Do I need a Google account for this skill to work?

Yes, because the skill uses browser automation to interact with NotebookLM, you must be logged into a Google account in the Chrome browser instance managed by the MCP.

Is the output content based on real-time data?

Yes, the first phase of the workflow involves a WebSearch to gather the latest statistics, trends, and data points before the visualization begins.

What is the primary advantage of using this skill?

It saves hours of manual effort by merging deep web research, data analysis, and professional graphic design into a single, 8-minute automated workflow.

Can I generate infographics in languages other than Korean?

Yes, the skill provides full support for both Korean and English, and can be customized for other languages through specific prompt instructions.

Which MCPs are required for this skill?

You need the NotebookLM MCP, WebSearch MCP, and browser automation tools (mcp__claude-in-chrome__) installed and configured.

NotebookLM Infographic Automator

Name: NotebookLM Infographic Automator
Author: hongsw

byhongsw

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Productivity & Workflow

Generates professional infographics automatically by combining real-time web research with NotebookLM's visual creation capabilities.

About

The NotebookLM Infographic skill streamlines the transition from raw research to visual storytelling by automating the entire production pipeline within Claude Code. It leverages WebSearch MCP for comprehensive data gathering, structures findings into professional presentation formats, and utilizes browser automation to navigate Google's NotebookLM for final infographic generation. This tool is ideal for researchers, analysts, and content creators who need high-quality visual summaries of complex topics in minutes without requiring manual design skills.

Key Features

End-to-end automation from web research to final visual output
Multilingual support for both Korean and English infographic generation
Seamless browser automation for Google NotebookLM integration
16 GitHub stars
Deep data structuring for clear visual hierarchies and statistics
Rapid 5-8 minute workflow for high-fidelity research visualization

Use Cases

Generating educational infographics for complex documentation or tutorials
Creating market trend visualizations and industry outlook reports
Summarizing technical research findings for stakeholder presentations

About

Key Features

End-to-end automation from web research to final visual output
Multilingual support for both Korean and English infographic generation
Seamless browser automation for Google NotebookLM integration
16 GitHub stars
Deep data structuring for clear visual hierarchies and statistics
Rapid 5-8 minute workflow for high-fidelity research visualization

Use Cases

Generating educational infographics for complex documentation or tutorials
Creating market trend visualizations and industry outlook reports
Summarizing technical research findings for stakeholder presentations