繁體中文 README

Turn Codex into your NotebookLM research operator: prepare sources, create or reuse NotebookLM notebooks, generate NotebookLM Studio artifacts, download the outputs locally, and hand everything back to Codex for analysis, rewriting, study guides, decks, reports, and content workflows.

NotebookLM Studio Skill does not replace NotebookLM. It connects NotebookLM to an AI agent workflow so Codex can help you operate the research process end to end.

NotebookLM Studio Skill helps you turn source material into a complete research workflow:

• Create or reuse NotebookLM notebooks
• Organize and add NotebookLM-supported sources such as web pages, PDFs, documents, slide decks, tables, audio, video, and images
• Trigger NotebookLM Studio artifacts
• Download generated outputs to a local folder
• Create handoff files so Codex can read and analyze the results directly
• Launch a local Dashboard control room
• Convert NotebookLM Mind Map JSON into interactive HTML
• Turn NotebookLM outputs into reports, tutorials, presentation outlines, content strategies, or research summaries

In short:

Sources
→ NotebookLM notebook
→ NotebookLM Studio artifacts
→ Local downloads
→ Codex analysis, rewriting, and follow-up production

Codex can read handoff files and analyze NotebookLM outputs on one side, while the NotebookLM Studio Dashboard manages notebooks, sources, recipes, and generation jobs on the other.

The Library view lets you browse NotebookLM notebooks, source counts, generated artifacts, recent activity, and readiness status.

The Data Room is the workspace for a single notebook: sources on the left, goal-based workflows in the center, and native NotebookLM tools on the right.

The One-Click Workflows package common research jobs into ready-made flows. Instead of manually generating each artifact one by one, choose a goal and let the Skill create a useful set of NotebookLM outputs.

The timeline tracks generation status, artifact type, downloaded outputs, and the handoff path back into Codex.

NotebookLM-generated slide decks or PDFs can be downloaded locally and reviewed side by side with Codex analysis.

NotebookLM already supports many source formats and can generate useful outputs. This Skill adds the workflow layer around it.

Think of NotebookLM as the research model that reads a large body of material. This Skill is the operator layer that prepares sources, runs the workflow, downloads outputs, and hands them back to Codex.

You can install the Skill in either of these ways.

If your agent or Skills manager supports skills add, run:

npx skills add Toolsai/notebooklm-studio-Skill

This is the simplest option for users already working with Skills.

Clone the repository:

git clone https://github.com/Toolsai/notebooklm-studio-Skill.git

Then place the folder where your agent can read Skills.

For Codex:

mkdir -p ~/.codex/skills
cp -R notebooklm-studio-Skill ~/.codex/skills/notebooklm-studio

For Claude Code:

mkdir -p ~/.claude/skills
cp -R notebooklm-studio-Skill ~/.claude/skills/notebooklm-studio

For other agents, use the Skills directory required by that tool.

After installation, ask Codex:

Initiate /notebookLM studio

Codex will follow the Skill instructions, check the environment, confirm NotebookLM availability, and guide you through Google login or authorization when needed. Login and security verification must be completed by the user.

Ask your agent:

Launch the NotebookLM Studio dashboard.

The agent will provide a local URL, for example:

http://localhost:8765/

If the default port is already in use, the server will use the next available local port and report the actual URL.

Use /notebookLM studio to create a new NotebookLM notebook called "AI Agent Research Pack", add the following URLs as sources, generate a Report and Mind Map, download the outputs, and analyze them for me.

Use /notebookLM studio to turn these sources into a study pack: Report, Quiz, Flashcards, and Mind Map. Download all outputs and summarize the key ideas.

Use /notebookLM studio to create a Slide Deck from this NotebookLM notebook. Download PDF and PPTX if available, then give me a presentation outline.

Use /notebookLM studio to generate an Audio Overview from this notebook. Download it and tell me what topics it covers.

Generate a NotebookLM Mind Map, download the JSON, convert it into interactive HTML, and give me both file links.

Search for the most reliable OpenAI Codex Agent tutorials, prioritize official documentation and high-quality guides, create a new NotebookLM notebook, add the sources, then use NotebookLM to generate a deep tutorial report.

This Skill prioritizes source formats supported by NotebookLM, including PDF, TXT, Markdown, DOCX, CSV, PPTX, EPUB, audio, video, and images.

Its main role is source organization, import checks, generation tracking, output downloads, handoff creation, and follow-up Codex analysis.

Find sources → build NotebookLM → generate Report → Codex performs deeper analysis

Course material → Study Guide → Quiz → Flashcards → Codex designs practice

Sources → NotebookLM Report / Mind Map → Codex rewrites into posts, scripts, or decks

Docs / PRs / meeting notes → NotebookLM → Data Table / Summary / Action Plan

This Skill is designed primarily for Codex workflows, especially local file handling, Dashboard operation, handoff analysis, and multi-step research tasks.

Other agents that support Skills or local tool execution can adapt the project, but may require platform-specific adjustments.

Use this project only with accounts, data, and content you are authorized to access.

• Do not use it to bypass paywalls, DRM, login walls, private access controls, or content restrictions
• Do not commit private login material, sessions, tokens, or sensitive local outputs to GitHub
• Google login and security verification must be completed by the user
• NotebookLM is a Google product. This project is not affiliated with or endorsed by Google

This project is licensed under the MIT License. See LICENSE.