Interview Question Gen

---

name: interview-question-gen description: Generate a structured Feishu interview question document from a candidate's resume, then append a comprehensive evaluation after receiving the interview transcript. Use when: (1) given a resume/CV and asked to prepare interview questions, (2) given an interview transcript/recording and asked to write an evaluation or assessment, (3) asked to do both steps end-to-end. Triggers on phrases like "出面试题", "面试题集", "面试评价", "interview questions", "interview evaluation", "根据简历出题", "写面试评价".

---

Interview Question Generator & Evaluator

Two-phase workflow for WePlay activity operations (活动运营) interviews using Feishu docs.

Phase 1: Resume → Interview Question Document

Step 1: Read the Resume

If the resume is a PDF attachment, render each page as an image (/tmp/resume_p{n}.png) using PyMuPDF and read them visually:

import fitz
doc = fitz.open("/path/to/resume.pdf")
for i, page in enumerate(doc):
    page.get_pixmap(matrix=fitz.Matrix(1.5, 1.5)).save(f"/tmp/resume_p{i+1}.png")

Extract key info: work experience, skills, education, highlights.

Step 2: Read WePlay Product Context

Before generating questions, fetch the WePlay product framework doc to understand product positioning:

WePlay产品框架：https://wepie.feishu.cn/wiki/Q62TwQ3Fsi5Q8kkc0iDcINsSnno

Step 3: Generate Interview Questions

Structure the document into these sections. See references/question-template.md for the full question template and scoring rubrics.

Document sections: 1. 破冰与自我介绍 (2 questions) 2. 结合简历的深挖问题 (4–6 questions, grouped by employer) 3. 活动运营能力考察 (4 questions: scenario planning, data, cross-team collaboration) 4. 日语与本地化能力 (3 questions, tailored to Japanese market) 5. WePlay 产品体验问题 (5 questions — require candidate to pre-download WePlay) 6. 价值观与潜力考察 (4 questions including open Q&A) 7. 日本語口頭試問 (6 questions, all in Japanese — no Chinese)

Tailor questions to the specific candidate's background. Reference their actual projects, metrics, and employers by name.

Step 4: Create Feishu Document

Use feishu_bot_doc.mjs to create the document:

cat /tmp/interview_questions.md | node scripts/feishu_bot_doc.mjs create \
  --title "【AI生成】{候选人姓名} {岗位} 面试题集" \
  --stdin \
  --folder AZ3nfFtial4bHTdOFahcdcfxnub \
  --collaborator ou_8b357150cff930fca19a733461a32526

Reply with the document URL. Tell the user to send the interview transcript when ready.

---

Phase 2: Interview Transcript → Evaluation

Step 1: Read the Transcript

Accept the transcript as:

A Feishu doc link → use feishu_doc read action

A pasted text block → read directly

Step 2: Write Evaluation

Append the evaluation to the existing interview question document (not a new doc). Use feishu_doc append action on the same doc_token.

See references/evaluation-template.md for the full evaluation structure and scoring rubrics.

Evaluation structure: 1. 总体印象 (1–2 sentences, overall rating: 优秀/良好/中等/中等偏下/不建议录用) 2. 各维度评价 with ⭐ ratings (1–5 stars each): - 过往经验匹配度 - 活动策划思维 - 数据分析能力 - 产品认知与洞察 - 日本市场理解 - 表达与沟通 3. 亮点 (bullet list) 4. 主要风险 (bullet list) 5. 结论 (录用 / 待定 / 不建议录用, with reasoning)

Be specific: quote actual interview moments, not generic observations.

---

Notes

Japanese oral exam questions (Section 7) must be written entirely in Japanese — no Chinese text.

Always add 【AI生成】 prefix to document titles.

Default save folder: AZ3nfFtial4bHTdOFahcdcfxnub

Default collaborator: ou_8b357150cff930fca19a733461a32526 (吴柏庆)

If the interview transcript doc is auto-generated by Feishu (智能纪要), the bot has no write permission — append to the question doc instead.

Japanese oral exam questions (Section 7) must be written entirely in Japanese — no Chinese text.

Always add 【AI生成】 prefix to document titles.

Default save folder: AZ3nfFtial4bHTdOFahcdcfxnub

Default collaborator: ou_8b357150cff930fca19a733461a32526 (吴柏庆)

If the interview transcript doc is auto-generated by Feishu (智能纪要), the bot has no write permission — append to the question doc instead.