{ "version": 1, "updatedAt": "2026-05-13T13:40:41.646Z", "entries": { "memory:memory/2026-05-07.md:57:74": { "key": "memory:memory/2026-05-07.md:57:74", "path": "memory/2026-05-07.md", "startLine": 57, "endLine": 74, "source": "memory", "snippet": "3. **第三轮（用户要求重新发送三份文件后重算）：** 最终确认 **表1有但表2表3都没有 = 255个** - **第三轮详细统计：** - 三表共有：230 - 表1 ∩ 表2：492 - 表1 ∩ 表3：448 - 表2 ∩ 表3：427 - 表1有，表2没有：472（其中217个表3也有） - 最终：255个 - **关键发现：** - 表1（分类词表）覆盖了大量基础生活词汇，表3（L1词表）覆盖了其中的448个 - 最终的255个独有词主要集中在：抽象名词（advantage, attitude, courage）、学术/学科词汇（composition, grammar, pronunciation）、专业/特定领域词（cancer, clone, industry）等偏中高难度的词汇 - 表1和表3有大量重叠（448个），说明两个L1级别的词表覆盖范围高度一致 - 从上一轮260变成255（差5个），差异主要来自表2/表3重新解析后个别单词的增删 - **输出文件：** `/root/.openclaw/workspace-xiaoyan/output/单词对比结果_最终版.xlsx` - Sheet 1：255个单词完整清单（序号+单词+中文释义） - Sheet 2：全部统计指标汇总 - **用户 user_id：** `58fd6864`（租户级） - **发送消息时踩坑记录：** ou_xxx 是 open_id 非 user_id，Bot 缺少 contact:user.id:readonly 权限", "recallCount": 1, "dailyCount": 0, "groundedCount": 0, "totalScore": 0.6621249966506227, "maxScore": 0.6621249966506227, "firstRecalledAt": "2026-05-07T08:48:55.437Z", "lastRecalledAt": "2026-05-07T08:48:55.437Z", "queryHashes": [ "c2c576894acd" ], "recallDays": [ "2026-05-07" ], "conceptTags": [ "学术/学科词汇", "专业/特定领域词", "差异主要来自表2/表3重新解析后个别单词的增删", "user-id", "ou-xxx", "open-id", "user.id", "第三" ] }, "memory:memory/2026-05-07.md:215:235": { "key": "memory:memory/2026-05-07.md:215:235", "path": "memory/2026-05-07.md", "startLine": 215, "endLine": 235, "source": "memory", "snippet": "3. He is (4) Japan. → from（男孩穿和服，背景富士山） 4. She is a (7). → student（女孩背书包进校门） - **JSON 结构：** questionSetID=020102, category=writing, type=writing_pic_qa - **关键教训：** - 初版设计错误：让学手写 Anna/China 等非知识点词，被用户纠正 - 初版 questionDesc \"She is a (7) girl.\" 不自然，修正为 \"She is a (7).\" - writing_pic_qa 题型核心考察点：知识点词本身（am/from），而非题干已知信息 - 挖空字母数标记（如(4)）必须与答案单词字母数一致 - **词库缺口发现：** L1和L2词库均缺失人称代词(I/you/he/she)、be动词(am/is/are)、介词(from)、国家名等基础功能词，写题时先绕过词汇校验硬性约束 ### 刘彦江 (ou_5af74c1fb96042e33cc0f16b5ca02cf4) — 单元挑战新增3个题型（已完结） - 详见上文 11:19-11:28 记录 ### 刘彦江 (ou_5af74c1fb96042e33cc0f16b5ca02cf4) — 写作看图回答题 \"I am ready / Thank you\" 样题生产 - **时间：** 15:53 ~ 15:55 - **需求：** 使用知识点 \"I am ready! / Thank you for...\" 再生产一套", "recallCount": 2, "dailyCount": 0, "groundedCount": 0, "totalScore": 2, "maxScore": 1, "firstRecalledAt": "2026-05-08T01:18:18.412Z", "lastRecalledAt": "2026-05-11T02:37:23.203Z", "queryHashes": [ "390d35f8d143", "be437071312f" ], "recallDays": [ "2026-05-08", "2026-05-11" ], "conceptTags": [ "writing-pic-qa", "anna/china", "am/from", "i/you/he/she", "am/is/are", "19-11", "japan", "男孩" ] }, "memory:memory/2026-05-07.md:199:219": { "key": "memory:memory/2026-05-07.md:199:219", "path": "memory/2026-05-07.md", "startLine": 199, "endLine": 219, "source": "memory", "snippet": "### 刘彦江 (ou_5af74c1fb96042e33cc0f16b5ca02cf4) — 写作看图回答题 \"I am... / I am from...\" 样题生产 - **时间：** 15:38 ~ 15:52 - **需求：** 使用知识点 \"I am... / I am from...\" 生产一套写作看图回答题（writing_pic_qa） - **状态：** ✅ 已完成，用户确认 - **题型级别：** L2（因L1词库缺少所有代词/be动词/介词/国家名） - **难度：** A级 - **题量：** 4小题 - **核心原则（用户明确）：** 1. 挖空必须是考察知识点本身的单词（am/from/student），不是手写姓名/国名等附带信息 2. 只能为1个单词挖空，不能两个及以上 3. 正确模式示例：`I (2) Anna.` → 挖空am，数字标记字母数 4. 图片提供语境线索（名牌→am，地标→from国家，书包→student），学生填写核心知识点词 - **输出文件：** `output/writing_pic_qa_I_am_from_020102.json` - **题目清单：** 1. I (2) Anna. → am（女孩指着名牌，图片语境提示姓名已给出） 2. I am (4) China. → from（女孩站在长城前，国家名已给出） 3. He is (4) Japan. → from（男孩穿和服，背景富士山） 4. She is a (7). → student（女孩背书包进校门） - **JSON", "recallCount": 2, "dailyCount": 0, "groundedCount": 0, "totalScore": 2, "maxScore": 1, "firstRecalledAt": "2026-05-08T01:18:18.412Z", "lastRecalledAt": "2026-05-11T02:37:23.203Z", "queryHashes": [ "390d35f8d143", "be437071312f" ], "recallDays": [ "2026-05-08", "2026-05-11" ], "conceptTags": [ "writing-pic-qa", "因l1词库缺少所有代词/be动词/介词/国家名", "am/from/student", "不是手写姓名/国名等附带信息", "彦江", "写作", "回答", "生产" ] }, "memory:memory/2026-05-07.md:1:20": { "key": "memory:memory/2026-05-07.md:1:20", "path": "memory/2026-05-07.md", "startLine": 1, "endLine": 20, "source": "memory", "snippet": "# 2026-05-07 工作日志 ## 会话记录 ### 刘彦江 (ou_5af74c1fb96042e33cc0f16b5ca02cf4) — 单元挑战新增3个题型 - **时间：** 11:19 ~ 11:28 - **需求：** 单元挑战新增3个题型：阅读看图回答题（reading_pic_qa）、阅读看图判断题（reading_pic_judge）、写作看图回答题（writing_pic_qa） - **状态：** ✅ 已完成题型规范落地 - **交付内容：** 1. 创建3个题型SKILL.md： - `reading/common/reading_pic_qa/SKILL.md` — 阅读看图回答题（共享大图+多题Yes/No判断） - `reading/common/reading_pic_judge/SKILL.md` — 阅读看图判断题（每题独立配图+Yes/No判断） - `writing/common/writing_pic_qa/SKILL.md` — 写作看图回答题（看图+提示答案开头+填空） 2. 更新 `MEMORY.md` 全题型阶段归属规则 3. 明确题型JSON结构、难度等级（A/B/C/D四级）、能力标签、校验规则 - **关键决策：** 3个题型均为 L1&L2 共用，通过难度参数区分阶段；reading_pic_qa 共享大图，reading_pic_judge 每题独立配图 ### 李应瑛 (ou_1bd7317ae2ccfeb57e1132028847279e) — 单词表对比请求", "recallCount": 7, "dailyCount": 0, "groundedCount": 0, "totalScore": 7, "maxScore": 1, "firstRecalledAt": "2026-05-08T01:18:18.412Z", "lastRecalledAt": "2026-05-12T01:41:17.155Z", "queryHashes": [ "390d35f8d143", "fd4c9b7de37b", "be437071312f", "0e27779653c1", "5c08c6f8788a", "4ab75020b1ab", "7ca0207f1308" ], "recallDays": [ "2026-05-08", "2026-05-09", "2026-05-11", "2026-05-12" ], "conceptTags": [ "reading-pic-qa", "reading-pic-judge", "writing-pic-qa", "创建3个题型skill.md", "多题yes/no判断", "yes/no判断", "memory.md", "a/b/c/d四级" ] }, "memory:memory/2026-04-13.md:1:5": { "key": "memory:memory/2026-04-13.md:1:5", "path": "memory/2026-04-13.md", "startLine": 1, "endLine": 5, "source": "memory", "snippet": "## 2026-04-13 12:28 [童瑶需求] 读取飞书文档https://makee-interactive.feishu.cn/wiki/QkY5wkcZYindgzkv5O0cpApRnzh内L1S1_Unit 11【其他需求】中所有的图片，并根据【描述】列的ID重命名为\"ID.png\" [执行结果] 完成35张图片的提取和重命名，保存到unit11_final_images/目录下，包含L1-L5全级别教研图、选项图，全部符合命名规则。", "recallCount": 1, "dailyCount": 0, "groundedCount": 0, "totalScore": 1, "maxScore": 1, "firstRecalledAt": "2026-05-11T02:19:37.985Z", "lastRecalledAt": "2026-05-11T02:19:37.985Z", "queryHashes": [ "6f88450e9f9b" ], "recallDays": [ "2026-05-11" ], "conceptTags": [ "id.png", "保存到unit11-final-images/目录下", "包含l1-l5全级别教研图", "需求", "https", "makee", "interactive.feishu.cn", "wiki" ] }, "memory:memory/2026-05-08.md:33:55": { "key": "memory:memory/2026-05-08.md:33:55", "path": "memory/2026-05-08.md", "startLine": 33, "endLine": 55, "source": "memory", "snippet": "**图片资源新规：** - 每个题组共享一张图（非每题独立配图） - 产出 JSON 同时输出图片描述 prompt（英文，卡通简线条风格） - prompt 写入 bitable `图片描述` 列，格式 `{\"first\": \"...\", \"second\": \"...\"}` **通用化写入流程：** - 单元挑战全题型适用：定位 bitable 表 → 创建/更新记录 → 写入 `题目集合 ID` + `jsonData` + `图片描述` - 各题型仅 jsonData 结构不同，写入流程统一 **重写文件：** - `business_production/单元挑战/skills/unit_challenge/questions/writing/common/writing_pic_qa/SKILL.md`（11节完整规范） - `business_production/单元挑战/skills/unit_challenge/questions/writing/writing_pic_qa/SKILL.md`（简化为快速入口） **bitable 更新：** 已将新 JSON（每题组1图2题）+ 图片描述写入 `recviZlAxxXlAb` ### 刘彦江 (ou_5af74c1fb96042e33cc0f16b5ca02cf4) — 图片描述格式修正 - **时间：** 09:46 ~ 09:51 - **修正：** 用户给出中文样例格式，要求图片描述从英文 prompt 改为纯中文结构化列表 - **新格式：** 编号 `1.` / `2.` 自上而下，每段", "recallCount": 4, "dailyCount": 0, "groundedCount": 0, "totalScore": 4, "maxScore": 1, "firstRecalledAt": "2026-05-11T02:19:37.985Z", "lastRecalledAt": "2026-05-13T13:40:41.646Z", "queryHashes": [ "6f88450e9f9b", "be437071312f", "11ea0881b126", "08b6f3142a2b" ], "recallDays": [ "2026-05-11", "2026-05-13" ], "conceptTags": [ "创建/更新记录", "图片", "资源", "共享", "一张", "每题", "独立", "同时" ] }, "memory:memory/2026-05-08.md:1:23": { "key": "memory:memory/2026-05-08.md:1:23", "path": "memory/2026-05-08.md", "startLine": 1, "endLine": 23, "source": "memory", "snippet": "### 刘彦江 (ou_5af74c1fb96042e33cc0f16b5ca02cf4) — writing_pic_qa 样题生产 \"I am / I am going to / I am ready / Thank you for\" - **时间：** 09:26 ~ 09:34 - **需求：** 生产 writing_pic_qa A级样题，ID=000001，2题组各2小题 - **状态：** ✅ 已完成，已写入飞书多维表格 - **目标表格：** 单元挑战 → 写作-P3-看图回答题 (tblFc9TVl2PeM2tg)，record_id=recviZlAxxXlAb - **题目清单：** 题组1 (first): 1. I (2) a student. → am（女孩穿校服举手，考察be动词am） 2. I am (5) to school. → going（男孩背书包走向校门，考察going） 题组2 (second): 3. I am (5)! → ready（男孩穿泳衣戴泳镜，考察状态词ready） 4. Thank you (3) the book. → for（女孩接书微笑，考察介词for） - **核心修正（用户反馈）：** 1. 挖空必须考察知识点核心词，非附带信息（you → for） 2. 不能挖空题干已有信息（如姓名/国家名），只挖知识点词本身 3. 只能为1个单词挖空 4. question与questionDesc人称必须一致（统一改为 What does [角色] say? → 第一人称直接", "recallCount": 1, "dailyCount": 0, "groundedCount": 0, "totalScore": 1, "maxScore": 1, "firstRecalledAt": "2026-05-11T02:37:23.203Z", "lastRecalledAt": "2026-05-11T02:37:23.203Z", "queryHashes": [ "be437071312f" ], "recallDays": [ "2026-05-11" ], "conceptTags": [ "writing-pic-qa", "写作-p3-看图回答题", "record-id", "如姓名/国家名", "彦江", "生产", "going", "ready" ] }, "memory:memory/2026-05-11.md:39:55": { "key": "memory:memory/2026-05-11.md:39:55", "path": "memory/2026-05-11.md", "startLine": 39, "endLine": 55, "source": "memory", "snippet": "- `基础信息表达｜个人信息问答` — 姓名/年龄/家庭/外貌类 - `表达喜好与理由` — 偏好/观点/意愿类 - `过去经历描述｜Past Activities` — 过去事件类 - `互动应答｜问答交流` — 社交场景类 - `信息交换｜双向问答` — 物品归属/需求类 - 未使用标签（属看图/发音题型专用）：图片描述类(3个)、图片对比、故事讲述、发音与语调 - **分类逻辑**：基于关键词匹配（what do you say → 互动应答; what did you/last → 过去经历; favorite/like/want → 喜好; name/age/from/family → 个人信息; whose/need → 信息交换） ### 刘彦江 — reading_matchInfo 阅读信息匹配题（4套: 010901/011001/011101/011201，18:55 ~ 19:15） - **需求：** 4套 reading_matchInfo，L2 A级，能力标签 标识与通知理解｜标识 & 通知 - 每套 first=5q + second=5q，每题含 questionImage/question/options/answer/ability/explanation - **表：** 阅读-P1-信息匹配题（tblCgfYDnnqwLfgH） - **自动化问题：** 该表存在异步自动化，创建后会将 jsonData 改写为模板壳（减少题量+覆盖 ability） - **解决方案：** 两阶段延迟写入（先创建空记录→等35s让", "recallCount": 2, "dailyCount": 0, "groundedCount": 0, "totalScore": 2, "maxScore": 1, "firstRecalledAt": "2026-05-12T01:33:44.968Z", "lastRecalledAt": "2026-05-12T01:41:17.155Z", "queryHashes": [ "4ab75020b1ab", "7ca0207f1308" ], "recallDays": [ "2026-05-12" ], "conceptTags": [ "姓名/年龄/家庭/外貌类", "偏好/观点/意愿类", "物品归属/需求类", "属看图/发音题型专用", "you/last", "favorite/like/want", "name/age/from/family", "whose/need" ] }, "memory:memory/2026-05-11.md:20:43": { "key": "memory:memory/2026-05-11.md:20:43", "path": "memory/2026-05-11.md", "startLine": 20, "endLine": 43, "source": "memory", "snippet": "- **需求：** 2套 reading_pic_qa，L2 A级，能力标签 图文判断｜句图一致性 - 每套5+5道 Y/N 判断，3Y2N平衡，4-7词陈述句 - **状态：** ✅ 已完成，2套全部入库 + 图片描述回填验证通过 - **脚本：** `scripts/batch_reading_pic_qa_2.py` | ID | 题组1 | 题组2 | record_id | |----|-------|-------|-----------| | 010701 | notebook/star/folder/diary/contact | friendly/crazy/brilliant/kind/afraid | recvjiQuGtsVp8 | | 010801 | uncle/aunt/grandma/neighbour/pet | expensive/entrance/upstairs/downstairs/toast | recvjiQvc8EsB8 | - 表：阅读-P7-看图回答题（tblweY65jGBiwSdt） - 当前该表累计：11条记录（000001~010801，含reading_pic_judge类型 4 条及其他） ### 刘彦江 — 口语-P1-日常回答 ability 标签填充（18:15 ~ 18:25） - **需求：** 从能力标签名称图片中，选择与已生成题目契合的标签填入 jsonData - 表：口语-P1-日常回答（tblRGv7k4WH58Jgq），26条有效记录，185道题 - **状态：** ✅ 全部完成 - *", "recallCount": 1, "dailyCount": 0, "groundedCount": 0, "totalScore": 1, "maxScore": 1, "firstRecalledAt": "2026-05-12T01:33:44.968Z", "lastRecalledAt": "2026-05-12T01:33:44.968Z", "queryHashes": [ "4ab75020b1ab" ], "recallDays": [ "2026-05-12" ], "conceptTags": [ "reading-pic-qa", "y/n", "4-7词陈述句", "record-id", "uncle/aunt/grandma/neighbour/pet", "阅读-p7-看图回答题", "含reading-pic-judge类型", "口语-p1-日常回答" ] }, "memory:memory/2026-05-11.md:66:83": { "key": "memory:memory/2026-05-11.md:66:83", "path": "memory/2026-05-11.md", "startLine": 66, "endLine": 83, "source": "memory", "snippet": "1. 图片应是**真实标识/通知**（非标签式），如零售楼层导览那种 2. 图片上的文字**至少为一句话**，L2 A级难度，不能只有一个词 - **处理：** 4 套 reading_matchInfo 全部重新设计（题目+图片描述），两阶段延迟写入 - **新record_ids:** recvjj2Nuw9MJd / recvjj2NZz75zb / recvjj2Ov8Stks / recvjj2OX0Dmo5 - **改进要点：** - 每张图改为真实通知/标识，如 \"TRAINS to the NORTH. Go to Platform 3.\" - 图片文字至少 1 句完整陈述，含足够信息供阅读提取 - 题目围绕通知/标识内容提问，考察学生从标识中抓取关键信息的能力 ### 刘彦江 — reading_matchInfo 阅读信息匹配题（6套L2 B级: 021301-021801，19:30 ~ 19:45） - **需求：** 6套 reading_matchInfo，L2 B级，能力标签 标识与通知理解｜标识 & 通知 - **B级规范：** 文本3-5词短句，图片为同类差异，简单对应；每张图是真实的标识/通知（非标签式） - **状态：** ✅ 全部完成（两阶段延迟写入策略，避免自动化覆盖） - **脚本：** `scripts/batch_reading_matchInfo.py` | ID | 题组1 | 题组2 | record_id | |----|-------|-------|-----------| | 021301 |", "recallCount": 1, "dailyCount": 0, "groundedCount": 0, "totalScore": 1, "maxScore": 1, "firstRecalledAt": "2026-05-12T01:41:17.155Z", "lastRecalledAt": "2026-05-12T01:41:17.155Z", "queryHashes": [ "7ca0207f1308" ], "recallDays": [ "2026-05-12" ], "conceptTags": [ "真实标识/通知", "reading-matchinfo", "新record-ids", "每张图改为真实通知/标识", "题目围绕通知/标识内容提问", "021301-021801", "文本3-5词短句", "每张图是真实的标识/通知" ] }, "memory:memory/2026-05-11.md:51:68": { "key": "memory:memory/2026-05-11.md:51:68", "path": "memory/2026-05-11.md", "startLine": 51, "endLine": 68, "source": "memory", "snippet": "- **自动化问题：** 该表存在异步自动化，创建后会将 jsonData 改写为模板壳（减少题量+覆盖 ability） - **解决方案：** 两阶段延迟写入（先创建空记录→等35s让自动化完成→PUT jsonData），010901/011201 修复后验证通过 | ID | 题组1 | 题组2 | record_id | |----|-------|-------|-----------| | 010901 | north/east/south/west/exit（方向标识） | businessman/job/letter/call/guard（职场） | recvjiYAHtp05c | | 011001 | beat/dancer/drum/player/work（音乐体育） | aged/good-looking/mistake/weakness/be good at（人物描述） | recvjiXLdt5itq | | 011101 | dangerous/badly/worst/steal/run away（危险） | minute/close/kilometre/second/away（时间距离） | recvjiXLOOWMsq | | 011201 | summer/winter/Earth/holiday/term（季节） | examination/plus/minus/biology/study（学校） | recvjiYBd8Mejs | - **脚本：** `scripts/batch_reading_matchInfo.py` - *", "recallCount": 1, "dailyCount": 0, "groundedCount": 0, "totalScore": 1, "maxScore": 1, "firstRecalledAt": "2026-05-12T01:41:17.155Z", "lastRecalledAt": "2026-05-12T01:41:17.155Z", "queryHashes": [ "7ca0207f1308" ], "recallDays": [ "2026-05-12" ], "conceptTags": [ "010901/011201", "record-id", "north/east/south/west/exit", "beat/dancer/drum/player/work", "dangerous/badly/worst/steal/run", "summer/winter/earth/holiday/term", "自动", "问题" ] }, "memory:memory/2026-05-12.md:206:226": { "key": "memory:memory/2026-05-12.md:206:226", "path": "memory/2026-05-12.md", "startLine": 206, "endLine": 226, "source": "memory", "snippet": "- **10 条 sentenceMeaningMeaning JSON 修复：** - 根因：explanation 中 ASCII `\"` 被用作中文引号 - 修复策略演变：状态机拆分失败 → 正则重建 → 发现Q2丢失 → 从中文列完整重建 - 最终：10/10 可正确解析，审校结果同步更新 - 受影响：1213004/1213006/1213010/1214008/1215005/1216001/1216004/1216007/1216008/1216010 ### 刘彦江 — 核心互动全题型 JSON 配置标准沉淀（17:05 ~ 17:50） - **产出 Skill 1：** `skills/bitable-reader/SKILL.md` — 通用 bitable 读取（任何 bitable 通用） - **产出 Skill 2：** `skills/core-content-json-standard/SKILL.md` v2.0 — 全题型 JSON 标准（393行） - **架构：** 通用字段在前（ID/kpInfo/taskData）+ 5大题型分类（📖阅读2 🎧听力3 🗣口语4 ✏️写作5）+ 审校规则 + 扩展指南 - **覆盖率：** 14/15 种题型（口语探讨 S0 无数据） - **产出脚本：** `scripts/audit_core_reading_S0.py` — 合作阅读 S0 审校 ## 经验教训 ### bitable 写入需严格流程管控（2026-05-12） - 批量更新 JSON：写入前完整提取", "recallCount": 1, "dailyCount": 0, "groundedCount": 0, "totalScore": 1, "maxScore": 1, "firstRecalledAt": "2026-05-13T03:09:54.362Z", "lastRecalledAt": "2026-05-13T03:09:54.362Z", "queryHashes": [ "f151bc633ad1" ], "recallDays": [ "2026-05-13" ], "conceptTags": [ "10/10", "skills/bitable-reader/skill.md", "v2.0", "id/kpinfo/taskdata", "14/15", "scripts/audit-core-reading-s0.py", "sentencemeaningmeaning", "修复" ] }, "memory:memory/2026-04-30.md:50:63": { "key": "memory:memory/2026-04-30.md:50:63", "path": "memory/2026-04-30.md", "startLine": 50, "endLine": 63, "source": "memory", "snippet": "格式: 【任务标题】【情境引入】【互动内容】【互动反馈】【后置对话】。目标词用$...$包裹，选项为图片区域编号(00/01/02)。 #### 5. 对话选择 (1条) — 规则: 参考 teaching_config 示例格式 + mid_dialog_choose prompt | ID | 任务标题 | 选项 | 知识点 | |---|---------|------|--------| | 1115514 | 判断蕃茄的好坏 | It is a good one. / It is a bad one. | one | 格式: 【任务标题】【资源配置】【情境引入】【互动内容】【后置对话】。互动内容含要求+选项+反馈。 ### 关键经验 - **组件配置列位置变更**: 本轮操作中发现sheet新增了「配置信息」列(C列)，导致组件配置从F列移至G列。后续操作需先确认列结构。 - **Bot身份操作**: 所有飞书 sheet 写入均使用 Bot 身份（App ID: cli_a931175d41799cc7），Feishu API Token: t-g1044ubUXXMPFXBW75RILL7YZKRGAKQGWWDV2R3D - **对话选择组件**: 无独立 SKILL.md，需参照 interactive-component-json 的 prompt_registry.py 中 mid_dialog_choose 模板 + bitable 中已有的 teaching_config 示例格式", "recallCount": 1, "dailyCount": 0, "groundedCount": 0, "totalScore": 1, "maxScore": 1, "firstRecalledAt": "2026-05-13T03:09:54.362Z", "lastRecalledAt": "2026-05-13T03:09:54.362Z", "queryHashes": [ "f151bc633ad1" ], "recallDays": [ "2026-05-13" ], "conceptTags": [ "00/01/02", "teaching-config", "mid-dialog-choose", "cli-a931175d41799cc7", "skill.md", "interactive-component-json", "prompt-registry.py", "格式" ] }, "memory:memory/2026-04-30.md:23:41": { "key": "memory:memory/2026-04-30.md:23:41", "path": "memory/2026-04-30.md", "startLine": 23, "endLine": 41, "source": "memory", "snippet": "| 8 | 对话朗读 | 我来刷漆吧 | Let me paint it. | 格式: 【任务标题】【资源配置】【情景引入】【互动内容】【后置对话】。情景引入和后置对话默认「无」。 #### 2. 对话挖空 (2条) — 规则: dialogue-fill-in-blanks-config | ID | 任务标题 | 挖空句 | 正确选项 | 干扰项 | 知识点 | |---|---------|--------|---------|--------|--------| | 9 | 告诉May这刷子是我的 | It is ___. | mine | May | mine | | 11 | 给稻草人John画张脸 | We need to ___ a face on John! | paint | make | paint | 格式: 【任务标题】【资源配置】【情境引入】【互动内容】【互动反馈】【后置对话】。挖空句结尾标注（音频），选项标注（正确），反馈台词贴合剧情。 #### 3. 对话组句 (3条) — 规则: dialogue-sentence-building-config | ID | 任务标题 | 答案 | 选项词 | 知识点 | |---|---------|------|-------|--------| | 10 | 制止BoBo拿我的刷子 | BoBo stop, it is mine! | BoBo/stop/it/is/mine | mine | | 12 | 告诉May我也有一顶帽子 | I have one too! | I/have/one/", "recallCount": 1, "dailyCount": 0, "groundedCount": 0, "totalScore": 1, "maxScore": 1, "firstRecalledAt": "2026-05-13T03:09:54.362Z", "lastRecalledAt": "2026-05-13T03:09:54.362Z", "queryHashes": [ "f151bc633ad1" ], "recallDays": [ "2026-05-13" ], "conceptTags": [ "dialogue-fill-in-blanks-config", "bobo/stop/it/is/mine", "i/have/one", "对话", "朗读", "我来", "let", "paint" ] }, "memory:memory/2026-04-02.md:1:16": { "key": "memory:memory/2026-04-02.md:1:16", "path": "memory/2026-04-02.md", "startLine": 1, "endLine": 16, "source": "memory", "snippet": "# 2026-04-02 工作日志 ## 【规则沉淀】对话台词优化通用规则（来自11-4棒球单元案例） ### 适用场景：所有英语教研内容对话台词润色、优化、修改 --- #### 核心修改规则 1. **精简原则**：删除所有冗余重复表述（重复提到的核心名词如baseball可省略，前文已交代的背景信息不再重复） 2. **口语化原则**：所有台词符合日常对话习惯，避免书面化、生硬的表达，适当增加语气词（Haha、Oops、Uh-oh、Oh boy等） 3. **拆分原则**：长度超过8个单词的长句拆分为2-3个短句，每句对应一个动作/情绪节点，增强交互节奏 4. **情绪匹配原则**：台词语气严格匹配角色当前情绪（惊讶时拆分句子加问号，欢呼时用短词，失落时用省略号） 5. **场景适配原则**：可通过动画/画面表达的内容，不再用台词重复表述，减少信息冗余 --- #### 统一风格标准 整体风格定位：低龄友好、活泼生动、节奏感强、代入感高 - 单句最长不超过10个单词，核心知识点相关句子不超过7个单词 - 每个角色的台词符合其人设（Matt阳光直率、Tom活泼有趣、Amber骄傲好胜） - 对话节奏快，每2-3句台词对应一个剧情节点或互动环节", "recallCount": 1, "dailyCount": 0, "groundedCount": 0, "totalScore": 1, "maxScore": 1, "firstRecalledAt": "2026-05-13T03:18:48.153Z", "lastRecalledAt": "2026-05-13T03:18:48.153Z", "queryHashes": [ "633af3858f54" ], "recallDays": [ "2026-05-13" ], "conceptTags": [ "来自11-4棒球单元案例", "uh-oh", "长度超过8个单词的长句拆分为2-3个短句", "每句对应一个动作/情绪节点", "可通过动画/画面表达的内容", "每2-3句台词对应一个剧情节点或互动环节", "工作", "日志" ] }, "memory:memory/2026-05-13.md:88:108": { "key": "memory:memory/2026-05-13.md:88:108", "path": "memory/2026-05-13.md", "startLine": 88, "endLine": 108, "source": "memory", "snippet": "### kids-english-script-production 触发机制 - [刘彦江] 要求增加防误触发 - 更新文件： - `business_production/剧本翻译/skills/kids-english-script-production/assets/skill.yml` — 注册描述 - `business_production/剧本翻译/skills/kids-english-script-production/SKILL.md` — 新增触发方式章节 - 触发指令：`/英文台词 --feishu-url <链接> --stage ` （命令触发，推荐） - 短语触发：消息含\"英文台词生产\" - 不会触发：仅含\"翻译\"/\"台词\"/\"英文\" (防误匹配) ## 刘彦江 — 课程组件生产/审校/回填技能创建 ### script-component-production 技能 - 路径：`business_production/课程组件/skills/script-component-production/` - 覆盖：27种中互动 + 14种核心互动组件类型 - 6节点流程：读取文档→解析Sheet→识别组件行→匹配组件类型→LLM生成JSON→审校→回填 - 触发：`/组件配置 --feishu-url <链接>` （命令触发，推荐） - 防误触发：仅含\"互动\"/\"配置\"/\"JSON\"不触发 - 与 /英文台词 技能协作：先英文台词回填列F，后组件配置回填列G - 创建文件： - `SKILL.md` — 完整技能文档（", "recallCount": 1, "dailyCount": 0, "groundedCount": 0, "totalScore": 1, "maxScore": 1, "firstRecalledAt": "2026-05-13T07:40:28.541Z", "lastRecalledAt": "2026-05-13T07:40:28.541Z", "queryHashes": [ "3beb30f546c9" ], "recallDays": [ "2026-05-13" ], "conceptTags": [ "kids-english-script-production", "feishu-url", "课程组件生产/审校/回填技能创建", "script-component-production", "skill.md", "kids", "english", "script" ] }, "memory:memory/2026-05-13.md:71:92": { "key": "memory:memory/2026-05-13.md:71:92", "path": "memory/2026-05-13.md", "startLine": 71, "endLine": 92, "source": "memory", "snippet": "## 刘彦江 — 教学大纲文档结构解析 + 英文台词回填 + skill触发机制 ### S1/S2 大纲文档结构 - 文档：https://makee-interactive.feishu.cn/wiki/IOmNwV55Si6JTykCAM5c1HM1nSd - 类型：独立电子表格，含 2 个子表 - S1 大纲：264行×22列，Unit 0~12，2行冻结表头 - S2 大纲：204行×22列，Unit 13~18 - 列结构：A=Unit / B=Lesson / C~F=Vocabulary(知识模块/单词/词性/词义) / G~I=Sentences(知识模块/句型/例句) / J~V=未使用 - 每Unit有 Lesson 1~5，每行=一条词汇+可选句型（知识模块维度独立） ### 英文台词生产并回填：L1-S2-U17-L3 紧急拜访 - 文档：https://makee-interactive.feishu.cn/wiki/FkKgw4jBPix9lNkRemLcSwYOnid - spreadsheet_token: DA7csROG6hmnQMt59oScOLRfnWc, sheet: Nr3Ovs - 知识点：grandmother, grandfather, visit, today + 句型 Today is... / ...visit+sb - 操作：清空列F → 按MEMORY.md对话台词优化规则重新生产116条 → 写入并验证通过 - 规则应用：知识点保留/精简/口语化(收缩)/拆分(>8词)/情绪匹配/正向引导(mad→up", "recallCount": 1, "dailyCount": 0, "groundedCount": 0, "totalScore": 1, "maxScore": 1, "firstRecalledAt": "2026-05-13T07:40:28.541Z", "lastRecalledAt": "2026-05-13T07:40:28.541Z", "queryHashes": [ "3beb30f546c9" ], "recallDays": [ "2026-05-13" ], "conceptTags": [ "s1/s2", "知识模块/单词/词性/词义", "知识模块/句型/例句", "l1-s2-u17-l3", "spreadsheet-token", "按memory.md对话台词优化规则重新生产116条", "知识点保留/精简/口语化", "情绪匹配/正向引导" ] }, "memory:memory/2026-05-13.md:105:115": { "key": "memory:memory/2026-05-13.md:105:115", "path": "memory/2026-05-13.md", "startLine": 105, "endLine": 115, "source": "memory", "snippet": "- 与 /英文台词 技能协作：先英文台词回填列F，后组件配置回填列G - 创建文件： - `SKILL.md` — 完整技能文档（触发/流程/组件类型速查/审校项/使用示例） - `assets/skill.yml` — 技能注册（依赖 interactive-component-json/core-content-json-standard 等） - `assets/component_rules.yaml` — 组件类型自动匹配信号规则 - `assets/review_checklist.yaml` — 15项审校清单（ID/字段/题型/知识点/选项/高亮/反馈/超纲等） ### 已更新文件 - `component-design/SKILL.md` — 增加触发方式章节（防误触发） - `kids-english-script-production/assets/skill.yml` + `SKILL.md` — 增加 /英文台词 触发（上轮）", "recallCount": 1, "dailyCount": 0, "groundedCount": 0, "totalScore": 1, "maxScore": 1, "firstRecalledAt": "2026-05-13T07:40:28.541Z", "lastRecalledAt": "2026-05-13T07:40:28.541Z", "queryHashes": [ "3beb30f546c9" ], "recallDays": [ "2026-05-13" ], "conceptTags": [ "skill.md", "触发/流程/组件类型速查/审校项/使用示例", "assets/skill.yml", "assets/component-rules.yaml", "assets/review-checklist.yaml", "id/字段/题型/知识点/选项/高亮/反馈/超纲等", "component-design/skill.md", "英文" ] }, "memory:memory/2026-05-13.md:1:33": { "key": "memory:memory/2026-05-13.md:1:33", "path": "memory/2026-05-13.md", "startLine": 1, "endLine": 33, "source": "memory", "snippet": "# 2026-05-13 工作记忆 ## 王璐辰 — 剧本台词润色审校 ### 审校#1: L1-S2-U18-L1 中国周 - 文档：https://makee-interactive.feishu.cn/wiki/PgWrwllW2ikQKgkLTYKcmKFonXc - 🔴 必须修改 4 项（行70句子过长、行72 you→your、行157 It this→Is this、行159全角？） - 🟡 建议关注 9 项 | ⚠️ 缺失润色 2 项（行47图片单选4、行185核心听力17） ### 审校#2: L1-S2-U18-L2 登龙秘笈 - 文档：https://makee-interactive.feishu.cn/wiki/KNAZwTYXsib2Ijk6BrGciRelnSf - 🔴 必须修改 1 项（行120空格缺失） - 🟡 建议关注：全文 dragon/loong 混用 - ⚠️ 缺失润色 2 项 ### 格式约定 [王璐辰确认] 后续\"审校\"请求默认输出格式： 1. 表格概况（行数/覆盖） 2. 🔴 必须修改 → 表格列出（行号/角色/问题/当前值/建议修改） 3. 🟡 建议关注 → 表格列出 4. ⚠️ 缺失项（如有） 5. ✅ 整体评价 # 2026-05-13 工作记忆 ## 王璐辰 — 剧本台词润色审校 ### 审校#1: L1-S2-U18-L1 中国周 - 文档：https://makee-interactive.feishu.cn/wiki/PgWrwllW2ikQKgkLTYKcmKFonXc - 🔴 必须修改", "recallCount": 1, "dailyCount": 0, "groundedCount": 0, "totalScore": 1, "maxScore": 1, "firstRecalledAt": "2026-05-13T09:14:31.249Z", "lastRecalledAt": "2026-05-13T09:14:31.249Z", "queryHashes": [ "4906de25dd2a" ], "recallDays": [ "2026-05-13" ], "conceptTags": [ "l1-s2-u18-l1", "l1-s2-u18-l2", "dragon/loong", "行数/覆盖", "行号/角色/问题/当前值/建议修改", "工作", "记忆", "剧本" ] }, "memory:memory/2026-05-12.md:189:209": { "key": "memory:memory/2026-05-12.md:189:209", "path": "memory/2026-05-12.md", "startLine": 189, "endLine": 209, "source": "memory", "snippet": "- **脚本：** `scripts/fix_matchInfo_0213_0218_desc.py` - **技能更新：** 图片描述规范写入 `business_production/单元挑战/skills/unit_challenge/questions/reading/reading_info_match/SKILL.md` ### 刘彦江 — L1 配置表审校 + 技能沉淀（11:50 ~ 12:10） - **数据源：** `Nq3Zb258aae7SRs2QfXcqsQYnxJ` / `tblTxGpf6GQ5c7DZ` - **ID 编码：** 7位 = S(2位) + U(2位) + 序列号(3位) - **技能沉淀：** `scripts/audit_l1_config.py` + `skills/audit_l1_config/SKILL.md` ### 刘彦江 — 1213001-1216010 批量审校 40 条（12:10 ~ 14:00） - **范围：** L1S2 Units 13-16 - **脚本修复（过程中）：** sort 大小写误报 / ID 末尾空格 / 朗读跟读题误报 - **结果：** 系统性 classificationInfo 互换(已标记不视为错误) + 17条具体错误 + 23条通过 - **脚本：** `scripts/audit_l1_config.py` + `scripts/audit_batch_1213001_1216010.py` ### 刘彦江 — 审校结果修正 + JSON 修复（14:00 ~", "recallCount": 1, "dailyCount": 0, "groundedCount": 0, "totalScore": 1, "maxScore": 1, "firstRecalledAt": "2026-05-13T09:14:31.249Z", "lastRecalledAt": "2026-05-13T09:14:31.249Z", "queryHashes": [ "4906de25dd2a" ], "recallDays": [ "2026-05-13" ], "conceptTags": [ "scripts/audit-l1-config.py", "skills/audit-l1-config/skill.md", "1213001-1216010", "13-16", "脚本", "scripts", "fix-matchinfo-0213-0218-desc.py", "技能" ] }, "memory:memory/2026-05-12.md:92:113": { "key": "memory:memory/2026-05-12.md:92:113", "path": "memory/2026-05-12.md", "startLine": 92, "endLine": 113, "source": "memory", "snippet": "- L2 B级及以上图片文字需为完整陈述句（3-5词+） ### 刘彦江 — L1 配置表审校 + 技能沉淀（11:50 ~ 12:10） - **数据源：** 飞书多维表格「互动知识点 - 句子」→「Level 1 配置表」(`Nq3Zb258aae7SRs2QfXcqsQYnxJ` / `tblTxGpf6GQ5c7DZ`) - **ID 编码规则：** 7位 = 前2位(Season) + 中2位(Unit) + 后3位(序列号) - 例: 1214001 = L1S2(12) + U14(14) + 001 - **审校记录 1214001 (You need to...) 发现：** 1. ❌ classificationInfo 值互换: cambridgeLevel=A1 vs cefrLevel=YLE（与列字段反了） 2. ❌ sentenceStructureSort 题2: 单词库有need无needs，三单主语Otis语法错误 3. ⚠️ sentenceStructureClozeWordMcq: \"put your toys\" 省略 away 不够自然 - **技能沉淀：** - 脚本: `scripts/audit_l1_config.py` — 7项自动检查 - SKILL.md: `skills/audit_l1_config/SKILL.md` — 含完整审校流程 + 4项人工审核清单 ### 刘彦江 — 1213001-1216010 批量审校 40 条（12:10 ~ 14:00） - **范围：** L1", "recallCount": 1, "dailyCount": 0, "groundedCount": 0, "totalScore": 1, "maxScore": 1, "firstRecalledAt": "2026-05-13T09:14:31.249Z", "lastRecalledAt": "2026-05-13T09:14:31.249Z", "queryHashes": [ "4906de25dd2a" ], "recallDays": [ "2026-05-13" ], "conceptTags": [ "3-5词", "scripts/audit-l1-config.py", "skill.md", "skills/audit-l1-config/skill.md", "1213001-1216010", "以上", "图片", "文字" ] }, "memory:memory/2026-05-12.md:1:20": { "key": "memory:memory/2026-05-12.md:1:20", "path": "memory/2026-05-12.md", "startLine": 1, "endLine": 20, "source": "memory", "snippet": "# 2026-05-12 工作日志 ## 会话记录 ### 刘彦江 — 021301-021801 图片描述修正 + 技能更新（09:35 ~ 09:45） - **问题：** 021301-021801 信息匹配题的图片描述缺少 `【Notice Type】` 标签，格式不符合参考规范 - **处理：** 1. 查询 bitable 获取6条记录当前图片描述（tblCgfYDnnqwLfgH） 2. 按每道题的上下文匹配对应的标识/通知类型标签（如 Show Poster、Wanted Notice、School Notice 等） 3. 批量更新6条记录的图片描述字段，全部10个 `【Type】` 标签验证通过 4. 脚本：`scripts/fix_matchInfo_0213_0218_desc.py` - **技能更新：** 将图片描述规范（格式要求、核心规则、参考示例、常用类型标签参考表）更新到 `business_production/单元挑战/skills/unit_challenge/questions/reading/reading_info_match/SKILL.md` - **规范要点：** - 每张图片 → `图片材料文本：\\n【Type】\\nActual text` - 图片必须是真实标识/通知（非标签式） - L2 B级及以上图片文字需为完整陈述句（3-5词+） ### 刘彦江 — L1 配置表审校 + 技能沉淀（11:50 ~ 12:10） - **数据源：** 飞书多维表格「互动知识点 - 句子」→「Level", "recallCount": 2, "dailyCount": 0, "groundedCount": 0, "totalScore": 2, "maxScore": 1, "firstRecalledAt": "2026-05-13T13:40:33.965Z", "lastRecalledAt": "2026-05-13T13:40:41.646Z", "queryHashes": [ "11ea0881b126", "08b6f3142a2b" ], "recallDays": [ "2026-05-13" ], "conceptTags": [ "021301-021801", "按每道题的上下文匹配对应的标识/通知类型标签", "图片必须是真实标识/通知", "3-5词", "工作", "日志", "会话", "记录" ] }, "memory:memory/2026-05-12.md:36:52": { "key": "memory:memory/2026-05-12.md:36:52", "path": "memory/2026-05-12.md", "startLine": 36, "endLine": 52, "source": "memory", "snippet": "1. 查询 bitable 获取6条记录当前图片描述（tblCgfYDnnqwLfgH） 2. 按每道题的上下文匹配对应的标识/通知类型标签（如 Show Poster、Wanted Notice、School Notice 等） 3. 批量更新6条记录的图片描述字段，全部10个 `【Type】` 标签验证通过 4. 脚本：`scripts/fix_matchInfo_0213_0218_desc.py` - **技能更新：** 将图片描述规范（格式要求、核心规则、参考示例、常用类型标签参考表）更新到 `business_production/单元挑战/skills/unit_challenge/questions/reading/reading_info_match/SKILL.md` - **规范要点：** - 每张图片 → `图片材料文本：\\n【Type】\\nActual text` - 图片必须是真实标识/通知（非标签式） - L2 B级及以上图片文字需为完整陈述句（3-5词+） ### 刘彦江 — L1 配置表审校 + 技能沉淀（11:50 ~ 12:10） - **数据源：** 飞书多维表格「互动知识点 - 句子」→「Level 1 配置表」(`Nq3Zb258aae7SRs2QfXcqsQYnxJ` / `tblTxGpf6GQ5c7DZ`) - **ID 编码规则：** 7位 = 前2位(Season) + 中2位(Unit) + 后3位(序列号) - 例: 1214001 = L1S2(12) + U14(14) + 001", "recallCount": 2, "dailyCount": 0, "groundedCount": 0, "totalScore": 2, "maxScore": 1, "firstRecalledAt": "2026-05-13T13:40:33.965Z", "lastRecalledAt": "2026-05-13T13:40:41.646Z", "queryHashes": [ "11ea0881b126", "08b6f3142a2b" ], "recallDays": [ "2026-05-13" ], "conceptTags": [ "按每道题的上下文匹配对应的标识/通知类型标签", "图片必须是真实标识/通知", "3-5词", "查询", "bitable", "获取", "记录", "当前" ] } } }