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Notebooklmv1.0.0

Name: Notebooklm
Author: antonia-sz

notebooklm-py

antonia-sz

Google NotebookLM 非官方 Python API 的 OpenClaw Skill。支持内容生成（播客、视频、幻灯片、测验、思维导图等）、文档管理和研究自动化。当用户需要使用 NotebookLM 生成音频概述、视频、学习材料或管理知识库时触发。

aicontent-generationgooglelatestnotebooklmresearch

Download Package View on ClawHub

Installs (all time)

Installs (current)

Downloads

633

Stars

CreatedMar 23, 2026

UpdatedMay 1, 2026

Install & Quick Start

Install via ClawdBot CLI:

clawdbot install antonia-sz/notebooklm-py

Skill Package4 files

📋SKILL.mdmarkdown

Failed to load file.

Quality Score

B60/100

Grade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.

Market Validation7/35

· 2 installs (very low)
· 218 downloads (low demand)

Documentation20/25

· SKILL.md present
· Detailed documentation (≥3000 chars)
· Contains usage examples or trigger description
· Detailed summary

Package Completeness8/15

· skillAssets present (3 files)

Security Analysis

💙 Low Risk

UNDOCUMENTED_EXTERNALlow

Calls external URL not in known-safe list

https://example.com/article

Audited Apr 17, 2026 · audit v1.0

💡

Usage Guide

Generated Apr 4, 2026

Researchers and AcademicsContent Creators and EducatorsBusiness Analysts and Consultantsintermediate

💡 Application Scenarios

Academic Research and Paper SummarizationEducation and Academia

Researchers can upload academic papers, generate audio podcasts for deep-dive analysis, create video summaries for presentations, and produce quizzes for self-assessment. This streamlines literature review and knowledge dissemination in educational institutions.

Corporate Training and OnboardingCorporate Training and HR

Companies can automate the creation of training materials by converting internal documents into whiteboard-style videos, generating quizzes for employee assessment, and producing slide decks for onboarding sessions. This reduces manual content creation time and ensures consistency.

Market Research and Competitive AnalysisConsulting and Market Research

Business analysts can perform deep web research on market trends, generate comprehensive reports with data tables comparing competitors, and create cinematic videos for stakeholder presentations. This accelerates data synthesis and reporting in consulting or marketing firms.

Content Creation for Digital MediaMedia and Entertainment

Content creators can aggregate sources from websites and YouTube, generate news-style or cinematic videos, produce infographics for social media, and create podcasts. This enables rapid production of multimedia content for blogs, podcasts, or educational channels.

Personal Knowledge Management and LearningPersonal Productivity and Self-Education

Individuals can manage personal knowledge bases by adding PDFs, audio lectures, and web articles, then generate mind maps, flashcards, and audio overviews for self-study. This supports lifelong learning and organization of personal research projects.

💼 Business Models

Freemium SaaS for Content CreatorsSubscription-based (e.g., $10-50/month)

Offer a free tier with basic generation limits and a paid subscription for unlimited access to advanced features like cinematic videos and deep research. Revenue comes from monthly subscriptions, targeting individual creators and small businesses.

Enterprise Licensing for Corporate TrainingAnnual licensing (e.g., $5,000-20,000/year)

Provide customized enterprise packages with enhanced security, priority support, and bulk content generation for large organizations. Revenue is generated through annual licensing fees and implementation services for training departments.

API Integration and White-Label SolutionsAPI usage fees and white-label licensing (e.g., $0.01-0.10 per generation)

Sell API access to developers for embedding NotebookLM functionalities into other applications, such as e-learning platforms or research tools. Offer white-label options for businesses to rebrand the service under their own name.

💬 Integration Tip

Integrate with existing document management systems via the Python API to automate content pipelines, but ensure rate limiting is handled to avoid API throttling in production environments.