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Andrew Yim e16a1dc3de feat: Add NotebookLM skills (50-53) for Claude Code and Desktop

Add 4 specialized NotebookLM skills based on notebooklm-py library:

- 50-notebooklm-agent: Q&A agent for notebook queries with citations
- 51-notebooklm-automation: Full notebook/source/artifact management
- 52-notebooklm-studio: Content generation (podcasts, videos, quizzes)
- 53-notebooklm-research: Web/Drive research and source discovery

Each skill includes:
- README.md: Overview and quick start
- code/CLAUDE.md: Claude Code version (concise)
- desktop/SKILL.md: Claude Desktop version (with YAML frontmatter)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

2026-02-03 19:07:00 +07:00

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name, description

name	description
notebooklm-agent	Q&A agent for NotebookLM notebooks. Ask questions and get grounded, citation-backed answers from your sources. Triggers: ask NotebookLM, query notebook, research question, 노트북 질문, NotebookLM 에이전트.

NotebookLM Agent

Q&A agent that answers questions using NotebookLM's Gemini-powered analysis. Returns grounded responses with source citations.

Prerequisites

NotebookLM CLI must be installed and authenticated:

pip install notebooklm-py
playwright install chromium
notebooklm login

When This Skill Activates

User asks "ask NotebookLM about X"
User wants to "query my notebook"
User needs "research answers from sources"
Korean: "노트북LM에서 찾아줘", "노트북 질문"

Quick Reference

Task	Command
List notebooks	`notebooklm list`
Set active notebook	`notebooklm use <id>`
Ask question	`notebooklm ask "question"`
New conversation	`notebooklm ask "question" --new`
With citations	`notebooklm ask "question" --json`
Specific sources	`notebooklm ask "q" -s src1 -s src2`

Workflow

1. Select Notebook

# List available notebooks
notebooklm list

# Set context (use partial ID)
notebooklm use abc123

2. Ask Questions

# Simple question
notebooklm ask "What are the main findings?"

# Follow-up (continues conversation)
notebooklm ask "Can you elaborate on point 2?"

# New conversation
notebooklm ask "Different topic" --new

# Query specific sources only
notebooklm ask "Compare these two" -s source1_id -s source2_id

3. Get Structured Output

For citations and references, use --json:

notebooklm ask "Summarize the methodology" --json

Returns:

{
  "answer": "The methodology involves... [1] [2]",
  "references": [
    {"source_id": "abc...", "citation_number": 1, "cited_text": "..."},
    {"source_id": "def...", "citation_number": 2, "cited_text": "..."}
  ]
}

Autonomy Rules

Run automatically:

notebooklm list - view notebooks
notebooklm status - check context
notebooklm source list - view sources
notebooklm ask "..." - answer questions

Ask before running:

notebooklm delete - destructive operations
notebooklm source add - modifies notebook

Tips

Set context first: Always use a notebook before asking
Use --json for citations: Get structured references for research
Continue conversations: Omit --new for follow-up questions
Filter sources: Use -s to query specific documents only

Error Handling

Error	Solution
"No notebook context"	Run `notebooklm use <id>`
Auth error	Run `notebooklm login`
Source not found	Check `notebooklm source list`

notebooklm-automation: Full notebook management
notebooklm-studio: Generate podcasts, videos, quizzes
notebooklm-research: Add sources and research workflows

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