brain-join

Join existing Claude Brain networks by pulling and merging consolidated brain data.

78|18|Updated Mar 3, 2026
One-click install
npx skills add https://github.com/toroleapinc/claude-brain --skill brain-join
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: brain-join
Source: https://github.com/toroleapinc/claude-brain/tree/main/skills/brain-join
Command: npx skills add https://github.com/toroleapinc/claude-brain --skill brain-join

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires git, jq, python3, age.

What problem does it solve?

Join an existing Claude Brain network from another machine. It pulls the consolidated brain and merges it with your local state.

Core Features & Use Cases

  • Join remote brain networks: pull consolidated mental models and merge with local data.
  • Encryption-aware onboarding: supports optional age-based encryption for secure joins.
  • Machine registration & auto-sync: registers the new machine and enables auto-sync on session start/end.

Quick Start

Provide the remote Git URL to join the brain network and begin auto-sync.

Frequently Asked Questions about brain-join

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

FAQPage Schema
How do I sync my local Claude Brain state with a consolidated brain from a remote machine?

You can join a remote brain network by providing the remote Git URL to pull the consolidated brain state. The tool validates the remote URL, exports your local snapshot, and uses git-based operations to merge the remote brain with your local state.

What is the best way to migrate a shared brain network to a new machine?

The best way to migrate a brain network to a new machine is to pull the consolidated remote brain via Git and merge it with your local state. This process registers the new machine in the network and enables automatic synchronization on session boundaries.

Do I need age encryption to securely join a remote brain network?

No, age-based encryption is optional for securely joining a remote brain network. However, enabling encryption-aware onboarding ensures that your consolidated mental models and local snapshots remain protected during Git synchronization across machines.

Can I use python3 and jq to automate Git merges for brain synchronization?

Yes, python3 and jq are required dependencies used to process exported local snapshots and consolidate brain data during Git merge operations. They enable automated parsing and state integration when synchronizing your brain network across machines.

When should I not use a Git-based brain merge to integrate a new machine?

You should avoid Git-based brain merges if the remote URL cannot be validated or if your local state cannot be cleanly exported into a snapshot. Complex merge conflicts that exceed automated Git resolution capabilities also require manual intervention before synchronizing machines.