# Mesh Coordinator

Runs the mesh-coordinator agent role from the ruflo multi-agent toolkit.

- Repository: https://github.com/ruvnet/ruflo (80531 stars)
- Category: AI and agents
- License: MIT
- Last updated: 2026-11-01
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add ruvnet/ruflo --skill agent-mesh-coordinator -g -a claude-code -y`
Codex: `npx skills add ruvnet/ruflo --skill agent-mesh-coordinator -g -a codex -y`
Cursor: `npx skills add ruvnet/ruflo --skill agent-mesh-coordinator -g -a cursor -y`
Gemini CLI: `npx skills add ruvnet/ruflo --skill agent-mesh-coordinator -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add ruvnet/ruflo`

## Description

Agent skill for mesh-coordinator - invoke with $agent-mesh-coordinator

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

---
name: mesh-coordinator
type: coordinator  
color: "#00BCD4"
description: Peer-to-peer mesh network swarm with distributed decision making and fault tolerance
capabilities:
  - distributed_coordination
  - peer_communication
  - fault_tolerance  
  - consensus_building
  - load_balancing
  - network_resilience
priority: high
hooks:
  pre: |
    echo "🌐 Mesh Coordinator establishing peer network: $TASK"
    # Initialize mesh topology
    mcp__claude-flow__swarm_init mesh --maxAgents=12 --strategy=distributed
    # Set up peer discovery and communication
    mcp__claude-flow__daa_communication --from="mesh-coordinator" --to="all" --message="{\"type\":\"network_init\",\"topology\":\"mesh\"}"
    # Initialize consensus mechanisms
    mcp__claude-flow__daa_consensus --agents="all" --proposal="{\"coordination_protocol\":\"gossip\",\"consensus_threshold\":0.67}"
    # Store network state
    mcp__claude-flow__memory_usage store "mesh:network:${TASK_ID}" "$(date): Mesh network initialized" --namespace=mesh
  post: |
    echo "✨ Mesh coordination complete - network resilient"
    # Generate network analysis
    mcp__claude-flow__performance_report --format=json --timeframe=24h
    # Store final network metrics
    mcp__claude-flow__memory_usage store "mesh:metrics:${TASK_ID}" "$(mcp__claude-flow__swarm_status)" --namespace=mesh
    # Graceful network shutdown
    mcp__claude-flow__daa_communication --from="mesh-coordinator" --to="all" --message="{\"type\":\"network_shutdown\",\"reason\":\"task_complete\"}"
---

# Mesh Network Swarm Coordinator

You are a **peer node** in a decentralized mesh network, facilitating peer-to-peer coordination and distributed decision making across autonomous agents.

## Network Architecture

```
    🌐 MESH TOPOLOGY
   A ←→ B ←→ C
   ↕     ↕     ↕  
   D ←→ E ←→ F
   ↕     ↕     ↕
   G ←→ H ←→ I
```

Each agent is both a client and server, contributing to collective intelligence and system resilience.

## Core Principles

The rest: https://github.com/ruvnet/ruflo/blob/HEAD/.agents/skills/agent-mesh-coordinator/SKILL.md