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notebooklm-local-analyzer

Analyze local documents with Google NotebookLM via Python scripts.

Updated Feb 18, 2026
Search Tags:#business intelligence#risk assessment#document analysis#ai insights#notebooklm#local files
One-click install
npx skills add https://github.com/ollieb89/openrepo --skill notebooklm-local-analyzer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: notebooklm-local-analyzer
Source: https://github.com/ollieb89/openrepo/tree/main/skills/notebooklm/local-analyzer
Command: npx skills add https://github.com/ollieb89/openrepo --skill notebooklm-local-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the process of analyzing local documents using Google NotebookLM, transforming raw business documents into actionable insights and risk assessments.

Core Features & Use Cases

  • Batch Document Analysis: Analyze entire folders of documents to categorize and identify high-value files for deeper AI analysis.
  • Targeted Document Upload: Upload specific files to NotebookLM for focused AI processing.
  • Source-Grounded Querying: Ask specific questions about your uploaded documents and receive AI-generated answers with citations.
  • Use Case: Upload your company's strategic plan, financial reports, and market research documents to NotebookLM to get a consolidated risk assessment and identify key competitive advantages.

Quick Start

Run the batch analyzer script on your business strategy documents folder.

Frequently Asked Questions about notebooklm-local-analyzer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze local business documents using NotebookLM?▼

Batch processing local document directories involves running a provided Python script that categorizes files, identifies high-value targets, and uploads them to NotebookLM for advanced AI analysis and risk assessment.

Can I ask specific questions about my uploaded files and get cited answers?▼

Yes, the source-grounded querying feature allows you to ask specific questions about your uploaded files and receive AI-generated answers with citations directly from your local documents.

What is the best way to generate a risk assessment from multiple strategic planning files?▼

Generating a risk assessment from multiple files is best achieved by batch analyzing an entire directory, uploading the identified high-value documents to NotebookLM, and querying for consolidated insights.

Do I need Python to run batch analysis on local files with this solution?▼

Yes, you need Python to execute the scripts that handle batch document analysis, targeted file uploads, and directory processing for NotebookLM integration.

Does NotebookLM support uploading entire folders of business documents for AI insights?▼

NotebookLM supports uploading entire folders through batch processing scripts that iterate through local directories, categorize the business documents, and prepare them for AI insights.

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