cm-notebooklm

Synchronize CodyMaster knowledge across devices via NotebookLM CLI.

48|23|Updated Mar 17, 2026
One-click install
npx skills add https://github.com/tody-agent/codymaster --skill cm-notebooklm
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cm-notebooklm
Source: https://github.com/tody-agent/codymaster/tree/main/skills/cm-notebooklm
Command: npx skills add https://github.com/tody-agent/codymaster --skill cm-notebooklm

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

CodyMaster NotebookLM stores and syncs valuable knowledge (skills, lessons, coding experiences, and key decisions) across machines, enabling a consistent AI memory and recall.

Core Features & Use Cases

  • LOCAL vs CLOUD memory to scale knowledge across devices and projects.
  • Auto-sync of high-value content to NotebookLM for cross-machine recall and quick access.
  • Selective indexing to keep the brain lean and fast, avoiding unnecessary data.

Quick Start

Install the NotebookLM CLI, initialize the local brain, and run a sync to upload your knowledge.

Frequently Asked Questions about cm-notebooklm

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I sync AI project context and memory across multiple machines?

To sync AI project context across machines, you can store and synchronize core knowledge like skills and decisions using a cloud knowledge base. This enables consistent cross-machine recall by automatically syncing high-value local content to the cloud.

How does selective indexing work for a cross-machine AI knowledge base?

Selective indexing for an AI knowledge base works by filtering and uploading only high-value content to the cloud. This keeps the compiled local brain lean and fast, avoiding unnecessary data synchronization while ensuring efficient cross-machine querying.

Do I need NotebookLM access to sync a local knowledge base across devices?

Yes, you need NotebookLM access via the CLI to sync a local knowledge base across devices. The system compiles a local brain file and uses specific scripts to apply automatic syncing and selective indexing for cross-machine recall.

What is the best way to manage centralized AI memory for multi-device projects?

The best way to manage centralized AI memory for multi-device projects is separating local and cloud storage. By automatically syncing high-value project context and decisions to a cloud knowledge base, you achieve consistent cross-machine recall and quick querying.

Can I keep a local brain file while using cloud knowledge management for AI?

Yes, you can maintain a local brain file while using cloud knowledge management. The system compiles a local brain file containing your skills and experiences, then selectively auto-syncs only high-value content to the cloud for privacy and efficiency.

Why does my local brain avoid syncing unnecessary data to the cloud?

Your local brain avoids syncing unnecessary data to apply selective indexing and maintain efficiency. By distinguishing between local and cloud memory, it ensures only high-value knowledge is uploaded, keeping the brain lean and fast for cross-machine recall.