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    Notebooklm Research Automation

    2

    Automate Google NotebookLM research workflows, source ingestion, and study material generation via CLI and Python.

    $12

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    1 install5.0 (1 review)
    notebooklm-research-automation

    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.

    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 use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

    Reviews

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    1 people have installed this skill.

    Trust & safety

    Security scanned

    Verified clean 4 months ago

    • Passed all security checks, Safe to install

    Needs access to

    Google
    Arxiv
    Youtube

    Listed4 months ago

    What's inside

    Frequently Asked Questions