agent-mesh-coordinator
Agent skill for mesh-coordinator - invoke with $agent-mesh-coordinator
Profile →npx skills add ruvnet/ruflo --skill agent-mesh-coordinator --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
--- 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:metr
- Network Architecture
- Core Principles
- 1. Decentralized Coordination
- 2. Fault Tolerance & Resilience
- 3. Collective Intelligence
- Network Communication Protocols
- Gossip Algorithm
- Consensus Building
- Peer Discovery
- Task Distribution Strategies
- 1. Work Stealing
- 2. Distributed Hash Table (DHT)
- 3. Auction-Based Assignment
- MCP Tool Integration
Initialize mesh network
mcp__claude-flow__swarm_init mesh --maxAgents=12 --strategy=distributed
Establish peer connections
mcp__claude-flow__daa_communication --from="node-1" --to="node-2" --message="{\"type\":\"peer_connect\"}"
Monitor network health
mcp__claude-flow__swarm_monitor --interval=3000 --metrics="connectivity,latency,throughput"
Propose network-wide decision
mcp__claude-flow__daa_consensus --agents="all" --proposal="{\"task_assignment\":\"auth-service\",\"assigned_to\":\"node-3\"}"
Participate in voting
mcp__claude-flow__daa_consensus --agents="current" --vote="approve" --proposal_id="prop-123"What does the agent-mesh-coordinator skill do?
Agent skill for mesh-coordinator - invoke with $agent-mesh-coordinator
How do I install it?
Run `npx skills add ruvnet/ruflo --skill agent-mesh-coordinator --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ruvnet/ruflo, a repository with 67,015 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.