exa-notebooklm

Automate source discovery, ingestion, and citation generation with Exa and NotebookLM.

1|Updated Feb 17, 2026

Search Tags:#rag #source-grounded #citation #notebooklm #exa #knowledge-base

Ready to run

npx skills add https://github.com/snqb/my-skills --skill exa-notebooklm

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: exa-notebooklm
Source: https://github.com/snqb/my-skills/tree/main/exa-notebooklm
Command: npx skills add https://github.com/snqb/my-skills --skill exa-notebooklm

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates source discovery, ingestion, and citation generation for rigorous research.

Core Features & Use Cases

Exa web search integration to locate credible sources
NotebookLM ingestion and querying with source citations
End-to-end provenance tracking and private knowledge base management
Use cases include academic research, policy reports, and internal knowledge management

Quick Start

Install the exa-notebooklm skill and authenticate Exa and NotebookLM to begin feeding sources and generating cited outputs.

Frequently Asked Questions about exa-notebooklm

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

FAQPage Schema

How do I automate source discovery and citation generation for academic research?▼

You can automate source discovery and citation generation by using Exa web search to locate credible sources and NotebookLM to ingest them, enforcing end-to-end provenance for rigorous academic research outputs.

Can I use NotebookLM to build a private knowledge base with end-to-end provenance tracking?▼

Yes, you can build a private knowledge base with NotebookLM that enforces end-to-end provenance tracking, ensuring all query synthesis and structured data outputs are grounded in ingested primary sources.

What do I need to run source-grounded research queries with Exa and NotebookLM?▼

To run source-grounded research queries, you need valid Exa and NotebookLM credentials to authenticate the workflow, which automates batch and deep searches across multiple sources.

How does source-grounded research handle ingested primary sources during query synthesis?▼

Source-grounded research ingests primary sources into NotebookLM, then synthesizes queries by enforcing end-to-end provenance, ensuring every cited fact across batch and deep searches is traceable to its original source.

What is the best way to generate cited facts for policy reports requiring primary sources?▼

The best way to generate cited facts for policy reports is automating source discovery via Exa web search and NotebookLM ingestion, which enforces end-to-end provenance across multiple structured data sources.

Are there limitations when running batch and deep searches across multiple sources?▼

The workflow requires valid Exa and NotebookLM credentials to function, and its ability to enforce end-to-end provenance across batch and deep searches depends entirely on the accessibility of those external source platforms.