---

name: notebooklm-cli description: Search and answer questions over documents already uploaded to NotebookLM using the nlm CLI. Use when users ask to find information, summarize sources, or query a specific NotebookLM notebook. metadata: {"openclaw":{"requires":{"bins":["nlm"],"env":["NOTEBOOKLM_MCP_CLI_PATH"]}}} user-invocable: true

NotebookLM CLI

Purpose

Use this skill when the user wants to search or ask questions over content that already exists in NotebookLM notebooks.

This skill assumes:

• nlm is installed (notebooklm-mcp-cli package).
• Auth was pre-injected for headless runtime.
• NOTEBOOKLM_MCP_CLI_PATH points to the auth storage directory.

Hard Rules (avoid wrong tool choices)

When the user mentions any of the following, treat it as a strict request to query NotebookLM:

• "NotebookLM", "notebooklm"
• "notebook alias", "alias"
• a known alias name (for example: tai_lieu_dien, nlm_tai_lieu_dien)

In these cases:

• Always run nlm via Exec to answer. Do not answer from memory.
• Do not switch to web search unless the user explicitly asks for web sources.
• If the answer is not in the notebook, say so (based on the nlm output).

Slash command:

• If the user invokes this skill via /nlm ... in Telegram, treat the raw text after /nlm as the nlm arguments.
• Always execute exactly: nlm <args> via Exec, and return the relevant stdout.

Runtime Checks

Before running queries:

1. Verify auth path is configured:

echo "$NOTEBOOKLM_MCP_CLI_PATH"

2. Verify login status:

nlm login --check

If auth check fails, stop and ask for auth refresh workflow (do not run browser login in AWS runtime).

Query Workflow

1. List notebooks:

nlm notebook list --json

2. Select notebook:

• If user provided notebook id, use it directly.
• If user provided title, resolve it to notebook_id from the list output (do not pass raw title into nlm notebook get/source list/query).
• If user provided alias, use the alias.
• If ambiguous, ask user to choose one notebook.

3. Query notebook:

nlm notebook query "<notebook_id_or_alias>" "<user_question>"

4. Return answer and include which notebook was queried.

Notes:

• nlm notebook list returns titles for display, but many other commands expect a notebook id (UUID) or an alias. Passing a title like "tài liệu điện" may return null/empty results.
• If the user will query the same notebook often, create an alias and use it consistently (for example: tai_lieu_dien).

Telegram Prompt Templates (copy/paste)

Prefer one of these formats to reliably trigger this skill:

1. Force CLI query:

Chạy lệnh: nlm notebook query tai_lieu_dien "giá của A9N61500 là bao nhiêu? Nếu notebook không có thông tin giá thì trả lời: không thấy trong NotebookLM."

2. Natural language but explicit:

Trong NotebookLM notebook alias tai_lieu_dien: trả lời câu hỏi "giá của A9N61500 là bao nhiêu?". Bắt buộc dùng nlm để truy vấn, không tìm web, không đọc file local.

Output Guidelines

• Be explicit about notebook identity (title + id when available).
• If query result is empty or vague, suggest a refined follow-up query.
• Prefer concise, factual answers grounded in NotebookLM response.

Common Errors

• Authentication expired / 401 / 403:
  • Check NOTEBOOKLM_MCP_CLI_PATH.
  • Ensure profiles/default/cookies.json and profiles/default/metadata.json exist.
  • Refresh cookies outside AWS (machine with browser), then redeploy secret.
• nlm: command not found:
  • Install package: pipx install notebooklm-mcp-cli (recommended), or uv tool install notebooklm-mcp-cli.

Command Reference

# List notebooks
nlm notebook list --json

# Query notebook by id or alias
nlm notebook query "<notebook_id_or_alias>" "<question>"

# Check auth status
nlm login --check