技能 notebooklm
📚
手動整理研究筆記和產生摘要需要花費大量時間。此技能連接至 Google NotebookLM API，可建立來源、產生音訊概覽並以程式化方式管理筆記本。
支持: Claude Codex Code(CC)
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下载技能 ZIP
2
在 Claude 中上传
前往 设置 → 功能 → 技能 → 上传技能
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开启并开始使用
测试它
正在使用“notebooklm”。 Create a source from https://example.com/article about AI trends
预期结果:
- Source created successfully with ID: src_abc123
- Title: AI Trends 2025
- Type: URL
- Status: Processing
- Added to notebook: Research Collection
正在使用“notebooklm”。 Generate audio overview for my research notebook
预期结果:
- Audio generation started
- Estimated completion: 5-7 minutes
- Processing 12 sources totaling 45,000 words
- You will receive a download link when complete
正在使用“notebooklm”。 List all my notebooks and their source counts
预期结果:
- Market Research Q4 - 8 sources - Created: 2025-01-15
- Product Strategy - 15 sources - Created: 2025-01-10
- Competitor Analysis - 6 sources - Created: 2025-01-08
安全审计
安全v3 • 1/17/2026
This skill contains documentation and configuration files only. The static analyzer flagged 253 patterns, primarily false positives from markdown documentation showing example API calls. All backtick patterns are markdown code formatting, not executable commands. The hardcoded URLs are legitimate Google NotebookLM API endpoints. No executable code or actual security risks were found.
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已扫描文件
880
分析行数
3
发现项
3
审计总数
风险因素
⚙️ 外部命令 (198)
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🌐 网络访问 (12)
审计者: claude 查看审计历史 →
质量评分
38
架构
100
可维护性
87
内容
23
社区
100
安全
83
规范符合性
你能构建什么
研究文獻組織
將論文和文章匯入 NotebookLM，然後產生音訊摘要以便在通勤或運動時複習。
內容研究彙編
將關於某個主題的多個來源彙總到一個筆記本中，並建立音訊概覽以識別主要主題和洞察。
市場研究綜合
將競爭對手分析文件和用戶研究編譯成帶有可查詢音訊摘要的筆記本，以便團隊共享。
试试这些提示
從 URL 建立來源
Create a NotebookLM source from this URL: https://example.com/article and add it to my research notebook.
產生音訊摘要
Generate an audio overview for notebook ID abc123 covering the main themes and key findings from all sources.
列出筆記本內容
Show me all sources in my notebook named 'Market Research Q4' and their metadata including creation dates.
查詢筆記本內容
Query my notebook abc123 for information about customer pain points mentioned across all sources and summarize findings.
最佳实践
- 將 API 憑證儲存在環境變數中，而非在提示中硬編碼
- 在下載前先檢查音訊生成狀態，避免不必要的 API 呼叫
- 將來源組織成主題筆記本，以產生更連貫的音訊摘要
避免
- 不要在新增來源後立即產生音訊概覽，請留出處理時間
- 避免在單一筆記本中從相同 URL 建立重複來源
- 不要持續輪詢音訊狀態端點，請使用適當的間隔（30 秒或更長）
常见问题
音訊生成需要多長時間？
音訊生成通常需要 3-10 分鐘，具體取決於筆記本中的內容量。請定期檢查狀態而非等待。
我可以上傳哪些檔案類型作為來源？
您可以上傳 PDF、Word 文件、文字檔案，以及新增網頁 URL。每個來源都會被處理和索引，以便進行音訊生成和查詢。
我可以自訂音訊概覽的語音或風格嗎？
音訊自訂取決於 Google NotebookLM API 的功能。此技能使用 NotebookLM 服務提供的預設設定。
如何取得 NotebookLM API 憑證？
存取 Google Cloud Console，啟用 NotebookLM API，然後建立服務帳戶憑證或 API 金鑰進行身份驗證。
筆記本或來源數量有上限嗎？
限制由 Google NotebookLM API 配額設定。請查看您的 API 方案以了解對筆記本、每個筆記本的來源數量以及 API 呼叫的特定限制。
我可以與其他使用者共享筆記本嗎？
共享功能取決於 NotebookLM API 權限。此技能管理內容，但共享由 Google 帳戶設定控制。