azuma520
6 verified skills195 total stars
anything-to-notebooklm
Upload content to Google NotebookLM and generate podcasts, slides, mind maps, quizzes, reports, videos, and more. Also browse, search, and query existing notebooks. Supports URLs (web, YouTube), local files (PDF, DOCX, PPTX, XLSX, EPUB, Markdown, images, audio, CSV, JSON, ZIP), AI research, and Google Drive. Use when the user says: "上傳到 NotebookLM", "生成播客", "做成 PPT", "畫思維導圖", "generate podcast", "make slides", "create mind map", "upload to NotebookLM", "做成報告", "出題", "生成 Quiz", "turn this into a podcast", "summarize this as slides", "把這個做成播客", "幫我整理成報告", "ask NotebookLM", "問筆記本", "找之前的筆記本", "NotebookLM 上的", "check my notebooks", "download the podcast", "what notebooks do I have", "搜尋 notebook", "之前的 notebook", "下載播客", "瀏覽筆記本". Activate this skill whenever the user wants to push content to NotebookLM, generate outputs, browse or query existing notebooks, or download previously generated artifacts.
development35
whisper-transcribe
Transcribe audio/video to accurate subtitles using Whisper AI, with optional translation and delivery. Supports YouTube URLs and local audio/video files. Use when: (1) a YouTube video has no subtitles, (2) auto-generated captions are inaccurate, (3) the user wants high-quality transcription, (4) the user needs translated subtitles, (5) the user wants transcripts sent to email or cloud storage. Triggers: "轉錄", "語音轉文字", "Whisper", "沒有字幕", "字幕不準", "transcribe", "speech to text", "no subtitles", "bad captions", "翻譯字幕", "translate subtitles", "寄到信箱", "上傳到雲端". Make sure to use this skill whenever the user needs transcription beyond what YouTube auto-captions provide, or when yt-search reports no subtitles available.
testing35
yt-search
Search YouTube videos, get video metadata, and download subtitles/transcripts using yt-dlp. Use when the user wants to find videos, search YouTube, look up a YouTube channel, get video info, download captions, grab subtitles, or extract a transcript. Triggers include "找影片", "搜影片", "YouTube 搜尋", "抓字幕", "逐字稿", "search videos", "find videos on YouTube", "get subtitles", "video transcript", "youtube tutorial", "watch video about", "影片推薦", "有沒有影片", "教學影片". Make sure to use this skill whenever the user mentions YouTube, video search, subtitles, or transcripts — even if they don't explicitly say "yt-search".
testing35
note-structuring
自動從對話建立筆記、填 frontmatter、建立連結。觸發詞：「記一下」「幫我寫筆記」「這讓我想到」
tools30
obsidian-graph-query
Run graph queries on Obsidian vault link structure: neighbors (N hops), shortest path, connected clusters, hub notes, bridge/articulation points, enriched orphans, relationship summaries, vault-wide statistics. Supports configurable frontmatter relationship fields. Use for: knowledge graph, note relationships, graph query, link analysis, note connections, hub notes, cluster analysis, bridge notes, relationship summary, vault stats, find path between notes, analyze connections, show orphans, 筆記關係, 連結分析, 孤立筆記, 知識圖譜, 樞紐筆記, vault 統計.
testing30
vault-report
Generate comprehensive knowledge graph reports for Obsidian vaults. Combines multiple graph queries (vault-stats, hubs, bridges, orphans-rich) to produce a structured 4-module analysis report with data summary tables. Requires obsidian-graph-query skill installed. Use for: vault report, knowledge report, vault analysis, vault health, knowledge graph report, 知識圖譜報告, vault 分析.
data-ai30