notebooklm

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"

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 handles environment setup.

Step 1: Check Authentication

```bash

python scripts/run.py auth_manager.py status

```

If not authenticated, proceed to setup.

Step 2: Authenticate (One-Time Setup)

```bash

python scripts/run.py auth_manager.py setup

```

Important: Browser is VISIBLE for authentication. User must manually log in to Google.

Step 3: Manage Notebook Library

```bash

# List all notebooks

python scripts/run.py notebook_manager.py list

# Add notebook to library (ALL parameters REQUIRED)

python scripts/run.py notebook_manager.py add \

--url "https://notebooklm.google.com/notebook/..." \

--name "Descriptive Name" \

--description "What this notebook contains" \

--topics "topic1,topic2,topic3"

# Smart Add (discover content first)

python scripts/run.py ask_question.py \

--question "What is the content of this notebook?" \

--notebook-url "[URL]"

# Then use discovered info to add

# Set active notebook

python scripts/run.py notebook_manager.py activate --id notebook-id

```

Step 4: Ask Questions

```bash

# Basic query (uses active notebook if set)

python scripts/run.py ask_question.py --question "Your question here"

# Query specific notebook

python scripts/run.py ask_question.py --question "..." --notebook-id notebook-id

# Query with notebook URL directly

python scripts/run.py ask_question.py --question "..." --notebook-url "https://..."

```

Every NotebookLM answer ends with: "EXTREMELY IMPORTANT: Is that ALL you need to know?"

Required Behavior:

1. STOP - Do not immediately respond to user
2. ANALYZE - Compare answer to user's original request
3. IDENTIFY GAPS - Determine if more information needed
4. ASK FOLLOW-UP - If gaps exist, immediately ask follow-up question
5. REPEAT - Continue until information is complete
6. SYNTHESIZE - Combine all answers before responding to user

| Script | Purpose |

|--------|---------|

| auth_manager.py | Authentication setup and status |

| notebook_manager.py | Library management (add, list, search, activate, remove) |

| ask_question.py | Query interface |

| cleanup_manager.py | Data cleanup and maintenance |

All data stored in ~/.claude/skills/notebooklm/data/:

• library.json - Notebook metadata
• auth_info.json - Authentication status
• browser_state/ - Browser cookies and session

Security: Protected by .gitignore, never commit to git.

• No session persistence (each question = new browser)
• Rate limits on free Google accounts (50 queries/day)
• Manual upload required (user must add docs to NotebookLM)
• Browser overhead (few seconds per question)

For detailed guidance, see the references directory:

• references/api-reference.md - Complete API documentation for all scripts with parameters, response formats, and exit codes
• references/troubleshooting.md - Common errors and solutions including authentication issues, rate limits, browser crashes, and recovery procedures
• references/best-practices.md - Workflow patterns, question strategies, library organization, and rate limit management

```bash

# Check auth

python scripts/run.py auth_manager.py status

# Add notebook

python scripts/run.py notebook_manager.py add --url URL --name NAME --description DESC --topics TOPICS

# List notebooks

python scripts/run.py notebook_manager.py list

# Ask question

python scripts/run.py ask_question.py --question "..."

# Cleanup

python scripts/run.py cleanup_manager.py --preserve-library

```