bili-note
Turn Bilibili videos that are already registered and parsed in MindSpace, or Bilibili opus/article posts, into evidence-linked Markdown learning notes. Use whenever the user asks to 提取、提炼、总结、整理 B站/Bilibili 视频、课程、动态、图文或专栏,保存学习笔记,结合评论区补充观点,或从已解析视频中查找带时间戳的内容和关键画面。Video tasks require an authorized mediaId from the current attachment context; this skill never installs or runs its own ASR models.
npx skills add mingchen666/Reviva --skill bili-note --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Bili Note 把 B 站视频或图文内容整理成可检索、可复用、可回查证据的 Markdown 学习笔记。 视频内容统一由 MindSpace 媒体模块负责字幕、语音转录、时间轴和关键帧;本技能不下载视频音频,不安装或运行 Qwen3-ASR、Whisper、Faster Whisper、FunASR、Python/CUDA 环境或模型缓存。 ## 两条工作路线 先判断输入属于哪一类,不要混用流程。 ### 已解析视频 当前附件上下文必须提供 `mediaId`。视频 URL 或 BVID 本身不足以开始转录。 1. 用 `media_read(mediaId="<authorized mediaId>", mode="metadata")` 检查授权、解析状态、时长和可用模式。 2. 如果解析未完成、失败或没有 `mediaId`,停止内容提炼,告诉用户先在 MindSpace 中
What does the bili-note skill do?
Turn Bilibili videos that are already registered and parsed in MindSpace, or Bilibili opus/article posts, into evidence-linked Markdown learning notes. Use whenever the user asks to 提取、提炼、总结、整理 B站/Bilibili 视频、课程、动态、图文或专栏,保存学习笔记,结合评论区补充观点,或从已解析视频中查找带时间戳的内容和关键画面。Video tasks require an authorized mediaId from the current attachment context; this skill never installs or runs its own ASR models.
How do I install it?
Run `npx skills add mingchen666/Reviva --skill bili-note --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From mingchen666/Reviva, a repository with 181 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.