Use Case
Stop doing repetitive documents & notes tasks manually. BOOK BRAIN – LYGO 3-Brain Filesystem Helper lets your AI agent handle them automatically through natural conversation. 3-brain filesystem + memory reference utility for LYGO-based agents. Use to design, organize, and maintain a durable file/folder memory system (indexes, reference .txt links, logging, retrieval) without overwriting existing data. Works best on fresh OpenClaw/Clawhub Havens with the full LYGO Champion stack, but is compatible with any agent that can read/write files. This guide shows practical examples of using BOOK BRAIN – LYGO 3-Brain Filesystem Helper to automate common documents & notes workflows and save hours every week.
Install BOOK BRAIN – LYGO 3-Brain Filesystem Helper: npx clawhub@latest --dir ~/.claude/skills install book-brain
Identify the repetitive documents & notes tasks you want to automate
Describe the task to your AI in plain English
BOOK BRAIN – LYGO 3-Brain Filesystem Helper will execute the task and return results directly in the chat
Chain multiple tasks: ask your AI to run a sequence of operations
Copy these prompts and use them with your AI agent after installing BOOK BRAIN – LYGO 3-Brain Filesystem Helper
Automate my documents & notes tasks using BOOK BRAIN – LYGO 3-Brain Filesystem Helper
What repetitive tasks can BOOK BRAIN – LYGO 3-Brain Filesystem Helper handle for me?
Set up a workflow that runs BOOK BRAIN – LYGO 3-Brain Filesystem Helper every morning
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install book-brainOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install book-brain⚠️ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js →
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/book-brain/💡Extract and place the folder at the path above, then restart your agent.