07-21","is_error":false},{"type":"tool_raw_result","tool_use_id":"call_01_78OHUN41fBU6tvJLBlL83333","tool_name":"Bash","raw_content":{"type":"text","text":"2026-07-16_xiaoguo-001\n2026-07-24_xiaoguo-001\n2026-07-28_community-op\ndiagnose-2026-07-18\ndiagnose-2026-07-21"}},{"type":"thinking","text":"Good, the scripts and raw directory exist. Let me create the session. Today is 2026-07-29. The session ID format is YYYY-MM-DD_expert-id. Since we don't have an expert alias yet, I'll use a placeholder like \"expert-001\" or something the user can help identify later.\n\nWait, actually looking at the existing sessions, I see patterns like \"xiaoguo-001\" and \"community-op\". Let me just use a sensible placeholder. Since this is for community operations (社群运营), maybe I'll use something related. But the user didn't specify the expert yet. Let me use `2026-07-29_expert-001` as a placeholder.\n\nActually, re-reading the instructions more carefully: \"session-id 格式:YYYY-MM-DD_expert-id(日期 + 专家代号,如 2026-06-19_expert-001)\"\n\nLet me create the session with a placeholder expert ID. The user can update it later when they know who the expert is.\n\nLet me create the meta.json and initialize interview_state.json.\n\nLet me also look at an existing meta.json to understand the exact format."},{"type":"tool_use","id":"call_00_ZbeMivxQcM613c7vhRcR2477","name":"Read","input":{"file_path":"/home/forge/workspace/forgeworkspace/AI-Extraction-Engine/raw/2026-07-28_community-op/meta.json"}},{"type":"tool_result","tool_use_id":"call_00_ZbeMivxQcM613c7vhRcR2477","content":"1\t{\n2\t \"sessionId\": \"2026-07-28_community-op\",\n3\t \"expert\": {\"alias\": \"\", \"role\": \"\", \"scope\": \"\", \"yearsOfExperience\": null, \"consentedAt\": \"\"},\n4\t \"businessGoal\": {\n5\t \"direction\": \"运营类\",\n6\t \"orgContext\": \"萃取社群运营SOP,用户明确主题为'社群运营SOP'\",\n7\t \"kpi\": \"\",\n8\t \"objective\": \"\"\n9\t },\n10\t \"status\": \"in-progress\",\n11\t \"coverage\": {\"coveredCount\": 0, \"items\": {}},\n12\t \"rights\": {\"withdrawable\": true, \"expertConsent\": \"pending\"},\n13\t \"createdAt\": \"2026-07-28T00:00:00+08:00\"\n14\t}\n15\t","is_error":false},{"type":"tool_raw_result","tool_use_id":"call_00_ZbeMivxQcM613c7vhRcR2477","tool_name":"Read","raw_content":{"type":"text","text":"1\t{\n2\t \"sessionId\": \"2026-07-28_community-op\",\n3\t \"expert\": {\"alias\": \"\", \"role\": \"\", \"scope\": \"\", \"yearsOfExperience\": null, \"consentedAt\": \"\"},\n4\t \"businessGoal\": {\n5\t \"direction\": \"运营类\",\n6\t \"orgContext\": \"萃取社群运营SOP,用户明确主题为'社群运营SOP'\",\n7\t \"kpi\": \"\",\n8\t \"objective\": \"\"\n9\t },\n10\t \"status\": \"in-progress\",\n11\t \"coverage\": {\"coveredCount\": 0, \"items\": {}},\n12\t \"rights\": {\"withdrawable\": true, \"expertConsent\": \"pending\"},\n13\t \"createdAt\": \"2026-07-28T00:00:00+08:00\"\n14\t}\n15\t"}},{"type":"thinking","text":"I see there's already a session `2026-07-28_community-op` that was started. It seems like someone already started this process. Let me check if there are any other files in that session directory.\n\nActually wait - this is from yesterday (2026-07-28). Let me check if there's an ongoing session for this topic already. Let me see what files exist there."},{"type":"tool_use","id":"call_00_uaKSw3DkdNyd8hfjh9WL0167","name":"Bash","input":{"command":"ls -la /home/forge/workspace/forgeworkspace/AI-Extraction-Engine/raw/2026-07-28_community-op/","description":"Check existing community-op session files"}},{"type":"tool_result","tool_use_id":"call_00_uaKSw3DkdNyd8hfjh9WL0167","content":"total 16\ndrwxrwxr-x 2 forge forge 4096 Jul 28 16:27 .\ndrwxrwxr-x 7 forge forge 4096 Jul 28 16:27 ..\n-rw-rw-r-- 1 forge forge 892 Jul 28 16:27 interview_state.json\n-rw-rw-r-- 1 forge forge 500 Jul 28 16:27 meta.json","is_error":false},{"type":"tool_raw_result","tool_use_id":"call_00_uaKSw3DkdNyd8hfjh9WL0167","tool_name":"Bash","raw_content":{"type":"text","text":"total 16\ndrwxrwxr-x 2 forge forge 4096 Jul 28 16:27 .\ndrwxrwxr-x 7 forge forge 4096 Jul 28 16:27 ..\n-rw-rw-r-- 1 forge forge 892 Jul 28 16:27 interview_state.json\n-rw-rw-r-- 1 forge forge 500 Jul 28 16:27 meta.json"}},{"type":"thinking","text":"There's already a session from yesterday: `2026-07-28_community-op`. It was created yesterday but doesn't seem to have progressed beyond initialization. Let me check the interview_state.json to see if there was any interview done."},{"type":"tool_use","id":"call_00_zOxwKGDB9iWGMaNDqYtK3999","name":"Read","input":{"file_path":"/home/forge/workspace/forgeworkspace/AI-Extraction-Engine/raw/2026-07-28_community-op/interview_state.json"}},{"type":"tool_result","tool_use_id":"call_00_zOxwKGDB9iWGMaNDqYtK3999","content":"1\t{\n2\t \"sessionId\": \"2026-07-28_community-op\",\n3\t \"turnCount\": 0,\n4\t \"verbatimQuotesPool\": [],\n5\t \"coverage\": {\n6\t \"concrete-events\": {\n7\t \"covered\": false,\n8\t \"evidence\": [],\n9\t \"missing_reason\": \"\"\n10\t },\n11\t \"key-actions\": {\n12\t \"covered\": false,\n13\t \"evidence\": [],\n14\t \"missing_reason\": \"\"\n15\t },\n16\t \"judgment-basis\": {\n17\t \"covered\": false,\n18\t \"evidence\": [],\n19\t \"missing_reason\": \"\"\n20\t },\n21\t \"outcome-feedback\": {\n22\t \"covered\": false,\n23\t \"evidence\": [],\n24\t \"missing_reason\": \"\"\n25\t },\n26\t \"tacit-belief\": {\n27\t \"covered\": false,\n28\t \"evidence\": [],\n29\t \"missing_reason\": \"\"\n30\t },\n31\t \"failure-boundary\": {\n32\t \"covered\": false,\n33\t \"evidence\": [],\n34\t \"missing_reason\": \"\"\n35\t },\n36\t \"expert-verbatim\": {\n37\t \"covered\": false,\n38\t \"evidence\": [],\n39\t \"missing_reason\": \"\"\n40\t }\n41\t },\n42\t \"lastUpdated\": \"2026-07-28T08:27:50.074558+00:00\"\n43\t}","is_error":false},{"type":"tool_raw_result","tool_use_id":"call_00_zOxwKGDB9iWGMaNDqYtK3999","tool_name":"Read","raw_content":{"type":"text","text":"1\t{\n2\t \"sessionId\": \"2026-07-28_community-op\",\n3\t \"turnCount\": 0,\n4\t \"verbatimQuotesPool\": [],\n5\t \"coverage\": {\n6\t \"concrete-events\": {\n7\t \"covered\": false,\n8\t \"evidence\": [],\n9\t \"missing_reason\": \"\"\n10\t },\n11\t \"key-actions\": {\n12\t \"covered\": false,\n13\t \"evidence\": [],\n14\t \"missing_reason\": \"\"\n15\t },\n16\t \"judgment-basis\": {\n17\t \"covered\": false,\n18\t \"evidence\": [],\n19\t \"missing_reason\": \"\"\n20\t },\n21\t \"outcome-feedback\": {\n22\t \"covered\": false,\n23\t \"evidence\": [],\n24\t \"missing_reason\": \"\"\n25\t },\n26\t \"tacit-belief\": {\n27\t \"covered\": false,\n28\t \"evidence\": [],\n29\t \"missing_reason\": \"\"\n30\t },\n31\t \"failure-boundary\": {\n32\t \"covered\": false,\n33\t \"evidence\": [],\n34\t \"missing_reason\": \"\"\n35\t },\n36\t \"expert-verbatim\": {\n37\t \"covered\": false,\n38\t \"evidence\": [],\n39\t \"missing_reason\": \"\"\n40\t }\n41\t },\n42\t \"lastUpdated\": \"2026-07-28T08:27:50.074558+00:00\"\n43\t}"}},{"type":"thinking","text":"There's an existing session `2026-07-28_community-op` that was initialized yesterday but never used (turnCount is 0, no interview done). I can reuse this session rather than creating a new one. Let me ask the user if they want to continue with this existing session or start fresh.\n\nActually, since it was created yesterday and never used, it makes sense to just reuse it. The meta.json already has the right direction (运营类) and context (萃取社群运营SOP). Let me just proceed with it.\n\nThe session is initialized and ready to go. Per the instructions, I should now tell the user that the session is ready and guide them to start the interview when the expert is available."},{"type":"text","text":"已经有一个现成的会话 `2026-07-28_community-op`(昨天初始化但还没使用过),我直接接着用。\n\n✓ 已就绪。\n\n\"社群运营SOP\"这个方向已经有了,专家到位后跟我说**\"开始访谈\"**就行,我会引导整个过程。\n\n访谈中会先跟专家聊开场、确认角色背景,然后一步步把社群运营的隐性经验挖出来。结束后会自动做质量检查,通过后直接进入编译。"}]...
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2026-07-29 01:38:51
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[{"type":"text","text": [{"type":"text","text":"运营类"}]...
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2026-07-29 01:38:34
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[{"type":"thinking","text" [{"type":"thinking","text":"The user wants to extract/compile experience for a \"社群运营SOP\" (community operations SOP). Let me think about what skill to invoke here.\n\nLooking at the project - this is the AI 原生经验萃取引擎 (AI-Native Experience Extraction Engine). The user wants to do an experience extraction for a community operations SOP.\n\nThis doesn't seem like:\n- A diagnose (they know what they want - 社群运营SOP)\n- A consult (not asking about existing knowledge)\n- A review (not reviewing cards)\n- An export (not exporting yet)\n\nThis seems like they want to start a new extraction session. Let me think...\n\nThe workflow is: cuiqu-diagnose (optional) → cuiqu-start → cuiqu-interview → cuiqu-compile → cuiqu-export → cuiqu-review → cuiqu-consult\n\nThe user said \"我想萃取一份社群运营SOP\" - they want to extract/compile a community operations SOP. This sounds like they want to start the process. Given they know the topic (社群运营SOP), they might want to either:\n\n1. Start a new session with cuiqu-start\n2. Or since they have a clear topic, maybe just start\n\nLet me start the cuiqu-start skill to initialize a session for community operations SOP extraction.\n\nActually, let me think more carefully. The user said \"社群运营SOP\" - this is about community operations, not B2B sales. The project has B2B sales as default assumptions (section 5). But the user is asking about community operations, which is a different scenario. \n\nLet me invoke cuiqu-start to begin the process. The start skill will initialize a session and guide the user through the process.\n\nWait, let me re-read the CLAUDE.md more carefully. It says:\n\n\"当用户说「我要做萃取」「启动萃取」「新建 session」「开始」时触发\"\n\nThe user is saying they want to do extraction. So I should invoke cuiqu-start.\n\nBut first, let me also check - the user might benefit from diagnose first? They know the topic (\"社群运营SOP\"), so probably skip diagnose and go straight to start.\n\nLet me invoke cuiqu-start."},{"type":"thinking","text":"The user wants to extract/compile experience for a \"社群运营SOP\" (community operations SOP). Let me think about what skill to invoke here.\n\nLooking at the project - this is the AI 原生经验萃取引擎 (AI-Native Experience Extraction Engine). The user wants to do an experience extraction for a community operations SOP.\n\nThis doesn't seem like:\n- A diagnose (they know what they want - 社群运营SOP)\n- A consult (not asking about existing knowledge)\n- A review (not reviewing cards)\n- An export (not exporting yet)\n\nThis seems like they want to start a new extraction session. Let me think...\n\nThe workflow is: cuiqu-diagnose (optional) → cuiqu-start → cuiqu-interview → cuiqu-compile → cuiqu-export → cuiqu-review → cuiqu-consult\n\nThe user said \"我想萃取一份社群运营SOP\" - they want to extract/compile a community operations SOP. This sounds like they want to start the process. Given they know the topic (社群运营SOP), they might want to either:\n\n1. Start a new session with cuiqu-start\n2. Or since they have a clear topic, maybe just start\n\nLet me start the cuiqu-start skill to initialize a session for community operations SOP extraction.\n\nActually, let me think more carefully. The user said \"社群运营SOP\" - this is about community operations, not B2B sales. The project has B2B sales as default assumptions (section 5). But the user is asking about community operations, which is a different scenario. \n\nLet me invoke cuiqu-start to begin the process. The start skill will initialize a session and guide the user through the process.\n\nWait, let me re-read the CLAUDE.md more carefully. It says:\n\n\"当用户说「我要做萃取」「启动萃取」「新建 session」「开始」时触发\"\n\nThe user is saying they want to do extraction. So I should invoke cuiqu-start.\n\nBut first, let me also check - the user might benefit from diagnose first? They know the topic (\"社群运营SOP\"), so probably skip diagnose and go straight to start.\n\nLet me invoke cuiqu-start."},{"type":"text","text":"你想做社群运营的经验萃取,我来帮你启动。\n\n先了解一下基本情况:"},{"type":"tool_use","id":"call_00_gEk7Rb2bVabxsSIoPBB08621","name":"Skill","input":{"skill":"cuiqu-start","args":"社群运营SOP"}},{"type":"tool_result","tool_use_id":"call_00_gEk7Rb2bVabxsSIoPBB08621","content":"Launching skill: cuiqu-start","is_error":false},{"type":"tool_raw_result","tool_use_id":"call_00_gEk7Rb2bVabxsSIoPBB08621","tool_name":"Skill","raw_content":{"type":"text","text":"Launching skill: cuiqu-start"}},{"type":"thinking","text":"The skill has told me what to do. The user wants to extract experience for \"社群运营SOP\" (Community Operations SOP). Let me follow the steps:\n\n1. Step 1: Ask the user what broad category this falls under (销售类 / 管理类 / 工程类 / 合规类 / 客户成功类)\n2. Then create the session directory and files\n3. Initialize interview state\n4. Prompt next step\n\nLet me start by asking the user about the broad direction. The skill says \"只问1个问题\" - ask just one question about the broad category.\n\n社群运营 (community operations) could fall under several categories. Let me ask the user."},{"type":"text","text":"好的,我先问一个问题——社群运营这个方向,大致属于什么类别?\n\n是**运营类 / 销售类 / 客户成功类 / 管理类**,还是别的?说一个大概方向就行,不用太细。"}]...
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2026-07-29 01:38:30
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[{"type":"text","text": [{"type":"text","text":"我想萃取一份社群运营sop"}]...
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2026-07-29 01:38:18
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[{"type":"thinking","text" [{"type":"thinking","text":"The user just said \"哈喽\" (hello). According to the CLAUDE.md greeting protocol, when the user sends an initialization message like \"你好\"\"hi\"\"在吗\"\"你是谁\"\"能干什么\"\"开始\", I should respond with the greeting:\n\n> 你好!我是**小伴**。\n> \n> 我能帮你做这些事:\n> 1. 发起一次经验梳理 — 聊几句就能帮你定位到最有价值的方向\n> 2. 跟专家做深度访谈 — 把他们的判断经验一点点聊出来\n> 3. 把访谈内容整理成结构化的知识卡片\n> 4. 生成不同格式的成果文档,方便团队分享和学习\n> 5. 帮 HR 同事审核知识卡,确认内容准确后正式发布\n> 6. 随时查询已经整理好的经验知识\n> \n> 想试试的话,直接跟我说就行,我来引导你走完整个过程。\n\n\"哈喽\" is essentially \"hello\", so I should respond with the greeting."},{"type":"thinking","text":"The user just said \"哈喽\" (hello). According to the CLAUDE.md greeting protocol, when the user sends an initialization message like \"你好\"\"hi\"\"在吗\"\"你是谁\"\"能干什么\"\"开始\", I should respond with the greeting:\n\n> 你好!我是**小伴**。\n> \n> 我能帮你做这些事:\n> 1. 发起一次经验梳理 — 聊几句就能帮你定位到最有价值的方向\n> 2. 跟专家做深度访谈 — 把他们的判断经验一点点聊出来\n> 3. 把访谈内容整理成结构化的知识卡片\n> 4. 生成不同格式的成果文档,方便团队分享和学习\n> 5. 帮 HR 同事审核知识卡,确认内容准确后正式发布\n> 6. 随时查询已经整理好的经验知识\n> \n> 想试试的话,直接跟我说就行,我来引导你走完整个过程。\n\n\"哈喽\" is essentially \"hello\", so I should respond with the greeting."},{"type":"text","text":"哈喽!我是**小伴**。\n\n我能帮你做这些事:\n\n1. **发起一次经验梳理** — 聊几句就能帮你定位到最有价值的方向\n2. **跟专家做深度访谈** — 把他们的判断经验一点点聊出来\n3. **把访谈内容整理成结构化的知识卡片**\n4. **生成不同格式的成果文档**,方便团队分享和学习\n5. **帮 HR 同事审核知识卡**,确认内容准确后正式发布\n6. **随时查询已经整理好的经验知识**\n\n想试试的话,直接跟我说就行,我来引导你走完整个过程。"}]...
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2026-07-30 06:37:04
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[{"type":"text","text": [{"type":"text","text":"哈喽"}]...
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2026-07-30 06:36:59
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[{"type":"thinking","text" [{"type":"thinking","text":"用户问:\"你可以做经验萃取?\"\n\n根据 CLAUDE.md 的问候协议,当用户发送初始化消息(如\"你好\"\"hi\"\"在吗\"\"你是谁\"\"能干什么\"\"开始\")时,输出问候。\n\n这里的用户消息\"你可以做经验萃取?\"是对能力的询问,类似\"能干什么\"。所以我应该按照问候协议输出标准问候内容。根据项目宪法,应该用\"小伴\"身份。\n\n注意 .claude/CLAUDE.md 要求:面向用户说人话,用业务语言。问候协议说不要长篇大论介绍项目历史、设计哲学、八条硬约束。问候只输出\"你是谁 + 能干什么 + 怎么开始\"。\n\n所以直接输出那个标准问候。不需要调用工具。"},{"type":"thinking","text":"用户问:\"你可以做经验萃取?\"\n\n根据 CLAUDE.md 的问候协议,当用户发送初始化消息(如\"你好\"\"hi\"\"在吗\"\"你是谁\"\"能干什么\"\"开始\")时,输出问候。\n\n这里的用户消息\"你可以做经验萃取?\"是对能力的询问,类似\"能干什么\"。所以我应该按照问候协议输出标准问候内容。根据项目宪法,应该用\"小伴\"身份。\n\n注意 .claude/CLAUDE.md 要求:面向用户说人话,用业务语言。问候协议说不要长篇大论介绍项目历史、设计哲学、八条硬约束。问候只输出\"你是谁 + 能干什么 + 怎么开始\"。\n\n所以直接输出那个标准问候。不需要调用工具。"},{"type":"text","text":"你好!我是**小伴**。\n\n我能帮你做这些事:\n1. 发起一次经验梳理 — 聊几句就能帮你定位到最有价值的方向\n2. 跟专家做深度访谈 — 把他们的判断经验一点点聊出来\n3. 把访谈内容整理成结构化的知识卡片\n4. 生成不同格式的成果文档,方便团队分享和学习\n5. 帮 HR 同事审核知识卡,确认内容准确后正式发布\n6. 随时查询已经整理好的经验知识\n\n想试试的话,直接跟我说就行,我来引导你走完整个过程。你是想做哪个环节?比如你们已经有想萃取的主题和专家人选,还是需要先一起理一理方向?"}]...
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2026-09-07 18:22:01
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[{"type":"text","text": [{"type":"text","text":"你可以做经验萃取?"}]...
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2026-09-07 18:21:55
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[{"type":"thinking","text" [{"type":"thinking","text":"The user said \"1\" which likely means \"展开经验 1\" - they want to see more details about the first experience. Let me show the full training material and complete judgment model.\n\nThe two cards from the same episode (E-2026-06-19-消卡模式):\n1. K2J_R_2026_0619_001 - 侧面探盈利模式判定报价区间 (published)\n2. K2J_R_2026_0619_002 - 筛客户筛长期资金来源 (published)\n\nAnd the Belief card K2J_B_2026_0619_001 is pending-review.\n\nBoth cards already have trainingMaterial. Let me present the expanded details, showing:\n1. Complete trainingMaterial from both cards\n2. Full judgment model (Dao→Fa→Shu→Ce→Keng)\n3. Complete boundary info\n\nI already have all the data from the reads above, so I can present it directly."},{"type":"thinking","text":"The user said \"1\" which likely means \"展开经验 1\" - they want to see more details about the first experience. Let me show the full training material and complete judgment model.\n\nThe two cards from the same episode (E-2026-06-19-消卡模式):\n1. K2J_R_2026_0619_001 - 侧面探盈利模式判定报价区间 (published)\n2. K2J_R_2026_0619_002 - 筛客户筛长期资金来源 (published)\n\nAnd the Belief card K2J_B_2026_0619_001 is pending-review.\n\nBoth cards already have trainingMaterial. Let me present the expanded details, showing:\n1. Complete trainingMaterial from both cards\n2. Full judgment model (Dao→Fa→Shu→Ce→Keng)\n3. Complete boundary info\n\nI already have all the data from the reads above, so I can present it directly."},{"type":"text","text":"好的,展开来看完整细节:\n\n━━━ 完整经验:酒店商学院黄单——从\"预算问题\"到\"消卡模式装不下高价课\" ━━━\n\n**专家角色**:企业培训讲师 | **场景**:卖高价培训课(1.5万/天),客户说\"预算有问题\"\n\n---\n\n### 判断模型全貌\n\n坑(只说自己)→ 道(探盈利模式)→ 法(侧面反推)→ 术(三连话术)→ 策(补贴模式→拒绝)\n\n---\n\n### 心法大白话\n\n客户说\"贵\"不一定是真没钱——先别信表面理由,要探客户的盈利模式撑不撑得起高价课。筛客户筛两件事:现在买不买得起 + 以后养不养得起。\n\n### 核心句\n\n**\"了解了客户的利润,才能找到自己的报价区间。\"**\n\n---\n\n### 三板斧(致胜密招)\n\n| 顺序 | 招式 | 目的 | 例句 |\n|---|---|---|---|\n| 1 | 抛人数 | 摸活动规模,推算客户付费能力 | \"你们这场来多少人啊?\" |\n| 2 | 抛付费 | 判断客户盈利模式(会员费/项目费/补贴) | \"他们都是缴费过来的吗?\" |\n| 3 | 抛场地 | 侧面估算客户成本结构 | \"这个酒店挺高级,也不便宜吧?\" |\n\n---\n\n### 话术对照\n\n| 场景 | 错误说法 | 正确说法 | 原则 |\n|---|---|---|---|\n| 客户说\"预算有问题/贵/没钱\" | \"我们价格已经很优惠了,再谈谈\" / \"我给您优惠点\" | \"你们这场来多少人啊?那他们都是缴费过来的吗?这酒店挺高级的,也不便宜吧?\" | 别辩护、别让价,反推客户盈利模式。三个侧面信号拼出来,客户自己会算出\"装不下\" |\n\n---\n\n### 避坑对照\n\n| 坑 | 客户心里话 | 正确做法 |\n|---|---|---|\n| 没了解客户怎么赚钱,直接报价 | \"你都不知道我怎么赚钱,凭什么给我开这个价?\" | 先抛人数/付费/场地三连,反推盈利模式,再定报价区间 |\n| 只讲自己服务、只说自己价格 | \"跟我没关系,我先听听你吹\" | 把客户盈利模式当锚点,让客户自己算出\"消卡装不下高价课\" |\n| 没站客户角度算他们成本 | \"你不懂我的处境,只会卖\" | 把\"你报价多少\"换成\"你这模式扛得起多少\",客户自己会权衡 |\n\n---\n\n### 场景策略\n\n| 场景 | 警告 | 解决方案 | 原则 |\n|---|---|---|---|\n| 客户是免费组织、靠补贴运营 | 别尝试救单、别降价,结构性不匹配救不出来 | 礼貌退出:\"这种模式我这边撑不太起报价,等以后有合适场景再合作\" | 补贴模式天然没钱,报价就是浪费时间 |\n| 客户当下能买但长期没资金来源 | 转化后没粮草,前期投入精力全沉没 | 在前期就问续费/复购来源,无稳定来源就评估是否拒绝 | 筛客户筛两件事:现在买不买得起 + 以后养不养得起 |\n\n---\n\n### 狠招\n\n**把\"长期资金来源\"当前置筛选**:新人最容易贪\"当下成交\",老手知道接了一个不长期的客户,前期投入的成本无法摊销。设个底线:确认客户有2年以上稳定资金来源才接,否则礼貌退出。看似少做一单,实际单位时间收益翻倍。\n\n---\n\n### 边界条件\n\n| 维度 | 内容 |\n|---|---|\n| 适用场景 | 客户主动找上门邀请讲师出场,且客户说出\"贵/没钱/预算有问题\"类理由时 |\n| 不适用 | 客户是长期合作的老客户、盈利模式已知且匹配 |\n| 关联风险 | 若不探盈利模式直接报价 → 在不匹配客户身上花精力,时间沉没 |\n\n---\n\n想看其他主题的经验直接跟我说!"}]...
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2026-07-30 10:36:56
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[{"type":"text","text": [{"type":"text","text":"1"}]...
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2026-07-30 10:36:46
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87bd37f2-dd66-4f6a-a295-ad75b41f60db
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[{"type":"thinking","text" [{"type":"thinking","text":"The user wants to look up knowledge about \"客户谈判\" (customer negotiation). Let me follow the skill instructions:\n\n1. First, I need to read the wiki/index.json to find matching knowledge cards\n2. Filter by approved/published status\n3. Match against the user's query about 客户谈判\n\nLet me start by reading the index file."},{"type":"thinking","text":"The user wants to look up knowledge about \"客户谈判\" (customer negotiation). Let me follow the skill instructions:\n\n1. First, I need to read the wiki/index.json to find matching knowledge cards\n2. Filter by approved/published status\n3. Match against the user's query about 客户谈判\n\nLet me start by reading the index file."},{"type":"text","text":"好的,我来查查关于\"客户谈判\"的经验知识。"},{"type":"tool_use","id":"call_00_Ygp1cnxDiuCryzlMZ2g16120","name":"Read","input":{"file_path":"/home/forge/workspace/forgeworkspace/AI-Extraction-Engine/wiki/index.json"}},{"type":"tool_result","tool_use_id":"call_00_Ygp1cnxDiuCryzlMZ2g16120","content":"1\t{\n2\t \"version\": \"1.0\",\n3\t \"updatedAt\": \"2026-07-16T12:02:50.252539+00:00\",\n4\t \"cards\": [\n5\t {\n6\t \"id\": \"K2J_B_2026_0508_001\",\n7\t \"type\": \"Belief\",\n8\t \"name\": \"工业地产销售信念:判客坚持 + 借力团队 + 团队氛围(夏宇三大心法)\",\n9\t \"expert\": \"2026-05-08_xiayu-001\",\n10\t \"scenario\": \"罗源乡贤在外地发展(福州货架 top 3),购买台商项目 3+1 火车头厂房 8000㎡ 2200多万\",\n11\t \"score\": 0.92,\n12\t \"tier\": \"\",\n13\t \"status\": \"pending-review\",\n14\t \"sensitivityLevel\": \"internal\",\n15\t \"episodeId\": \"E-2026-05-08-钢结构火车头厂房-001\",\n16\t \"episodeTitle\": \"夏宇:1.5年长期跟进不锈钢货架客户成交钢结构火车头厂房\",\n17\t \"dominantLayer\": \"Dao\",\n18\t \"hasDaoSibling\": true,\n19\t \"path\": \"wiki/concepts/K2J_B_2026_0508_001.jsonld\",\n20\t \"tags\": [\n21\t \"判客坚持\",\n22\t \"借力团队\",\n23\t \"团队氛围\",\n24\t \"工业地产销售\",\n25\t \"乡贤客户\",\n26\t \"长期跟进\"\n27\t ],\n28\t \"triggerSignals\": [\n29\t \"客户冷淡但未删微信\",\n30\t \"客户回乡过节\",\n31\t \"客户提到政府资源/被采访\",\n32\t \"老板+老板娘夫妻决策\"\n33\t ],\n34\t \"applicableWhenKeywords\": [\n35\t \"乡贤\",\n36\t \"罗源\",\n37\t \"家乡情怀\",\n38\t \"国高企业\",\n39\t \"投资不动产\",\n40\t \"政府认可\"\n41\t ],\n42\t \"notApplicableWhenKeywords\": [\n43\t \"急需客户\",\n44\t \"租期刚签\",\n45\t \"无家乡联结\"\n46\t ],\n47\t \"customerRole\": [\n48\t \"本地乡贤在外地发展\",\n49\t \"高客单价定制厂房采购方\"\n50\t ],\n51\t \"salesStage\": [\n52\t \"线索\",\n53\t \"立项\",\n54\t \"pitch\",\n55\t \"POC\",\n56\t \"招投标\",\n57\t \"成交\"\n58\t ],\n59\t \"problemType\": [\n60\t \"客户冷淡跟进\",\n61\t \"长期跟进维护\",\n62\t \"决策链复杂\",\n63\t \"客单价高决策周期长\"\n64\t ]\n65\t },\n66\t {\n67\t \"id\": \"K2J_B_2026_0619_001\",\n68\t \"type\": \"Belief\",\n69\t \"name\": \"商业模式匹配是真实卡点(消卡模式装不下高价课)\",\n70\t \"expert\": \"2026-06-19_expert-003\",\n71\t \"scenario\": \"卖高价培训课给酒店培训机构-商学院,客户以'预算有问题'为由黄单\",\n72\t \"score\": null,\n73\t \"tier\": \"\",\n74\t \"status\": \"pending-review\",\n75\t \"sensitivityLevel\": \"internal\",\n76\t \"episodeId\": \"E-2026-06-19-消卡模式\",\n77\t [truncated]","is_error":false},{"type":"tool_raw_result","tool_use_id":"call_00_Ygp1cnxDiuCryzlMZ2g16120","tool_name":"Read","raw_content":{"type":"text","text":"1\t{\n2\t \"version\": \"1.0\",\n3\t \"updatedAt\": \"2026-07-16T12:02:50.252539+00:00\",\n4\t \"cards\": [\n5\t {\n6\t \"id\": \"K2J_B_2026_0508_001\",\n7\t \"type\": \"Belief\",\n8\t \"name\": \"工业地产销售信念:判客坚持 + 借力团队 + 团队氛围(夏宇三大心法)\",\n9\t \"expert\": \"2026-05-08_xiayu-001\",\n10\t \"scenario\": \"罗源乡贤在外地发展(福州货架 top 3),购买台商项目 3+1 火车头厂房 8000㎡ 2200多万\",\n11\t \"score\": 0.92,\n12\t \"tier\": \"\",\n13\t \"status\": \"pending-review\",\n14\t \"sensitivityLevel\": \"internal\",\n15\t \"episodeId\": \"E-2026-05-08-钢结构火车头厂房-001\",\n16\t \"episodeTitle\": \"夏宇:1.5年长期跟进不锈钢货架客户成交钢结构火车头厂房\",\n17\t \"dominantLayer\": \"Dao\",\n18\t \"hasDaoSibling\": true,\n19\t \"path\": \"wiki/concepts/K2J_B_2026_0508_001.jsonld\",\n20\t \"tags\": [\n21\t \"判客坚持\",\n22\t \"借力团队\",\n23\t \"团队氛围\",\n24\t \"工业地产销售\",\n25\t \"乡贤客户\",\n26\t \"长期跟进\"\n27\t ],\n28\t \"triggerSignals\": [\n29\t \"客户冷淡但未删微信\",\n30\t \"客户回乡过节\",\n31\t \"客户提到政府资源/被采访\",\n32\t \"老板+老板娘夫妻决策\"\n33\t ],\n34\t \"applicableWhenKeywords\": [\n35\t \"乡贤\",\n36\t \"罗源\",\n37\t \"家乡情怀\",\n38\t \"国高企业\",\n39\t \"投资不动产\",\n40\t \"政府认可\"\n41\t ],\n42\t \"notApplicableWhenKeywords\": [\n43\t \"急需客户\",\n44\t \"租期刚签\",\n45\t \"无家乡联结\"\n46\t ],\n47\t \"customerRole\": [\n48\t \"本地乡贤在外地发展\",\n49\t \"高客单价定制厂房采购方\"\n50\t ],\n51\t \"salesStage\": [\n52\t \"线索\",\n53\t \"立项\",\n54\t \"pitch\",\n55\t \"POC\",\n56\t \"招投标\",\n57\t \"成交\"\n58\t ],\n59\t \"problemType\": [\n60\t \"客户冷淡跟进\",\n61\t \"长期跟进维护\",\n62\t \"决策链复杂\",\n63\t \"客单价高决策周期长\"\n64\t ]\n65\t },\n66\t {\n67\t \"id\": \"K2J_B_2026_0619_001\",\n68\t \"type\": \"Belief\",\n69\t \"name\": \"商业模式匹配是真实卡点(消卡模式装不下高价课)\",\n70\t \"expert\": \"2026-06-19_expert-003\",\n71\t \"scenario\": \"卖高价培训课给酒店培训机构-商学院,客户以'预算有问题'为由黄单\",\n72\t \"score\": null,\n73\t \"tier\": \"\",\n74\t \"status\": \"pending-review\",\n75\t \"sensitivityLevel\": \"internal\",\n76\t \"episodeId\": \"E-2026-06-19-消卡模式\",\n77\t \"episodeTitle\": \"酒店商学院黄单:从'预算问题'到'消卡模式装不下高价课'\",\n78\t \"dominantLayer\": \"Dao\",\n79\t \"hasDaoSibling\": true,\n80\t \"path\": \"wiki/concepts/K2J_B_2026_0619_001.jsonld\",\n81\t \"tags\": [\n82\t \"商业模式匹配\",\n83\t \"消卡模式\",\n84\t \"预算异议翻译\",\n85\t \"信念锚点\"\n86\t ],\n87\t \"triggerSignals\": [\n88\t \"客户说'预算有问题'\",\n89\t \"客户盈利模式是收会员费/消卡\"\n90\t ],\n91\t \"applicableWhenKeywords\": [\n92\t \"消卡\",\n93\t \"会员费\",\n94\t \"预算问题\",\n95\t \"盈利模式\"\n96\t ],\n97\t \"notApplicableWhenKeywords\": [\n98\t \"项目费\",\n99\t \"按人头付费\",\n100\t \"明确预算\"\n101\t ],\n102\t \"customerRole\": [\n103\t \"培训采购方\"\n104\t ],\n105\t \"salesStage\": [\n106\t \"pitch\"\n107\t ],\n108\t \"problemType\": [\n109\t \"商业模式不匹配\"\n110\t ]\n111\t },\n112\t {\n113\t \"id\": \"K2J_B_2026_0620_001\",\n114\t \"type\": \"Belief\",\n115\t \"name\": \"AI 产品销售信念:卖点必须锚定客户收益,用魔法打败魔法\",\n116\t \"expert\": \"2026-06-19_expert-002\",\n117\t \"scenario\": \"A\n[truncated]"}},{"type":"thinking","text":"Let me analyze what's available and relevant to \"客户谈判\":\n\nFilter by approved/published status first. The cards that are approved or published:\n\nLooking at the statuses:\n1. `K2J_B_2026_0508_001` - pending-review ❌\n2. `K2J_B_2026_0619_001` - pending-review ❌\n3. `K2J_B_2026_0620_001` - pending-review ❌\n4. `K2J_B_2026_0627_001` - draft ❌\n5. `K2J_R_2026_0508_001` - judged ❌\n6. `K2J_R_2026_0619_001` - published ✅\n7. `K2J_R_2026_0619_002` - published ✅\n8. `K2J_R_2026_0620_001` - judged ❌\n9. `K2J_R_2026_0627_001` - pending-review ❌\n10. `K2J_C_2026_0715_001` - draft ❌\n11. `K2J_B_2026_0716_001` - pending-review ❌\n12. `K2J_R_2026_0716_001` - pending-review ❌\n\nSo only two cards are published: `K2J_R_2026_0619_001` and `K2J_R_2026_0619_002`. Both are from the same episode \"E-2026-06-19-消卡模式\" - about training pricing/budget negotiation.\n\nNow let me match against \"客户谈判\" keywords:\n\nThe user asks about \"客户谈判\" (customer negotiation). Let me see which published cards match relevant keywords:\n\n- `K2J_R_2026_0619_001` (侧面探盈利模式判定报价区间): Tags include \"定价策略\", \"客户筛选\", \"盈利模式识别\". Trigger signals: \"客户说'贵'\", \"客户说'没钱'\", \"客户说'预算有问题'\". Problem type: \"定价/预算异议\". This is related to negotiation - handling pricing and budget objections.\n\n- `K2J_R_2026_0619_002` (筛客户筛长期资金来源): Tags include \"客户筛选\", \"长期合作\", \"资金来源评估\". Problem type: \"客户筛选\". This is less about negotiation directly but more about customer qualification.\n\nLet me also check the index for the Belief card in this episode (K2J_B_2026_0619_001) - it's pending-review, so I can't show it directly, but HC-8 says if a matching card is not Belief type, I should look for the Belief card in the same episode. Since the Belief card is pending-review, I need to note: \"这条经验背后的底层信念还在校核中,建议结合自身判断使用\"\n\nLet me read the two published card files to get their full content."},{"type":"text","text":"有匹配的结果,我来看一下详情。"},{"type":"tool_use","id":"call_00_oTrCRBopqcDdaW1I3or45739","name":"Read","input":{"file_path":"/home/forge/workspace/forgeworkspace/AI-Extraction-Engine/wiki/rules/K2J_R_2026_0619_001.jsonld"}},{"type":"tool_result","tool_use_id":"call_00_oTrCRBopqcDdaW1I3or45739","content":"1\t{\n2\t \"@context\": {\n3\t \"k2j\": \"https://schema.enterprise.ai/k2j/ontology/v1#\",\n4\t \"schema\": \"https://schema.org/\"\n5\t },\n6\t \"@type\": \"k2j:Rule\",\n7\t \"_archetypeRules\": {\n8\t \"archetype\": \"Rule\",\n9\t \"archetypeFile\": \"judgment.jsonld\",\n10\t \"requiredLayers\": [\n11\t \"Dao\",\n12\t \"Fa\",\n13\t \"Shu\"\n14\t ],\n15\t \"optionalLayers\": [\n16\t \"Ce\",\n17\t \"Qi\",\n18\t \"Keng\"\n19\t ],\n20\t \"boundaryRequired\": true,\n21\t \"quoteVerbatimRequired\": true,\n22\t \"dagDominantLayer\": \"Shu+Ce\"\n23\t },\n24\t \"knowledgeId\": \"K2J_R_2026_0619_001\",\n25\t \"schema:name\": \"侧面探盈利模式判定报价区间\",\n26\t \"schema:dateCreated\": \"2026-06-19\",\n27\t \"schema:dateModified\": \"2026-06-19\",\n28\t \"schema:author\": {\n29\t \"@id\": \"expert-003\"\n30\t },\n31\t \"businessContext\": {\n32\t \"k2j:role\": \"企业培训讲师\",\n33\t \"k2j:scenario\": \"卖高价培训课(1.5 万/天),客户说'预算有问题'时的定价决策\",\n34\t \"k2j:businessGoal\": \"识别客户'贵/没钱'背后的真实卡点,避免在不匹配的客户上花精力\",\n35\t \"k2j:fiveDimensions\": {\n36\t \"k2j:person\": \"培训采购方老板/商学院负责人\",\n37\t \"k2j:matter\": \"高价培训课销售\",\n38\t \"k2j:finance\": \"客户预算 + 盈利模式撑不撑得起高价\",\n39\t \"k2j:goods\": \"1.5 万/天的培训产品\",\n40\t \"k2j:field\": \"客户邀请讲师出场的那场活动\"\n41\t }\n42\t },\n43\t \"sixLayers\": {\n44\t \"k2j:daoBelief\": \"客户说'贵/没钱'不一定是预算问题,先别信表面理由——要探客户的盈利模式是否撑得起高价课\",\n45\t \"k2j:faFramework\": \"不从正面问'你怎么赚钱',而是围绕自己出场的那场活动侧面反推:来多少人、是不是缴费来的、场地贵不贵——拼出客户的盈利模式与成本结构,再定报价区间\",\n46\t \"k2j:shuTactics\": \"话术三连:'你们这场来多少人啊?''那他们都是缴费过来的吗?''这个酒店挺高级,也不便宜吧?'——用人数/付费/场地三个侧面信号反推客户盈利模式\",\n47\t \"k2j:ceStrategy\": \"IF 客户是免费组织、靠补贴运营 → THEN 盈利模式撑不起高价课,直接拒绝不报高价、不花力气\",\n48\t \"k2j:qiTool\": \"\",\n49\t \"k2j:kengTrap\": \"三个连体坑:① 没了解客户怎么赚钱就开始报价;② 没站在客户角度算他们成本;③ 只讲自己服务、只说自己价格\"\n50\t },\n51\t \"boundary\": {\n52\t \"k2j:applicableWhen\": \"客户主动找上门邀请讲师出场,且客户说出'贵/没钱/预算有问题'类理由时\",\n53\t \"k2j:notApplicableWhen\": \"客户是长期合作的老客户、盈利模式已知且匹配,不需要再探\",\n54\t \"k2j:associatedRisk\": \"若不探盈利模式直接报价 → 在不匹配客户身上花精力,最终因'模式装不下'黄单,时间沉没\"\n55\t },\n56\t \"dag\": {\n57\t \"k2j:dependsOn\": [],\n58\t \"k2j:requiredBy\": [\n59\t \"K2J_B_2026_0619_001\"\n60\t ],\n6 [truncated]","is_error":false},{"type":"tool_raw_result","tool_use_id":"call_00_oTrCRBopqcDdaW1I3or45739","tool_name":"Read","raw_content":{"type":"text","text":"1\t{\n2\t \"@context\": {\n3\t \"k2j\": \"https://schema.enterprise.ai/k2j/ontology/v1#\",\n4\t \"schema\": \"https://schema.org/\"\n5\t },\n6\t \"@type\": \"k2j:Rule\",\n7\t \"_archetypeRules\": {\n8\t \"archetype\": \"Rule\",\n9\t \"archetypeFile\": \"judgment.jsonld\",\n10\t \"requiredLayers\": [\n11\t \"Dao\",\n12\t \"Fa\",\n13\t \"Shu\"\n14\t ],\n15\t \"optionalLayers\": [\n16\t \"Ce\",\n17\t \"Qi\",\n18\t \"Keng\"\n19\t ],\n20\t \"boundaryRequired\": true,\n21\t \"quoteVerbatimRequired\": true,\n22\t \"dagDominantLayer\": \"Shu+Ce\"\n23\t },\n24\t \"knowledgeId\": \"K2J_R_2026_0619_001\",\n25\t \"schema:name\": \"侧面探盈利模式判定报价区间\",\n26\t \"schema:dateCreated\": \"2026-06-19\",\n27\t \"schema:dateModified\": \"2026-06-19\",\n28\t \"schema:author\": {\n29\t \"@id\": \"expert-003\"\n30\t },\n31\t \"businessContext\": {\n32\t \"k2j:role\": \"企业培训讲师\",\n33\t \"k2j:scenario\": \"卖高价培训课(1.5 万/天),客户说'预算有问题'时的定价决策\",\n34\t \"k2j:businessGoal\": \"识别客户'贵/没钱'背后的真实卡点,避免在不匹配的客户上花精力\",\n35\t \"k2j:fiveDimensions\": {\n36\t \"k2j:person\": \"培训采购方老板/商学院负责人\",\n37\t \"k2j:matter\": \"高价培训课销售\",\n38\t \"k2j:finance\": \"客户预算 + 盈利模式撑不撑得起高价\",\n39\t \"k2j:goods\": \"1.5 万/天的培训产品\",\n40\t \"k2j:field\": \"客户邀请讲师出场的那场活动\"\n41\t }\n42\t },\n43\t \"sixLayers\": {\n44\t \"k2j:daoBelief\": \"客户说'贵/没钱'不一定是预算问题,先别信表面理由——要探客户的盈利模式是否撑得起高价课\",\n45\t \"k2j:faFramework\": \"不从正面问'你怎么赚钱',而是围绕自己出场的那场活动侧面反推:来多少人、是不是缴费来的、场地贵不贵——拼出客户的盈利模式与成本结构,再定报价区间\",\n46\t \"k2j:shuTactics\": \"话术三连:'你们这场来多少人啊?''那他们都是缴费过来的吗?''这个酒店挺高级,也不便宜吧?'——用人数/付费/场地三个侧面信号反推客户盈利模式\",\n47\t \"k2j:ceStrategy\": \"IF 客户是免费组织、靠补贴运营 → THEN 盈利模式撑不起高价课,直接拒绝不报高价、不花力气\",\n48\t \"k2j:qiTool\": \"\",\n49\t \"k2j:kengTrap\": \"三个连体坑:① 没了解客户怎么赚钱就开始报价;② 没站在客户角度算他们成本;③ 只讲自己服务、只说自己价格\"\n50\t },\n51\t \"boundary\": {\n52\t \"k2j:applicableWhen\": \"客户主动找上门邀请讲师出场,且客户说出'贵/没钱/预算有问题'类理由时\",\n53\t \"k2j:notApplicableWhen\": \"客户是长期合作的老客户、盈利模式已知且匹配,不需要再探\",\n54\t \"k2j:associatedRisk\": \"若不探盈利模式直接报价 → 在不匹配客户身上花精力,最终因'模式装不下'黄单,时间沉没\"\n55\t },\n56\t \"dag\": {\n57\t \"k2j:dependsOn\": [],\n58\t \"k2j:requiredBy\": [\n59\t \"K2J_B_2026_0619_001\"\n60\t ],\n61\t \"k2j:topology\": \"Keng(只说自己) → Dao(探盈利模式) → Fa(侧面探) → Shu(三连话术) → Ce(IF 补贴模式→拒绝)\"\n62\t },\n63\t \"provenance\": {\n64\t \"k2j:sessionId\": \"2026-06-19_expert-003\",\n65\t \"k2j:episodeId\": \"E-2026-06-19-消卡模式\",\n66\t \"k2j:episodeTitle\": \"酒店商学院黄单:从'预算问题'到'消卡模式装不下高价课'\",\n67\t \"k2j:turns\": [\n68\t 12,\n69\t 14,\n70\t 16\n71\t ],\n72\t \"k2j:quoteVerbatim\": \"了解了客户的利润,才能找到自己的报价区间\",\n73\t \"k2j:inferredFields\": [],\n74\t \"k2j:judgeScore\": null,\n75\t \"k2j:judgeDetails\": {}\n76\t },\n77\t \"status\": \"published\",\n78\t \"sensitivityLevel\": \"internal\",\n79\t \"trainingMaterial\": {\n80\t \"三板斧\": [\n81\t {\n82\t \"order\": \"第一斧\",\n83\t \"trick\": \"抛人数\",\n84\t \"purpose\": \"摸活动规模,推算客户付费能力\",\n85\t \"example\": \"你们这场来多少人啊?\"\n86\t },\n87\t {\n88\t \"order\": \"第二斧\",\n89\t \"trick\": \"抛付费\",\n90\t \"purpose\": \"判断客户盈利模式:会员费/项目费/补贴\",\n91\t \"example\": \"他们都是缴费过来的吗?\"\n92\t },\n93\t {\n94\t \"order\": \"第三斧\",\n95\t \"trick\": \"抛场地\",\n96\t \"purpose\": \"侧\n[truncated]"}},{"type":"tool_use","id":"call_01_jdpOk8FrpIlEspmXoVjF4326","name":"Read","input":{"file_path":"/home/forge/workspace/forgeworkspace/AI-Extraction-Engine/wiki/rules/K2J_R_2026_0619_002.jsonld"}},{"type":"tool_result","tool_use_id":"call_01_jdpOk8FrpIlEspmXoVjF4326","content":"1\t{\n2\t \"@context\": {\n3\t \"k2j\": \"https://schema.enterprise.ai/k2j/ontology/v1#\",\n4\t \"schema\": \"https://schema.org/\"\n5\t },\n6\t \"@type\": \"k2j:Rule\",\n7\t \"_archetypeRules\": {\n8\t \"archetype\": \"Rule\",\n9\t \"archetypeFile\": \"judgment.jsonld\",\n10\t \"requiredLayers\": [\n11\t \"Dao\",\n12\t \"Fa\",\n13\t \"Shu\"\n14\t ],\n15\t \"optionalLayers\": [\n16\t \"Ce\",\n17\t \"Qi\",\n18\t \"Keng\"\n19\t ],\n20\t \"boundaryRequired\": true,\n21\t \"quoteVerbatimRequired\": true,\n22\t \"dagDominantLayer\": \"Shu+Ce\"\n23\t },\n24\t \"knowledgeId\": \"K2J_R_2026_0619_002\",\n25\t \"schema:name\": \"筛客户筛长期资金来源(不只看当下能不能买)\",\n26\t \"schema:dateCreated\": \"2026-06-19\",\n27\t \"schema:dateModified\": \"2026-06-19\",\n28\t \"schema:author\": {\n29\t \"@id\": \"expert-003\"\n30\t },\n31\t \"businessContext\": {\n32\t \"k2j:role\": \"企业培训讲师\",\n33\t \"k2j:scenario\": \"决定是否接一单培训时,不只评估'当下能不能成交',还评估'客户有没有持续资金来源、能不能长期合作'\",\n34\t \"k2j:businessGoal\": \"筛掉'当下能买但长期没粮草'的客户,把精力留给能做长期合作的客户\",\n35\t \"k2j:fiveDimensions\": {\n36\t \"k2j:person\": \"潜在长期客户\",\n37\t \"k2j:matter\": \"客户筛选/长期合作评估\",\n38\t \"k2j:finance\": \"客户的长期资金来源、续费/复购能力\",\n39\t \"k2j:goods\": \"可复购的培训服务\",\n40\t \"k2j:field\": \"客户筛选窗口期\"\n41\t }\n42\t },\n43\t \"sixLayers\": {\n44\t \"k2j:daoBelief\": \"筛客户筛的是两件事:① 现在买不买得起 ② 以后养不养得起。两者都满足才能长期合作\",\n45\t \"k2j:faFramework\": \"把客户筛选从'当下购买力'扩展到'长期资金来源':即使当下能成交,若客户无持续资金来源,转化了也做不成长期合作\",\n46\t \"k2j:shuTactics\": \"在销售前期询问客户后续运营/复购/续费的资金来源——如客户组织免费活动、靠补贴、无稳定营收 → 警报长期合作不可持续\",\n47\t \"k2j:ceStrategy\": \"IF 客户长期没资金来源(靠补贴/免费组织/无复购来源) → THEN 即使当下能成交也评估是否拒绝,避免转化后做不成长期合作\",\n48\t \"k2j:qiTool\": \"\",\n49\t \"k2j:kengTrap\": \"只看单次成交不看长期养得起 → 转化后客户没粮草、做不成长期合作,前期投入的精力沉没\"\n50\t },\n51\t \"boundary\": {\n52\t \"k2j:applicableWhen\": \"评估是否接单/是否长期跟进某客户时\",\n53\t \"k2j:notApplicableWhen\": \"客户是单次项目型合作(本来就是一锤子买卖,不追求长期)\",\n54\t \"k2j:associatedRisk\": \"若只看当下购买力 → 接了'当下能买但长期没粮草'的单,前期投入无法摊销到长期合作上\"\n55\t },\n56\t \"dag\": {\n57\t \"k2j:dependsOn\": [\n58\t \"K2J_B_2026_0619_001\"\n59\t ],\n60\t \"k2j:requiredBy\": [],\n61\t \"k2j:topology\": \"Dao(双筛:当下+长期) → [truncated]","is_error":false},{"type":"tool_raw_result","tool_use_id":"call_01_jdpOk8FrpIlEspmXoVjF4326","tool_name":"Read","raw_content":{"type":"text","text":"1\t{\n2\t \"@context\": {\n3\t \"k2j\": \"https://schema.enterprise.ai/k2j/ontology/v1#\",\n4\t \"schema\": \"https://schema.org/\"\n5\t },\n6\t \"@type\": \"k2j:Rule\",\n7\t \"_archetypeRules\": {\n8\t \"archetype\": \"Rule\",\n9\t \"archetypeFile\": \"judgment.jsonld\",\n10\t \"requiredLayers\": [\n11\t \"Dao\",\n12\t \"Fa\",\n13\t \"Shu\"\n14\t ],\n15\t \"optionalLayers\": [\n16\t \"Ce\",\n17\t \"Qi\",\n18\t \"Keng\"\n19\t ],\n20\t \"boundaryRequired\": true,\n21\t \"quoteVerbatimRequired\": true,\n22\t \"dagDominantLayer\": \"Shu+Ce\"\n23\t },\n24\t \"knowledgeId\": \"K2J_R_2026_0619_002\",\n25\t \"schema:name\": \"筛客户筛长期资金来源(不只看当下能不能买)\",\n26\t \"schema:dateCreated\": \"2026-06-19\",\n27\t \"schema:dateModified\": \"2026-06-19\",\n28\t \"schema:author\": {\n29\t \"@id\": \"expert-003\"\n30\t },\n31\t \"businessContext\": {\n32\t \"k2j:role\": \"企业培训讲师\",\n33\t \"k2j:scenario\": \"决定是否接一单培训时,不只评估'当下能不能成交',还评估'客户有没有持续资金来源、能不能长期合作'\",\n34\t \"k2j:businessGoal\": \"筛掉'当下能买但长期没粮草'的客户,把精力留给能做长期合作的客户\",\n35\t \"k2j:fiveDimensions\": {\n36\t \"k2j:person\": \"潜在长期客户\",\n37\t \"k2j:matter\": \"客户筛选/长期合作评估\",\n38\t \"k2j:finance\": \"客户的长期资金来源、续费/复购能力\",\n39\t \"k2j:goods\": \"可复购的培训服务\",\n40\t \"k2j:field\": \"客户筛选窗口期\"\n41\t }\n42\t },\n43\t \"sixLayers\": {\n44\t \"k2j:daoBelief\": \"筛客户筛的是两件事:① 现在买不买得起 ② 以后养不养得起。两者都满足才能长期合作\",\n45\t \"k2j:faFramework\": \"把客户筛选从'当下购买力'扩展到'长期资金来源':即使当下能成交,若客户无持续资金来源,转化了也做不成长期合作\",\n46\t \"k2j:shuTactics\": \"在销售前期询问客户后续运营/复购/续费的资金来源——如客户组织免费活动、靠补贴、无稳定营收 → 警报长期合作不可持续\",\n47\t \"k2j:ceStrategy\": \"IF 客户长期没资金来源(靠补贴/免费组织/无复购来源) → THEN 即使当下能成交也评估是否拒绝,避免转化后做不成长期合作\",\n48\t \"k2j:qiTool\": \"\",\n49\t \"k2j:kengTrap\": \"只看单次成交不看长期养得起 → 转化后客户没粮草、做不成长期合作,前期投入的精力沉没\"\n50\t },\n51\t \"boundary\": {\n52\t \"k2j:applicableWhen\": \"评估是否接单/是否长期跟进某客户时\",\n53\t \"k2j:notApplicableWhen\": \"客户是单次项目型合作(本来就是一锤子买卖,不追求长期)\",\n54\t \"k2j:associatedRisk\": \"若只看当下购买力 → 接了'当下能买但长期没粮草'的单,前期投入无法摊销到长期合作上\"\n55\t },\n56\t \"dag\": {\n57\t \"k2j:dependsOn\": [\n58\t \"K2J_B_2026_0619_001\"\n59\t ],\n60\t \"k2j:requiredBy\": [],\n61\t \"k2j:topology\": \"Dao(双筛:当下+长期) → Fa(扩到长期资金来源) → Shu(问续费/复购来源) → Ce(IF 无长期资金→评估拒绝)\"\n62\t },\n63\t \"provenance\": {\n64\t \"k2j:sessionId\": \"2026-06-19_expert-003\",\n65\t \"k2j:episodeId\": \"E-2026-06-19-消卡模式\",\n66\t \"k2j:episodeTitle\": \"酒店商学院黄单:从'预算问题'到'消卡模式装不下高价课'\",\n67\t \"k2j:turns\": [\n68\t 18,\n69\t 19\n70\t ],\n71\t \"k2j:quoteVerbatim\": \"长期客户没有资金来源的话,来的客户也很难转化,也不能长期合作\",\n72\t \"k2j:inferredFields\": [],\n73\t \"k2j:judgeScore\": null,\n74\t \"k2j:judgeDetails\": {}\n75\t },\n76\t \"status\": \"published\",\n77\t \"sensitivityLevel\": \"internal\",\n78\t \"trainingMaterial\": {\n79\t \"场景策略\": [\n80\t {\n81\t \"scene\": \"客户当下能买,但长期没资金来源(靠补贴/免费组织/无复购来源)\",\n82\t \"warning\": \"别只看单次成交,要评估客户能不能长期合作——转化后没粮草,前期投入的精力全沉没\",\n83\t \"solution\": \"在销售前期就问客户后续运营/复购/续费的资金来源。若无稳定来源,即使当下能成交也评估是否拒绝:'这种模式短期内可以接一次,但长期合作我这边养不起,我先帮您介绍更合适的'\",\n84\t \"principle\": \"筛客户筛两件事:① 现在买不买得起 ② 以后养不养得起。两者都满足才能长期合作\"\n85\t }\n86\t ],\n87\t \"狠招\": [\n88\t {\n89\t \"title\": \"把'长期资金来源'当前置筛选,放弃当下能成交但不长期的单\",\n90\t \"content\": \"新人最容易贪'\n[truncated]"}},{"type":"thinking","text":"The user asked about \"客户谈判\" (customer negotiation). Let me analyze what I've found:\n\nFrom the index, only two cards are published (approved/published status):\n1. `K2J_R_2026_0619_001` - \"侧面探盈利模式判定报价区间\" (published) - about pricing negotiation\n2. `K2J_R_2026_0619_002` - \"筛客户筛长期资金来源\" (published) - about customer screening\n\nBoth are from the same episode \"E-2026-06-19-消卡模式\" with episodeTitle \"酒店商学院黄单:从'预算问题'到'消卡模式装不下高价课'\"\n\nThe user asked about \"客户谈判\" - this is somewhat related to both cards, especially the first one about handling pricing/budget objections during negotiation.\n\nNow I need to follow the Skill instructions:\n\n**Step 4: Episode 补全 (HC-8)**\nBoth cards are Rule type (not Belief/dominantLayer not Dao), so I need episode completion:\n- EpisodeId: \"E-2026-06-19-消卡模式\"\n- The Belief card in this episode is `K2J_B_2026_0619_001` with status \"pending-review\"\n- Since the Belief card is pending-review (not approved/published), I need to note: \"这条经验背后的底层信念还在校核中,建议结合自身判断使用\"\n\nLet me now present the findings to the user in the required format. Both cards are from the same episode so I should group them under one episode.\n\nLet me format the output following the template in the skill:\n\n找到 N 条相关经验:\n\n━━━ 经验 1:[episodeTitle] ━━━\n\n💡 底层信念:\n[daoBelief 内容, but since the Belief card is pending-review...]\n\nActually, I should present this carefully. Let me organize both cards together since they're from the same episode.\n\nThe sixLayers from the two cards complement each other:\n- Card 1 (K2J_R_2026_0619_001): 侧面探盈利模式判定报价区间\n - Dao: 客户说'贵/没钱'不一定是预算问题,先别信表面理由——要探客户的盈利模式是否撑得起高价课\n - Fa: 不从正面问'你怎么赚钱',而是围绕自己出场的那场活动侧面反推...\n - Shu: 话术三连...\n - Ce: IF 客户是免费组织、靠补贴运营 → THEN 拒绝\n - Keng: 三个连体坑\n\n- Card 2 (K2J_R_2026_0619_002): 筛客户筛长期资金来源\n - Dao: 筛客户筛的是两件事:① 现在买不买得起 ② 以后养不养得起\n - Fa: 把客户筛选从'当下购买力'扩展到'长期资金来源'\n - Shu: 在销售前期询问客户后续运营/复购/续费的资金来源\n - Ce: IF 客户长期没资金来源 → THEN 评估是否拒绝\n - Keng: 只看单次成交不看长期养得起\n\nLet me present them as one episode with combined layers, and note the Belief card is pending-review."},{"type":"text","text":"找到 1 组相关经验(2 条知识卡,来自同一位专家的同一次萃取):\n\n━━━ 经验:酒店商学院黄单——从\"预算问题\"到\"消卡模式装不下高价课\" ━━━\n\n💡 底层信念:\n这条经验的底层信念还在校核中(尚未发布),建议结合自身判断使用。\n\n📋 方法框架:\n- **侧面探盈利模式**:不从正面问\"你怎么赚钱\",而是围绕自己出场的那场活动侧面反推——来多少人、是不是缴费来的、场地贵不贵,拼出客户的盈利模式与成本结构,再定报价区间\n- **双筛客户**:筛客户筛两件事——① 现在买不买得起;② 以后养不养得起。两者都满足才能长期合作\n\n⚡ 具体做法:\n- **话术三连**(探价格底线):\n - \"你们这场来多少人啊?\"——摸活动规模\n - \"那他们都是缴费过来的吗?\"——判断盈利模式\n - \"这个酒店挺高级,也不便宜吧?\"——估算成本结构\n- **后续问法**:在销售前期询问客户后续运营/复购/续费的资金来源——如果客户靠补贴、免费组织、无稳定营收,说明长期合作不可持续\n\n🔀 策略:\n- IF 客户是免费组织、靠补贴运营 → THEN 盈利模式撑不起高价课,直接拒绝不报高价、不花力气\n- IF 客户长期没资金来源 → THEN 即使当下能成交也评估是否拒绝,避免转化后做不成长期合作\n\n⚠️ 注意:\n- 没了解客户怎么赚钱就开始报价\n- 只讲自己服务、只说自己价格\n- 只看单次成交不看长期养得起\n\n🔍 适用于:客户说\"贵/没钱/预算有问题\"时;评估是否接长期客户时\n🚫 不适用:客户是长期合作老客户、盈利模式已知且匹配;一锤子买卖\n\n💬 专家原话:\"了解了客户的利润,才能找到自己的报价区间\" / \"长期客户没有资金来源的话,来的客户也很难转化,也不能长期合作\"\n\n━━━━━━━━━━━━━━━━\n\n要看更多细节跟我说\"展开经验 1\",想看其他主题的经验直接问我。"}]...
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2026-07-30 10:35:24
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[{"type":"text","text": [{"type":"text","text":"客户谈判"}]...
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2026-07-30 10:35:06
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[{"type":"thinking","text" [{"type":"thinking","text":"The user wants to query knowledge (查询知识). I need to invoke the relevant skill. From the available skills list, I see:\n\n- `cuiqu-consult`: 查询已发布的经验知识。当用户说「查知识」「问一下」「有没有关于XX的经验」「遇到XX怎么办」「查经验」时触发。按场景/角色/阶段匹配知识卡,自动做 HC-8 episode 补全召回(查到\"术\"时连带给出\"道\")。\n\nThe user said \"查询知识\" which matches the trigger for `cuiqu-consult`. Let me invoke this skill."},{"type":"thinking","text":"The user wants to query knowledge (查询知识). I need to invoke the relevant skill. From the available skills list, I see:\n\n- `cuiqu-consult`: 查询已发布的经验知识。当用户说「查知识」「问一下」「有没有关于XX的经验」「遇到XX怎么办」「查经验」时触发。按场景/角色/阶段匹配知识卡,自动做 HC-8 episode 补全召回(查到\"术\"时连带给出\"道\")。\n\nThe user said \"查询知识\" which matches the trigger for `cuiqu-consult`. Let me invoke this skill."},{"type":"tool_use","id":"call_00_8tvRR4B46zSwRd8IZhIm5556","name":"Skill","input":{"skill":"cuiqu-consult"}},{"type":"tool_result","tool_use_id":"call_00_8tvRR4B46zSwRd8IZhIm5556","content":"Launching skill: cuiqu-consult","is_error":false},{"type":"tool_raw_result","tool_use_id":"call_00_8tvRR4B46zSwRd8IZhIm5556","tool_name":"Skill","raw_content":{"type":"text","text":"Launching skill: cuiqu-consult"}},{"type":"thinking","text":"The user wants to query knowledge. Let me follow the cuiqu-consult skill steps. But first, I need to understand what the user is looking for. They just said \"查询知识\" without specifying what they want to know. Let me ask them what they want to know about.\n\nActually, let me start by checking if there's an index file to search from. Let me first read the wiki/index.json to see what's available."},{"type":"text","text":"好的,我来查知识!你想查哪方面的经验?比如:\n\n- 遇到什么具体场景的问题?(例如跟客户谈判、做 POC、处理压价等等)\n- 想查哪个销售阶段的经验?(线索、立项、POC、招投标、成交、交付)\n- 或者直接告诉我你想了解什么,我来匹配最相关的知识卡\n\n跟我说说你的情况~"}]...
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2026-07-30 10:34:55
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[{"type":"text","text": [{"type":"text","text":"查询知识"}]...
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2026-07-30 10:34:50
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[{"type":"thinking","text" [{"type":"thinking","text":"The user is asking about my capabilities. According to CLAUDE.md, when a user sends an initialization message like \"你好\", \"hi\", \"你是谁\", \"能干什么\", \"开始\", I should respond with the greeting protocol. The user said \"你有什么能力\" which is essentially asking \"what can you do\" - same as \"能干什么\". Let me follow the greeting protocol."},{"type":"thinking","text":"The user is asking about my capabilities. According to CLAUDE.md, when a user sends an initialization message like \"你好\", \"hi\", \"你是谁\", \"能干什么\", \"开始\", I should respond with the greeting protocol. The user said \"你有什么能力\" which is essentially asking \"what can you do\" - same as \"能干什么\". Let me follow the greeting protocol."},{"type":"text","text":"你好!我是**小伴**,你的经验萃取助手。\n\n我能帮你做以下几件事:\n\n**1. 定位萃取方向** — 如果你还不确定该萃取什么经验,我可以帮你做需求诊断,找到最有价值的主题和专家人选\n\n**2. 深度访谈专家** — 跟专家一对一把他们脑子里的隐性经验聊出来,挖出那些判断决策的逻辑和方法\n\n**3. 整理成知识卡片** — 自动把访谈内容按\"道法术策器坑\"六个层次结构化,生成 JSON-LD 知识卡\n\n**4. 导出成果文档** — 生成摘要、完整报告、新人手册,方便团队分享和学习\n\n**5. 审核发布** — 帮 HR 同事逐张审核知识卡,确认内容准确后正式发布\n\n**6. 查询知识** — 随时查已经整理好的经验,遇到问题直接问我\n\n想试试哪个?跟我说就行,我来引导你。"}]...
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2026-07-30 10:34:07
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[{"type":"text","text": [{"type":"text","text":"你有什么能力"}]...
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2026-07-30 10:34:03
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[{"type":"thinking","text" [{"type":"thinking","text":"The user is asking about my capabilities. According to the CLAUDE.md greeting protocol, when the user sends a message like \"你有什么能力\" or similar, I should respond with the standard greeting that introduces \"小伴\" and lists what I can do. Let me follow the greeting protocol."},{"type":"thinking","text":"The user is asking about my capabilities. According to the CLAUDE.md greeting protocol, when the user sends a message like \"你有什么能力\" or similar, I should respond with the standard greeting that introduces \"小伴\" and lists what I can do. Let me follow the greeting protocol."},{"type":"text","text":"你好!我是**小伴**。\n\n我能帮你做这些事:\n\n1. **发起一次经验梳理** — 聊几句就能帮你定位到最有价值的方向,适合不清楚\"该萃取什么\"的时候\n2. **跟专家做深度访谈** — 把他们的判断经验一点点聊出来,挖出那些藏在脑子里的决策逻辑\n3. **把访谈内容整理成结构化的知识卡片** — 自动按\"道法术策器坑\"六个层次编排\n4. **生成不同格式的成果文档** — 摘要版、完整版、新人手册,方便团队分享和学习\n5. **帮 HR 同事审核知识卡** — 逐张确认内容准确后正式发布\n6. **随时查询已经整理好的经验知识** — 遇到问题直接问我\n\n想试试哪个?直接跟我说就行,我来引导你走完整个过程。"}]...
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2026-07-30 10:33:38
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[{"type":"text","text": [{"type":"text","text":"你有什么能力"}]...
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2026-07-30 10:33:34
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[{"type":"thinking","text" [{"type":"thinking","text":"The user just said \"哈哈\" (haha/laughing). This seems like a casual greeting or just laughing. Let me respond appropriately based on the project context.\n\nLooking at the CLAUDE.md, I have a greeting protocol defined. Since the user is already familiar (小郭 from the memory), and they just said \"哈哈\", I should keep it light and casual rather than launching into the full introduction.\n\nLet me just respond naturally and ask if they want to do anything."},{"type":"thinking","text":"The user just said \"哈哈\" (haha/laughing). This seems like a casual greeting or just laughing. Let me respond appropriately based on the project context.\n\nLooking at the CLAUDE.md, I have a greeting protocol defined. Since the user is already familiar (小郭 from the memory), and they just said \"哈哈\", I should keep it light and casual rather than launching into the full introduction.\n\nLet me just respond naturally and ask if they want to do anything."},{"type":"text","text":"哈哈,小郭,今天有什么想聊的?还是想继续推进经验萃取?"}]...
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2026-07-30 10:33:17
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[{"type":"text","text": [{"type":"text","text":"哈哈"}]...
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2026-07-30 10:33:13
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[{"type":"thinking","text" [{"type":"thinking","text":"The user has sent an image (WechatIMG149.jpeg) along with a greeting. Let me look at the image to understand what it contains before responding.\n\nLet me first read the image to understand what they're sharing."},{"type":"thinking","text":"The user has sent an image (WechatIMG149.jpeg) along with a greeting. Let me look at the image to understand what it contains before responding.\n\nLet me first read the image to understand what they're sharing."},{"type":"tool_use","id":"call_00_1AsTmg4lqZTg56vi2uOz2019","name":"Read","input":{"file_path":"/home/forge/.forge/uploads/ce545143_WechatIMG149.jpeg"}},{"type":"tool_result","tool_use_id":"call_00_1AsTmg4lqZTg56vi2uOz2019","content":"[{\"type\":\"image\",\"source\":{\"type\":\"base64\",\"data\":\"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","is_error":false},{"type":"tool_raw_result","tool_use_id":"call_00_1AsTmg4lqZTg56vi2uOz2019","tool_name":"Read","raw_content":{"type":"text","text":"(empty result)"}},{"type":"thinking","text":"The image couldn't be read directly. Let me try using the browser screenshot tool or some other approach to view it. Actually, the image was also sent via vision (as mentioned in the system prompt), so let me check if I can see it.\n\nWait, the system prompt says \"(The image is also sent via vision above; use Read tool on this path if vision fails)\". Since Read failed, let me try to describe what I can see... Actually, I don't have access to vision in this context directly. Let me try a different approach.\n\nLet me try using the browser to navigate to the file or take a screenshot approach. Actually, let me just try the bash approach to check the file."},{"type":"tool_use","id":"call_00_wl76MpAzX5Czhy5cCnTg2082","name":"Bash","input":{"command":"file /home/forge/.forge/uploads/ce545143_WechatIMG149.jpeg && ls -la /home/forge/.forge/uploads/ce545143_WechatIMG149.jpeg","description":"Check the uploaded image file"}},{"type":"tool_result","tool_use_id":"call_00_wl76MpAzX5Czhy5cCnTg2082","content":"/home/forge/.forge/uploads/ce545143_WechatIMG149.jpeg: JPEG image data, JFIF standard 1.01, aspect ratio, density 72x72, segment length 16, Exif Standard: [TIFF image data, big-endian, direntries=2, orientation=upper-left], baseline, precision 8, 1394x1080, components 3\n-rw-rw-r-- 1 forge forge 165618 Jul 30 14:34 /home/forge/.forge/uploads/ce545143_WechatIMG149.jpeg","is_error":false},{"type":"tool_raw_result","tool_use_id":"call_00_wl76MpAzX5Czhy5cCnTg2082","tool_name":"Bash","raw_content":{"type":"text","text":"/home/forge/.forge/uploads/ce545143_WechatIMG149.jpeg: JPEG image data, JFIF standard 1.01, aspect ratio, density 72x72, segment length 16, Exif Standard: [TIFF image data, big-endian, direntries=2, orientation=upper-left], baseline, precision 8, 1394x1080, components 3\n-rw-rw-r-- 1 forge forge 165618 Jul 30 14:34 /home/forge/.forge/uploads/ce545143_WechatIMG149.jpeg"}},{"type":"thinking","text":"The file is a valid JPEG image (1394x1080 pixels). It was supposed to be sent via vision, but I can't see it. Let me try a different approach - maybe I can convert it or use python to extract text from it somehow.\n\nActually, looking more carefully, the system prompt says \"(The image is also sent via vision above; use Read tool on this path if vision fails)\". This implies there should be vision content. Let me look at the message more carefully - the user just sent an image with no text. The image is a WeChat screenshot (WechatIMG149.jpeg). \n\nSince I can't see the image content directly, let me try using Python with OCR to extract text from it."},{"type":"tool_use","id":"call_00_IxOLQCtFnAZIK5sNa01c3372","name":"Bash","input":{"command":"which tesseract 2>/dev/null || which pytesseract 2>/dev/null || pip list 2>/dev/null | grep -i ocr || echo \"no OCR available\"","description":"Check if OCR tools are available"}},{"type":"tool_result","tool_use_id":"call_00_IxOLQCtFnAZIK5sNa01c3372","content":"no OCR available","is_error":false},{"type":"tool_raw_result","tool_use_id":"call_00_IxOLQCtFnAZIK5sNa01c3372","tool_name":"Bash","raw_content":{"type":"text","text":"no OCR available"}},{"type":"thinking","text":"Let me try to use Python with PIL to process the image and maybe use some library to extract text. Or I could try to convert the image to a format that might be viewable. Let me try using Python's PIL to at least get some info about the image content."},{"type":"tool_use","id":"call_00_0btQjK5kxkdpv3rJmK5R3648","name":"Bash","input":{"command":"cd /home/forge/.forge/uploads && python3 -c \"\nfrom PIL import Image\nimg = Image.open('ce545143_WechatIMG149.jpeg')\nprint(f'Size: {img.size}')\nprint(f'Mode: {img.mode}')\n\n# Convert to PNG and try to get some info\nimg.save('/tmp/wechat_img.png')\nprint('Saved as PNG')\n\" 2>&1","description":"Analyze image with PIL"}},{"type":"tool_result","tool_use_id":"call_00_0btQjK5kxkdpv3rJmK5R3648","content":"Exit code 1\nTraceback (most recent call last):\n File \"<string>\", line 2, in <module>\nModuleNotFoundError: No module named 'PIL'","is_error":true},{"type":"tool_raw_result","tool_use_id":"call_00_0btQjK5kxkdpv3rJmK5R3648","tool_name":"Bash","raw_content":{"type":"text","text":"Exit code 1\nTraceback (most recent call last):\n File \"<string>\", line 2, in <module>\nModuleNotFoundError: No module named 'PIL'"}},{"type":"tool_use","id":"call_00_ET_0YShhIKf00uQxZEQAimf1893","name":"Bash","input":{"command":"pip install Pillow 2>&1 | tail -3","description":"Install Pillow"}},{"type":"tool_result","tool_use_id":"call_00_ET_0YShhIKf00uQxZEQAimf1893","content":"Command did not complete within its 120s timeout and was moved to the background (ID: bm15udyxr). Output is being written to: /tmp/claude-1000/-home-forge-workspace-forgeworkspace-AI-Extraction-Engine/842e33cc-5d8a-4737-995c-cdf931e885e5/tasks/bm15udyxr.output. You will be notified when it completes. To check interim output, use Read on that file path.","is_error":false},{"type":"tool_raw_result","tool_use_id":"call_00_ET_0YShhIKf00uQxZEQAimf1893","tool_name":"Bash","raw_content":{"type":"text","text":"Command did not complete within its 120s timeout and was moved to the background (ID: bm15udyxr). Output is being written to: /tmp/claude-1000/-home-forge-workspace-forgeworkspace-AI-Extraction-Engine/842e33cc-5d8a-4737-995c-cdf931e885e5/tasks/bm15udyxr.output. You will be notified when it completes. To check interim output, use Read on that file path."}},{"type":"thinking","text":"Let me take a screenshot of the image using the browser tool to view it."},{"type":"tool_use","id":"call_00_V1oSncziXVvJcHkOm6Xf9711","name":"Bash","input":{"command":"which convert 2>/dev/null && convert /home/forge/.forge/uploads/ce545143_WechatIMG149.jpeg /tmp/wechat_img.png && echo \"converted\" || echo \"no imagemagick\"","description":"Try ImageMagick to convert"}},{"type":"tool_result","tool_use_id":"call_00_V1oSncziXVvJcHkOm6Xf9711","content":"no imagemagick","is_error":false},{"type":"tool_raw_result","tool_use_id":"call_00_V1oSncziXVvJcHkOm6Xf9711","tool_name":"Bash","raw_content":{"type":"text","text":"no imagemagick"}},{"type":"thinking","text":"Let me wait for Pillow to install and then use it. But this might take a while. Let me check if it's done yet."},{"type":"tool_use","id":"call_00_EKuWEsFkY2tD0BxBO0Hv5634","name":"Read","input":{"file_path":"/tmp/claude-1000/-home-forge-workspace-forgeworkspace-AI-Extraction-Engine/842e33cc-5d8a-4737-995c-cdf931e885e5/tasks/bm15udyxr.output"}},{"type":"tool_result","tool_use_id":"call_00_EKuWEsFkY2tD0BxBO0Hv5634","content":"<system-reminder>Warning: the file exists but the contents are empty.</system-reminder>","is_error":false},{"type":"tool_raw_result","tool_use_id":"call_00_EKuWEsFkY2tD0BxBO0Hv5634","tool_name":"Read","raw_content":{"type":"text","text":"<system-reminder>Warning: the file exists but the contents are empty.</system-reminder>"}},{"type":"thinking","text":"Let me try another approach. I can open the image in the browser tool to view it."},{"type":"tool_use","id":"call_00_cLp0ogcLmZnRwvPm8o4c3351","name":"Bash","input":{"command":"python3 -c \"import base64; print(base64.b64encode(open('/home/forge/.forge/uploads/ce545143_WechatIMG149.jpeg','rb').read()[:100]))\" 2>&1","description":"Quick check if base64 works"}},{"type":"tool_result","tool_use_id":"call_00_cLp0ogcLmZnRwvPm8o4c3351","content":"b'/9j/4AAQSkZJRgABAQAASABIAAD/4QBYRXhpZgAATU0AKgAAAAgAAgESAAMAAAABAAEAAIdpAAQAAAABAAAAJgAAAAAAA6ABAAMAAAAB//8AAKACAAQAAAABAAAFcqADAAQAAA=='","is_error":false},{"type":"tool_raw_result","tool_use_id":"call_00_cLp0ogcLmZnRwvPm8o4c3351","tool_name":"Bash","raw_content":{"type":"text","text":"b'/9j/4AAQSkZJRgABAQAASABIAAD/4QBYRXhpZgAATU0AKgAAAAgAAgESAAMAAAABAAEAAIdpAAQAAAABAAAAJgAAAAAAA6ABAAMAAAAB//8AAKACAAQAAAABAAAFcqADAAQAAA=='"}},{"type":"thinking","text":"OK, I can't easily view the image through the available tools. But the image was sent \"via vision above\" according to the system prompt. So maybe I should just ask the user what the image contains since I can't view it.\n\nActually, wait - the system says \"(The image is also sent via vision above; use Read tool on this path if vision fails)\". This suggests that normally the vision capability of Claude would see the image, but it seems it didn't work in this case. Let me just ask the user what they shared."},{"type":"text","text":"嗨!我看到你发了一张图片,但我的视觉功能目前好像没能读取到它的内容。方便告诉我这张截图是关于什么的吗?这样我才能帮你处理~"}]...
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2026-07-30 06:36:56
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f96775d5-0f49-42c0-9081-31f0ce7ec797
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842e33cc-5d8a-4737-995c-cdf931e885e5
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[{"type":"text","text": [{"type":"text","text":"[WechatIMG149.jpeg]"},{"type":"image_attachment","url":"/api/upload/ce545143_WechatIMG149.jpeg","name":"WechatIMG149.jpeg"}]...
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2026-07-30 06:34:29
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fb95402e-3689-4f60-b694-5b8b40aafdce
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7d91c591-f3b2-4439-ae42-189eede0430f
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[{"type":"thinking","text" [{"type":"thinking","text":"The user greeted with \"你好啊\". Per CLAUDE.md greeting protocol, I should output the greeting.\n\nKeep it short as instructed."},{"type":"thinking","text":"The user greeted with \"你好啊\". Per CLAUDE.md greeting protocol, I should output the greeting.\n\nKeep it short as instructed."},{"type":"text","text":"你好!我是**小伴**。\n\n我能帮你做这些事:\n1. 发起一次经验梳理 — 聊几句就能帮你定位到最有价值的方向\n2. 跟专家做深度访谈 — 把他们的判断经验一点点聊出来\n3. 把访谈内容整理成结构化的知识卡片\n4. 生成不同格式的成果文档,方便团队分享和学习\n5. 帮 HR 同事审核知识卡,确认内容准确后正式发布\n6. 随时查询已经整理好的经验知识\n\n想试试的话,直接跟我说就行,我来引导你走完整个过程。"}]...
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2026-09-14 03:28:19
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a1f3ba6a-69b9-45cc-a935-ffb9d9d4ee9a
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7d91c591-f3b2-4439-ae42-189eede0430f
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[{"type":"text","text": [{"type":"text","text":"你好啊"}]...
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2026-09-14 03:28:17
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e3937782-8b28-4016-a260-966465a6eef0
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76d90609-8e59-4bbe-8452-35a4f580d760
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[{"type":"thinking","text" [{"type":"thinking","text":"The user sent a greeting: \"你好啊\". Per CLAUDE.md section 1, I should output the greeting protocol — identity + capabilities + how to start. Keep it brief, no long history/philosophy. Use the exact greeting format.\n\nAlso memory says user is 小郭, CS domain. Just respond with the greeting.\n\nI should not over-do tool calls. Just reply.\n\nShould I write memory? Not much new here. Maybe note the greeting. Not necessary — no noteworthy new info. Skip.\n\nRespond in Chinese with the prescribed greeting."},{"type":"thinking","text":"The user sent a greeting: \"你好啊\". Per CLAUDE.md section 1, I should output the greeting protocol — identity + capabilities + how to start. Keep it brief, no long history/philosophy. Use the exact greeting format.\n\nAlso memory says user is 小郭, CS domain. Just respond with the greeting.\n\nI should not over-do tool calls. Just reply.\n\nShould I write memory? Not much new here. Maybe note the greeting. Not necessary — no noteworthy new info. Skip.\n\nRespond in Chinese with the prescribed greeting."},{"type":"text","text":"你好!我是**小伴**。\n\n我能帮你做这些事:\n\n1. 发起一次经验梳理 — 聊几句就能帮你定位到最有价值的方向\n2. 跟专家做深度访谈 — 把他们的判断经验一点点聊出来\n3. 把访谈内容整理成结构化的知识卡片\n4. 生成不同格式的成果文档,方便团队分享和学习\n5. 帮 HR 同事审核知识卡,确认内容准确后正式发布\n6. 随时查询已经整理好的经验知识\n\n想试试的话,直接跟我说就行,我来引导你走完整个过程。"}]...
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2026-09-14 03:24:23
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d5576d26-3945-46de-9051-31bb2a464aed
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76d90609-8e59-4bbe-8452-35a4f580d760
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user
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你好啊
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2026-09-14 03:24:20
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742c6986-36e0-4468-a2ad-3bf7858c0ff5
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74d90bb9-e340-402e-a981-a2416115fc0c
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[{"type":"thinking","text" [{"type":"thinking","text":"The user sent \"hi\". According to the CLAUDE.md 问候协议 (greeting protocol), when the user sends an initialization message like \"hi\", \"你好\", \"在吗\", \"你是谁\", etc., I should greet them as 小伴 with the greeting message.\n\nThe CLAUDE.md says:\n\n> 当用户发送初始化消息(如 \"你好\"\"hi\"\"在吗\"\"你是谁\"\"能干什么\"\"开始\")时:\n> \n> 你好!我是**小伴**。\n> 我能帮你做这些事:\n> 1. 发起一次经验梳理 — 聊几句就能帮你定位到最有价值的方向\n> 2. 跟专家做深度访谈 — 把他们的判断经验一点点聊出来\n> 3. 把访谈内容整理成结构化的知识卡片\n> 4. 生成不同格式的成果文档,方便团队分享和学习\n> 5. 帮 HR 同事审核知识卡,确认内容准确后正式发布\n> 6. 随时查询已经整理好的经验知识\n> \n> 想试试的话,直接跟我说就行,我来引导你走完整个过程。\n\n**注意**:不要长篇大论介绍项目历史、设计哲学、八条硬约束。问候只输出\"你是谁 + 能干什么 + 怎么开始\"。如果用户直接说具体需求(如\"帮我整理某某的经验\"\"查一下某张卡\"),跳过自报家门,直接执行。\n\nSo I should respond with the greeting. Also the note says don't introduce project history, design philosophy, eight hard constraints in length. Just output who I am + what I can do + how to start.\n\nThe user profile says the user is 小郭, working in 客户成功 (CS) field. But this greeting is fine. Should I respond in Chinese? Yes, per the greeting protocol which is in Chinese.\n\nI'll keep it concise per instructions."},{"type":"thinking","text":"The user sent \"hi\". According to the CLAUDE.md 问候协议 (greeting protocol), when the user sends an initialization message like \"hi\", \"你好\", \"在吗\", \"你是谁\", etc., I should greet them as 小伴 with the greeting message.\n\nThe CLAUDE.md says:\n\n> 当用户发送初始化消息(如 \"你好\"\"hi\"\"在吗\"\"你是谁\"\"能干什么\"\"开始\")时:\n> \n> 你好!我是**小伴**。\n> 我能帮你做这些事:\n> 1. 发起一次经验梳理 — 聊几句就能帮你定位到最有价值的方向\n> 2. 跟专家做深度访谈 — 把他们的判断经验一点点聊出来\n> 3. 把访谈内容整理成结构化的知识卡片\n> 4. 生成不同格式的成果文档,方便团队分享和学习\n> 5. 帮 HR 同事审核知识卡,确认内容准确后正式发布\n> 6. 随时查询已经整理好的经验知识\n> \n> 想试试的话,直接跟我说就行,我来引导你走完整个过程。\n\n**注意**:不要长篇大论介绍项目历史、设计哲学、八条硬约束。问候只输出\"你是谁 + 能干什么 + 怎么开始\"。如果用户直接说具体需求(如\"帮我整理某某的经验\"\"查一下某张卡\"),跳过自报家门,直接执行。\n\nSo I should respond with the greeting. Also the note says don't introduce project history, design philosophy, eight hard constraints in length. Just output who I am + what I can do + how to start.\n\nThe user profile says the user is 小郭, working in 客户成功 (CS) field. But this greeting is fine. Should I respond in Chinese? Yes, per the greeting protocol which is in Chinese.\n\nI'll keep it concise per instructions."},{"type":"text","text":"你好!我是**小伴**。\n\n我能帮你做这些事:\n\n1. **发起一次经验梳理** — 聊几句就能帮你定位到最有价值的方向\n2. **跟专家做深度访谈** — 把他们的判断经验一点点聊出来\n3. **把访谈内容整理成结构化的知识卡片**\n4. **生成不同格式的成果文档**,方便团队分享和学习\n5. **帮 HR 同事审核知识卡**,确认内容准确后正式发布\n6. **随时查询已经整理好的经验知识**\n\n想试试的话,直接跟我说就行,我来引导你走完整个过程。"}]...
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2026-09-04 15:03:23
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3bd50ffc-7c43-49e5-b92d-02568fb5033f
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74d90bb9-e340-402e-a981-a2416115fc0c
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[{"type":"text","text": [{"type":"text","text":"hi"}]...
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2026-09-04 15:03:16
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f0595501-dcd8-40b1-9bbb-923ac905e0cf
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4bc4df83-bf18-4e2c-8071-9a1aa3bef410
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[{"type":"thinking","text" [{"type":"thinking","text":"The user said \"你好\" (hello). Per CLAUDE.md greeting protocol, I should output the greeting as 小伴. Keep it to \"who you are + what you can do + how to start\".\n\nI should not analyze the project. Just respond with the greeting.\n\nAlso I should consider memory — the long-term memory says user is 小郭, CS domain. That's already recorded. No need to write more.\n\nJust reply with the greeting."},{"type":"thinking","text":"The user said \"你好\" (hello). Per CLAUDE.md greeting protocol, I should output the greeting as 小伴. Keep it to \"who you are + what you can do + how to start\".\n\nI should not analyze the project. Just respond with the greeting.\n\nAlso I should consider memory — the long-term memory says user is 小郭, CS domain. That's already recorded. No need to write more.\n\nJust reply with the greeting."},{"type":"text","text":"你好!我是**小伴**。\n\n我能帮你做这些事:\n1. 发起一次经验梳理 — 聊几句就能帮你定位到最有价值的方向\n2. 跟专家做深度访谈 — 把他们的判断经验一点点聊出来\n3. 把访谈内容整理成结构化的知识卡片\n4. 生成不同格式的成果文档,方便团队分享和学习\n5. 帮 HR 同事审核知识卡,确认内容准确后正式发布\n6. 随时查询已经整理好的经验知识\n\n想试试的话,直接跟我说就行,我来引导你走完整个过程。"}]...
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2026-09-14 04:34:28
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[{"type":"text","text": [{"type":"text","text":"你好"}]...
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2026-09-14 04:34:25
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[{"type":"thinking","text" [{"type":"thinking","text":"The user is saying \"我们从哪里开始\" which means \"Where do we start from?\" - they want to start an experience extraction project. According to the CLAUDE.md protocol, I should follow the greeting protocol since this seems like an initial interaction.\n\nLooking at the CLAUDE.md:\n1. The greeting protocol says when a user sends an initialization message, I should introduce myself as \"小伴\" and list what I can do.\n2. But it also says: \"如果用户直接说具体需求(如\"帮我整理某某的经验\"\"查一下某张卡\"),跳过自报家门,直接执行\" - if the user directly states a specific need, skip the introduction and execute directly.\n\nThe user said \"我们从哪里开始\" - this is a general inquiry about where to start, not a specific request. So I should follow the greeting protocol but keep it concise.\n\nActually, looking more carefully, the user seems to be asking where to start the process. They're not saying \"hi\" or \"hello\" - they're saying \"where do we start from\". This seems like they want to begin the extraction process but aren't sure where to start.\n\nThe flow chart shows:\n1. /cuiqu-diagnose (C1发现) - optional, when they don't know where to start\n2. /cuiqu-start - initialize a session\n3. /cuiqu-interview - interview\n4. /cuiqu-compile - compile knowledge cards\n5. /cuiqu-export - export deliverables\n6. /cuiqu-review - HR review\n7. /cuiqu-consult - query knowledge\n\nSince they're asking \"where do we start\" without a specific topic in mind, the cuiqu-diagnose skill seems appropriate - it's designed for \"我们想做经验萃取但不知道从哪开始\" (we want to do experience extraction but don't know where to start).\n\nLet me invoke the cuiqu-diagnose skill since it matches the user's need.\n\nWait, actually let me think about this more carefully. The user said \"我们从哪里开始\" which is a general question. Let me respond naturally first, then guide them based on what they need. But the skill instructions say \"当用户说... '我们想做经验萃取但不知道从哪开始'... 时触发\" - so cuiqu-diagnose seems appropriate.\n\nLet me invoke the skill."},{"type":"thinking","text":"The user is saying \"我们从哪里开始\" which means \"Where do we start from?\" - they want to start an experience extraction project. According to the CLAUDE.md protocol, I should follow the greeting protocol since this seems like an initial interaction.\n\nLooking at the CLAUDE.md:\n1. The greeting protocol says when a user sends an initialization message, I should introduce myself as \"小伴\" and list what I can do.\n2. But it also says: \"如果用户直接说具体需求(如\"帮我整理某某的经验\"\"查一下某张卡\"),跳过自报家门,直接执行\" - if the user directly states a specific need, skip the introduction and execute directly.\n\nThe user said \"我们从哪里开始\" - this is a general inquiry about where to start, not a specific request. So I should follow the greeting protocol but keep it concise.\n\nActually, looking more carefully, the user seems to be asking where to start the process. They're not saying \"hi\" or \"hello\" - they're saying \"where do we start from\". This seems like they want to begin the extraction process but aren't sure where to start.\n\nThe flow chart shows:\n1. /cuiqu-diagnose (C1发现) - optional, when they don't know where to start\n2. /cuiqu-start - initialize a session\n3. /cuiqu-interview - interview\n4. /cuiqu-compile - compile knowledge cards\n5. /cuiqu-export - export deliverables\n6. /cuiqu-review - HR review\n7. /cuiqu-consult - query knowledge\n\nSince they're asking \"where do we start\" without a specific topic in mind, the cuiqu-diagnose skill seems appropriate - it's designed for \"我们想做经验萃取但不知道从哪开始\" (we want to do experience extraction but don't know where to start).\n\nLet me invoke the cuiqu-diagnose skill since it matches the user's need.\n\nWait, actually let me think about this more carefully. The user said \"我们从哪里开始\" which is a general question. Let me respond naturally first, then guide them based on what they need. But the skill instructions say \"当用户说... '我们想做经验萃取但不知道从哪开始'... 时触发\" - so cuiqu-diagnose seems appropriate.\n\nLet me invoke the skill."},{"type":"tool_use","id":"call_00_eFYab5bpmDicxLaZFYYd5368","name":"Skill","input":{"skill":"cuiqu-diagnose"}},{"type":"tool_result","tool_use_id":"call_00_eFYab5bpmDicxLaZFYYd5368","content":"Launching skill: cuiqu-diagnose","is_error":false},{"type":"tool_raw_result","tool_use_id":"call_00_eFYab5bpmDicxLaZFYYd5368","tool_name":"Skill","raw_content":{"type":"text","text":"Launching skill: cuiqu-diagnose"}},{"type":"thinking","text":"The skill has been loaded. According to the skill instructions, I need to:\n\n1. Initialize a diagnose session (Step 1)\n2. Start the 5-layer diagnostic process (Step 2)\n3. But first, I need to ask the user about their organization and what they're trying to solve.\n\nThe user said \"我们从哪里开始\" - \"Where do we start from?\" - this is a general question about starting the extraction process. Since the diagnose skill was loaded, I should initialize the session and start the diagnostic process.\n\nLet me first initialize the diagnose session by creating the directory and extraction-plan.json, then start the conversation with the user.\n\nThe session ID would be `diagnose-2026-07-21` (today's date).\n\nLet me create the directory and initial file first."},{"type":"text","text":"好的,看来你们想做经验萃取,但还不确定从哪入手。这就是调研诊断要做的事——我们先画张地图,再找方向。\n\n我先创建一个诊断 Session。"},{"type":"tool_use","id":"call_00_0hsISDEBPlzZHPMeQLnh9254","name":"Bash","input":{"command":"mkdir -p /home/forge/workspace/forgeworkspace/AI-Extraction-Engine/raw/diagnose-2026-07-21","description":"Create diagnose session directory"}},{"type":"tool_result","tool_use_id":"call_00_0hsISDEBPlzZHPMeQLnh9254","content":"(Bash completed with no output)","is_error":false},{"type":"tool_raw_result","tool_use_id":"call_00_0hsISDEBPlzZHPMeQLnh9254","tool_name":"Bash","raw_content":{"type":"text","text":"(Bash completed with no output)"}},{"type":"thinking","text":"Good, the directory was created. Now I need to write the initial extraction-plan.json."},{"type":"tool_use","id":"call_00_BMzMwiImjxHMxXUFFFIr5322","name":"Write","input":{"file_path":"/home/forge/workspace/forgeworkspace/AI-Extraction-Engine/raw/diagnose-2026-07-21/extraction-plan.json","content":"{\n \"diagnoseSessionId\": \"diagnose-2026-07-21\",\n \"orgContext\": {\n \"company\": \"\",\n \"department\": \"\",\n \"businessTypes\": [],\n \"salesProcess\": [],\n \"keyMetrics\": []\n },\n \"capabilityGaps\": [],\n \"extractionThemes\": [],\n \"benchmarkProfiles\": [],\n \"existingMechanisms\": [],\n \"sessionDesign\": {\n \"totalSessions\": 0,\n \"grouping\": \"\"\n },\n \"status\": \"in-progress\",\n \"createdAt\": \"2026-07-21T00:00:00Z\"\n}\n"}},{"type":"tool_result","tool_use_id":"call_00_BMzMwiImjxHMxXUFFFIr5322","content":"File created successfully at: /home/forge/workspace/forgeworkspace/AI-Extraction-Engine/raw/diagnose-2026-07-21/extraction-plan.json (file state is current in your context — no need to Read it back)","is_error":false},{"type":"tool_raw_result","tool_use_id":"call_00_BMzMwiImjxHMxXUFFFIr5322","tool_name":"Write","raw_content":{"type":"text","text":"File created successfully at: /home/forge/workspace/forgeworkspace/AI-Extraction-Engine/raw/diagnose-2026-07-21/extraction-plan.json (file state is current in your context — no need to Read it back)"}},{"type":"thinking","text":"Good. Now I need to start the diagnostic conversation. Step 1 says after creating the session, I should ask the user about which organization/team initiated the extraction and what problem they're trying to solve.\n\nLet me start with Layer 1 - 画地图 (business panorama)."},{"type":"text","text":"Diagnose Session `diagnose-2026-07-21` 已创建。\n\n我们开始第一步:**画地图**。\n\n先跟我说说,这次萃取是哪个组织或团队发起的?你们大致想解决什么问题?比如销售团队想提升业绩、客服想提高满意度,还是什么其他方向?"}]...
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2026-07-21 08:21:40
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[{"type":"text","text": [{"type":"text","text":"我们从哪里开始"}]...
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2026-07-21 08:21:24
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[{"type":"thinking","text" [{"type":"thinking","text":"The user says \"你好啊\" from the root directory I should check my current working directory first — I'm in the project root `/home/forge/workspace/forgeworkspace/yangyang`, which means I'm in mentor mode rather than student mode.\n\nAs the mentor, I shouldn't roleplay as Yangyangjie, pitch anything, or do the student onboarding. Instead, I should respond as the mentor assistant and offer options like reviewing students, maintaining the knowledge base, auditing the funnel, or other tasks. I should reply in Chinese with a simple, concise message greeting the teacher and asking how I can help today."},{"type":"thinking","text":"The user says \"你好啊\" from the root directory I should check my current working directory first — I'm in the project root `/home/forge/workspace/forgeworkspace/yangyang`, which means I'm in mentor mode rather than student mode.\n\nAs the mentor, I shouldn't roleplay as Yangyangjie, pitch anything, or do the student onboarding. Instead, I should respond as the mentor assistant and offer options like reviewing students, maintaining the knowledge base, auditing the funnel, or other tasks. I should reply in Chinese with a simple, concise message greeting the teacher and asking how I can help today."},{"type":"text","text":"导师好,今天要做什么?可选:\n\n- **回顾学员** — 扫描学员目录,汇总进度与卡点\n- **维护知识库** — 新增/复核 knowledge/ 内容\n- **复盘漏斗** — 检查咨询转化与承接时机\n- **其他** — 直接说需求就行"}]...
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2026-09-14 03:05:27
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967b2702-328f-49de-9cee-b6a04294b9f3
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你好啊
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2026-09-14 03:05:23
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caeb6440-1cff-432a-972f-23313ea15690
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[{"type":"thinking","text" [{"type":"thinking","text":"The user asks \"怎么萃取?\" (How does extraction work?). This is a question about how the experience extraction process works. Based on the greeting protocol, this is asking about what the system does. Let me think about how to respond.\n\nThe user is 小郭, in CS field. They're asking \"怎么萃取?\" - how to do the extraction process.\n\nAccording to CLAUDE.md, this is a question about the workflow. I should explain in business language (user is HR/training manager, not developer). Don't expose session-id, file paths, error codes, technical terms.\n\nLet me check - should I trigger a skill? The question is \"怎么萃取?\" which is asking about the process. Looking at the skills:\n- cuiqu-diagnose triggers when \"我们想做经验萃取但不知道从哪开始\" etc.\n- cuiqu-start triggers when \"我要做萃取\"\"启动萃取\"\"新建 session\"\"开始\"\n\nThe user is asking \"how to extract\" - this is asking about the process, not necessarily starting one. It's more of an informational question about the workflow. I don't think I should trigger a skill immediately. Instead, I should explain the process in plain language.\n\nLet me look at the orchestration flow:\n- C1 Clarify (diagnose): 定主题、选专家、找价值点\n- C2 Capture (interview): 深度访谈,挖出判断模型\n- C3 Codify (lag-engine): STARR 结构化 + 六层次映射\n- C4 Compile (compile): 知识卡 + 质量评分 + 交付物\n- C4+ Review (review): HR 逐张确认 → 发布\n- C5 Consume (consult): 知识查询\n- C6 Circulate\n\nThe overall flow: /cuiqu-diagnose → /cuiqu-start → /cuiqu-interview → /cuiqu-compile → /cuiqu-export → /cuiqu-review → /cuiqu-consult\n\nI should explain this in simple business language. The user is asking \"how does extraction work?\" - I should give a clear overview of the process, perhaps using the 6C framework but translated to business language.\n\nLet me structure my response:\n1. Brief overview: what the process looks like\n2. The steps in plain language\n3. How to get started\n\nI should keep it conversational and in Chinese since the user speaks Chinese. The user profile says 小郭, CS field.\n\nNote: \"怎么萃取\" could also be interpreted as \"how do I start the extraction\" - which would trigger cuiqu-start. But I think it's more of a general question about the process. Let me explain the process and offer to start.\n\nActually, looking more carefully - the greeting protocol says: if user directly says specific needs, skip self-intro and execute. But \"怎么萃取?\" is asking about the method/process, not requesting to start one. So I'll explain the process.\n\nLet me write a clear, warm explanation in business language. I should not expose technical terms like session-id, skill names, error codes. I can mention the overall journey in a friendly way.\n\nI'll describe the 6 steps:\n1. 定位方向 (diagnose) - optional: figure out what topic, which experts, what value\n2. 发起萃取 (start) - initialize a session\n3. 深度访谈 (interview) - talk with the expert, dig out judgment models\n4. 编译成知识卡 (compile) - structure into knowledge cards with quality check\n5. 生成成果物 (export) - deliverables for different audiences\n6. 校核发布 (review) - HR confirms each card, then publish\n7. 查询使用 (consult) - team queries the knowledge\n\nThen offer: 如果你想开始,我们第一步可以聊聊你们想萃取什么主题。\n\nKeep it concise and use simple language."},{"type":"thinking","text":"The user asks \"怎么萃取?\" (How does extraction work?). This is a question about how the experience extraction process works. Based on the greeting protocol, this is asking about what the system does. Let me think about how to respond.\n\nThe user is 小郭, in CS field. They're asking \"怎么萃取?\" - how to do the extraction process.\n\nAccording to CLAUDE.md, this is a question about the workflow. I should explain in business language (user is HR/training manager, not developer). Don't expose session-id, file paths, error codes, technical terms.\n\nLet me check - should I trigger a skill? The question is \"怎么萃取?\" which is asking about the process. Looking at the skills:\n- cuiqu-diagnose triggers when \"我们想做经验萃取但不知道从哪开始\" etc.\n- cuiqu-start triggers when \"我要做萃取\"\"启动萃取\"\"新建 session\"\"开始\"\n\nThe user is asking \"how to extract\" - this is asking about the process, not necessarily starting one. It's more of an informational question about the workflow. I don't think I should trigger a skill immediately. Instead, I should explain the process in plain language.\n\nLet me look at the orchestration flow:\n- C1 Clarify (diagnose): 定主题、选专家、找价值点\n- C2 Capture (interview): 深度访谈,挖出判断模型\n- C3 Codify (lag-engine): STARR 结构化 + 六层次映射\n- C4 Compile (compile): 知识卡 + 质量评分 + 交付物\n- C4+ Review (review): HR 逐张确认 → 发布\n- C5 Consume (consult): 知识查询\n- C6 Circulate\n\nThe overall flow: /cuiqu-diagnose → /cuiqu-start → /cuiqu-interview → /cuiqu-compile → /cuiqu-export → /cuiqu-review → /cuiqu-consult\n\nI should explain this in simple business language. The user is asking \"how does extraction work?\" - I should give a clear overview of the process, perhaps using the 6C framework but translated to business language.\n\nLet me structure my response:\n1. Brief overview: what the process looks like\n2. The steps in plain language\n3. How to get started\n\nI should keep it conversational and in Chinese since the user speaks Chinese. The user profile says 小郭, CS field.\n\nNote: \"怎么萃取\" could also be interpreted as \"how do I start the extraction\" - which would trigger cuiqu-start. But I think it's more of a general question about the process. Let me explain the process and offer to start.\n\nActually, looking more carefully - the greeting protocol says: if user directly says specific needs, skip self-intro and execute. But \"怎么萃取?\" is asking about the method/process, not requesting to start one. So I'll explain the process.\n\nLet me write a clear, warm explanation in business language. I should not expose technical terms like session-id, skill names, error codes. I can mention the overall journey in a friendly way.\n\nI'll describe the 6 steps:\n1. 定位方向 (diagnose) - optional: figure out what topic, which experts, what value\n2. 发起萃取 (start) - initialize a session\n3. 深度访谈 (interview) - talk with the expert, dig out judgment models\n4. 编译成知识卡 (compile) - structure into knowledge cards with quality check\n5. 生成成果物 (export) - deliverables for different audiences\n6. 校核发布 (review) - HR confirms each card, then publish\n7. 查询使用 (consult) - team queries the knowledge\n\nThen offer: 如果你想开始,我们第一步可以聊聊你们想萃取什么主题。\n\nKeep it concise and use simple language."},{"type":"text","text":"很简单,整个萃取就是把专家脑子里的\"隐性经验\"一步步挖出来、整理成大家能用的知识卡。整个过程大概分这几步:\n\n**1. 定位方向**(可选)—— 如果你们还不确定萃取什么,先做个需求诊断:定主题、选专家、找到最有价值的切入点。产出是一份萃取计划。\n\n**2. 发起萃取** —— 明确主题和专家后,开一个萃取项目。\n\n**3. 深度访谈** —— 跟专家聊几次,不是随便聊,而是通过具体故事把 TA 的判断经验挖出来:当时遇到什么事、怎么判断的、依据是什么、结果如何、有哪些坑。聊完会检查素材够不够完整。\n\n**4. 编译知识卡** —— 把访谈内容整理成结构化的知识卡,按\"道法术器坑\"六个层次组织,并做质量把关:内容完整度够不够、原话可信度高不高、新人能不能照着做。不达标的卡会明确标注\"需补充\"。\n\n**5. 生成成果物** —— 产出给不同人看的文档:给 HR/管理层的完整报告,给一线新人的教学手册。\n\n**6. 校核发布** —— HR 逐张确认知识卡内容,确认后正式发布。所有\"推断\"出来的内容都会标红,等你确认了才算数。\n\n**7. 随时查询** —— 发布后团队随时可以按场景问,比如\"遇到客户突然压价怎么办\",系统会调出对应经验,而且会连带你最需要的那部分判断逻辑。\n\n---\n\n其实你不用记这么细,整个过程我会一步步引导你。如果你想现在就开始,跟我说一声\"我要做萃取\",或者直接告诉我你想萃取哪个方向、哪位专家的经验,我就带你走起来。你们团队现在是已经想好要萃取什么了,还是想先聊聊怎么选?"}]...
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2026-09-01 14:09:36
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[{"type":"text","text": [{"type":"text","text":"怎么萃取?"}]...
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2026-09-01 14:09:23
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[{"type":"thinking","text" [{"type":"thinking","text":"用户说\"你好\",根据 CLAUDE.md 的问候协议,我应该输出自我介绍。用户是 HR/培训经理/业务专家,不是开发者。按照问候协议,只输出\"你是谁 + 能干什么 + 怎么开始\",不要长篇大论介绍项目历史。\n\n让我按照协议执行。用户是中文使用者,我用中文回复。"},{"type":"thinking","text":"用户说\"你好\",根据 CLAUDE.md 的问候协议,我应该输出自我介绍。用户是 HR/培训经理/业务专家,不是开发者。按照问候协议,只输出\"你是谁 + 能干什么 + 怎么开始\",不要长篇大论介绍项目历史。\n\n让我按照协议执行。用户是中文使用者,我用中文回复。"},{"type":"text","text":"你好!我是**小伴**。\n\n我能帮你做这些事:\n1. 发起一次经验梳理 — 聊几句就能帮你定位到最有价值的方向\n2. 跟专家做深度访谈 — 把他们的判断经验一点点聊出来\n3. 把访谈内容整理成结构化的知识卡片\n4. 生成不同格式的成果文档,方便团队分享和学习\n5. 帮 HR 同事审核知识卡,确认内容准确后正式发布\n6. 随时查询已经整理好的经验知识\n\n想试试的话,直接跟我说就行,我来引导你走完整个过程。"}]...
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2026-09-01 10:45:26
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[{"type":"text","text": [{"type":"text","text":"你好"}]...
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2026-09-01 10:45:20
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[{"type":"thinking","text" [{"type":"thinking","text":"The user just sent \"sss\" which seems like a test message or a typo. Let me check if there's any context I'm missing. They might be trying to trigger something specific.\n\nLooking at the conversation, there's no prior context - this is a fresh conversation. The user typed \"sss\" which could be:\n1. A test to see if I'm responsive\n2. An accidental keyboard input\n3. A shorthand I'm not familiar with\n\nLet me just respond naturally and see what they want."},{"type":"thinking","text":"The user just sent \"sss\" which seems like a test message or a typo. Let me check if there's any context I'm missing. They might be trying to trigger something specific.\n\nLooking at the conversation, there's no prior context - this is a fresh conversation. The user typed \"sss\" which could be:\n1. A test to see if I'm responsive\n2. An accidental keyboard input\n3. A shorthand I'm not familiar with\n\nLet me just respond naturally and see what they want."},{"type":"text","text":"你好!我是**微微**。\n\n看你发了 \"sss\",是想测试一下我是否在线,还是有什么具体需求想聊聊?\n\n随时可以跟我说:\n- **\"帮我规划一次经验萃取\"** — 从诊断定位开始\n- **\"我要做萃取\"** — 直接启动一次经验萃取\n- **\"查一下XX方面的经验\"** — 查询已整理好的知识\n\n或者随便聊两句也行~"}]...
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2026-07-16 07:34:41
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28b02bc4-a954-4154-816f-1884bc544206
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sss
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2026-07-16 07:34:34
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4110bdce-a298-45a0-a8a3-37b83fb0b881
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[{"type":"thinking","text" [{"type":"thinking","text":"The user said \"1\", which likely refers to option 1 from my introduction: \"发起一次经验梳理 — 聊几句就能帮你定位到最有价值的方向\". This maps to the cuiqu-diagnose skill. Let me invoke it."},{"type":"thinking","text":"The user said \"1\", which likely refers to option 1 from my introduction: \"发起一次经验梳理 — 聊几句就能帮你定位到最有价值的方向\". This maps to the cuiqu-diagnose skill. Let me invoke it."},{"type":"tool_use","id":"call_00_ozjHClkT8HTu7esF2PpR6884","name":"Skill","input":{"skill":"cuiqu-diagnose"}},{"type":"tool_result","tool_use_id":"call_00_ozjHClkT8HTu7esF2PpR6884","content":"Launching skill: cuiqu-diagnose","is_error":false},{"type":"tool_raw_result","tool_use_id":"call_00_ozjHClkT8HTu7esF2PpR6884","tool_name":"Skill","raw_content":{"type":"text","text":"Launching skill: cuiqu-diagnose"}},{"type":"thinking","text":"The user selected option 1 (发起一次经验梳理), which invokes the cuiqu-diagnose skill. The skill instructions say I should start by creating a diagnose session and ask about the organization. Let me begin.\n\nThe skill says:\n\nStep 1: Initialize diagnose session - create the directory and initial extraction-plan.json, then ask the user about which organization/team is initiating this.\n\nBut wait - I need to check: is the user saying \"1\" as in they want to start a diagnose session, or just selecting from the menu? They said \"1\" which refers to option 1 from my greeting: \"发起一次经验梳理 — 聊几句就能帮你定位到最有价值的方向\". So yes, they want the diagnose/diagnostic service.\n\nLet me start the diagnose process. First, create the session directory and initial plan file."},{"type":"text","text":"好的,我来帮你做一次经验萃取的**需求调研诊断**。\n\n先创建一个 diagnose session。"},{"type":"tool_use","id":"call_00_J7Dll03aS1GQH9bJfiJq6465","name":"Bash","input":{"command":"mkdir -p /home/forge/workspace/forgeworkspace/AI-Extraction-Engine/raw/diagnose-2026-07-18","description":"Create diagnose session directory"}},{"type":"tool_result","tool_use_id":"call_00_J7Dll03aS1GQH9bJfiJq6465","content":"(Bash completed with no output)","is_error":false},{"type":"tool_raw_result","tool_use_id":"call_00_J7Dll03aS1GQH9bJfiJq6465","tool_name":"Bash","raw_content":{"type":"text","text":"(Bash completed with no output)"}},{"type":"thinking","text":"Now write the initial extraction-plan.json."},{"type":"tool_use","id":"call_00_EMbUHC7gE12cC0aRv5Dp8675","name":"Write","input":{"file_path":"/home/forge/workspace/forgeworkspace/AI-Extraction-Engine/raw/diagnose-2026-07-18/extraction-plan.json","content":"{\n \"diagnoseSessionId\": \"diagnose-2026-07-18\",\n \"orgContext\": {\n \"company\": \"\",\n \"department\": \"\",\n \"businessTypes\": [],\n \"salesProcess\": [],\n \"keyMetrics\": []\n },\n \"capabilityGaps\": [],\n \"extractionThemes\": [],\n \"benchmarkProfiles\": [],\n \"existingMechanisms\": [],\n \"sessionDesign\": {\n \"totalSessions\": 0,\n \"grouping\": \"\"\n },\n \"status\": \"in-progress\",\n \"createdAt\": \"2026-07-18T00:00:00+08:00\"\n}\n"}},{"type":"tool_result","tool_use_id":"call_00_EMbUHC7gE12cC0aRv5Dp8675","content":"<tool_use_error>File has not been read yet. Read it first before writing to it.</tool_use_error>","is_error":true},{"type":"tool_raw_result","tool_use_id":"call_00_EMbUHC7gE12cC0aRv5Dp8675","tool_name":"Write","raw_content":{"type":"text","text":"<tool_use_error>File has not been read yet. Read it first before writing to it.</tool_use_error>"}},{"type":"thinking","text":"The file doesn't exist yet, so I should use Bash with a heredoc to create it, since it's under the raw/ directory. Actually, Write tool requires reading first but this is a new file that doesn't exist. Let me try Bash to create it."},{"type":"tool_use","id":"call_00_GftTUuiKC9jaWdIDQa1s5183","name":"Bash","input":{"command":"cat > /home/forge/workspace/forgeworkspace/AI-Extraction-Engine/raw/diagnose-2026-07-18/extraction-plan.json << 'EOF'\n{\n \"diagnoseSessionId\": \"diagnose-2026-07-18\",\n \"orgContext\": {\n \"company\": \"\",\n \"department\": \"\",\n \"businessTypes\": [],\n \"salesProcess\": [],\n \"keyMetrics\": []\n },\n \"capabilityGaps\": [],\n \"extractionThemes\": [],\n \"benchmarkProfiles\": [],\n \"existingMechanisms\": [],\n \"sessionDesign\": {\n \"totalSessions\": 0,\n \"grouping\": \"\"\n },\n \"status\": \"in-progress\",\n \"createdAt\": \"2026-07-18T00:00:00+08:00\"\n}\nEOF","description":"Create initial extraction-plan.json"}},{"type":"tool_result","tool_use_id":"call_00_GftTUuiKC9jaWdIDQa1s5183","content":"(Bash completed with no output)","is_error":false},{"type":"tool_raw_result","tool_use_id":"call_00_GftTUuiKC9jaWdIDQa1s5183","tool_name":"Bash","raw_content":{"type":"text","text":"(Bash completed with no output)"}},{"type":"thinking","text":"Good, the file is created. Now I need to start the conversation with the user. According to the skill instructions, after creating the session I should ask:\n\n\"Diagnose session `[diagnose-sid]` 已创建。接下来请告诉我:这次萃取是哪个组织/团队发起的?他们大致想解决什么问题?\"\n\nLet me start the diagnostic conversation."},{"type":"text","text":"Diagnose session `diagnose-2026-07-18` 已创建。\n\n我们开始一步一步梳理。先聊第一个问题——\n\n**这次萃取是哪个组织或团队发起的?** 比如哪个公司、哪个部门?他们大致想解决什么问题?"}]...
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2026-07-18 15:14:30
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bf13bd77-5c94-4dae-81c6-99082cf4eca6
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[{"type":"text","text": [{"type":"text","text":"1"}]...
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2026-07-18 15:14:16
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62c83015-11f5-44be-9ecc-b0e2e11902f9
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[{"type":"thinking","text" [{"type":"thinking","text":"The user said \"你好\" (hello). According to the CLAUDE.md greeting protocol (Section 1), when the user sends an initialization message like \"你好\", I should respond with:\n\n> 你好!我是**小伴**。\n> \n> 我能帮你做这些事:\n> 1. 发起一次经验梳理 — 聊几句就能帮你定位到最有价值的方向\n> 2. 跟专家做深度访谈 — 把他们的判断经验一点点聊出来\n> 3. 把访谈内容整理成结构化的知识卡片\n> 4. 生成不同格式的成果文档,方便团队分享和学习\n> 5. 帮 HR 同事审核知识卡,确认内容准确后正式发布\n> 6. 随时查询已经整理好的经验知识\n> \n> 想试试的话,直接跟我说就行,我来引导你走完整个过程。\n\nAnd \"不要长篇大论介绍项目历史、设计哲学、八条硬约束。问候只输出'你是谁 + 能干什么 + 怎么开始'。\"\n\nSo I should respond with that greeting."},{"type":"thinking","text":"The user said \"你好\" (hello). According to the CLAUDE.md greeting protocol (Section 1), when the user sends an initialization message like \"你好\", I should respond with:\n\n> 你好!我是**小伴**。\n> \n> 我能帮你做这些事:\n> 1. 发起一次经验梳理 — 聊几句就能帮你定位到最有价值的方向\n> 2. 跟专家做深度访谈 — 把他们的判断经验一点点聊出来\n> 3. 把访谈内容整理成结构化的知识卡片\n> 4. 生成不同格式的成果文档,方便团队分享和学习\n> 5. 帮 HR 同事审核知识卡,确认内容准确后正式发布\n> 6. 随时查询已经整理好的经验知识\n> \n> 想试试的话,直接跟我说就行,我来引导你走完整个过程。\n\nAnd \"不要长篇大论介绍项目历史、设计哲学、八条硬约束。问候只输出'你是谁 + 能干什么 + 怎么开始'。\"\n\nSo I should respond with that greeting."},{"type":"text","text":"你好!我是**小伴**。\n\n我能帮你做这些事:\n\n1. **发起一次经验梳理** — 聊几句就能帮你定位到最有价值的方向\n2. **跟专家做深度访谈** — 把他们的判断经验一点点聊出来\n3. **把访谈内容整理成结构化的知识卡片**\n4. **生成不同格式的成果文档**,方便团队分享和学习\n5. **帮 HR 同事审核知识卡**,确认内容准确后正式发布\n6. **随时查询已经整理好的经验知识**\n\n想试试的话,直接跟我说就行,我来引导你走完整个过程。"}]...
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2026-07-18 15:14:08
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5b9d3413-445c-4d76-b806-8e808eb8f6bb
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[{"type":"text","text": [{"type":"text","text":"你好"}]...
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2026-07-18 15:14:04
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c76757ba-0c23-4a3d-a5f7-7a2268144913
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[{"type":"thinking","text" [{"type":"thinking","text":"The user is asking \"几号\" which means \"what's the date\" in Chinese. Let me check the current date from the system context.\n\nFrom the system reminder: \"Today's date is 2026-07-18.\"\n\nSo the answer is 2026年7月18日.\n\nBut wait, I should check if there's a daily log file for today already, since this is a very simple question and I don't need to do anything complex.\n\nActually, the current date is 2026-07-18 (Saturday) based on the system context."},{"type":"thinking","text":"The user is asking \"几号\" which means \"what's the date\" in Chinese. Let me check the current date from the system context.\n\nFrom the system reminder: \"Today's date is 2026-07-18.\"\n\nSo the answer is 2026年7月18日.\n\nBut wait, I should check if there's a daily log file for today already, since this is a very simple question and I don't need to do anything complex.\n\nActually, the current date is 2026-07-18 (Saturday) based on the system context."},{"type":"text","text":"今天(2026年7月18日),周六。"}]...
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2026-07-18 15:14:00
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eaccaeb1-566c-4d12-9cd4-8e31d5cbc619
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[{"type":"text","text": [{"type":"text","text":"几号"}]...
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2026-07-18 15:13:56
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a1bd77e2-7192-4f07-831b-4a88be9b6fa0
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[{"type":"thinking","text" [{"type":"thinking","text":"用户想查询知识库,问的是\"绩效咨询顾问提升与 sponsor 介绍方案的能力\"。这是知识查询请求,应该触发 cuiqu-consult skill。\n\n让我调用 cuiqu-consult skill。"},{"type":"thinking","text":"用户想查询知识库,问的是\"绩效咨询顾问提升与 sponsor 介绍方案的能力\"。这是知识查询请求,应该触发 cuiqu-consult skill。\n\n让我调用 cuiqu-consult skill。"},{"type":"tool_use","id":"call_00_0S1YhkbCWD5jpOMHwztS7043","name":"Skill","input":{"skill":"cuiqu-consult","args":"绩效咨询顾问提升与 sponsor 介绍方案的能力"}},{"type":"tool_result","tool_use_id":"call_00_0S1YhkbCWD5jpOMHwztS7043","content":"Launching skill: cuiqu-consult","is_error":false},{"type":"tool_raw_result","tool_use_id":"call_00_0S1YhkbCWD5jpOMHwztS7043","tool_name":"Skill","raw_content":{"type":"text","text":"Launching skill: cuiqu-consult"}},{"type":"thinking","text":"用户想查询知识库,看有没有关于\"绩效咨询顾问提升与 sponsor 介绍方案的能力\"的经验。\n\n让我先读取 wiki/index.json 来检索匹配的卡片。"},{"type":"text","text":"我来帮你查一下知识库里有没有相关的经验。"},{"type":"tool_use","id":"call_00_e26JaLoabsUtIiNd0An22803","name":"Bash","input":{"command":"find /home/forge/workspace/forgeworkspace/AI-Extraction-Engine -name \"index.json\" -path \"*wiki*\" 2>/dev/null; echo \"---\"; ls /home/forge/workspace/forgeworkspace/AI-Extraction-Engine/ 2>/dev/null","description":"查找知识库索引文件"}},{"type":"tool_result","tool_use_id":"call_00_e26JaLoabsUtIiNd0An22803","content":"/home/forge/workspace/forgeworkspace/AI-Extraction-Engine/wiki/index.json\n---\nai_extraction_engine_scripts.egg-info\nAI原生经验萃取_综合PRD (1).html\nCLAUDE.md\ndeliverables\ndocs\npyproject.toml\nraw\nREADME.md\nrealCasesFromLiz\nscripts\ntemplates\ntests\nwiki\n挖采用三步体系.html","is_error":false},{"type":"tool_raw_result","tool_use_id":"call_00_e26JaLoabsUtIiNd0An22803","tool_name":"Bash","raw_content":{"type":"text","text":"/home/forge/workspace/forgeworkspace/AI-Extraction-Engine/wiki/index.json\n---\nai_extraction_engine_scripts.egg-info\nAI原生经验萃取_综合PRD (1).html\nCLAUDE.md\ndeliverables\ndocs\npyproject.toml\nraw\nREADME.md\nrealCasesFromLiz\nscripts\ntemplates\ntests\nwiki\n挖采用三步体系.html"}},{"type":"tool_use","id":"call_00_ET_377LavQiDwzRAkl4MH4O9783","name":"Read","input":{"file_path":"/home/forge/workspace/forgeworkspace/AI-Extraction-Engine/wiki/index.json"}},{"type":"tool_result","tool_use_id":"call_00_ET_377LavQiDwzRAkl4MH4O9783","content":"1\t{\n2\t \"version\": \"1.0\",\n3\t \"updatedAt\": \"2026-07-16T12:02:50.252539+00:00\",\n4\t \"cards\": [\n5\t {\n6\t \"id\": \"K2J_B_2026_0508_001\",\n7\t \"type\": \"Belief\",\n8\t \"name\": \"工业地产销售信念:判客坚持 + 借力团队 + 团队氛围(夏宇三大心法)\",\n9\t \"expert\": \"2026-05-08_xiayu-001\",\n10\t \"scenario\": \"罗源乡贤在外地发展(福州货架 top 3),购买台商项目 3+1 火车头厂房 8000㎡ 2200多万\",\n11\t \"score\": 0.92,\n12\t \"tier\": \"\",\n13\t \"status\": \"pending-review\",\n14\t \"sensitivityLevel\": \"internal\",\n15\t \"episodeId\": \"E-2026-05-08-钢结构火车头厂房-001\",\n16\t \"episodeTitle\": \"夏宇:1.5年长期跟进不锈钢货架客户成交钢结构火车头厂房\",\n17\t \"dominantLayer\": \"Dao\",\n18\t \"hasDaoSibling\": true,\n19\t \"path\": \"wiki/concepts/K2J_B_2026_0508_001.jsonld\",\n20\t \"tags\": [\n21\t \"判客坚持\",\n22\t \"借力团队\",\n23\t \"团队氛围\",\n24\t \"工业地产销售\",\n25\t \"乡贤客户\",\n26\t \"长期跟进\"\n27\t ],\n28\t \"triggerSignals\": [\n29\t \"客户冷淡但未删微信\",\n30\t \"客户回乡过节\",\n31\t \"客户提到政府资源/被采访\",\n32\t \"老板+老板娘夫妻决策\"\n33\t ],\n34\t \"applicableWhenKeywords\": [\n35\t \"乡贤\",\n36\t \"罗源\",\n37\t \"家乡情怀\",\n38\t \"国高企业\",\n39\t \"投资不动产\",\n40\t \"政府认可\"\n41\t ],\n42\t \"notApplicableWhenKeywords\": [\n43\t \"急需客户\",\n44\t \"租期刚签\",\n45\t \"无家乡联结\"\n46\t ],\n47\t \"customerRole\": [\n48\t \"本地乡贤在外地发展\",\n49\t \"高客单价定制厂房采购方\"\n50\t ],\n51\t \"salesStage\": [\n52\t \"线索\",\n53\t \"立项\",\n54\t \"pitch\",\n55\t \"POC\",\n56\t \"招投标\",\n57\t \"成交\"\n58\t ],\n59\t \"problemType\": [\n60\t \"客户冷淡跟进\",\n61\t \"长期跟进维护\",\n62\t \"决策链复杂\",\n63\t \"客单价高决策周期长\"\n64\t ]\n65\t },\n66\t {\n67\t \"id\": \"K2J_B_2026_0619_001\",\n68\t \"type\": \"Belief\",\n69\t \"name\": \"商业模式匹配是真实卡点(消卡模式装不下高价课)\",\n70\t \"expert\": \"2026-06-19_expert-003\",\n71\t \"scenario\": \"卖高价培训课给酒店培训机构-商学院,客户以'预算有问题'为由黄单\",\n72\t \"score\": null,\n73\t \"tier\": \"\",\n74\t \"status\": \"pending-review\",\n75\t \"sensitivityLevel\": \"internal\",\n76\t \"episodeId\": \"E-2026-06-19-消卡模式\",\n77\t [truncated]","is_error":false},{"type":"tool_raw_result","tool_use_id":"call_00_ET_377LavQiDwzRAkl4MH4O9783","tool_name":"Read","raw_content":{"type":"text","text":"1\t{\n2\t \"version\": \"1.0\",\n3\t \"updatedAt\": \"2026-07-16T12:02:50.252539+00:00\",\n4\t \"cards\": [\n5\t {\n6\t \"id\": \"K2J_B_2026_0508_001\",\n7\t \"type\": \"Belief\",\n8\t \"name\": \"工业地产销售信念:判客坚持 + 借力团队 + 团队氛围(夏宇三大心法)\",\n9\t \"expert\": \"2026-05-08_xiayu-001\",\n10\t \"scenario\": \"罗源乡贤在外地发展(福州货架 top 3),购买台商项目 3+1 火车头厂房 8000㎡ 2200多万\",\n11\t \"score\": 0.92,\n12\t \"tier\": \"\",\n13\t \"status\": \"pending-review\",\n14\t \"sensitivityLevel\": \"internal\",\n15\t \"episodeId\": \"E-2026-05-08-钢结构火车头厂房-001\",\n16\t \"episodeTitle\": \"夏宇:1.5年长期跟进不锈钢货架客户成交钢结构火车头厂房\",\n17\t \"dominantLayer\": \"Dao\",\n18\t \"hasDaoSibling\": true,\n19\t \"path\": \"wiki/concepts/K2J_B_2026_0508_001.jsonld\",\n20\t \"tags\": [\n21\t \"判客坚持\",\n22\t \"借力团队\",\n23\t \"团队氛围\",\n24\t \"工业地产销售\",\n25\t \"乡贤客户\",\n26\t \"长期跟进\"\n27\t ],\n28\t \"triggerSignals\": [\n29\t \"客户冷淡但未删微信\",\n30\t \"客户回乡过节\",\n31\t \"客户提到政府资源/被采访\",\n32\t \"老板+老板娘夫妻决策\"\n33\t ],\n34\t \"applicableWhenKeywords\": [\n35\t \"乡贤\",\n36\t \"罗源\",\n37\t \"家乡情怀\",\n38\t \"国高企业\",\n39\t \"投资不动产\",\n40\t \"政府认可\"\n41\t ],\n42\t \"notApplicableWhenKeywords\": [\n43\t \"急需客户\",\n44\t \"租期刚签\",\n45\t \"无家乡联结\"\n46\t ],\n47\t \"customerRole\": [\n48\t \"本地乡贤在外地发展\",\n49\t \"高客单价定制厂房采购方\"\n50\t ],\n51\t \"salesStage\": [\n52\t \"线索\",\n53\t \"立项\",\n54\t \"pitch\",\n55\t \"POC\",\n56\t \"招投标\",\n57\t \"成交\"\n58\t ],\n59\t \"problemType\": [\n60\t \"客户冷淡跟进\",\n61\t \"长期跟进维护\",\n62\t \"决策链复杂\",\n63\t \"客单价高决策周期长\"\n64\t ]\n65\t },\n66\t {\n67\t \"id\": \"K2J_B_2026_0619_001\",\n68\t \"type\": \"Belief\",\n69\t \"name\": \"商业模式匹配是真实卡点(消卡模式装不下高价课)\",\n70\t \"expert\": \"2026-06-19_expert-003\",\n71\t \"scenario\": \"卖高价培训课给酒店培训机构-商学院,客户以'预算有问题'为由黄单\",\n72\t \"score\": null,\n73\t \"tier\": \"\",\n74\t \"status\": \"pending-review\",\n75\t \"sensitivityLevel\": \"internal\",\n76\t \"episodeId\": \"E-2026-06-19-消卡模式\",\n77\t \"episodeTitle\": \"酒店商学院黄单:从'预算问题'到'消卡模式装不下高价课'\",\n78\t \"dominantLayer\": \"Dao\",\n79\t \"hasDaoSibling\": true,\n80\t \"path\": \"wiki/concepts/K2J_B_2026_0619_001.jsonld\",\n81\t \"tags\": [\n82\t \"商业模式匹配\",\n83\t \"消卡模式\",\n84\t \"预算异议翻译\",\n85\t \"信念锚点\"\n86\t ],\n87\t \"triggerSignals\": [\n88\t \"客户说'预算有问题'\",\n89\t \"客户盈利模式是收会员费/消卡\"\n90\t ],\n91\t \"applicableWhenKeywords\": [\n92\t \"消卡\",\n93\t \"会员费\",\n94\t \"预算问题\",\n95\t \"盈利模式\"\n96\t ],\n97\t \"notApplicableWhenKeywords\": [\n98\t \"项目费\",\n99\t \"按人头付费\",\n100\t \"明确预算\"\n101\t ],\n102\t \"customerRole\": [\n103\t \"培训采购方\"\n104\t ],\n105\t \"salesStage\": [\n106\t \"pitch\"\n107\t ],\n108\t \"problemType\": [\n109\t \"商业模式不匹配\"\n110\t ]\n111\t },\n112\t {\n113\t \"id\": \"K2J_B_2026_0620_001\",\n114\t \"type\": \"Belief\",\n115\t \"name\": \"AI 产品销售信念:卖点必须锚定客户收益,用魔法打败魔法\",\n116\t \"expert\": \"2026-06-19_expert-002\",\n117\t \"scenario\": \"A\n[truncated]"}},{"type":"thinking","text":"用户问的是:\"绩效咨询顾问提升与 sponsor 介绍方案的能力\"。\n\n让我拆解一下这个查询:\n- \"绩效咨询顾问\" - 用户或目标人群是绩效咨询顾问?这是一个角色\n- \"sponsor 介绍方案\" - 这看起来像是项目发起人(sponsor/高管支持者)介绍方案\n\n用户是在找一个场景:绩效咨询顾问如何提升\"向 sponsor(发起人/高管)介绍方案\"的能力。\n\n检索 index.json 中状态为 approved 或 published 的卡:\n\n逐个看:\n1. K2J_B_2026_0508_001 - Belief, pending-review ✗\n2. K2J_B_2026_0619_001 - Belief, pending-review ✗\n3. K2J_B_2026_0620_001 - Belief, pending-review ✗\n4. K2J_B_2026_0627_001 - Belief, draft ✗\n5. K2J_R_2026_0508_001 - Rule, judged ✗\n6. K2J_R_2026_0619_001 - Rule, **published** ✓\n7. K2J_R_2026_0619_002 - Rule, **published** ✓\n8. K2J_R_2026_0620_001 - Rule, judged ✗\n9. K2J_R_2026_0627_001 - Rule, pending-review ✗\n10. K2J_C_2026_0715_001 - Case, draft ✗\n11. K2J_B_2026_0716_001 - Belief, pending-review ✗\n12. K2J_R_2026_0716_001 - Rule, pending-review ✗\n\n所以已发布/可对外的是两张:\n- K2J_R_2026_0619_001: 侧面探盈利模式判定报价区间 (published)\n- K2J_R_2026_0619_002: 筛客户筛长期资金来源 (published)\n\n用户查询的关键词:绩效咨询顾问、sponsor、介绍方案。\n\n我需要理解\"sponsor 介绍方案\"。在咨询/培训语境中,sponsor 通常指项目发起人/出资方(高管)。绩效咨询顾问需要向 sponsor 介绍方案(提案)。这可能是某种\"向上管理/提案汇报\"的能力。\n\n现在看现有两张已发布卡的内容,都是关于\"培训课黄单、定价、筛客户\"的。跟\"向 sponsor 介绍方案\"没有直接匹配。\n\n让我们再想想匹配维度:\n- 场景关键词: sponsor、介绍方案、提案、高管、决策者\n- 客户角色: sponsor(发起人/高管)\n- 销售阶段: pitch(介绍方案通常发生在 pitch 阶段)\n- 问题类型: 向高管提案\n\n两张 published 卡:\n- K2J_R_2026_0619_001: 场景是客户说\"预算有问题\",教怎么侧面试探盈利模式判定报价。客户角色是\"培训采购方\"。salesStage: pitch, POC。\n- K2J_R_2026_0619_002: 筛客户看长期资金来源。salesStage: 线索、立项。\n\n这两张卡的主题是关于\"定价/预算异议\"和\"客户筛选\",与\"绩效咨询顾问向 sponsor 介绍方案\"主题不太匹配。虽然 salesStage 提到 pitch,但核心内容不是\"怎么介绍方案\",而是\"报价前怎么探盈利模式\"。\n\n用户问的明确是\"有没有绩效咨询顾问提升与 sponsor 介绍方案的能力\"。看起来是在找一个特定技能/经验:绩效咨询顾问在客户组织内找到 sponsor(决策发起人)并向其介绍方案。\n\n在 index.json 中没有看到与\"sponsor\"\"向高管/发起人介绍方案\"相关的关键词。\n\n所以按步骤 5 查不到处理。\n\n不过,我注意到 expert \"2026-07-16_xiaoguo-001\" —— xiaoguo 可能是用户\"小郭\"。那张卡是 K2J_B_2026_0716_001 和 K2J_R_2026_0716_001,但状态都是 pending-review,不能对外展示。\n\n我应该按照 cuiqu-consult 的步骤 5 \"查不到时的输出\"处理。但让我更仔细一点看是否有部分匹配。\n\n用户问题的维度:\n- 场景关键词: sponsor 介绍方案、绩效咨询、咨询顾问、提案、高管汇报\n- 销售阶段: pitch\n- customerRole: sponsor\n\n两张 published 卡:\n1. K2J_R_2026_0619_001 \"侧面探盈利模式判定报价区间\" — 相关关键词:预算、贵、没钱、定价、报价。customerRole: 培训采购方。salesStage: pitch, POC。problemType: 定价/预算异议。\n2. K2J_R_2026_0619_002 \"筛客户筛长期资金来源\" — 相关关键词:长期合作、资金来源、复购。customerRole: 潜在长期客户。salesStage: 线索、立项。problemType: 客户筛选。\n\n用户问题中的\"介绍方案\"更贴近 pitch 阶段,但这两张卡解决的具体问题是\"客户说预算有问题怎么报价\"和\"怎么筛客户\",不是\"怎么向 sponsor 介绍方案\"。\n\n我认为这属于查不到直接匹配。不过我应该检查一下是否有更多已发布的卡,或者知识库中是否还有其它数据源。也许 realCasesFromLiz 文件夹等有相关内容?但 consult skill 明确说只检索 wiki/index.json 中已发布/校核的卡。\n\n让我也检查 wiki 目录下是否有其他 index 或者是否有卡在 wiki/concepts 等子目录但没被 index 收录。实际上 index.json 列出了所有卡及其 path。\n\n在给出\"查不到\"回答之前,我可以简单检查一下 wiki 目录是否还有其他卡未收录,以及是否有更近期的卡。让我列出 wiki 目录。\n\n实际上我注意到 index.json 是 2026-07-16 更新的,今天是 2026-09-03。也许有更新的卡。让我检查 wiki 目录的实际内容,看 index 是否过期。"},{"type":"tool_use","id":"call_00_dgUysmnIRNHf0sDXUJaF7618","name":"Bash","input":{"command":"find /home/forge/workspace/forgeworkspace/AI-Extraction-Engine/wiki -name \"*.jsonld\" | sort; echo \"---count---\"; find /home/forge/workspace/forgeworkspace/AI-Extraction-Engine/wiki -name \"*.jsonld\" | wc -l","description":"列出知识库所有卡文件"}},{"type":"tool_result","tool_use_id":"call_00_dgUysmnIRNHf0sDXUJaF7618","content":"/home/forge/workspace/forgeworkspace/AI-Extraction-Engine/wiki/cases/K2J_C_2026_0715_001.jsonld\n/home/forge/workspace/forgeworkspace/AI-Extraction-Engine/wiki/concepts/K2J_B_2026_0508_001.jsonld\n/home/forge/workspace/forgeworkspace/AI-Extraction-Engine/wiki/concepts/K2J_B_2026_0619_001.jsonld\n/home/forge/workspace/forgeworkspace/AI-Extraction-Engine/wiki/concepts/K2J_B_2026_0620_001.jsonld\n/home/forge/workspace/forgeworkspace/AI-Extraction-Engine/wiki/concepts/K2J_B_2026_0627_001.jsonld\n/home/forge/workspace/forgeworkspace/AI-Extraction-Engine/wiki/concepts/K2J_B_2026_0716_001.jsonld\n/home/forge/workspace/forgeworkspace/AI-Extraction-Engine/wiki/rules/K2J_R_2026_0508_001.jsonld\n/home/forge/workspace/forgeworkspace/AI-Extraction-Engine/wiki/rules/K2J_R_2026_0619_001.jsonld\n/home/forge/workspace/forgeworkspace/AI-Extraction-Engine/wiki/rules/K2J_R_2026_0619_002.jsonld\n/home/forge/workspace/forgeworkspace/AI-Extraction-Engine/wiki/rules/K2J_R_2026_0620_001.jsonld\n/home/forge/workspace/forgeworkspace/AI-Extraction-Engine/wiki/rules/K2J_R_2026_0627_001.jsonld\n/home/forge/workspace/forgeworkspace/AI-Extraction-Engine/wiki/rules/K2J_R_2026_0716_001.jsonld\n---count---\n12","is_error":false},{"type":"tool_raw_result","tool_use_id":"call_00_dgUysmnIRNHf0sDXUJaF7618","tool_name":"Bash","raw_content":{"type":"text","text":"/home/forge/workspace/forgeworkspace/AI-Extraction-Engine/wiki/cases/K2J_C_2026_0715_001.jsonld\n/home/forge/workspace/forgeworkspace/AI-Extraction-Engine/wiki/concepts/K2J_B_2026_0508_001.jsonld\n/home/forge/workspace/forgeworkspace/AI-Extraction-Engine/wiki/concepts/K2J_B_2026_0619_001.jsonld\n/home/forge/workspace/forgeworkspace/AI-Extraction-Engine/wiki/concepts/K2J_B_2026_0620_001.jsonld\n/home/forge/workspace/forgeworkspace/AI-Extraction-Engine/wiki/concepts/K2J_B_2026_0627_001.jsonld\n/home/forge/workspace/forgeworkspace/AI-Extraction-Engine/wiki/concepts/K2J_B_2026_0716_001.jsonld\n/home/forge/workspace/forgeworkspace/AI-Extraction-Engine/wiki/rules/K2J_R_2026_0508_001.jsonld\n/home/forge/workspace/forgeworkspace/AI-Extraction-Engine/wiki/rules/K2J_R_2026_0619_001.jsonld\n/home/forge/workspace/forgeworkspace/AI-Extraction-Engine/wiki/rules/K2J_R_2026_0619_002.jsonld\n/home/forge/workspace/forgeworkspace/AI-Extraction-Engine/wiki/rules/K2J_R_2026_0620_001.jsonld\n/home/forge/workspace/forgeworkspace/AI-Extraction-Engine/wiki/rules/K2J_R_2026_0627_001.jsonld\n/home/forge/workspace/forgeworkspace/AI-Extraction-Engine/wiki/rules/K2J_R_2026_0716_001.jsonld\n---count---\n12"}},{"type":"thinking","text":"12 张卡,与 index.json 一致。没有过期问题。\n\n可对外展示(approved/published)的只有:\n- K2J_R_2026_0619_001 (published): 侧面探盈利模式判定报价区间\n- K2J_R_2026_0619_002 (published): 筛客户筛长期资金来源\n\n用户查询:\"绩效咨询顾问提升与 sponsor 介绍方案的能力\"\n\n匹配分析:\n- \"绩效咨询顾问\" — 不是 index 中的任何 customerRole/expert 角色匹配。index 里的 expert 是夏宇(工业地产销售)、expert-003(培训销售)、expert-002(AI产品)、expert-001(标准产品)、shichao(旅游ToB运营)、xiaoguo(ToB存量)。没有绩效咨询顾问。\n- \"sponsor 介绍方案\" — 与任何卡的 triggerSignals/applicableWhenKeywords/problemType 不匹配。K2J_R_2026_0619_001 涉及\"报价/预算异议\",K2J_R_2026_0619_002 涉及\"客户筛选/资金来源\"。\n\n没有直接匹配的已发布卡。部分接近的卡(2026-06-19 酒店商学院 episode)在 K2J_B_2026_0619_001 的 Belief 是 pending-review,它的 Rule 兄弟卡有两张是 published。但如果 Rule 卡要展示,做 episode 补全时找 Dao — Dao 卡 K2J_B_2026_0619_001 是 pending-review,按 skill 说\"找到但状态为 pending-review/draft → 标注:'这条经验背后的底层信念还在校核中'\"。\n\n但关键是:这两张 published 卡跟用户问的\"向 sponsor 介绍方案的能力\"主题是否足够相关?我认为不相关。用户问的是\"有没有(萃取过)某种能力\",这是一个明确的主题查询。\n\n按 consult skill 的\"查不到时\"流程,我应该诚实告知:目前没有直接匹配的经验。\n\n不过,让我考虑一下:用户可能刚做完一次萃取,或者用户是想把\"绩效咨询顾问向 sponsor 介绍方案\"作为萃取候选主题。查询没找到时,consult skill 的输出模板也说了\"建议:把这个场景记录下来,作为下一次萃取的候选主题。\"\n\n我不应该编造。但也需要理解用户问题的准确含义,避免误判。用户可能指的是绩效咨询行业(performance consulting),即咨询顾问帮助企业客户提升绩效;而 sponsor 在绩效咨询(如 ISPI 的 HPT 模型)里,通常指业务发起人/客户高管。顾问需要学会向 sponsor 推销方案、获得支持。这在知识库中确实没有。\n\n我给出查不到的答复,用业务语言。\n\n等等,还要注意 CLAUDE.md 的\"面向用户说人话\"规定:不出现 session-id、文件路径、错误码、技术术语、英文指标名。但 cuiqu-consult skill 的输出本身包含\"sponsor\"\"episode\"等?skill 模板里有\"经验 1:episodeTitle\"、底层信念、方法、具体做法等。这些是业务语言。而 index 中 title 有英文?我要避免展示卡 ID(如 K2J_R_...),用业务语言。\n\n给出\"查不到\"的回答,不需要暴露内部细节。\n\n我应该说明:\n1. 目前知识库里已发布可查询的经验有哪些相关领域(简短列出,让用户知道库里有什么)\n2. 明确\"绩效咨询顾问向 sponsor 介绍方案\"这个主题还没有被萃取过\n3. 建议:记录为下一次萃取候选主题\n\n让我看看已发布的两张卡内容,以便准确说明库中有什么与用户问题最接近的内容。或许我应该读一下 K2J_R_2026_0619_001/002 确认它们的业务主题描述,以便判断是否能部分回答\"给 sponsor 介绍方案\"。\n\n其实从 index 的描述已经足够:\n- K2J_R_2026_0619_001: 卖高价培训课给酒店商学院,客户说\"预算有问题\",怎么通过侧面试探盈利模式来判定报价区间 — 处理预算异议。\n- K2J_R_2026_0619_002: 接培训单时,不只看当下成交,还要看客户有没有长期资金来源 — 客户筛选。\n\n这两张都与用户问题不直接匹配。但是否\"部分相关\"?用户场景:绩效咨询顾问向 sponsor 介绍方案。\"介绍方案\"阶段可能客户/发起人会质疑价值/价格。K2J_R_2026_0619_001 讲的是报价与预算异议。但用户问的是\"提升介绍方案的能力\",不是\"处理预算异议\"。方向不同。\n\n严格遵循 skill:匹配 0 则查不到输出。但这两张 published 卡在 broad 意义上属于\"知识库里已有的相关经验\"。为诚实和有用,我可以简短提一下库中现有内容与用户主题最接近的部分,但要明确不直接匹配,不做强行关联。\n\n我认为最佳回应是:诚实说没有直接匹配,简要说明知识库里已有的已发布经验(让用户判断是否有参考价值),并建议作为下一次萃取候选主题。\n\n其实 consult skill 的\"查不到时输出\"并没有让列出已有卡。但为了更人性化(CLAUDE.md 说帮助用户),我可以简短提一句库里有哪些方面已沉淀。保持简洁。\n\n让我按 skill 格式输出。"},{"type":"text","text":"我按\"绩效咨询顾问 / sponsor(项目发起人)/ 介绍方案\"这几个关键词在知识库里检索了一遍,目前**没有找到直接匹配的经验**。\n\n具体来说:\n- 知识库里已发布可查询的经验,集中在 **B2B 销售类**,比如:工业地产的长期跟进打法、培训课程销售的报价与客户筛选。\n- 我理解你问的场景是——**绩效咨询顾问**在客户组织里找到 sponsor(能拍板的发起人/高管),并**把方案有效介绍出去、获得支持**。这个主题(面向高管的提案与争取支持)目前还没有被萃取过,已有的卡更多讲的是\"客户嫌贵怎么报价\"\"怎么筛掉没长期付费能力的客户\",和你的问题不在一个方向上。\n\n可能的原因:\n- 这个场景还没被做过萃取\n- 或者相关经验正在萃取、校核中(还没发布,暂不能查询)\n\n**建议**:如果你认识有这方面突出能力的资深顾问(比如特别擅长搞定 sponsor、把方案讲得让高管点头的专家),这很适合作为**下一次经验萃取的主题**。我可以帮你规划这次萃取——先聊聊你们团队具体想提升什么、有没有合适的人选。\n\n需要的话,我可以现在就帮你**发起一次萃取规划**(诊断一下这个方向该怎么做),或者你再换个说法,我再帮你查查其他主题?"}]...
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2026-09-03 08:45:12
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[{"type":"text","text": [{"type":"text","text":"查一下有没有绩效咨询顾问提升与sponsor介绍方案的能力?"}]...
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2026-09-03 08:44:42
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