notebooklm-skill
🥇GoldThe notebooklm-skill allows Claude Code to interact with Google NotebookLM, providing citation-backed answers from your documents. It features browser automation and library management for a streamlined knowledge retrieval experience.
5,7272680Updated Today
Intermediate15 minutes to implementproductivity
Saves ~30 min per use
Quick InstallView Source
claude install PleasePrompto/notebooklm-skillWorks with:
Claude
Overview
About This Skill
The notebooklm-skill allows Claude Code to interact with Google NotebookLM, providing citation-backed answers from your documents. It features browser automation and library management for a streamlined knowledge retrieval experience.
How to Use
["1. **Set Up Google NotebookLM**: Ensure your documents are uploaded and organized in Google NotebookLM. This will be the knowledge base for the notebooklm-skill.","2. **Define Your Query**: Clearly specify the topic you want to search for in your prompt. Be as specific as possible to get relevant results.","3. **Request Actionable Insights**: Ask for a summary of key points and citations from your documents. Additionally, request actionable steps based on the insights.","4. **Review and Act**: Carefully review the summarized insights and actionable steps provided by the notebooklm-skill. Use this information to guide your decisions and actions.","5. **Refine Your Queries**: If the initial results are not satisfactory, refine your query by providing more specific details or adjusting the focus of your search."]
Use Cases
Retrieve specific information from uploaded documents quickly and accurately.
Automate data extraction from Google NotebookLM to save time on repetitive tasks.
Generate insights based on personal knowledge bases for informed decision-making.
Efficiently manage and organize a library of documents with smart tagging and metadata.
Best For
RevOpsGrowth
Tags
Setup & Installation
Quick Install
Terminal
claude install PleasePrompto/notebooklm-skillAlternative Install (Git Clone)
git clone https://github.com/PleasePrompto/notebooklm-skillRequirements
- Claude Code or compatible AI agent
- Works with: Claude
Quick Start Guide
1
Install the Skill
Copy the install command above and run it in your terminal.
2
Open Your AI Agent
Launch Claude Code, Cursor, or your preferred AI coding agent.
3
Try It Out
Use the prompt template or examples below to test the skill.
4
Customize
Adapt the skill to your specific use case and workflow.
Usage Examples
Prompt Template
Using the notebooklm-skill, search through my Google NotebookLM documents for insights related to [TOPIC]. Provide a summary of the key points and cite the specific documents where this information was found. Additionally, suggest 3 actionable steps based on these insights that I can take this week to improve [SPECIFIC GOAL].
Example Output
Based on your Google NotebookLM documents, here are the key insights related to 'Q3 sales performance' and 'customer churn': 1. **Sales Performance**: The documents 'Q3 Sales Review' and 'Pipeline Analysis' indicate that sales performance in Q3 was 15% below target. The primary reason cited was delayed responses to customer inquiries, with an average response time of 48 hours. 2. **Customer Churn**: The document 'Customer Feedback Q3' shows that 30% of churned customers cited slow response times and lack of follow-up as key reasons for leaving. The document 'Churn Analysis' suggests that proactive check-ins could reduce churn by up to 20%. 3. **Actionable Steps**: - Implement a response time tracking system to ensure inquiries are addressed within 24 hours. - Schedule weekly follow-up calls with high-risk customers identified in the 'Churn Analysis' document. - Train the sales team on proactive customer engagement strategies using the insights from the 'Customer Feedback Q3' document.
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