# Notebooklm

> Use this skill to query your Google NotebookLM notebooks directly from Claude Code for source-grounded, citation-backed answers from Gemini. Browser automation, library management, persistent auth. Drastically reduced hallucinations through document-only responses.

- Skill: `dokhacgiakhoa/notebooklm` (Agent Skill, multi-file: 30 files)
- Install (CLI): `npx skillmds add dokhacgiakhoa/notebooklm`
- Raw SKILL.md: https://api.skillmd.com/api/skills/dokhacgiakhoa/notebooklm/raw
- Safety review: pending (external: skill-scanner PASS, skillspector WARNING)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: Dokhacgiakhoa (https://skillmd.com/u/dokhacgiakhoa)
- Updated: 2026-08-19
- Page: https://skillmd.com/skills/dokhacgiakhoa/notebooklm

---


# NotebookLM Research Assistant Skill

Interact with Google NotebookLM to query documentation with Gemini's source-grounded answers. Each question opens a fresh browser session, retrieves the answer exclusively from your uploaded documents, and closes.

## When to Use This Skill

Trigger when user:
- Mentions NotebookLM explicitly
- Shares NotebookLM URL (`https://notebooklm.google.com/notebook/...`)
- Asks to query their notebooks/documentation
- Wants to add documentation to NotebookLM library
- Uses phrases like "ask my NotebookLM", "check my docs", "query my notebook"

## ⚠️ CRITICAL: Add Command - Smart Discovery

When user wants to add a notebook without providing details:

**SMART ADD (Recommended)**: Query the notebook first to discover its content:
```bash
# Step 1: Query the notebook about its content
python scripts/run.py ask_question.py --question "What is the content of this notebook? What topics are covered? Provide a complete overview briefly and concisely" --notebook-url "[URL]"

# Step 2: Use the discovered information to add it
python scripts/run.py notebook_manager.py add --url "[URL]" --name "[Based on content]" --description "[Based on content]" --topics "[Based on content]"
```

**MANUAL ADD**: If user provides all details:
- `--url` - The NotebookLM URL
- `--name` - A descriptive name
- `--description` - What the notebook contains (REQUIRED!)
- `--topics` - Comma-separated topics (REQUIRED!)

NEVER guess or use generic descriptions! If details missing, use Smart Add to discover them.

## Critical: Always Use run.py Wrapper

**NEVER call scripts directly. ALWAYS use `python scripts/run.py [script]`:**

```bash
# ✅ CORRECT - Always use run.py:
python scripts/run.py auth_manager.py status
python scripts/run.py notebook_manager.py list
python scripts/run.py ask_question.py --question "..."

# ❌ WRONG - Never call directly:
python scripts/auth_manager.py status  # Fails without venv!
```

The `run.py` wrapper automatically:
1. Creates `.venv` if needed
2. Installs all dependencies
3. Activates environment
4. Executes script properly

## Core Workflow

## 🧠 Knowledge Modules (Fractal Skills)

### 1. [Step 1: Check Authentication Status](./sub-skills/step-1-check-authentication-status.md)
### 2. [Step 2: Authenticate (One-Time Setup)](./sub-skills/step-2-authenticate-one-time-setup.md)
### 3. [Step 3: Manage Notebook Library](./sub-skills/step-3-manage-notebook-library.md)
### 4. [Quick Workflow](./sub-skills/quick-workflow.md)
### 5. [Step 4: Ask Questions](./sub-skills/step-4-ask-questions.md)
### 6. [Authentication Management (`auth_manager.py`)](./sub-skills/authentication-management-auth_managerpy.md)
### 7. [Notebook Management (`notebook_manager.py`)](./sub-skills/notebook-management-notebook_managerpy.md)
### 8. [Question Interface (`ask_question.py`)](./sub-skills/question-interface-ask_questionpy.md)
### 9. [Data Cleanup (`cleanup_manager.py`)](./sub-skills/data-cleanup-cleanup_managerpy.md)