What problem does it solve?
Conducting thorough market, competitive, or prospect research requires gathering sources, synthesizing findings, and producing deliverables, which is slow and inconsistent when done manually. This Skill automates the full research pipeline using Google NotebookLM as the research engine.
Core Features & Use Cases
- Structured Multi-Source Research: Creates a NotebookLM notebook, seeds it with URLs and documents, runs fast or deep research queries, and imports discovered sources for analysis.
- Formatted Research Briefs: Delivers consistent markdown briefs covering key findings, opportunities, risks, recommended actions, and sources, saved to a local research directory.
- Studio Artifact Generation: Optionally produces slides, audio podcasts, videos, infographics, reports, and mind maps from the research notebook.
- Use Case: A sales rep asks for competitive intel on a prospect's market. The Skill scopes the angle, runs NotebookLM research, saves a dated brief with headline findings, and generates a slide deck for the pitch meeting.
Quick Start
Research the competitive landscape for AI coding assistants and save a brief with the top findings and recommended actions.