Extract metadata and transcripts from public YouTube videos for downstream analysis.
npx skills add https://github.com/bohachu/silicon-valley-flow --skill youtube
Please help me install this Agent Skill. Skill: YouTube 內容擷取技能 Source: https://github.com/bohachu/silicon-valley-flow/tree/main/.claude/skills/YouTube內容擷取技能 Command: npx skills add https://github.com/bohachu/silicon-valley-flow --skill youtube
YouTube 影片內容往往包含豐富的資訊與論點，但手動提取、整理與摘要耗時且易遺漏重點。本 Skill 自動擷取影片標題、描述、字幕，以及元資料，並可進一步整合成簡報或內容。
使用 YouTube URL 執行擷取，即可取得影片元資料與字幕，必要時再將結果交給其他技能生成簡報。
High-intent search queries and answers about installing and using this skill.
This Skill extracts complete transcripts and metadata (title, description, author, duration, view count, publish date) from public YouTube videos using @distube/ytdl-core for metadata and @danielxceron/youtube-transcript for subtitles, enabling downstream summarization and content analysis without manual copying.
Yes. This Skill retrieves full video transcripts and metadata, which you can pipe to downstream Skills for automatic summarization and slide generation, eliminating manual content extraction and enabling rapid content repurposing workflows.
You need Node.js 18+, network access to reach YouTube, and the dependencies @distube/ytdl-core and @danielxceron/youtube-transcript installed. The Skill works on public YouTube videos and outputs metadata and transcripts in JSON format when the --json flag is used.
Automated transcript extraction via @danielxceron/youtube-transcript retrieves subtitles and captions instantly at scale, whereas manual transcription is time-intensive and error-prone; this Skill automates the retrieval to focus your effort on analysis and summarization instead.
The Skill still extracts metadata (title, description, author, duration, view count, publish date) even when subtitles are unavailable. If no transcript exists, you receive the metadata alone; availability depends on whether the video owner provided captions or auto-generated subtitles.
Yes. Use the --json flag to output extracted metadata and transcripts in JSON format, enabling seamless integration with downstream analysis tools, summarization Skills, or presentation-generation workflows.
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