voice-debrief

skill
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SUMMARY

Interview debrief skill for Claude Code — transcribe recordings, organize Q&A, generate evaluation, sync to Feishu docs & bitable.

README.md

voice-debrief

面试复盘 skill for Claude Code — 上传录音或转录文本,自动转录、整理问答、生成总评,保存到本地或飞书文档。

An interview debrief skill for Claude Code — upload a recording or transcript, get automatic transcription, Q&A summary, and evaluation, saved locally or to Feishu docs.


安装 / Install

npx skills add realwooolf/voice-debrief

使用方法 / Usage

把录音文件路径发给 Claude,说「帮我整理这场面试」:

Paste the recording file path and say "帮我整理这场面试" (help me debrief this interview):

帮我整理这场面试 /Users/xxx/Desktop/面试录音.mp3

已有 PDF 转录文本也可以直接发过来,skill 会跳过转录阶段。

You can also pass an existing PDF transcript — the skill will skip transcription automatically.


前置依赖 / Prerequisites

# Apple Silicon Mac(推荐 / Recommended)
pip install mlx-whisper
brew install ffmpeg

# Other platforms
pip install openai-whisper
brew install ffmpeg      # macOS
# sudo apt install ffmpeg  # Ubuntu

功能 / Features

  • 自动转录 / Auto transcription:本地运行 Whisper,支持 .wav / .m4a / .mp3 / .mp4,不上传任何数据
  • 发言人识别 / Speaker detection:根据对话内容自动区分面试官和候选人,完整对话中分别标注
  • 多文件合并 / Multi-file merge:多段录音自动按时间排序合并
  • 三份输出 / Three outputs:完整对话、问答整理、面试总评,总评同步输出到对话框
  • 多维表格归档 / Bitable archive:每场面试自动写入飞书多维表格,记录公司、岗位、轮次和三个文档链接,首次使用自动建表
  • 多轮命名 / Multi-round naming:同公司多次面试自动追加轮次后缀,如「天气」→「天气一面」「天气二面」,历史记录不乱
  • 双路径保存 / Two save options:本地 .md 文件,或飞书文档 + 多维表格

飞书配置 / Feishu Setup(可选 / Optional)

选择保存到飞书时需要配置,选本地保存可跳过。

Only required if you choose to save to Feishu. Skip if saving locally.

首次使用时 skill 会引导完成飞书自建应用配置(约 5 分钟),之后浏览器自动完成 OAuth 授权,无需重复操作。

On first use, the skill will guide you through setting up a Feishu app (~5 min). After that, OAuth is handled automatically.


平台支持 / Platform Support

平台 / Platform 转录方式 / Engine 速度 / Speed
Apple Silicon Mac (M1–M4) mlx-whisper (GPU) 41 min audio ≈ 3–5 min
Intel Mac / Windows / Linux openai-whisper (CPU) Slower, depends on hardware

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