notebooklm-research-automation
by LocoLoboZ
Automate Google NotebookLM research workflows, source ingestion, and study material generation via CLI and Python.
- Automate the creation of audio overview scripts from multiple source URLs.
- Build repeatable research pipelines for complex PDF and YouTube datasets.
- Generate structured study materials like quizzes and briefings programmatically.
Secure checkout via Stripe
Included in download
- Build repeatable research pipelines for complex PDF and YouTube datasets.
- Generate structured study materials like quizzes and briefings programmatically.
- terminal, browser, env_vars automation included
- Ready for including Claude Code
See it in action
A real example of what this skill takes in and produces.
Sample input
I have 8 academic papers as PDFs I want to ingest into a new NotebookLM notebook called "AI Safety Research Q2". Generate a workflow plan, produce an audio overview brief, and create a study guide covering key themes and open questions across all sources.
Sample output
The skill produces a structured workflow plan for the notebook creation and source ingestion, followed by an audio overview brief formatted for NotebookLM's generation interface. A study guide is produced covering key themes, cross-source connections, and open research questions identified across the 8 papers. An artifact validation register records each generated output with status and quality check notes. Runtime setup verification steps are included to confirm the Python environment is ready before execution.
Automate Google NotebookLM research workflows, source ingestion, and study material generation via CLI and Python.
Secure checkout via Stripe
Included in download
- Build repeatable research pipelines for complex PDF and YouTube datasets.
- Generate structured study materials like quizzes and briefings programmatically.
- terminal, browser, env_vars automation included
- Ready for including Claude Code
- Instant install
See it in action
A real example of what this skill takes in and produces.
Sample input
I have 8 academic papers as PDFs I want to ingest into a new NotebookLM notebook called "AI Safety Research Q2". Generate a workflow plan, produce an audio overview brief, and create a study guide covering key themes and open questions across all sources.
Sample output
The skill produces a structured workflow plan for the notebook creation and source ingestion, followed by an audio overview brief formatted for NotebookLM's generation interface. A study guide is produced covering key themes, cross-source connections, and open research questions identified across the 8 papers. An artifact validation register records each generated output with status and quality check notes. Runtime setup verification steps are included to confirm the Python environment is ready before execution.
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.
Use Cases
- Automate the creation of audio overview scripts from multiple source URLs.
- Build repeatable research pipelines for complex PDF and YouTube datasets.
- Generate structured study materials like quizzes and briefings programmatically.
- Troubleshoot and manage NotebookLM authentication and source logs via CLI.
How to Install
mkdir -p ~/.claude/skills && curl -sL https://www.agensi.io/api/install/notebooklm-research-automation | tar xz -C ~/.claude/skills/Free skills install directly. Paid skills require purchase - use the download button above after buying.
Reviews
No reviews yet - be the first to share your experience.
Only users who have downloaded or purchased this skill can leave a review.
Early access skill
Be the first to review this skill.
Only users who have downloaded or purchased this skill can leave a review.
Security Scanned
Passed automated security review
Permissions
Allowed Hosts
File Scopes
Works with any agent that supports the Universal SKILL.md Standard, including Claude Code, Codex CLI, Cursor, VS Code Copilot, Gemini CLI, OpenClaw, and 20+ compatible agents. Requires a Google account with NotebookLM access and a Python 3.9+ environment with notebooklm-py installed.
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.
Frequently Asked Questions
Learn More About AI Agent Skills
More Premium Skills
skill-router-2
Automatically detect, load, and stack the perfect skills combo for any user request.
cinematic-sites
Turn any basic business URL into a high-end cinematic landing page with AI-generated 4K assets and GSAP animations.
synthesizing-institutional-knowledge
Builds the organizational memory schema your AI agent needs to answer why — capturing decision provenance, causal chains, and event context that embedding-based retrieval permanently discards.
designing-hybrid-context-layers
Architects the right retrieval strategy for every query — teaching your agent when to use RAG, a knowledge graph, or a temporal index instead of defaulting to vector search for everything.