openakita/skills@notebooklm

Query uploaded documents for citation-backed answers and generate presentations.

2.0k|267|Updated Jan 30, 2026
One-click install
npx skills add https://github.com/openakita/openakita --skill openakita-skills-notebooklm
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openakita/skills@notebooklm
Source: https://github.com/openakita/openakita/tree/main/skills/notebooklm
Command: npx skills add https://github.com/openakita/openakita --skill openakita-skills-notebooklm

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill allows you to conduct in-depth research by uploading documents, querying them for information, and generating structured, visually appealing presentations with cited answers.

Core Features & Use Cases

  • Deep Research: Ask complex questions and get answers backed by citations from your uploaded documents.
  • Infographic Generation: Transform research findings into visually hierarchical presentations (Markdown, HTML/reveal.js, Mermaid).
  • Cross-Document Analysis: Synthesize information and identify trends or discrepancies across multiple sources.
  • Use Case: Upload a collection of academic papers on climate change, then ask the Skill to summarize the key findings on carbon sequestration methods, providing citations for each piece of information and generating a reveal.js presentation.

Quick Start

Use the notebooklm skill to research the main findings on renewable energy from the uploaded documents and output the results as a Markdown summary.

Frequently Asked Questions about openakita/skills@notebooklm

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

FAQPage Schema
How do I get citation-backed answers from uploaded research documents?

To get citation-backed answers, upload your source documents and ask complex research questions; the Skill queries the uploaded files to synthesize in-depth answers with direct citations referencing the source material.

Can I generate infographic presentations from cross-document analysis?

Yes, you can generate infographic presentations from cross-document analysis by synthesizing multiple sources and outputting structured visual hierarchies using Markdown, HTML/reveal.js, or Mermaid diagrams.

Does this Skill support multi-round questioning for deep research synthesis?

Yes, it supports multi-round questioning for deep research synthesis, allowing you to iteratively query uploaded documents to identify trends, extract findings, and perform comprehensive cross-document analysis.

What is the best way to summarize key findings from multiple academic papers?

The best way to summarize findings from multiple academic papers is to upload the documents and instruct the Skill to synthesize the information, producing a structured Markdown summary with citations for each key point.

What output formats are available for research dissemination and presentation?

Available output formats for research dissemination include Markdown for structured text, HTML/reveal.js for slideshow presentations, and Mermaid diagrams for visualizing hierarchical relationships and research data.