iusztinpaul/ai-research-os-workshop/nlm-skill

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Expert guide for the NotebookLM CLI (`nlm`) and MCP server - interfaces for Google NotebookLM. Use this skill when users want to interact with NotebookLM programmatically, including: creating/managing notebooks, adding sources (URLs, YouTube, text, Google Drive), generating content (podcasts, reports, quizzes, flashcards, mind maps, slides, infographics, videos, data tables), conducting research, chatting with sources, or automating NotebookLM workflows. Triggers on mentions of \"nlm\", \"notebooklm\", \"notebook lm\", \"podcast generation\", \"audio overview\", or any NotebookLM-related automation task.

Install

npx vskill@latest install iusztinpaul/ai-research-os-workshop/nlm-skill

SKILL.md

NotebookLM CLI & MCP Expert

This skill provides comprehensive guidance for using NotebookLM via both the nlm CLI and MCP tools.

Tool Detection (CRITICAL - Read First!)

ALWAYS check which tools are available before proceeding:

  1. Check for MCP tools: Look for tools starting with mcp__notebooklm-mcp__* or mcp_notebooklm_*
  2. If BOTH MCP tools AND CLI are available: ASK the user which they prefer to use before proceeding
  3. If only MCP tools are available: Use them directly (refer to tool docstrings for parameters)
  4. If only CLI is available: Use nlm CLI commands via Bash

Decision Logic:

has_mcp_tools = check_available_tools() # Look for mcp__notebooklm-mcp__* or mcp_notebooklm_*
has_cli = check_bash_available() # Can run nlm commands
if has_mcp_tools and has_cli:
# ASK USER: "I can use either MCP tools or the nlm CLI. Which do you prefer?"
user_preference = ask_user()
else if has_mcp_tools:
# Use MCP tools directly
mcp__notebooklm-mcp__notebook_list()
else:
# Use CLI via Bash
bash("nlm notebook list")

This skill documents BOTH approaches. Choose the appropriate one based on tool availability and user preference.

Quick Reference

Run `nlm --ai` to get comprehensive AI-optimized documentation - this provides a complete view of all CLI capabilities.

bash
nlm --help # List all commands
nlm <command> --help # Help for specific command
nlm --ai # Full AI-optimized documentation (RECOMMENDED)
nlm --version # Check installed version

Critical Rules (Read First!)

  1. Always authenticate first: Run nlm login before any operations
  2. Sessions expire in ~20 minutes: Re-run nlm login if commands start failing
  3. ⚠️ ALWAYS ASK USER BEFORE DELETE: Before executing ANY delete command, ask the user for explicit confirmation. Deletions are irreversible. Show what will be deleted and warn about permanent data loss.
  4. `--confirm` is REQUIRED: All generation and delete commands need --confirm or -y (CLI) or confirm=True (MCP)
  5. Research requires `--notebook-id`: The flag is mandatory, not positional
  6. Capture IDs from output: Create/start commands return IDs needed for subsequent operations
  7. Use aliases: Simplify long UUIDs with nlm alias set <name> <uuid>
  8. Check aliases before creating: Run nlm alias list before creating a new alias to avoid conflicts with existing names.
  9. DO NOT launch REPL: Never use nlm chat start - it opens an interactive REPL that AI tools cannot control. Use nlm notebook query for one-shot Q&A instead.
  10. Choose output format wisely: Default output (no flags) is compact and token-efficient—use it for status checks. Use --quiet to capture IDs for piping. Only use --json when you need to parse specific fields programmatically.
  11. Use `--help` when unsure: Run nlm <command> --help to see available options and flags for any command.

Workflow Decision Tree

Use this to determine the right sequence of commands:

User wants to...
│
├─► Work with NotebookLM for the first time
│ └─► nlm login → nlm notebook create "Title"
│
├─► Add content to a notebook
│ ├─► From a URL/webpage → nlm source add <nb-id> --url "https://..."
│ ├─► From YouTube → nlm source add <nb-id> --url "https://youtube.com/..."
│ ├─► From pasted text → nlm source add <nb-id> --text "content" --title "Title"
│ ├─► From Google Drive → nlm source add <nb-id> --drive <doc-id> --type doc
│ └─► Discover new sources → nlm research start "query" --notebook-id <nb-id>
│
├─► Generate content from sources
│ ├─► Podcast/Audio → nlm audio create <nb-id> --confirm
│ ├─► Written summary → nlm report create <nb-id> --confirm
│ ├─► Study materials → nlm quiz/flashcards create <nb-id> --confirm
│ ├─► Visual content → nlm mindmap/slides/infographic create <nb-id> --confirm
│ ├─► Video → nlm video create <nb-id> --confirm
│ └─► Extract data → nlm data-table create <nb-id> "description" --confirm
│
├─► Ask questions about sources
│ └─► nlm notebook query <nb-id> "question"
│ (Use --conversation-id for follow-ups)
│ ⚠️ Do NOT use `nlm chat start` - it's a REPL for humans only
│
├─► Check generation status
│ └─► nlm studio status <nb-id>
│
└─► Manage/cleanup
├─► List notebooks → nlm notebook list
├─► List sources → nlm source list <nb-id>
├─► Delete source → nlm source delete <source-id> --confirm
└─► Delete notebook → nlm notebook delete <nb-id> --confirm

Command Categories

1. Authentication
MCP Authentication

If using MCP tools and encountering authentication errors:

bash
# Run the CLI authentication (works for both CLI and MCP)
nlm login
# Then reload tokens in MCP
mcp__notebooklm-mcp__refresh_auth()

Or manually save cookies via MCP (fallback):

python
# Extract cookies from Chrome DevTools and save
mcp__notebooklm-mcp__save_auth_tokens(cookies="<cookie_header>")
#### CLI Authentication

nlm login # Launch browser, extract cookies (primary method) nlm login --check # Validate current session nlm login --profile work # Use named profile for multiple accounts nlm login --provider openclaw --cdp-url http://127.0.0.1:18800 # External CDP provider nlm login switch <profile> # Switch the default profile nlm login profile list # List all profiles with email addresses nlm login profile delete <name> # Delete a profile nlm login profile rename <old> <new> # Rename a profile

**Multi-Profile Support**: Each profile gets its own isolated browser session (supports Chrome, Arc, Brave, Edge, Chromium, and more), so you can be logged into multiple Google accounts simultaneously.
**Session lifetime**: ~20 minutes. Re-authenticate when commands fail with auth errors.
**Switching MCP Accounts**: The MCP server always uses the active default profile. If you need to switch which Google account the MCP server is communicating with, you MUST use the CLI: run `nlm login switch <name>`. Your next MCP tool call will instantly use the new account.
**Note**: Both MCP and CLI share the same authentication backend, so authenticating with one works for both.
### 2. Notebook Management
#### MCP Tools
Use tools: `notebook_list`, `notebook_create`, `notebook_get`, `notebook_describe`, `notebook_query`, `notebook_rename`, `notebook_delete`. All accept `notebook_id` parameter. Delete requires `confirm=True`.
#### CLI Commands

nlm notebook list # List all notebooks nlm notebook list --json # JSON output for parsing nlm notebook list --quiet # IDs only (for scripting) nlm notebook create "Title" # Create notebook, returns ID nlm notebook get <id> # Get notebook details nlm notebook describe <id> # AI-generated summary + suggested topics nlm notebook query <id> "question" # One-shot Q&A with sources nlm notebook rename <id> "New Title" # Rename notebook nlm notebook delete <id> --confirm # PERMANENT deletion

### 3. Source Management
#### MCP Tools
Use `source_add` with these `source_type` values:
- `url` - Web page or YouTube URL (`url` param)
- `text` - Pasted content (`text` + `title` params)
- `file` - Local file upload (`file_path` param)
- `drive` - Google Drive doc (`document_id` + `doc_type` params)
Other tools: `source_list_drive`, `source_describe`, `source_get_content`, `source_rename`, `source_sync_drive` (requires `confirm=True`), `source_delete` (requires `confirm=True`).
#### CLI Commands

Adding sources

nlm source add <nb-id> --url "https://..." # Web page nlm source add <nb-id> --url "https://youtube.com/..." # YouTube video nlm source add <nb-id> --text "content" --title "X" # Pasted text nlm source add <nb-id> --drive <doc-id> # Drive doc (auto-detect type) nlm source add <nb-id> --drive <doc-id> --type slides # Explicit type

Listing and viewing

nlm source list <nb-id> # Table of sources nlm source list <nb-id> --drive # Show Drive sources with freshness nlm source list <nb-id> --drive -S # Skip freshness checks (faster) nlm source get <source-id> # Source metadata nlm source describe <source-id> # AI summary + keywords nlm source content <source-id> # Raw text content nlm source content <source-id> -o file.txt # Export to file

Drive sync (for stale sources)

nlm source stale <nb-id> # List outdated Drive sources nlm source sync <nb-id> --confirm # Sync all stale sources nlm source sync <nb-id> --source-ids <ids> --confirm # Sync specific

Rename

nlm source rename <source-id> "New Title" --notebook <nb-id> nlm rename source <source-id> "New Title" --notebook <nb-id> # verb-first

Deletion

nlm source delete <source-id> --confirm

**Drive types**: `doc`, `slides`, `sheets`, `pdf`
### 4. Research (Source Discovery)
Research finds NEW sources from the web or Google Drive.
#### MCP Tools
Use `research_start` with:
- `source`: `web` or `drive`
- `mode`: `fast` (~30s) or `deep` (~5min, web only)
Workflow: `research_start` → poll `research_status` → `research_import`
#### CLI Commands

Start research (--notebook-id is REQUIRED)

nlm research start "query" --notebook-id <id> # Fast web (~30s) nlm research start "query" --notebook-id <id> --mode deep # Deep web (~5min) nlm research start "query" --notebook-id <id> --source drive # Drive search

Check progress

nlm research status <nb-id> # Poll until done (5min max) nlm research status <nb-id> --max-wait 0 # Single check, no waiting nlm research status <nb-id> --task-id <tid> # Check specific task nlm research status <nb-id> --full # Full details

Import discovered sources

nlm research import <nb-id> <task-id> # Import all nlm research import <nb-id> <task-id> --indices 0,2,5 # Import specific nlm research import <nb-id> <task-id> --timeout 600 # Custom timeout (default: 300s)

**Modes**: `fast` (~30s, ~10 sources) | `deep` (~5min, ~40+ sources, web only)
### 5. Content Generation (Studio)
#### MCP Tools (Unified Creation)
Use `studio_create` with `artifact_type` and type-specific options. All require `confirm=True`.
| artifact_type | Key Options |
|--------------|-------------|
| `audio` | `audio_format`: deep_dive/brief/critique/debate, `audio_length`: short/default/long |
| `video` | `video_format`: explainer/brief, `visual_style`: auto_select/classic/whiteboard/kawaii/anime/watercolor/retro_print/heritage/paper_craft |
| `report` | `report_format`: Briefing Doc/Study Guide/Blog Post/Create Your Own, `custom_prompt` |
| `quiz` | `question_count`, `difficulty`: easy/medium/hard |
| `flashcards` | `difficulty`: easy/medium/hard |
| `mind_map` | `title` |
| `slide_deck` | `slide_format`: detailed_deck/presenter_slides, `slide_length`: short/default |
| `infographic` | `orientation`: landscape/portrait/square, `detail_level`: concise/standard/detailed, `infographic_style`: auto_select/sketch_note/professional/bento_grid/editorial/instructional/bricks/clay/anime/kawaii/scientific |
| `data_table` | `description` (REQUIRED) |
**Common options**: `source_ids`, `language` (BCP-47 code), `focus_prompt`
**Revise Slides:** Use `studio_revise` to revise individual slides in an existing slide deck.
- Requires `artifact_id` (from `studio_status`) and `slide_instructions`
- Creates a NEW artifact — the original is not modified
- Slide numbers are 1-based (slide 1 = first slide)
- Poll `studio_status` after calling to check when the new deck is ready
#### CLI Commands
All generation commands share these flags:
- `--confirm` or `-y`: **REQUIRED** to execute
- `--source-ids <id1,id2>`: Limit to specific sources
- `--language <code>`: BCP-47 code (en, es, fr, de, ja)

This is the start of the file. Read the full SKILL.md on GitHub.

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