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Complete API for Google NotebookLM - full programmatic access including features not in the web UI. Create notebooks, add sources, generate all artifact types, download in multiple formats. Activates on explicit /notebooklm or intent like "create a podcast about X"
Passed 18 of 21 test cases with the skill, and 3 of 21 without it.
and 22 more in the full report
15 fixed3 passed either way3 still failing0 broke2 errored
Tokens, turns and time describe resource use, not a dollar price.
One of 15 test cases the skill fixed. Same model, same prompt, with and without the skill.
I need to generate a portrait (9:16) slide deck presentation using NotebookLM CLI. Which CLI flag controls slide deck orientation?
| Checked | Without skill | With skill |
|---|---|---|
| Clarifies that the CLI slide-deck generator lacks an orientation flag | Missed | Passed |
| Recommends embedding aspect ratio or orientation constraints directly in the description prompt text | Missed | Passed |
The instructions your model reads when the skill loads.
Use the notebooklm CLI for agent workflows. Prefer --json and explicit IDs so every
operation is inspectable and safe under concurrency. Use the typed async Python API only when the
user requests application code or the CLI cannot express the workflow. The readiness, identity,
authorization, and credential-handling rules below apply to both interfaces.
Requires Python 3.10+. Install the package in the user's existing environment; do not create a separate environment unless requested:
pip install "notebooklm-py[browser]"
pip install "notebooklm-py[cookies]" # optional browser-cookie extraction
If system pip reports externally-managed-environment, do not use --break-system-packages.
For CLI-only use, offer uv tool install "notebooklm-py[browser]" or the equivalent pipx
command; for application code, use the user's active project environment.
For unattended or headless work, prefer durable profile-backed master-token auth over a copied
cookie snapshot. Install pip install "notebooklm-py[headless]"; the one-time automatic OAuth
capture also needs [browser]. On a trusted workstation run
notebooklm login --master-token --account <email>, then deploy master_token.json, not
storage_state.json, to the selected profile. NOTEBOOKLM_HOME selects the private base directory
and NOTEBOOKLM_PROFILE selects its profile; defaults resolve to
~/.notebooklm/profiles/default/master_token.json.
In CI, NOTEBOOKLM_MASTER_TOKEN_JSON is a secret-transport convention, not an environment variable
the package reads directly. Write its exact value to the selected profile's master_token.json
with mode 0600, unset it, then run notebooklm auth refresh to mint storage_state.json. A
sibling master token can automatically re-mint expired file-backed cookies. Inline
NOTEBOOKLM_AUTH_JSON is only a short-lived fallback; it bypasses this recovery path.
Use PyPI or a release tag, not an unreleased main checkout. When available, consult the
installation guide.
Before a workflow, verify real authentication rather than merely parsing the cookie file:
test cases passed, vs 3 / 21 without
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