daily backup 2026-04-10 08:00:06

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Yui Assistant 2026-04-10 08:00:06 +08:00
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{"record_doc_id": "KRRXducmGoFtonxBs0Pcmu4anch", "record_doc_url": "https://makee-interactive.feishu.cn/docx/KRRXducmGoFtonxBs0Pcmu4anch", "target_group_name": "MAKEE Interactive全员群", "update_rule": "每次扫描新成员列表后与文档中记录的user_id列表对比生成新增/退出人员名单,然后全量覆盖更新文档中的成员表格和总人数"}

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# MAKEE Interactive群成员列表 2026-04-09
总人数59人
成员列表:
1. 刘庆逊 (ou_fc1c478b4f1e157bcce33fd1ca167944)
2. 刘彦江 (ou_97bbd192eb7b92973169f4063645ab4c)
3. 胡晓阳 (ou_197424ec8603b9d94c6dd240feb97e47)
4. 张钟月 (ou_ebe6d87e244461becea583c04f0b6270)
5. 黄挥伟 (ou_2871287b1996d5b103ec64e4b7473350)
6. 俞欣宜 (ou_fefd298c7124c7d8bb0f2186577a74ec)
7. 崔竞月 (ou_ade6458cb08775f1c7c53964478da20e)
8. 李玉 (ou_92127a3f33b1d4aaac4979a101735ff9)
9. 李雷 (ou_256402dfebdb4fbab8cc2767479740fa)
10. 李若松 (ou_7c623036b45fe81f372b032da664a4fe)
11. 范威 (ou_1f8582ec7191407622196d330c83ae5e)
12. 李文俊 (ou_3a01607b6306610f3dad713402dca8d4)
13. 杨振宇 (ou_d2fcdbffefe4bd3ea85c370d29bb022c)
14. 王计 (ou_373c152e5c3c2240d82424b49b63332a)
15. 胡陈辰 (ou_b202b75dc0bb2d784c1439ba33583778)
16. 吴敬兴 (ou_b6b0f0830743a8ae28e9b0c250a6e9d6)
17. 庞鸿潇 (ou_54ccf64fd2dfb3b6612995567c654361)
18. 毋益飞 (ou_3e2cc9267f5cb095896687b0dbe53f65)
19. 江涛 (ou_378fc733b1f92e4102f7ddc0e08e7fed)
20. 李承龙 (ou_ce1a55c9d2def2323363af20d4307bfb)
21. 梁晨 (ou_b6835a701ef8cf45165c1a785b9a561e)
22. 王增礼 (ou_c04eb2f3d4ae893d0ba7a93f0067294c)
23. 张骜 (ou_aa0e726a8c2dafb8ebb496ddbeff3f21)
24. 魏亭亭 (ou_8864b8916e71ea03ed86ea2fde793501)
25. 张沄菥 (ou_ef4ddd822b242a1c9f241c758b223760)
26. 俞凯歌 (ou_8d6a7a1188f715a182aec75961d33b0c)
27. 曲慧萌 (ou_e42531e4f84fb84194989056c15fa2dd)
28. 何彬君 (ou_6ecb64e1b28deaf182ebfd4077201322)
29. 李应瑛 (ou_45a06629e6cc5a2b0bbdafffecc75000)
30. 王虹茗 (ou_91ca97274c13a2a64621355ec5a3df67)
31. 安君仪 (ou_71f93a5c4d5e914a3c188a820868aa44)
32. 童瑶 (ou_66aa92eb3829d0943fcdbbc33a15b17b)
33. 王祺 (ou_536370d55b2e27940bc81fa175a2bab5)
34. 王欢 (ou_bc6d4219a388789cfa766c72c470bbb7)
35. 张昆鹏 (ou_978d9e5c3ee53e6b8a9b68d37cad545f)
36. 宋莉 (ou_ce4292cbd018d171000790ded6e6197a)
37. 武钰涵 (ou_c76906708e463f08a8ed147016aeba70)
38. 孙时敏 (ou_c5f4f91fd6e83a0493a567905e77abde)
39. 张路 (ou_05f026917d115bf43f5b8d581fcbd7d3)
40. 遇庭翰 (ou_5cb1caf045ef930fe4f025e26f1d3eff)
41. 林逸瀚 (ou_70f779990ca8a98095ef8906eb444051)
42. 王胤鑫 (ou_803753cc028cc69bac97586fe2dea8ad)
43. 李丹 (ou_92792ceb9bab57c991c8e0d0e49c5411)
44. 朱源 (ou_0af0512b645a9cd2511fe4c09ce2b20b)
45. 梁音 (ou_657580c2126becc2ae8ef39089b9478e)
46. 刘亚伟 (ou_0cbc5c6808f4b9c0dda3ea92b23c4aed)
47. 王珞 (ou_631b96b178a56c72b098936ee31575c4)
48. 刘兴冉 (ou_8356fd0bc4f0756e1ba6db5db77c3ea8)
49. 郭少甫 (ou_9121d8f214d9cd5427fd7e1447b19785)
50. 傅硕 (ou_b0e158b814ca874110dc8f931062a4e9)
51. 徐思清 (ou_760f21cbd2842bad97a523cc319ab5b8)
52. Kala (ou_d2af2192c0f3d404f729c4e9b496b7f5)
53. 姜小龙 (ou_e286f90e5e6835c16c1f01c87def550b)
54. 许悦 (ou_41be03f143cd6e069fcba919aaa0d257)
55. 刘新玉 (ou_008b2789ef15255343d28ab33f7331ba)
56. 布雪松 (ou_6a27f045f9fdc4ce0fa352bc816bc3dd)
57. 章铭暄 (ou_e27df5a1e5a95c2ecc394e352085a7f4)
58. 吴迪 (ou_424f0ab7da4314087d9379451ea97abb)
59. 陈诗雨 (ou_79c2a57056f168044af8ea3096afa99d)

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---
name: interview-assistant
description: 算法岗招聘面试辅助工具自动解析简历PDF、分析候选人背景并生成定制化面试问题。重点考察候选人逻辑思维能力、方法论沉淀、对新AI技术的关注和理解。当以下情况时使用此Skill(1) 用户发送简历PDF并要求分析/生成面试问题 (2) 用户提到「面试」「简历分析」「招聘提问」等相关关键词 (3) 需要针对候选人学历、专业、项目背景定制面试考察点时使用
---
# 面试辅助工具使用指南
## 核心目标
作为算法负责人的招聘辅助工具,重点考察候选人三个核心维度:
1. **逻辑思维能力**:解决问题的思路清晰度、推导合理性
2. **方法论沉淀**:做项目/解决问题的通用方法、经验总结能力
3. **AI技术认知**对前沿AI技术的关注程度、理解深度、实际应用经验
## 工作流程
1. **文档解析**当用户发送简历PDF文件时优先调用 `scripts/parse_resume.py` 脚本使用mineru工具解析PDF内容得到结构化的简历文本
2. **简历分析**:梳理候选人的核心背景:
- 学历、专业、在校经历相关亮点
- 工作/项目经历的核心职责、技术栈、成果产出
- 技能栈中AI相关技术的掌握情况、项目中AI技术的应用
- 个人博客、开源贡献、技术文章等额外加分项
3. **生成面试问题**结合简历背景生成三类定制化问题每类至少3个
- **基础能力类**:结合学历、专业、基础知识背景提问,重点考察逻辑推导能力
- **项目深挖类**:针对简历中提到的每个重点项目,提问项目背景、难点、解决思路、方法论沉淀
- **技术认知类**针对候选人提到的AI技术/行业趋势,提问理解深度、应用场景、未来趋势判断
## 提问注意事项
- 避免提问死记硬背的知识点,优先提问开放式问题考察思维过程
- 针对项目经历重点问「为什么这么做」「有没有更好的方案」「学到了什么方法论」
- 针对AI技术要问实际应用经验、遇到的问题、对技术优缺点的理解而不是单纯的概念背诵
## 输出格式
```
### 简历核心信息摘要
- 基本信息:姓名、学历、专业、工作年限
- 核心亮点3-5个简历中最突出的优势
- 待考察重点3-5个需要重点确认的疑点/考察点
### 面试问题列表
#### 基础能力类
1. xxx
2. xxx
3. xxx
#### 项目深挖类
1. xxx针对项目A
2. xxx针对项目B
3. xxx针对项目C
#### 技术认知类
1. xxx
2. xxx
3. xxx
```

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#!/usr/bin/env python3
import subprocess
import sys
import os
def parse_resume(pdf_path):
"""
使用mineru解析PDF简历返回markdown格式内容
"""
if not os.path.exists(pdf_path):
return f"错误:文件 {pdf_path} 不存在"
# 调用mineru解析PDF
try:
result = subprocess.run(
["mineru", "parse", pdf_path, "--format", "markdown"],
capture_output=True,
text=True,
check=True
)
return result.stdout
except subprocess.CalledProcessError as e:
return f"解析失败:{e.stderr}"
except FileNotFoundError:
return "错误未找到mineru命令请先安装mineru工具"
if __name__ == "__main__":
if len(sys.argv) != 2:
print("用法python parse_resume.py <简历PDF路径>")
sys.exit(1)
pdf_path = sys.argv[1]
content = parse_resume(pdf_path)
print(content)

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"question": "US forces enter Iran by April 30?", "question": "US forces enter Iran by April 30?",
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"timestamp": "2026-04-08T08:00:40.856578" "timestamp": "2026-04-09T08:00:53.275736"
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"question": "Will FC Bayern M\u00fcnchen win on 2026-04-07?", "question": "Will Paris Saint-Germain FC win on 2026-04-08?",
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},
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} }
} }