每日总结更新 20260528
This commit is contained in:
xiaoban
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@ -126,7 +126,7 @@ System: [...] Feishu[xiaobian] group oc_xxx | 发送者 (ou_xxx) [msg:om_xxx]
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| 目录 | 用途 | 说明 |
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|------|------|------|
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| `memory/` | 短期记忆 | 按天记录工作日志，格式 `YYYY-MM-DD.md` |
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| `business_knowledge/` | 业务知识库 | **所有业务知识统一存放于此**，包括业务术语、数据表说明、SQL 模板、数据抽取脚本等 |
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| `knowledge/` | 业务知识库 | **所有业务知识统一存放于此**，包括业务术语、数据表说明、SQL 模板、数据抽取脚本等 |
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| `scripts/` | 脚本文件 | 所有 `.py`、`.sh`、`.sql` 等脚本文件必须放在此目录 |
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| `output/` | 输出文件 | 所有生成的报表（`.xlsx`、`.csv`）、日志（`.log`）、导出文件等必须放在此目录 |
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| `skills/` | 技能定义 | 个人技能目录 |
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@ -432,3 +432,11 @@ To https://git.valavala.com/ai_member_only/ai_member_xiaoban
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5ace2cc..48953c0 master -> master
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[2026-05-26 08:10:02] 工作区备份成功：自动备份 2026-05-26 08:10:01
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[2026-05-27 08:10:01] 开始备份工作区...
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[master 2234f3e] 自动备份 2026-05-27 08:10:01
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2 files changed, 1 insertion(+), 3 deletions(-)
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delete mode 100644 tmp_daily_summary.md
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remote: . Processing 1 references
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remote: Processed 1 references in total
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To https://git.valavala.com/ai_member_only/ai_member_xiaoban
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48953c0..2234f3e master -> master
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[2026-05-27 08:10:02] 工作区备份成功：自动备份 2026-05-27 08:10:01
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{"type":"memory.recall.recorded","timestamp":"2026-05-25T05:47:41.388Z","query":"账号信息查询 account_id 14157 数据库","resultCount":4,"results":[{"path":"memory/2026-05-24.md","startLine":46,"endLine":71,"score":1},{"path":"memory/2026-05-24.md","startLine":85,"endLine":110,"score":1},{"path":"memory/2026-05-24.md","startLine":23,"endLine":52,"score":1},{"path":"memory/2026-05-24.md","startLine":1,"endLine":30,"score":1}]}
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{"type":"memory.recall.recorded","timestamp":"2026-05-26T06:16:58.547Z","query":"账号 account 查询 query 数据库 23765","resultCount":4,"results":[{"path":"memory/2026-05-25.md","startLine":1,"endLine":26,"score":1},{"path":"memory/2026-05-24.md","startLine":46,"endLine":71,"score":1},{"path":"memory/2026-05-24.md","startLine":85,"endLine":110,"score":1},{"path":"memory/2026-05-24.md","startLine":23,"endLine":52,"score":1}]}
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{"type":"memory.recall.recorded","timestamp":"2026-05-27T11:20:45.799Z","query":"昆鹏 新skill 发布 技能","resultCount":1,"results":[{"path":"memory/2026-05-25.md","startLine":1,"endLine":26,"score":1}]}
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{"type":"memory.recall.recorded","timestamp":"2026-05-27T13:30:03.421Z","query":"vala_knowledgebase 瓦拉星球 游戏剧情 世界观 角色","resultCount":3,"results":[{"path":"memory/2026-05-24.md","startLine":106,"endLine":126,"score":1},{"path":"memory/2026-05-24.md","startLine":85,"endLine":110,"score":1},{"path":"memory/2026-05-24.md","startLine":1,"endLine":30,"score":1}]}
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{
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"version": 1,
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@ -9,20 +9,22 @@
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"endLine": 30,
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"source": "memory",
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"snippet": "# 2026-05-24 工作日志 ## 新建技能: studytime-analysis [刘庆逊提出] 创建学习时间分析技能，分析角色完课记录的规律。 ### 技能结构 - `skills/studytime-analysis/SKILL.md` — 技能定义 - `skills/studytime-analysis/scripts/studytime_analysis.py` — Python 分析脚本 ### 分析维度 1. **一周时间分布**（排除寒暑假1-2月、7-8月）：周一~周日各天完课数、时段分布（上午/中午/下午/晚上）、周末是否上课 2. **跨周学习趋势**（包含寒暑假全部数据）：总周数、周均完课数、连续性、中断周检测、前后半段趋势对比、突增/骤降检测 3. **完课记录明细表**（全部数据）：日期/时间/星期/时段/级别/课程ID ### 数据源 - PostgreSQL Online（vala 库） - 核心表：`user_chapter_play_record_0~7`（8张分表，无 `bi_` 前缀） - 筛选：`play_status = 1` - 注意：表在 PostgreSQL 而非 MySQL，表名无 `bi_` 前缀 ### 寒暑假规则 - 一周分布分析时排除 1-2 月（寒假）和 7-8 月（暑假）—— 因为寒暑假作息与平时差异大，混在一起会干扰时段分析 - 跨周趋势和明细表包含全部数据（含寒暑假） - 报告中区分标注数据范围 ### 触发方式 用户说「学习时间分析 [角色ID]」即可触发 ### 已测试角色",
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],
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"conceptTags": [
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"studytime-analysis",
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@ -172,20 +174,22 @@
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"endLine": 110,
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"source": "memory",
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"snippet": "- `skills/studytime-analysis/scripts/studytime_analysis.py` — 重写 `fetch_chapter_info_map()`，新增全局 unit_index 计算；HTML 模板更新为 Level/Unit/Lesson 三列 - 已为角色 32009（zyl）重新生成 HTML 并发送 - 已同步 Git + SkillHub ## 新建技能: studycourse-analysis (2026-05-24) [刘庆逊提出] 创建角色上课情况分析技能，从四维度分析角色学习数据。 ### 技能结构 - `skills/studycourse-analysis/SKILL.md` — 技能定义 - `skills/studycourse-analysis/scripts/studycourse_analysis.py` — Python 分析脚本 ### 四步分析 1. **基础信息**：角色姓名/年龄/账号ID/手机号后4位/注册时间/购买渠道/设备/首末次完课 2. **完课耗时**：平均值/中位数、异常检测(<10min / >20min)、前后半段趋势 3. **中互动正确率**：Perfect/Good/Oops/Pass/Failed 占比和趋势 4. **知识巩固**：完成率、正确率得分分布 ### 数据源 | 类型 | 库 | 表 | 用途 | |------|-----|-----|------| | MySQL vala_user | vala_app_character | 角色信息、pu",
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"conceptTags": [
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"fetch-chapter-info-map",
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@ -205,18 +209,20 @@
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"endLine": 26,
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"source": "memory",
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"snippet": "# 2026-05-25 工作日志 ## user-info 技能重写 [刘庆逊提出] 修复 `user-info` 技能，使其匹配线上实际数据库结构。 ### 问题 旧脚本引用的表（`bi_vala_app_account`、`account_login`、`account_detail_info`、`bi_vala_order`、`bi_level_unit_lesson`）在线上数据库均不存在。 ### 修复内容 - **scripts/query_user_info.py** 完整重写： - 表名改为实际线上表：`vala_user.vala_app_account`、`vala_user.vala_app_character`、`vala_order.vala_seasonal_ticket`、PG `user_chapter_play_record_0~7` - 手机号查询通过 `tel LIKE '前缀%后缀'` 脱敏匹配 - Chapter → Level/Unit/Lesson 映射复用 studytime-analysis 的 `fetch_chapter_info_map()` 逻辑 - 订单数据改用 `vala_seasonal_ticket`（赛季通票），因线上无标准订单表 - 设备/地域信息标注为暂不可用（线上无对应表） - PG 时区处理：`created_at` 为 tz-aware，统一转 naive 比较 - **SKILL.md** 更新至 v2.0.0，补充数据覆盖说明 - **references/dat",
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"conceptTags": [
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"user-info",
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@ -228,6 +234,37 @@
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"scripts/query-user-info.py",
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"vala-user.vala-app-account"
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]
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},
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"source": "memory",
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"snippet": "| MySQL vala_user | vala_app_character | 角色信息、purchase_season_package | | MySQL vala_user | vala_app_account | 下载渠道、手机号、注册时间 | | MySQL vala | vala_game_chapter + season_package | 章节映射 | | PostgreSQL vala | user_course_detail | 课程激活/到期时间 | | PostgreSQL vala | user_login_app_info | 设备信息 | | PostgreSQL vala | user_chapter_play_record_0~7 | 完课记录(play_status=1) | | PostgreSQL vala | user_component_play_record_0~7 | 中互动记录(play_result) | | PostgreSQL vala | user_chapter_settlement_data_0~7 | 巩固数据(settlement_data JSON) | ### 关键发现 - **设备信息**来自 `user_login_app_info`（device_name/model/type/os_info/city） - **购买渠道**来自 `vala_app_account.download_channel` + `key_from` - **巩固判断**：`settlement_data.practiceS",
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"vala-user",
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"vala-app-character",
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"purchase-season-package",
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"vala-app-account",
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"vala-game-chapter",
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"season-package",
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"user-course-detail",
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"课程激活/到期时间"
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]
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}
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}
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}
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# 2026-05-27 工作日志
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## 小红书渠道财务预测模型（陈逸鸫）
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- [陈逸鸫] 需要搭建小红书渠道 2026年6-12月的财务预测模型
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- 关键参数：客单价 ¥2,500、退费率 3%、销售佣金 10%、月进量基准 1750 条、转化率基准 10%、CPL 275 元、无固定成本
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- K12 季节性系数自行设定（7月/8月/12月为大月）
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- 用 sonnet 模型搭框架，后续用 opus 或 deepseek 做深度分析
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- **结论**：当前参数下单元经济亏损（CAC ¥2,750 > 单客净收入 ¥2,182.5），盈亏平衡需 CVR≥12.6% 或 ASP≥¥3,150 或 CPL≤¥218
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- **待确认**：用户需提供可调整的参数方向
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## 瓦拉星球漫画化方案（陈逸鸫）
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- [陈逸鸫] 希望将瓦拉星球游戏剧情做成日漫风连载漫画，发布到小红书，用于拓展品牌人群资产，引导英语课程试听
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- 已探索飞书 VALA Academy wiki space（space_id: `7487521512283799556`），获取了完整游戏世界观：
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- 四大势力：地球地下城、艾斯环空间站、万得港海盗巢、Vala 新大陆
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- 核心角色：Fio（15 岁女海盗王）、Nook 鳄鱼（思维芯片联合发明人，被背叛）、Lauren（主角母亲，失踪/牺牲）、Pemberton（反派/校长）、主角（开拓者后代）
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- 经过多次迭代优化开场方案：
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- ❌ 第1版：芯片悬念开场（信息过载，陌生信息太多）
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- ❌ 第2版：《妈妈失踪的那天》慢铺垫（信息太慢，冲突不够）
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- ✅ 第3版：Nook 背叛发布会、Fio 通缉令、Pemberton 杀母档案 三个冷开场
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- ✅ **最终版**：《万得港》6格——妈妈失踪十年 → 收到 F 的加密邮件线索 → 冲向万得港 → 新消息揭示"她不是偶然在那里的"
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- 已规划 12 话三幕结构（HOOK → BUILD → CONVERT），转化节点设计为：主角收到妈妈英文语音 → Nook 教英语 → 扫码听课解锁第 4 个词
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- 已生成第 1 话封面图（日漫画风，2K 分辨率，3:4 竖版）
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- **待定**：下一步是生成内容页 / 角色定妆照 / 小红书发布文案
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## 工具/技能发现
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- 确认昆鹏发布的 `multi-model-assistant` 和 `gpt-image-2-generator` 两个技能可用
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- `multi-model-assistant` 支持调用多个模型（sonnet/opus/deepseek/gpt5.4 等），位于 `/root/.openclaw/skills/multi-model-assistant/`
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- `gpt-image-2-generator` 通过 FunCloud API 异步生成图片，位于 `/root/.openclaw/skills/gpt-image-2-generator/`
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- 语音转写使用 DashScope qwen-audio-turbo API，Key 为 `DASHSCOPE_API_KEY`
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=== 每日总结 20260528 ===
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## 昨日关键进展
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- 经过多次迭代优化开场方案：
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