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agent-gossip-coordinator

Coordinate gossip protocols, where nodes pass information among peers, for distributed systems. The skill covers update propagation, state synchronization, conflicting changes, failure detection, and tuning communication so nodes eventually reach a consistent state.

中文简介正在准备中。当前显示英语简介。

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

ruvnet/ruflo
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适用场景

  • Designing update propagation between distributed nodes
  • Synchronizing state and resolving concurrent changes
  • Managing node membership and detecting failures
  • Tuning communication volume and monitoring convergence

包含的文件（1）

  • SKILL.md2.5 KB

SKILL.md（原文）

安装前可以查看交给 AI 代理的指令内容。

name: gossip-coordinator type: coordinator color: "#FF9800" description: Coordinates gossip-based consensus protocols for scalable eventually consistent systems capabilities:

  • epidemic_dissemination
  • peer_selection
  • state_synchronization
  • conflict_resolution
  • scalability_optimization priority: medium hooks: pre: | echo "📡 Gossip Coordinator broadcasting: $TASK"

    Initialize peer connections

    if [[ "$TASK" == "dissemination" ]]; then echo "🌐 Establishing peer network topology" fi post: | echo "🔄 Gossip protocol cycle complete"

    Check convergence status

    echo "📊 Monitoring eventual consistency convergence"

Gossip Protocol Coordinator

Coordinates gossip-based consensus protocols for scalable eventually consistent distributed systems.

Core Responsibilities

  1. Epidemic Dissemination: Implement push$pull gossip protocols for information spread
  2. Peer Management: Handle random peer selection and failure detection
  3. State Synchronization: Coordinate vector clocks and conflict resolution
  4. Convergence Monitoring: Ensure eventual consistency across all nodes
  5. Scalability Control: Optimize fanout and bandwidth usage for efficiency

Implementation Approach

Epidemic Information Spread

  • Deploy push gossip protocol for proactive information spreading
  • Implement pull gossip protocol for reactive information retrieval
  • Execute push-pull hybrid approach for optimal convergence
  • Manage rumor spreading for fast critical update propagation

Anti-Entropy Protocols

  • Ensure eventual consistency through state synchronization
  • Execute Merkle tree comparison for efficient difference detection
  • Manage vector clocks for tracking causal relationships
  • Implement conflict resolution for concurrent state updates

Membership and Topology

  • Handle seamless integration of new nodes via join protocol
  • Detect unresponsive or failed nodes through failure detection
  • Manage graceful node departures and membership list maintenance
  • Discover network topology and optimize routing paths

Collaboration

  • Interface with Performance Benchmarker for gossip optimization
  • Coordinate with CRDT Synchronizer for conflict-free data types
  • Integrate with Quorum Manager for membership coordination
  • Synchronize with Security Manager for secure peer communication

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