Skill: magicseek/nblm (version 1.0.1)

--- name: nblm description: 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. --- # NotebookLM Quick Commands Query Google NotebookLM for source-grounded, citation-backed answers. ## Environment All dependencies and authentication are handled automatically by `run.py`: - First run creates `.venv` and installs Python/Node.js dependencies - If Google auth is missing or expired, a browser window opens automatically - No manual pre-flight steps required --- ## Usage `/nblm <command> [args]` ## Commands ### Notebook Management | Command | Description | |---------|-------------| | `login` | Authenticate with Google | | `status` | Show auth and library status | | `accounts` | List all Google accounts | | `accounts add` | Add a new Google account | | `accounts switch <id>` | Switch active account (by index or email) | | `accounts remove <id>` | Remove an account | | `local` | List notebooks in local library | | `remote` | List all notebooks from NotebookLM API | | `create <name>` | Create a new notebook | | `delete [--id ID]` | Delete a notebook | | `rename <name> [--id ID]` | Rename a notebook | | `summary [--id ID]` | Get AI-generated summary | | `describe [--id ID]` | Get description and suggested topics | | `add <url-or-id>` | Add notebook to local library (auto-detects URL vs notebook ID) | | `activate <id>` | Set active notebook | ### Source Management | Command | Description | |---------|-------------| | `sources [--id ID]` | List sources in notebook | | `upload <file>` | Upload a single file | | `upload <folder>` | Sync a folder of files to NotebookLM | | `upload-zlib <url>` | Download from Z-Library and upload | | `upload-url <url>` | Add URL as source | | `upload-youtube <url>` | Add YouTube video as source | | `upload-text <title> [--content TEXT]` | Add text as source | | `source-text <source-id>` | Get full indexed text | | `source-guide <source-id>` | Get AI summary and keywords | | `source-rename <source-id> <name>` | Rename a source | | `source-refresh <source-id>` | Re-fetch URL content | | `source-delete <source-id>` | Delete a source | **Upload options:** - `--use-active` - Upload to the currently active notebook - `--create-new` - Create a new notebook named after the file/folder - `--notebook-id <id>` - Upload to a specific notebook - `--dry-run` - Show sync plan without executing (folder sync) - `--rebuild` - Force rebuild tracking file (folder sync) **Important:** When user runs upload without specifying a target, ASK them first: > "Would you like to upload to the active notebook, or create a new notebook?" Then pass the appropriate flag (`--use-active` or `--create-new`). ### Chat & Audio/Media | Command | Description | |---------|-------------| | `ask <question>` | Query NotebookLM | | `podcast [--instructions TEXT]` | Generate audio podcast | | `podcast-status <task-id>` | Check podcast generation status | | `podcast-download [output-path]` | Download latest podcast | | `briefing [--instructions TEXT]` | Generate brief audio summary | | `debate [--instructions TEXT]` | Generate debate-style audio | | `slides [--instructions TEXT]` | Generate slide deck | | `slides-download [output-path]` | Download slide deck as PDF | | `infographic [--instructions TEXT]` | Generate infographic | | `infographic-download [output-path]` | Download infographic | | `media-list [--type TYPE]` | List generated media (audio/video/slides/infographic) | | `media-delete <id>` | Delete a generated media item | ## Command Routing Based on `$ARGUMENTS`, execute the appropriate command: $IF($ARGUMENTS, Parse the command from: "$ARGUMENTS" **login** → `python scripts/run.py auth_manager.py setup --service google` **accounts** → `python scripts/run.py auth_manager.py accounts list` **accounts add** → `python scripts/run.py auth_manager.py accounts add` **accounts switch <id>** → `python scripts/run.py auth_manager.py accounts switch "<id>"` **accounts remove <id>** → `python scripts/run.py auth_manager.py accounts remove "<id>"` **status** → Run both: - `python scripts/run.py auth_manager.py status` - `python scripts/run.py notebook_manager.py list` **local** → `python scripts/run.py notebook_manager.py list` **remote** → `python scripts/run.py nblm_cli.py notebooks` **create <name>** → `python scripts/run.py nblm_cli.py create "<name>"` **delete [--id ID]** → `python scripts/run.py nblm_cli.py delete <args>` **rename <name> [--id ID]** → `python scripts/run.py nblm_cli.py rename "<name>" <args>` **summary [--id ID]** → `python scripts/run.py nblm_cli.py summary <args>` **describe [--id ID]** → `python scripts/run.py nblm_cli.py describe <args>` **add <url-or-id>** → Smart add workflow (auto-detects URL vs notebook ID) **activate <id>** → `python scripts/run.py notebook_manager.py activate --id "<id>"` **sources [--id ID]** → `python scripts/run.py nblm_cli.py sources <args>` **upload <file>** → First ASK user: "Upload to active notebook or create new?" Then: - Active: `python scripts/run.py source_manager.py add --file "<file>" --use-active` - New: `python scripts/run.py source_manager.py add --file "<file>" --create-new` **upload <folder>** → Sync a folder: - First ASK user: "Sync to active notebook, create new, or specify notebook?" - Active: `python scripts/run.py source_manager.py sync "<folder>" --use-active` - New: `python scripts/run.py source_manager.py sync "<folder>" --create-new` - Specific: `python scripts/run.py source_manager.py sync "<folder>" --notebook-id ID` - Dry-run: `python scripts/run.py source_manager.py sync "<folder>" --dry-run` - Rebuild: `python scripts/run.py source_manager.py sync "<folder>" --rebuild` **upload-zlib <url>** → First ASK user: "Upload to active notebook or create new?" Then: - Active: `python scripts/run.py source_manager.py add --url "<url>" --use-active` - New: `python scripts/run.py source_manager.py add --url "<url>" --create-new` **upload-url <url>** → `python scripts/run.py nblm_cli.py upload-url "<url>"` **upload-youtube <url>** → `python scripts/run.py nblm_cli.py upload-youtube "<url>"` **upload-text <title>** → `python scripts/run.py nblm_cli.py upload-text "<title>" <args>` **source-text <id>** → `python scripts/run.py nblm_cli.py source-text "<id>"` **source-guide <id>** → `python scripts/run.py nblm_cli.py source-guide "<id>"` **source-rename <id> <name>** → `python scripts/run.py nblm_cli.py source-rename "<id>" "<name>"` **source-refresh <id>** → `python scripts/run.py nblm_cli.py source-refresh "<id>"` **source-delete <id>** → `python scripts/run.py nblm_cli.py source-delete "<id>"` **ask <question>** → `python scripts/run.py nblm_cli.py ask "<question>"` **podcast** → `python scripts/run.py artifact_manager.py generate --format DEEP_DIVE <args>` **podcast-status <task-id>** → `python scripts/run.py artifact_manager.py status --task-id "<task-id>"` **podcast-download [output-path]** → `python scripts/run.py artifact_manager.py download "<output-path>"` **briefing** → `python scripts/run.py artifact_manager.py generate --format BRIEF <args>` **debate** → `python scripts/run.py artifact_manager.py generate --format DEBATE <args>` **slides** → `python scripts/run.py artifact_manager.py generate-slides <args>` **slides-download [output-path]** → `python scripts/run.py artifact_manager.py download "<output-path>" --type slide-deck` **infographic** → `python scripts/run.py artifact_manager.py generate-infographic <args>` **infographic-download [output-path]** → `python scripts/run.py artifact_manager.py download "<output-path>" --type infographic` **media-list [--type TYPE]** → `python scripts/run.py artifact_manager.py list <args>` **media-delete <id>** → `python scripts/run.py artifact_manager.py delete "<id>"` If command not recognized, show usage help., Show available commands with `/nblm` (no arguments) ) ## Podcast Options ``` /nblm podcast --length DEFAULT --wait --output ./podcast.mp3 /nblm podcast --instructions "Focus on the key findings" /nblm briefing --wait --output ./summary.mp3 /nblm debate --instructions "Compare the two approaches" ``` | Option | Values | |--------|--------| | `--length` | `SHORT`, `DEFAULT`, `LONG` | | `--instructions` | Custom instructions for the content | | `--wait` | Wait for generation to complete | | `--output` | Download path (requires `--wait`) | ## Slide Deck Options ``` /nblm slides --format DETAILED_DECK --wait --output ./presentation.pdf /nblm slides --instructions "Focus on key diagrams" --format PRESENTER_SLIDES ``` | Option | Values | |--------|--------| | `--format` | `DETAILED_DECK`, `PRESENTER_SLIDES` | | `--length` | `SHORT`, `DEFAULT` | | `--instructions` | Custom instructions for the content | | `--wait` | Wait for generation to complete | | `--output` | Download path (requires `--wait`) | ## Infographic Options ``` /nblm infographic --orientation LANDSCAPE --wait --output ./visual.png /nblm infographic --instructions "Highlight comparison" --detail-level DETAILED ``` | Option | Values | |--------|--------| | `--orientation` | `LANDSCAPE`, `PORTRAIT`, `SQUARE` | | `--detail-level` | `CONCISE`, `STANDARD`, `DETAILED` | | `--instructions` | Custom instructions for the content | | `--wait` | Wait for generation to complete | | `--output` | Download path (requires `--wait`) | ## Media Generation | Command | Description | Output | |---------|-------------|--------| | `/nblm podcast` | Deep-dive audio discussion | MP3 | | `/nblm briefing` | Brief audio summary | MP3 | | `/nblm debate` | Debate-style audio | MP3 | | `/nblm slides` | Slide deck presentation | PDF | | `/nblm infographic` | Visual infographic | PNG | ### Examples ``` /nblm podcast --wait --output ./deep-dive.mp3 /nblm briefing --instructions "Focus on chapter 3" --wait /nblm debate --length LONG --wait --output ./debate.mp3 /nblm slides --instructions "Include key diagrams" --format DETAILED_DECK --wait --output ./presentation.pdf /nblm infographic --orientation LANDSCAPE --detail-level DETAILED --wait --output ./summary.png ``` ### Download & Manage ``` /nblm podcast-download ./my-podcast.mp3 /nblm slides-download ./presentation.pdf /nblm infographic-download ./visual.png /nblm media-list # List all generated media /nblm media-list --type audio # List only audio /nblm media-delete <id> # Delete a media item ``` --- # Extended Documentation ## 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 The add command now **automatically discovers metadata** from the notebook: ```bash # Smart Add (auto-discovers name, description, topics) python scripts/run.py notebook_manager.py add <notebook-id-or-url> # With optional overrides python scripts/run.py notebook_manager.py add <id> --name "Custom Name" --topics "custom,topics" ``` **What Smart Add does:** 1. Fetches notebook title from NotebookLM API 2. Queries the notebook content to generate description and topics 3. Adds to local library with discovered metadata **Supported input formats:** - Notebook ID: [REDACTED_SECRET] - Full URL: `https://notebooklm.google.com/notebook/5fd9f36b-8000-401d-a7a0-7aa3f7832644` NEVER manually specify `--name`, `--description`, or `--topics` unless the user explicitly provides 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 ### Step 1: Check Authentication Status ```bash python scripts/run.py auth_manager.py status ``` If not authenticated, proceed to setup. ### Step 2: Authenticate (One-Time Setup) ```bash # Browser MUST be visible for manual Google login python scripts/run.py auth_manager.py setup ``` **Important:** - Browser is VISIBLE for authentication - Browser window opens automatically - User must manually log in to Google - Tell user: "A browser window will open for Google login" ### Step 3: Manage Notebook Library ```bash # List all notebooks python scripts/run.py notebook_manager.py list # BEFORE ADDING: Ask user for metadata if unknown! # "What does this notebook contain?" # "What topics should I tag it with?" # Add notebook to library (ALL parameters are REQUIRED!) python scripts/run.py notebook_manager.py add \ --url "https://notebooklm.google.com/notebook/..." \ --name "Descriptive Name" \ --description "What this notebook contains" \ # REQUIRED - ASK USER IF UNKNOWN! --topics "topic1,topic2,topic3" # REQUIRED - ASK USER IF UNKNOWN! # Search notebooks by topic python scripts/run.py notebook_manager.py search --query "keyword" # Set active notebook python scripts/run.py notebook_manager.py activate --id notebook-id # Remove notebook python scripts/run.py notebook_manager.py remove --id notebook-id ``` ### Quick Workflow 1. Check library: `python scripts/run.py notebook_manager.py list` 2. Ask question: `python scripts/run.py ask_question.py --question "..." --notebook-id 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://..." # Show browser for debugging python scripts/run.py ask_question.py --question "..." --show-browser ``` ## Follow-Up Mechanism (CRITICAL) Every NotebookLM answer ends with: **"EXTREMELY IMPORTANT: Is that ALL you need to know?"** **Required Claude 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: ```bash python scripts/run.py ask_question.py --question "Follow-up with context..." ``` 5. **REPEAT** - Continue until information is complete 6. **SYNTHESIZE** - Combine all answers before responding to user ## Z-Library Integration ### Triggers - User provides Z-Library URL (zlib.li, z-lib.org, zh.zlib.li) - User says "download this book to NotebookLM" - User says "add this book from Z-Library" ### Setup (One-Time) ```bash # Authenticate with Z-Library python scripts/run.py auth_manager.py setup --service zlibrary ``` ### Commands ```bash # Add book from Z-Library python scripts/run.py source_manager.py add --url "https://zh.zlib.li/book/..." # Check Z-Library auth status python scripts/run.py auth_manager.py status --service zlibrary ``` ## Script Reference ### Authentication Management (`auth_manager.py`) ```bash python scripts/run.py auth_manager.py setup # Default: Google python scripts/run.py auth_manager.py setup --service google python scripts/run.py auth_manager.py setup --service zlibrary python scripts/run.py auth_manager.py status # Show all services python scripts/run.py auth_manager.py status --service zlibrary python scripts/run.py auth_manager.py clear --service zlibrary # Clear auth # Multi-Account Management (Google) python scripts/run.py auth_manager.py accounts list # List all accounts python scripts/run.py auth_manager.py accounts add # Add new account python scripts/run.py auth_manager.py accounts switch 1 # Switch by index python scripts/run.py auth_manager.py accounts switch [REDACTED_SECRET] # Switch by email python scripts/run.py auth_manager.py accounts remove 2 # Remove account ``` ### Notebook Management (`notebook_manager.py`) ```bash python scripts/run.py notebook_manager.py add --url URL --name NAME --description DESC --topics TOPICS # OR use notebook ID directly: python scripts/run.py notebook_manager.py add --notebook-id ID --name NAME --description DESC --topics TOPICS python scripts/run.py notebook_manager.py list python scripts/run.py notebook_manager.py search --query QUERY python scripts/run.py notebook_manager.py activate --id ID python scripts/run.py notebook_manager.py remove --id ID python scripts/run.py notebook_manager.py stats ``` ### Question Interface (`ask_question.py`) ```bash python scripts/run.py ask_question.py --question "..." [--notebook-id ID] [--notebook-url URL] [--show-browser] ``` ### Source Manager (`source_manager.py`) ```bash # Upload to active notebook python scripts/run.py source_manager.py add --file "/path/to/book.pdf" --use-active # Create new notebook for upload python scripts/run.py source_manager.py add --file "/path/to/book.pdf" --create-new # Upload to specific notebook python scripts/run.py source_manager.py add --file "/path/to/book.pdf" --notebook-id NOTEBOOK_ID # Z-Library download and upload python scripts/run.py source_manager.py add --url "https://zh.zlib.li/book/..." --use-active python scripts/run.py source_manager.py add --url "https://zh.zlib.li/book/..." --create-new # Sync a folder (new!) python scripts/run.py source_manager.py sync "/path/to/docs" --use-active python scripts/run.py source_manager.py sync "/path/to/docs" --create-new python scripts/run.py source_manager.py sync "/path/to/docs" --notebook-id NOTEBOOK_ID # Sync options (new!) python scripts/run.py source_manager.py sync "/path/to/docs" --dry-run # Preview only python scripts/run.py source_manager.py sync "/path/to/docs" --rebuild # Force re-hash all files ``` **Folder Sync:** - Scans folder for supported types: PDF, TXT, MD, DOCX, HTML, EPUB - Tracks sync state internally (no per-folder tracking file to manage) - Sync strategy: add new, update modified (delete + re-upload), skip unchanged - Multi-account aware (tracks which Google account was used) **Note:** One of `--use-active`, `--create-new`, or `--notebook-id` is REQUIRED. Uploads wait for NotebookLM processing and print progress as `Ready: N/T`. Press Ctrl+C to stop waiting. Local file uploads use browser automation and require Google authentication. If browser automation is unavailable, set `NOTEBOOKLM_UPLOAD_MODE=text` to upload extracted text instead (PDFs require `pypdf`). ### Data Cleanup (`cleanup_manager.py`) ```bash python scripts/run.py cleanup_manager.py # Preview cleanup python scripts/run.py cleanup_manager.py --confirm # Execute cleanup python scripts/run.py cleanup_manager.py --preserve-library # Keep notebooks ``` ### Watchdog Status (`auth_manager.py`) ```bash python scripts/run.py auth_manager.py watchdog-status ``` ## Environment Management The virtual environment is automatically managed: - First run creates `.venv` automatically - Dependencies install automatically - Node.js dependencies install automatically - agent-browser daemon starts on demand and keeps browser state in memory - daemon stops after 10 minutes of inactivity (any agent-browser command resets the timer) - set `AGENT_BROWSER_OWNER_PID` to auto-stop when the agent process exits - `scripts/run.py` sets `AGENT_BROWSER_OWNER_PID` to its parent PID by default - Everything isolated in skill directory Manual setup (only if automatic fails): ```bash python -m venv .venv source .venv/bin/activate # Linux/Mac pip install -r requirements.txt npm install npm run install-browsers ``` ## Data Storage All data stored in `~/.claude/skills/notebooklm/data/`: - `library.json` - Notebook metadata (with account associations) - `auth/google/` - Multi-account Google auth - `index.json` - Account index (active account, list) - `<n>-<email>.json` - Per-account credentials - `auth/zlibrary.json` - Z-Library auth state - `agent_browser/session_id` - Current daemon session ID - `agent_browser/last_activity.json` - Last activity timestamp for idle shutdown - `agent_browser/watchdog.pid` - Idle watchdog process ID **Security:** Protected by `.gitignore`, never commit to git. ## Configuration Optional `.env` file in skill directory: ```env HEADLESS=false # Browser visibility SHOW_BROWSER=false # Default browser display STEALTH_ENABLED=true # Human-like behavior TYPING_WPM_MIN=160 # Typing speed TYPING_WPM_MAX=240 DEFAULT_NOTEBOOK_ID= # Default notebook ``` ## Decision Flow ``` User mentions NotebookLM ↓ Check auth → python scripts/run.py auth_manager.py status ↓ If not authenticated → python scripts/run.py auth_manager.py setup ↓ Check/Add notebook → python scripts/run.py notebook_manager.py list/add (with --description) ↓ Activate notebook → python scripts/run.py notebook_manager.py activate --id ID ↓ Ask question → python scripts/run.py ask_question.py --question "..." ↓ See "Is that ALL you need?" → Ask follow-ups until complete ↓ Synthesize and respond to user ``` ## Troubleshooting | Problem | Solution | |---------|----------| | ModuleNotFoundError | Use `run.py` wrapper | | Authentication fails | Browser must be visible for setup! --show-browser | | DAEMON_UNAVAILABLE | Ensure Node.js/npm installed, run `npm install`, retry | | AUTH_REQUIRED | Run `python scripts/run.py auth_manager.py setup` | | ELEMENT_NOT_FOUND | Verify notebook URL and re-run with fresh page load | | Rate limit (50/day) | Wait or add another Google account with `accounts add` | | Browser crashes | `python scripts/run.py cleanup_manager.py --preserve-library` | | Notebook not found | Check with `notebook_manager.py list` | ## Best Practices 1. **Always use run.py** - Handles environment automatically 2. **Check auth first** - Before any operations 3. **Follow-up questions** - Don't stop at first answer 4. **Browser visible for auth** - Required for manual login 5. **Include context** - Each question is independent 6. **Synthesize answers** - Combine multiple responses ## Limitations - No session persistence (each question = new browser) - Rate limits on free Google accounts (50 queries/day per account; use multiple accounts to increase) - Manual upload required (user must add docs to NotebookLM) - Browser overhead (few seconds per question) ## Resources (Skill Structure) **Important directories and files:** - `scripts/` - All automation scripts (ask_question.py, notebook_manager.py, etc.) - `data/` - Local storage for authentication and notebook library - `references/` - Extended documentation: - `api_reference.md` - Detailed API documentation for all scripts - `troubleshooting.md` - Common issues and solutions - `usage_patterns.md` - Best practices and workflow examples - `.venv/` - Isolated Python environment (auto-created on first run) - `.gitignore` - Protects sensitive data from being committed


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: suspicious | SkillSpector: suspicious (CRITICAL)