Bilibili Video Markdown Summarizer
Paste the following prompt into your AI chat to install this skill:
Please install @user_fe8721be/jmy001 according to https://skillhub.cn/install/skillhub.md.
About this skill
Problem
bilibili-video-md addresses a practical gap: turning Bilibili video content into reusable text. Engineers often need transcripts from technical talks, demos, or long-form video to build notes, debug AI workflows, or archive source material. This skill produces a structured Markdown summary rather than only raw transcription.
How It Works And Boundaries
The workflow resolves a BV link or b23.tv short link, retrieves the video title, and downloads the best available m4a audio stream with yt-dlp. It then runs offline multilingual speech recognition through coli and the local sensevoice model, organizes the transcript into a Markdown file named after the video title, and removes temporary audio, transcript, and segment files.
Expect platform friction: Bilibili may return HTTP 412 for direct requests, so browser-login cookies may be needed. Videos longer than 15 minutes are better processed in segments, and Windows can introduce path, wildcard, or shell differences. The skill is suitable for summarizing, archiving, and offline transcription, not for bulk downloading or circumventing platform rights.
Use Cases
- Turn Bilibili technical video speech into Markdown summaries for archiving and retrieval.
- Transcribe Bilibili tutorial audio offline while debugging AI workflows and reproducing steps.
- Generate a verbatim transcript from long video audio using local ASR before organizing notes.
- Resolve b23.tv short links and create title-named Markdown notes from video content.
Best For
- Engineers who need searchable Markdown notes from Bilibili technical videos.
- AI application developers who transcribe video speech offline with local ASR.
- Content researchers who turn b23.tv tutorials into title-named summaries.
- Automation script maintainers who handle Bilibili HTTP 412 cookie downloads.
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