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Skill v1.0.0

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yysun/awesome-agent-world/notebooklm
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PublishedOctober 21, 2026 at 09:42 PM
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version: "1.0.0" name: notebooklm description: Use this skill for NotebookLM tasks to create notebooks, add sources, query content, and generate artifacts through the NotebookLM CLI.


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

bash
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)

json
{"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.
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