Notebooklm Import

Community

ArtemXTech

notebooklm-import

Import NotebookLM notebooks into your Obsidian vault as linked knowledge graphs. Sources become wikilink-able files, Q&A answers get citations resolved to [[wikilinks]] with passage-level deep links. Use when user says "notebooklm import", "import notebook", "notebooklm sources", or wants to import NotebookLM data into vault files.

Overview

Publisher	ArtemXTech
Repository	`personal-os-skills`
Skill name	`notebooklm-import`
Stars	542
Forks	90
Bundled files	7
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
7 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by ArtemXTech on GitHub. Read the source before you install it.

Installation

Install the Notebooklm Import AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/ArtemXTech/personal-os-skills/tree/main/skills/notebooklm-import
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/ArtemXTech/personal-os-skills.git /tmp/personal-os-skills
mkdir -p .claude/skills
cp -r /tmp/personal-os-skills/skills/notebooklm-import .claude/skills/notebooklm-import

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Notebooklm Import in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Notebooklm Import on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Notebooklm Import is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

NotebookLM - Vault Knowledge Graph

Turn NotebookLM notebooks into persistent, linked vault knowledge. Sources become files you can [[wikilink]], Q&A answers get [N] citations resolved to those wikilinks, dashboards tie it all together.

Prerequisites

1. Install notebooklm-py

bash
pip install "notebooklm-py[browser]"
playwright install chromium

2. Authenticate

bash
notebooklm login

Opens a browser window - log in with your Google account. Cookies are saved to ~/.notebooklm/storage_state.json.

Re-run notebooklm login when cookies expire (you'll see auth errors).

3. Obsidian Plugins

Dataview (required) - citation tables and dashboard queries use Dataview/DataviewJS

4. Vault Setup

Copy the templates from templates/ into your vault:

templates/notebook-source.md -> Templates/Types/notebook-source.md
templates/dashboard.md -> use as reference when creating dashboards

Quick Start

bash
# Check current notebook
notebooklm status

# Switch notebook
notebooklm use <notebook-id>

# List notebooks
notebooklm list

Workflow Routing

User says	Workflow
"import notebook", "notebooklm import", "import sources"	workflows/import.md
"notebooklm ask", "ask notebook", "Q&A"	workflows/ask.md

Architecture


Your Vault
├── Notes/NotebookLM/{notebook-slug}/
│   ├── Sources/          # One .md per source (YouTube, PDF, web, etc.)
│   │   ├── Video Title.md
│   │   └── Article Title.md
│   └── QA/               # Q&A notes with resolved citations
│       └── 2026-02-23 Emerging Themes.md
└── Notes/Dashboards/
    └── My Research.md     # Dashboard with Dataview queries

Source files have type notebook-source with frontmatter: source_id, notebook_id, url, source_type, topics as [[wikilinks]]
Q&A notes have type reference with [N] citations resolved to [[Source Title#Passage N]] wikilinks
Dashboards use Dataview queries to list sources and Q&A notes

Data Model

notebook-source frontmatter:

yaml
type: notebook-source
source_id: "uuid"        # NotebookLM source ID
notebook_id: "uuid"      # NotebookLM notebook ID
url: ""                  # Original URL
source_type: youtube     # youtube, pdf, web, text, gdocs, gslides
status: active
date: YYYY-MM-DD
topics:
  - "[[Topic Name]]"     # AI-extracted topics as wikilinks
related:
  - "[[Notes/Dashboards/Dashboard Name]]"

Q&A reference frontmatter:

yaml
type: reference
status: current
date: YYYY-MM-DD
source: "notebooklm:{notebook-slug}"
related:
  - "[[Notes/Dashboards/Dashboard Name]]"

Scripts

Script	Purpose
`scripts/import_sources.py`	Import sources as vault files with AI-generated guides and topics
`scripts/extract_passages.py`	Extract cited passages from Q&A into source files
`scripts/resolve_citations.py`	Replace `[N]` markers with `[[wikilinks]]` in Q&A answers

All scripts use Path.cwd() as vault root - run them from your vault directory.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Notebooklm Import AI skill do?

Why use Notebooklm Import on TypingMind?

Because you install it once and use it with any model. Notebooklm Import is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Notebooklm Import in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ArtemXTech/personal-os-skills/tree/main/skills/notebooklm-import. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Notebooklm Import?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Notebooklm Import?

As many as you like. As long as a model supports skills, you can use Notebooklm Import with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Notebooklm Import AI skill free?

Yes. It is published on GitHub by ArtemXTech under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

NotebookLM - Vault Knowledge Graph

Prerequisites

1. Install notebooklm-py

2. Authenticate

3. Obsidian Plugins

4. Vault Setup

Quick Start

Workflow Routing

Architecture

Data Model

Scripts

Bundled files

Frequently asked questions

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