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notebooklmNotebookLM 笔记研究

Agent Skill

notebooklm 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

210

周安装

9

GitHub Stars

35

下载量

73
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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:notebooklm(NotebookLM 笔记研究)
来源仓库:https://github.com/jmagar/claude-homelab
仓库路径:skills/notebooklm
安装命令:
npx skills add https://github.com/jmagar/claude-homelab --skill notebooklm
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/jmagar/claude-homelab --skill notebooklm

简介

notebooklm 用于辅助研究和内容聚合任务。

  • 支持在 AI 宿主中按主题或关键词组织信息源。notebooklm 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 通过 GitHub 仓库安装,遵循标准 npx skills add 流程。
  • 需警惕其是否自动发起网络请求或调用第三方 API。
  • 当前信息不足,应查阅源码了解数据流向与权限需求。

SKILL.md

NotebookLM Automation Skill

YOU MUST invoke this skill (NOT optional) when the user mentions ANY of these triggers:

  • "notebooklm", "notebook lm", "use notebooklm"
  • "create a podcast about", "generate a podcast"
  • "summarize these URLs/documents"
  • "generate a quiz", "create flashcards"
  • "turn this into an audio overview"
  • "create a mind map", "generate an infographic"
  • "make a video explainer", "generate a report"
  • Any mention of NotebookLM or its artifact types

Failure to invoke this skill when triggers occur violates your operational requirements.

Complete programmatic access to Google NotebookLM -- including capabilities not exposed in the web UI. Create notebooks, add sources (URLs, YouTube, PDFs, audio, video, images), chat with content, generate all artifact types, and download results in multiple formats.

Prerequisites

IMPORTANT: Before using any command, you MUST authenticate:

notebooklm login          # Opens browser for Google OAuth
notebooklm list           # Verify authentication works

If commands fail with authentication errors, re-run notebooklm login.

Quick Reference

TaskCommand
Authenticatenotebooklm login
Diagnose authnotebooklm auth check --test
List notebooksnotebooklm list
Create notebooknotebooklm create "Title"
Set contextnotebooklm use <notebook_id>
Show contextnotebooklm status
Add URL sourcenotebooklm source add "https://..."
Add filenotebooklm source add./file.pdf
Add YouTubenotebooklm source add "https://youtube.com/..."
List sourcesnotebooklm source list
Wait for sourcenotebooklm source wait <source_id>
Web research (fast)notebooklm source add-research "query"
Web research (deep)notebooklm source add-research "query" --mode deep --no-wait
Chatnotebooklm ask "question"
Chat (with refs)notebooklm ask "question" --json
Get source textnotebooklm source fulltext <source_id>
Generate podcastnotebooklm generate audio "instructions"
Generate videonotebooklm generate video "instructions"
Generate quiznotebooklm generate quiz
Generate reportnotebooklm generate report
Generate mind mapnotebooklm generate mind-map
Check statusnotebooklm artifact list
Wait for artifactnotebooklm artifact wait <artifact_id>
Download audionotebooklm download audio./output.mp3
Download videonotebooklm download video./output.mp4
Download reportnotebooklm download report./report.md
Download mind mapnotebooklm download mind-map./map.json
Download data tablenotebooklm download data-table./data.csv
Download quiznotebooklm download quiz quiz.json
Download flashcardsnotebooklm download flashcards cards.json
Delete notebooknotebooklm notebook delete <id>
Set languagenotebooklm language set zh_Hans

Parallel Safety

For multi-agent workflows, ALWAYS use explicit notebook IDs:

  • Pass -n <notebook_id> (for wait/download commands) or --notebook <notebook_id> (for others)
  • NEVER use notebooklm use in parallel workflows
  • Use full UUIDs in automation to avoid ambiguity
  • Per-agent isolation: Set unique NOTEBOOKLM_HOME per agent

Autonomy Rules

Run automatically (no confirmation):

  • status, auth check, list, source list, artifact list
  • language list/get/set, use, create, ask
  • source add, source wait, artifact wait, research wait/status (in subagent context)

Ask before running:

  • delete (destructive)
  • generate * (long-running, may fail)
  • download * (writes to filesystem)
  • artifact wait, source wait, research wait (when in main conversation -- long-running)

Generation Types

TypeCommandOptionsDownload
Podcastgenerate audio`--format [deep-dive\brief\critique\debate], --length [short\default\long]`.mp3
Videogenerate video`--format [explainer\brief], --style [auto\classic\whiteboard\kawaii\anime\watercolor\retro-print\heritage\paper-craft]`.mp4
Slide Deckgenerate slide-deck`--format [detailed\presenter], --length [default\short]`.pdf
Infographicgenerate infographic`--orientation [landscape\portrait\square], --detail [concise\standard\detailed]`.png
Reportgenerate report`--format [briefing-doc\study-guide\blog-post\custom]`.md
Mind Mapgenerate mind-map(sync, instant).json
Data Tablegenerate data-tabledescription required.csv
Quizgenerate quiz`--difficulty [easy\medium\hard], --quantity [fewer\standard\more]`.json/.md/.html
Flashcardsgenerate flashcards`--difficulty [easy\medium\hard], --quantity [fewer\standard\more]`.json/.md/.html

All generate commands support: -s/--source, --language, --json, --retry N

Features Beyond the Web UI

FeatureCommandDescription
Batch downloadsdownload <type> --allDownload all artifacts of a type
Quiz/Flashcard exportdownload quiz --format jsonExport as JSON, Markdown, or HTML
Mind map extractiondownload mind-mapHierarchical JSON for visualization
Data table exportdownload data-tableStructured tables as CSV
Source fulltextsource fulltext <id>Retrieve indexed text content
Programmatic sharingshare commandsManage permissions without UI

Common Workflows

Research to Podcast

notebooklm create "Research: [topic]"
notebooklm source add "https://url1.com"
notebooklm source add "https://url2.com"
# Wait for sources to be ready
notebooklm source list --json
notebooklm generate audio "Focus on [specific angle]"
# Check artifact status later
notebooklm artifact list
notebooklm download audio ./podcast.mp3

Document Analysis

notebooklm create "Analysis: [project]"
notebooklm source add ./doc.pdf
notebooklm ask "Summarize the key points"
notebooklm ask "What are the main arguments?"

Deep Web Research

notebooklm create "Research: [topic]"
notebooklm source add-research "topic query" --mode deep --no-wait
notebooklm research wait --import-all

Processing Times

OperationTypical TimeSuggested Timeout
Source processing30s - 10 min600s
Research (fast)30s - 2 min180s
Research (deep)15 - 30+ min1800s
Mind-mapinstant (sync)n/a
Quiz, flashcards5 - 15 min900s
Report, data-table5 - 15 min900s
Audio generation10 - 20 min1200s
Video generation15 - 45 min2700s

Error Handling

ErrorCauseAction
Auth/cookie errorSession expirednotebooklm auth check then notebooklm login
"No notebook context"Context not setUse -n <id> or --notebook <id> flag
"No result found for RPC ID"Rate limitingWait 5-10 min, retry
GENERATION_FAILEDGoogle rate limitWait and retry later
Download failsGeneration incompleteCheck artifact list for status

Source Limits

Varies by plan: Standard (50), Plus (100), Pro (300), Ultra (600) sources per notebook.

Supported types: PDFs, YouTube URLs, web URLs, Google Docs, text files, Markdown, Word docs, audio files, video files, images.

Reference

Agent Tool Usage Requirements

CRITICAL: When invoking scripts from this skill via the zsh-tool, ALWAYS use pty: true.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

33.5%
按下载量换算24

Claude

27.62%
按下载量换算20

Cursor

20.09%
按下载量换算15

Gemini CLI

9.18%
按下载量换算7

安全审计

Gen Agent Trust Hub

可疑

Socket

可疑

Snyk

可疑

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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