with one click
my-collection-skills
my-collection-skills contains 6 collected skills from hc-tec, with repository-level occupation coverage and site-owned skill detail pages.
Skills in this repository
Multi-platform favorites/bookmarks router that calls atomic skills (bilibili/zhihu/xiaohongshu) to list your favorites (folders/collections/boards) and fetch item text/transcripts for summarization. Use when the user asks "看看我收藏了哪些/最近收藏了什么", or provides a B站/知乎/小红书 link and asks what it's about.
Fetch and inspect Bilibili favorites (收藏夹/收藏内容) and video transcripts (字幕/逐字稿) using your own logged-in cookies (CookieCloud supported). Use when the user asks to查看/导出 B站收藏夹、最近收藏了哪些视频、或"这个 BV/视频讲了什么"(needs transcript).
Fetch and inspect XiaoHongShu/小红书 favorites: saved notes (收藏) + saved boards (收藏专辑/收藏夹), and extract note details (title/desc) for summarization using Playwright + your logged-in cookies (CookieCloud supported). Use when the user asks to 查看小红书收藏/收藏专辑、最近收藏了哪些笔记、或“这条笔记讲了啥”(need text).
Fetch and inspect Zhihu collections (收藏夹) and saved items, and extract full text for saved answers/articles via Zhihu web APIs (CookieCloud supported). Use when the user asks to查看知乎收藏夹、我收藏了哪些回答/文章、或"这篇回答/文章讲了什么"(need text).
Download audio tracks from video links for transcription/summarization. Docker-first (no host Python): uses yt-dlp+ffmpeg for Bilibili and Playwright extraction for Xiaohongshu note pages. Use when a platform skill needs an audio file for STT (e.g. Bilibili “No subtitles found”, Xiaohongshu video notes), or when the user asks “把这个视频音频下载下来/做逐字稿”.
Speech-to-text (逐字稿/转写) in Docker using faster-whisper (local, no API key). Use when you already have an audio file (e.g. from `media-audio-download`) and need a transcript with optional timestamps for summarization.