notebooklm-splitter

name	notebooklm-splitter
description	Skill to audit a large NotebookLM notebook and split its sources into multiple specialized notebooks based on identified themes.
license	Apache-2.0
metadata	{"version":"1.0","capabilities":["auditing","content-extraction","notebook-creation","specialization"]}

NotebookLM Splitter Skill

This skill allows an agent to decompose a heterogeneous "mega-notebook" into a set of specialized, high-signal notebooks.

Workflow

1. Source Inventory & Thematic Analysis

• Use notebook_get or browser to list all sources.
• Group sources by topic, format, or target audience.
• Define a "Taxonomy of Knowledge" for the notebook.

2. Specialized Blueprinting

• Propose a set of new notebooks. Each must have:
  • A clear, specific Title.
  • A defined Goal.
  • A list of sources to be moved/copied.

3. Execution (The Split)

• Create each specialized notebook using notebook_create.
• For each source in the group:
  • Extract text content via source_get_content.
  • Inject into the new notebook via notebook_add_text.
• Optional: Reference the original source URL if available via notebook_add_url.

4. Persona Tailoring

• For each new notebook, configure a custom persona (configure_chat) that focuses strictly on the specialized scope.

5. Final Audit

• Verfiy that the original notebook is now a "Master Index" or can be archived.
• Verify that each new notebook provides better retrieval quality than the original.

Best Practices

• Fragment Control: Don't split too thin. Aim for 10-30 high-quality sources per specialized notebook.
• Context Injection: When adding text sources, include a header indicating the original source name and date.
• Goal Alignment: The persona must be the "Subject Matter Expert" for that specific split.