用于将 YouTube 面试转录稿分析并整理为结构化中文 Markdown 笔记的 Claude Code 技能。
该技能专为 Claude Code 设计，用于处理 YouTube 面试的转录文本，并将其转化为结构化的中文 Markdown 笔记。它通过提示工程指导 AI 识别关键信息，如访谈背景、核心论点、问答亮点和总结，从而生成清晰、易于回顾的笔记。该技能支持自定义笔记风格（如简约、详细或批判性），并利用 Markdown 格式（标题、列表、引用）增强可读性。主要面向希望从大量视频内容中快速提取精华并保留中文语境理解的开发者、研究者或学习者。
npx skills add leeyongjielife-eng/YouTube-interview-skills用于将 YouTube 面试转录稿分析并整理为结构化中文 Markdown 笔记的 Claude Code 技能。
在 Claude Code 中调用该技能，提供 YouTube 面试的转录文本即可。
输入转录文本后，技能将生成类似以下格式的笔记：
# 访谈笔记：XXX
## 背景
- 嘉宾：...
- 主题：...
## 核心观点
- 观点1...
- 观点2...
## 问答亮点
- Q: ... A: ...
## 总结
- ...
可通过环境变量 SKILL_STYLE 设置笔记风格：
minimal：简约风格，仅保留关键点detailed：详细风格，包含更多上下文critical：批判性风格，包含分析性评论默认风格为 detailed。
Extract frames or short clips from videos using ffmpeg.
Summarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.
Use when testing, fixing, or extending the OpenClaw Control UI GUI with Vitest + Playwright end-to-end checks, mocked Gateway WebSocket flows, mocked dashboard runs, screenshots/videos, or agent-verifiable browser proof.
Obra superpowers agent skills.
See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio...
End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.