Works with the AI tools you already use
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Gemini CLI+20 moreClaude CodeCursorCodex CLIGitHub CopilotGemini CLI
OpenClaw
Manus
Grok+17 agentsNotebooklm Research Automation
Automate Google NotebookLM research workflows, source ingestion, and study material generation via CLI and Python.
$12
notebooklm-research-automation
Example session with this skill installed
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.
- Read your context and instructions
- Compiled the notebooklm-research-automation
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.
Connects securely to your tools. The creator never sees your data.
What you get
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.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
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- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
Skills folder by agent
Click the path to copy it. Create the folder if it does not exist yet.
Reviews
1 people have installed this skill.
Trust & safety
Security scanned
Verified clean 4 months ago
- Passed all security checks, Safe to install