Feishu Interview Minutes Vp

Feishu Interview Minutes

Purpose

Turn Feishu interview materials into a structured Chinese Markdown report focused on interviewer questions, follow-ups, challenges, boundary checks, and coaching directions.

Do not summarize the candidate's answers unless needed to understand why a follow-up was asked. Do not keep raw transcript text in the final report unless the user explicitly requests it.

Workflow

1. Check user authorization with lark-cli auth status --verify. Do not create an authorization link unless there is a clear missing_scope or expired user token.
2. Identify the source type: /docx/, /wiki/, /minutes/, transcript file, or pasted text.
3. For Docx/Wiki intelligent notes, fetch Markdown with:

``powershell lark-cli docs +fetch --api-version v2 --doc "" --as user --doc-format markdown --json ``

1. Parse the final 相关链接 section with scripts/extract_feishu_links.py. Intelligent notes often include:

• 妙记: original recording/minutes.
• 文字记录: transcript Docx.

1. Prefer sources in this order:

• 文字记录 transcript Docx when accessible.
• native Minutes transcript export.
• lark-cli vc +notes transcript artifact.
• intelligent-note body.
• pasted transcript text.

1. Record inaccessible related sources instead of pretending they were used. permission_denied means the current user lacks document/minute access; do not repeatedly reauthorize.
2. Run completeness checks before analysis: duration, character count, timestamp span, speaker turns, and large gaps. If a long recording yields only a few hundred characters, mark the report incomplete.
3. Build a question-chain prompt with scripts/build_interview_prompt.py when a transcript file is available, then produce the final report from that prompt.
4. Validate the Markdown with scripts/validate_interview_report.py before replying.
5. On Windows, verify Chinese output with explicit UTF-8 before deciding a generated file is corrupted:

``powershell Get-Content -LiteralPath "" -Encoding UTF8 -TotalCount 40 ``

Default PowerShell rendering can show mojibake for a valid UTF-8 Markdown file.

References

• Read references/lark-cli-minutes-notes.md when configuring lark-cli, handling scopes, or routing Docx/Minutes/VC commands.
• Read references/interview-question-chain-format.md before writing the final report or repairing output format.

Minutes Commands

For a /minutes/ URL, fetch metadata:

lark-cli api GET /open-apis/minutes/v1/minutes/ --as user --json

Export native transcript:

'{"need_speaker":true,"need_timestamp":true,"file_format":"txt"}' |
  lark-cli api GET /open-apis/minutes/v1/minutes//transcript --as user --params - --output "minutes\\native_transcript.txt" --json

Read VC artifacts as fallback:

lark-cli vc +notes --minute-tokens  --as user --overwrite --json

--output must be a relative path under the current directory for lark-cli; cd to the target directory first if needed.

Metadata Rules

Extract:

• candidate: candidate/person name from title or metadata, not the operator name.
• date: event date from the note/transcript, not necessarily Docx revision time.
• event_time: full time range when available.
• company: real company if known; otherwise use 面试 for coaching/interview materials.
• position: role from title or body.
• related_source_status: what was accessible, denied, or used as fallback.

Feishu Docx APIs may return title and revision but not true creation time. Prefer explicit body text such as 录音时间：2026年6月6日 14:11 - 14:34.

If a source title contains a real person name, use that name as candidate and filename prefix. Do not fall back to a default operator name such as VectorPeak unless the user explicitly requests it.

If a related transcript Docx is inaccessible but native Minutes transcript export is accessible, use the native transcript as the main source and record the denied Docx in related_source_status.

Output Rules

Default filename:

姓名_日期_公司_岗位.md

Frontmatter:

---
source: ""
source_type: "feishu-docx-ai-minutes"
date: "YYYY-MM-DD"
event_time: ""
company: "面试"
position: ""
candidate: ""
duration: "HH:MM:SS"
feishu_title: ""
related_minutes: ""
related_transcript_doc: ""
source_priority: "优先读取文字记录 Docx；其次读取妙记原生逐字稿；最后使用智能纪要正文。"
related_source_status: ""
tags:
  - interview
  - feishu
  - question-chain
type: "interview-question-chain"
---

Allowed source_type values:

• feishu-docx-ai-minutes
• feishu-minutes
• transcript-doc
• pasted

Body:

# 日期：公司/岗位/主题

## 一、考察主题
1. **主问题：** ...
   - **追问1：** ...
   - **追问2：** ...

Do Not

• Do not regenerate auth links after one valid device-flow link has been issued; wait for the user unless it expires.
• Do not treat permission_denied as a scope problem.
• Do not invent questions from pure evaluations.
• Do not publish private Feishu tokens, local absolute paths, or raw transcripts in public docs.

Git Handoff

When the user asks to push a generated interview report:

• Push the report repository, not this skill repository, unless the skill files themselves changed.
• Stage only the intended Markdown file. Do not stage the whole output directory when it contains unrelated interview files.
• Confirm the staged scope with:

``powershell git diff --cached --name-only git diff --cached --stat ``

• Large wiki worktrees may contain unrelated modified, deleted, and untracked files. Leave them untouched.
• If .git/index.lock reports permission denied but no lock file exists, treat it as a sandbox/filesystem permission issue and retry the Git operation with normal user privileges. Do not delete lock files unless a stale lock is actually present and no Git process is running.

Sync Rule

????? skill ???????????? VectorPeak/vectorpeak-agent-skills?????????????

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: VectorPeak
• Source: VectorPeak/vectorpeak-agent-skills
• License: Apache-2.0

Install and usage instructions live in the source repository linked above.