Use Case
Stop doing repetitive documents & notes tasks manually. Three Layer Memory + LanceDB Pro lets your AI agent handle them automatically through natural conversation. Three-tier memory system + LanceDB Pro integrated version. Automatic management of hot/warm/cold memory, combined with real-time vector database extraction and structured scheduling maintenance. Micro Sync (scan sessions 5 times a day to record decisions + review autoCapture), Daily Wrap Up (structured summary every early morning), Weekly Compound (weekly memory fat reduction + distillation + vector cleaning). Contains... This guide shows practical examples of using Three Layer Memory + LanceDB Pro to automate common documents & notes workflows and save hours every week.
Install Three Layer Memory + LanceDB Pro: npx clawhub@latest --dir ~/.claude/skills install three-layer-memory
Identify the repetitive documents & notes tasks you want to automate
Describe the task to your AI in plain English
Three Layer Memory + LanceDB Pro 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 Three Layer Memory + LanceDB Pro
Automate my documents & notes tasks using Three Layer Memory + LanceDB Pro
What repetitive tasks can Three Layer Memory + LanceDB Pro handle for me?
Set up a workflow that runs Three Layer Memory + LanceDB Pro every morning
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install three-layer-memoryOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install three-layer-memoryβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
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/three-layer-memory/π‘Extract and place the folder at the path above, then restart your agent.