yysun/awesome-agent-world/notebooklm

NotebookLM Skill

When to use

Use this skill when the user asks to:

• create/manage NotebookLM notebooks
• add URLs/files/YouTube sources
• summarize or query notebook content
• generate/download NotebookLM artifacts

Runtime rules (required)

1. Always use shell_cmd with tokenized arguments:

• command must be one executable token ("notebooklm")
• pass all flags/args in parameters
• never pass a full command line string in command

1. Prefer structured output whenever IDs are needed:

• use --json for create, list, and other parse-sensitive steps.

1. Do not invent IDs or titles:

• use values only from the most recent successful tool result.
• if a reported ID conflicts with tool output, correct it immediately.

1. Before any notebook-scoped command, establish context:

• notebooklm use <notebook_id> immediately after create/select.
• if available, also pass explicit notebook flag (--notebook <id> / -n <id>).

1. If output says No notebook specified, run notebooklm use <id> and retry once.

1. If auth errors occur, run:

• notebooklm auth check
• notebooklm login if needed.

Tool loop contract (required)

• If there are pending sources to add, the assistant MUST emit exactly one shell_cmd tool call in each continuation turn.
• Do not emit progress-only narration between source-add steps.
• Plain-text-only turns are allowed only when:
• all planned source-add steps are complete (final summary), or
• there is a blocker/error that prevents the next tool call.

Forbidden pattern:

• I added one source. Now adding the next. without a tool_calls action in the same turn.

Continuation guard (important)

• Do not end with narration-only future intent unless a real tool_calls action is emitted in the same assistant turn.
• If no tool call can be emitted yet, state the blocker explicitly instead of promising the next step.

Canonical command patterns

notebooklm list --json
notebooklm create "<title>" --json
notebooklm use <notebook_id>
notebooklm source add "<url-or-path>"
notebooklm source list --json
notebooklm ask "<question>" --json

shell_cmd call shape (must follow)

{"command":"notebooklm","parameters":["create","Agent Skills Research","--json"]}

Required workflow: create notebook and add sources

1. Run notebooklm create "<title>" --json.
2. Parse notebook ID from tool output (notebook.id or top-level id).
3. Run notebooklm use <id>.
4. Add each source with notebooklm source add <url-or-path> --notebook <id>.
5. For multiple sources, keep the tool loop active and emit the next add call immediately after each successful result.
6. Optionally verify using notebooklm source list --json.
7. Report concise results (notebook id, successful adds, failures).

Safety

• Ask before destructive operations (delete) or expensive long-running generation when user intent is unclear.
• Do not claim success unless confirmed by tool output.