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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.

Manus에서 실행

개요

설치 명령

npx skills add https://github.com/azuma520/youtube-to-notebooklm --skill anything-to-notebooklm

이 명령을 Claude Code에 복사하여 붙여넣어 스킬을 설치하세요

출처

azuma520/youtube-to-notebooklm

스타36

포크7

업데이트2026년 3월 8일 09:03

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5 개 파일

SKILL.md

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이 저장소의 다른 Skills

같은 저장소

whisper-transcribe

azuma520/youtube-to-notebooklm

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.

2026-03-0736

yt-search

azuma520/youtube-to-notebooklm

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".

2026-03-0736

출처

azuma520

azuma520/youtube-to-notebooklm

GitHub 저장소 열기 Creator 저장소 보기

설치 명령

다운로드

Manus에서 실행

유용한 대상SOC

소프트웨어 개발자컴퓨터 및 수학직15-1252L4

웹 개발자L4

name

anything-to-notebooklm

description

多源內容 → NotebookLM 處理器

從多種來源取得內容，上傳到 NotebookLM 生成各類成品；或瀏覽、查詢、提問既有 notebook。

依賴：notebooklm-py（CLI v0.3.3+）、markitdown（僅限 PPTX/XLSX/EPUB 轉換）。首次使用須 notebooklm login。

Decision Tree

用戶請求
├── 想找/瀏覽/查詢/下載既有 notebook 或成品？
│   └── Workflow B：瀏覽 → 閱讀 → 提問
├── 有內容要上傳 / 要生成新東西？
│   └── Workflow A：上傳 → 生成 → 下載
└── 不確定 → 詢問用戶

Workflow A：上傳 → 生成 → 下載

Step 1：識別內容源

輸入特徵	處理方式
YouTube URL	`source add "URL"` → `source wait <id>`
網頁 URL	`source add "URL"` → `source wait <id>`
Google Drive 文件	`source add-drive <file_id> "title"`
本地 `.pdf/.docx/.md/.csv/.txt`	`source add "filepath"` → `source wait <id>`
本地 `.pptx/.xlsx/.epub`	`markitdown "file" -o "$TEMP/converted.md"` → `source add`
本地圖片/音訊	`source add "filepath"` → `source wait <id>`（自動 OCR/轉錄）
純關鍵詞	`source add-research "query"`（見下方）

Step 2：建立 notebook + 添加來源

notebooklm create "筆記本標題"
notebooklm source add "來源"          # 上傳來源
notebooklm source wait <source_id>    # 等待處理完成

一個 notebook 最多 50 個 source，全部 source wait 完再生成
上傳前確認：告知用戶即將建立的 notebook 名稱，確認後再執行

Step 3：生成

預設行為是非阻塞（除 mind-map 外）。互動場景加 --wait 等待完成。

用戶意圖	指令
播客/音頻	`generate audio --wait`
PPT/簡報	`generate slide-deck --wait`
思維導圖	`generate mind-map`（同步，自動等待）
Quiz/出題	`generate quiz --wait`
報告/總結	`generate report --wait`
視頻	`generate video --wait`
信息圖	`generate infographic --wait`
閃卡	`generate flashcards --wait`
數據表	`generate data-table "description" --wait`

用戶沒指定生成什麼 → 只上傳不生成，等後續指令。

各類型的 format/style/length 參數 → 見 references/generate-options.md。

Step 4：下載

notebooklm download <type> ./output.<ext>

常用選項：--latest（最新成品）、--format <fmt>（輸出格式）、--all（全部下載）。

完整下載選項 → 見 references/generate-options.md。

AI 研究搜尋

用戶給的是純關鍵詞時，用 NotebookLM 內建研究功能：

notebooklm source add-research "query" --mode deep --from web --import-all
notebooklm research wait    # 等待研究完成

--mode fast（快速）/ deep（深度）
--from web（網路）/ drive（Google Drive）

Workflow B：瀏覽 → 閱讀 → 提問

瀏覽與切換

notebooklm list                              # 列出所有 notebook
notebooklm use <id>                          # 切換（支援部分 ID 匹配）
notebooklm status                            # 當前上下文
notebooklm rename "新名稱"                   # 重新命名

來源管理

notebooklm source list                       # 來源清單
notebooklm source fulltext <id>              # 完整索引文本
notebooklm source guide <id>                 # AI 摘要

提問與對話

notebooklm ask "問題"                        # 對整個 notebook 提問
notebooklm ask "問題" -s <source_id>         # 指定來源提問
notebooklm ask "問題" -c <conversation_id>   # 繼續既有對話
notebooklm ask "問題" --save-as-note --note-title "標題"  # 答案存為筆記

歷史與成品

notebooklm history                           # 對話紀錄
notebooklm summary                           # notebook 摘要
notebooklm artifact list                     # 已生成成品清單
notebooklm note list                         # 筆記清單

notebooklm share public --enable             # 公開分享
notebooklm share add user@email.com          # 邀請特定用戶

NEVER List

NEVER use source add --wait — this flag does not exist. Use source wait <id> instead
NEVER assume generate blocks — it is async by default (except mind-map). Add --wait for interactive use
NEVER use --style retro — the correct value is retro-print
NEVER use 1-based slide index — revise-slide --slide 0 = first slide (zero-based)
NEVER create a notebook without confirming the name with the user first
NEVER assume audio downloads are .wav — the actual format is .mp4 container
NEVER poll artifact status in the main conversation for extended periods — use a subagent or inform the user of estimated wait time

整合銜接

yt-search：YouTube URL 直接 source add；已有字幕文字檔也可直接 source add
markitdown：僅用於 PPTX/XLSX/EPUB（NotebookLM 不直接支援的格式）。PDF/DOCX/MD/CSV/TXT/圖片/音訊直接 source add
Obsidian vault：讀取筆記內容後 source add 檔案路徑
crawl4ai：反爬蟲網站（X.com 等）先用 crawl4ai 抓取，再 source add 本地檔案

語言設定

notebooklm language set zh_Hant    # 繁體中文
notebooklm language set ja         # 日文

也可在個別指令加 --language zh_Hant。

暫存檔清理

生成完成、用戶確認收到輸出後，清理暫存檔：rm -f "$TEMP"/converted.md

參考資料

需要什麼	看哪裡
生成/下載參數明細	references/generate-options.md
完整工作流範例	references/examples.md
Windows 設定	references/windows-setup.md
錯誤排查	references/troubleshooting.md