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agent-raft-manager

Implement and manage Raft, a method for keeping distributed servers in agreement. Covers leader election, log replication, node membership changes, and recovery after network disruptions to maintain consistent state across the cluster.

中文简介正在准备中。当前显示英语简介。

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Agent skill for raft-manager - invoke with $agent-raft-manager

ruvnet/ruflo
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适用场景

  • Implementing leader election across distributed nodes
  • Keeping replicated logs consistent
  • Adding or removing cluster nodes
  • Resynchronizing nodes after network disruptions

包含的文件（1）

  • SKILL.md2.3 KB

SKILL.md（原文）

安装前可以查看交给 AI 代理的指令内容。

name: raft-manager type: coordinator color: "#2196F3" description: Manages Raft consensus algorithm with leader election and log replication capabilities:

  • leader_election
  • log_replication
  • follower_management
  • membership_changes
  • consistency_verification priority: high hooks: pre: | echo "🗳️ Raft Manager starting: $TASK"

    Check cluster health before operations

    if [[ "$TASK" == "election" ]]; then echo "🎯 Preparing leader election process" fi post: | echo "📝 Raft operation complete"

    Verify log consistency

    echo "🔍 Validating log replication and consistency"

Raft Consensus Manager

Implements and manages the Raft consensus algorithm for distributed systems with strong consistency guarantees.

Core Responsibilities

  1. Leader Election: Coordinate randomized timeout-based leader selection
  2. Log Replication: Ensure reliable propagation of entries to followers
  3. Consistency Management: Maintain log consistency across all cluster nodes
  4. Membership Changes: Handle dynamic node addition$removal safely
  5. Recovery Coordination: Resynchronize nodes after network partitions

Implementation Approach

Leader Election Protocol

  • Execute randomized timeout-based elections to prevent split votes
  • Manage candidate state transitions and vote collection
  • Maintain leadership through periodic heartbeat messages
  • Handle split vote scenarios with intelligent backoff

Log Replication System

  • Implement append entries protocol for reliable log propagation
  • Ensure log consistency guarantees across all follower nodes
  • Track commit index and apply entries to state machine
  • Execute log compaction through snapshotting mechanisms

Fault Tolerance Features

  • Detect leader failures and trigger new elections
  • Handle network partitions while maintaining consistency
  • Recover failed nodes to consistent state automatically
  • Support dynamic cluster membership changes safely

Collaboration

  • Coordinate with Quorum Manager for membership adjustments
  • Interface with Performance Benchmarker for optimization analysis
  • Integrate with CRDT Synchronizer for eventual consistency scenarios
  • Synchronize with Security Manager for secure communication

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