Cross-Brain Messaging

Transfers messages and data between AI agents via a shared file-based inbox system.

Updated Feb 8, 2026
One-click install
npx skills add https://github.com/dundas/uhr --skill cross-brain-messaging
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Cross-Brain Messaging
Source: https://github.com/dundas/uhr/tree/main/.claude/skills/cross-brain-message
Command: npx skills add https://github.com/dundas/uhr --skill cross-brain-messaging

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill enables different AI agents (or "brains") running in separate repositories to communicate with each other, facilitating collaboration and task delegation.

Core Features & Use Cases

  • Inter-Agent Communication: Send and receive messages, bug reports, fix deployments, and API capability queries between agents.
  • Workflow Coordination: Coordinate actions across different services or repositories without direct human intervention.
  • Use Case: If one agent discovers a bug in another agent's service, it can send a bug_report message directly, detailing the issue and potential fixes, ensuring faster resolution.

Quick Start

Check your agent's message inbox by running the command to check your inbox.

Frequently Asked Questions about Cross-Brain Messaging

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

FAQPage Schema
How do I facilitate asynchronous communication between distinct AI agents?

Asynchronous communication between distinct AI agents is facilitated using a file-based inbox system. This leverages a JSON-based message structure stored in a shared directory for message persistence and retrieval.

What is the best way to coordinate workflow and task delegation across distributed systems?

Workflow coordination across distributed systems is handled by sending and receiving various message types, including bug reports and fix deployments, between agents running in separate repositories without direct human intervention.

How do I send a bug report from one AI agent to another in an inter-service collaboration?

To send a bug report in an inter-service collaboration, an agent can send a `bug_report` message directly to another agent's inbox, detailing the issue and potential fixes to ensure faster resolution.

Can I use a file-based inbox system for inter-service API capability queries?

Yes, you can use a file-based inbox system for inter-service API capability queries. The system supports various message types, including API capability queries, stored as JSON structures in a shared directory.

Do I need external dependencies to implement agent communication across separate repositories?

No external dependencies are required to implement agent communication across separate repositories. The system relies entirely on a JSON-based message structure persisted in a shared directory.

How do I check my agent's message inbox for asynchronous workflow coordination?

To check your agent's message inbox for asynchronous workflow coordination, run the provided inbox checking command to retrieve persisted JSON messages from the shared directory.