Works with the AI tools you already use
Notebooklm Research Automation
by LocoLoboZ
Automate Google NotebookLM research workflows, source ingestion, and study material generation via CLI and Python.
$12
· or 60 creditsSecure checkout via Stripe
About this skill
Automate Research with NotebookLM
Transform how you interact with Google NotebookLM by automating the tedious parts of the research process. This skill provides a structured framework for managing notebooks, ingesting diverse source material, and generating high-quality research artifacts without the manual overhead of the web interface.
What it does
Designed for developers and researchers, this skill acts as a bridge between your CLI/Python environment and NotebookLM. It helps you:
- Plan and execute complex research pipelines using URLs, PDFs, and YouTube transcripts.
- Generate study materials, audio overview plans, quiz questions, and flashcards programmatically.
- Manage notebook lifecycles, from creation and source ingestion to artifact export.
- Automate authentication workflows using secure browser cookie extraction methods.
Why use this skill
While prompting an AI can help you write a summary, this skill provides operational logic. It ensures runtime readiness, validates authentication boundaries, and follows a strict "plan-before-execute" pattern. It includes dedicated templates for run logs and artifact registers, making your research reproducible and auditable. It handles the underlying complexity of the notebooklm-py library, allowing you to focus on the research objective rather than the command-line syntax.
Supported Tools
The skill is optimized for environments running Python 3.9+, the notebooklm-py CLI, and supports cookie-based authentication via Firefox or Chrome.
Details
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
Security Scanned
Passed automated security review
Permissions
Allowed Hosts
File Scopes
Creator
I design and publish skills built from real professional practice across three areas: cyber security consulting, business operations, and AI workflow engineering. My cyber security skills draw on active advisory work spanning governance, risk, compliance, assurance, and executive reporting. They are built for practitioners who need structured, defensible outputs - not generic templates. My business operations skills cover the day-to-day work of running a consulting practice: bookkeeping, financial tracking, expense reconciliation, and marketing content - designed to reduce repetitive overhead and keep outputs consistent. My AI platform and workflow skills are built for people who want to get more out of Claude and similar platforms - covering prompt engineering, skill architecture, automation pipelines, and agent enhancement. Every skill I publish has been tested in production use before it reaches the marketplace. If it is here, it works.
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