notebooklm-py-skill#

Use this skill when the user asks to operate Google NotebookLM through the local notebooklm CLI: notebooks, sources, chat, research, notes, sharing, artifacts, or exports.

Core Rules#

1. Verify auth with notebooklm auth check --test --json before any workflow that depends on account access.
2. Prefer explicit notebook IDs ( -n NOTEBOOK_ID or --notebook NOTEBOOK_ID) in automation; avoid shared notebooklm use context in parallel workflows.
3. Prefer --json for commands whose output will be parsed, cited, or used as evidence.
4. Ask before destructive or long-running work: notebook delete, source delete/clean, artifact delete, generation, downloads, saved notes, and waits in the main conversation.
5. Put one-off prompt/source/output files under a temporary directory and clean them up unless the user asked to keep them.
6. Never run notebooklm doctor --fix without explicit confirmation.

Common Commands#

bash

notebooklm auth check --test --json
notebooklm list --json
notebooklm metadata -n NOTEBOOK_ID --json
notebooklm source list -n NOTEBOOK_ID --json
notebooklm source add "https://example.com" -n NOTEBOOK_ID --json
notebooklm source add ./file.pdf -n NOTEBOOK_ID --json
notebooklm source add - --type text --title "notes.md" -n NOTEBOOK_ID --json < /tmp/openclaw-attachments/notes.md
notebooklm ask "Question" -n NOTEBOOK_ID --json
notebooklm ask --prompt-file /tmp/openclaw-attachments/question.txt -n NOTEBOOK_ID --json
notebooklm artifact list -n NOTEBOOK_ID --json

Workflows#

Query A Notebook#

1. Run auth verification.
2. Locate the notebook with list --json, or use the provided ID/URL.
3. Ask with ask ... -n NOTEBOOK_ID --json.
4. If the answer is incomplete, ask focused follow-ups and synthesize.

Add Sources Then Query#

1. Create or identify the notebook.
2. Add URL/file/text sources with source add ... --json.
3. If the next step depends on indexing, wait for returned source IDs with source wait SOURCE_ID -n NOTEBOOK_ID --json.
4. Ask or generate only after required sources are ready.

References#

Load references/notebooklm-py-cli.md for command groups, 0.5.0 compatibility notes, artifact examples, and troubleshooting.