How do I install the Notebooklm Import skill?

Run npx skillmds@latest add artemxtech/notebooklm-import in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

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Which AI agents work with Notebooklm Import?

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Is Notebooklm Import free to use?

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Who published Notebooklm Import?

ArtemXTech (@artemxtech) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Notebooklm Import by artemxtech — Agent Skill

Name: Notebooklm Import
Rating: 4.2 (5 reviews)
Author: 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.

ArtemXTech 6c270da 8 files · 29.2 KB Updated Sep 10, 2026

File contents

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

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

2. Authenticate

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

# 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:

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:

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.

---name: notebooklm-importdescription: 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.---# NotebookLM - Vault Knowledge GraphTurn 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```bashpip install "notebooklm-py[browser]"playwright install chromium```### 2. Authenticate```bashnotebooklm 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 SetupCopy 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 notebooknotebooklm status# Switch notebooknotebooklm use <notebook-id># List notebooksnotebooklm list```## Workflow Routing| User says | Workflow ||-----------|----------|| "import notebook", "notebooklm import", "import sources" | [workflows/import.md](workflows/import.md) || "notebooklm ask", "ask notebook", "Q&A" | [workflows/ask.md](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:**```yamltype: notebook-sourcesource_id: "uuid" # NotebookLM source IDnotebook_id: "uuid" # NotebookLM notebook IDurl: "" # Original URLsource_type: youtube # youtube, pdf, web, text, gdocs, gslidesstatus: activedate: YYYY-MM-DDtopics: - "[[Topic Name]]" # AI-extracted topics as wikilinksrelated: - "[[Notes/Dashboards/Dashboard Name]]"```**Q&A reference frontmatter:**```yamltype: referencestatus: currentdate: YYYY-MM-DDsource: "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.

Frequently asked questions