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supportersimulator
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using-multi-fleet

Coordinates distributed Claude Code sessions across machines with self-healing, 8-channel message delivery.

2|Updated Apr 5, 2026
Search Tags:#distributed-systems#workflow-automation#self-healing#peer-to-peer#fleet-coordination#cross-machine#multifleet
One-click install
npx skills add https://github.com/supportersimulator/multi-fleet --skill using-multi-fleet
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: using-multi-fleet
Source: https://github.com/supportersimulator/multi-fleet/tree/main/skills/using-multi-fleet
Command: npx skills add https://github.com/supportersimulator/multi-fleet --skill using-multi-fleet

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Multi-Fleet enables cross-machine coordination and fleet-wide visibility for distributed Claude Code sessions, reducing coordination overhead and single-node bottlenecks.

Core Features & Use Cases

  • Real-time cross-machine collaboration with a 3x3x3 model and role-based agents
  • Self-healing message delivery across multiple channels (P0-P7) to ensure delivery
  • Idle productivity and fleet-wide task orchestration for scalable workflows
  • Use Case: coordinate a mixed fleet of developers and AI agents to parallelize experiments and synthesize results

Quick Start

Install the Multi-Fleet plugin, configure your node identity, and start the daemon to join the fleet.

Frequently Asked Questions about using-multi-fleet

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

FAQPage Schema
How do I coordinate distributed Claude Code sessions across multiple machines?▼

Cross-machine fleet coordination is achieved through a production-grade protocol stack featuring an 8-channel message delivery system (P0-P7) and self-healing mechanisms to ensure messages reach their targets across distributed environments.

What is the best way to automate task routing for a mixed fleet of AI agents and developers?▼

Fleet-wide task orchestration uses a 3x3x3 model with role-based agents to parallelize experiments and synthesize results, enabling scalable workflows across developers and autonomous task agents.

How does self-healing message delivery work in peer-to-peer fleet coordination?▼

Self-healing fleet coordination uses an 8-channel message delivery system spanning priorities P0 through P7, automatically recovering failed message routes to guarantee delivery across the peer-to-peer network.

Do I need to configure node identity before starting cross-machine workflow automation?▼

Configuring node identity is a prerequisite for cross-machine workflow automation; you must install the plugin, define the node identity, and start the daemon to successfully join the distributed fleet.

Can I parallelize experiments using a 3x3x3 model for distributed systems?▼

The 3x3x3 model enables parallelized experiments by deploying role-based autonomous agents across the fleet, allowing distributed systems to concurrently execute tasks and synthesize collective results.

When do I need strict secrets handling in multi-fleet coordination?▼

Strict secrets handling is necessary during multi-fleet coordination to protect sensitive data as autonomous task agents and peer-to-peer channels communicate across the distributed system environment.

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