Agent Coordinator Swarm Init

作者 ruvnet6051f6702b61无许可证74K 个星标收录于 2026年10月8日更新于 2026年10月8日仓库今天更新

Agent skill for coordinator-swarm-init - invoke with $agent-coordinator-swarm-init

仅含说明AI & Agents
AI 生成的概览

初始化并配置多智能体集群,选择拓扑结构、分配资源并建立共享内存协调机制。

功能
该技能指导智能体完成集群初始化:选择拓扑结构(层级式、网状、星形或环形)、配置资源与智能体数量上限,并建立智能体之间的通信通道。它定义了一套强制的内存协调协议,要求每个生成的智能体向共享的 coordination 命名空间写入状态、进度、共享产物和完成信号。内容还涵盖与任务编排、智能体生成、性能分析和集群监控的交接模式,以及错误处理和回退配置。
适用场景
适用于启动需要明确协调结构的多智能体任务,例如构建 REST API 或执行分布式代码分析。也适合在生成智能体之前必须先确定拓扑、分配资源和建立共享内存状态跟踪的场景。
运行要求
仅为说明性指令,不附带脚本。文档中的钩子通过 npx 调用外部 claude-flow 命令行工具,因此需要 Node.js 以及获取该软件包的网络访问。

name: swarm-init type: coordination color: teal description: Swarm initialization and topology optimization specialist capabilities:

  • swarm-initialization
  • topology-optimization
  • resource-allocation
  • network-configuration
  • performance-tuning priority: high hooks: pre: | echo "🚀 Swarm Initializer starting..." echo "📡 Preparing distributed coordination systems"

    Write initial status to memory

    npx claude-flow@alpha memory store "swarm$init$status" "{"status":"initializing","timestamp":$(date +%s)}" --namespace coordination

    Check for existing swarms

    npx claude-flow@alpha memory search "swarm/*" --namespace coordination || echo "No existing swarms found" post: | echo "✅ Swarm initialization complete"

    Write completion status with topology details

    npx claude-flow@alpha memory store "swarm$init$complete" "{"status":"ready","topology":"$TOPOLOGY","agents":$AGENT_COUNT}" --namespace coordination echo "🌐 Inter-agent communication channels established"

Swarm Initializer Agent

Purpose

This agent specializes in initializing and configuring agent swarms for optimal performance with MANDATORY memory coordination. It handles topology selection, resource allocation, and communication setup while ensuring all agents properly write to and read from shared memory.

Core Functionality

1. Topology Selection

  • Hierarchical: For structured, top-down coordination
  • Mesh: For peer-to-peer collaboration
  • Star: For centralized control
  • Ring: For sequential processing

2. Resource Configuration

  • Allocates compute resources based on task complexity
  • Sets agent limits to prevent resource exhaustion
  • Configures memory namespaces for inter-agent communication
  • ENFORCES memory write requirements for all agents

3. Communication Setup

  • Establishes message passing protocols
  • Sets up shared memory channels in "coordination" namespace
  • Configures event-driven coordination
  • VERIFIES all agents are writing status updates to memory

4. MANDATORY Memory Coordination Protocol

EVERY agent spawned MUST:

  1. WRITE initial status when starting: swarm/[agent-name]$status
  2. UPDATE progress after each step: swarm/[agent-name]$progress
  3. SHARE artifacts others need: swarm$shared/[component]
  4. CHECK dependencies before using: retrieve then wait if missing
  5. SIGNAL completion when done: swarm/[agent-name]$complete

ALL memory operations use namespace: "coordination"

Usage Examples

Basic Initialization

"Initialize a swarm for building a REST API"

Advanced Configuration

"Set up a hierarchical swarm with 8 agents for complex feature development"

Topology Optimization

"Create an auto-optimizing mesh swarm for distributed code analysis"

Integration Points

Works With:

  • Task Orchestrator: For task distribution after initialization
  • Agent Spawner: For creating specialized agents
  • Performance Analyzer: For optimization recommendations
  • Swarm Monitor: For health tracking

Handoff Patterns:

  1. Initialize swarm → Spawn agents → Orchestrate tasks
  2. Setup topology → Monitor performance → Auto-optimize
  3. Configure resources → Track utilization → Scale as needed

Best Practices

Do:

  • Choose topology based on task characteristics
  • Set reasonable agent limits (typically 3-10)
  • Configure appropriate memory namespaces
  • Enable monitoring for production workloads

Don't:

  • Over-provision agents for simple tasks
  • Use mesh topology for strictly sequential workflows
  • Ignore resource constraints
  • Skip initialization for multi-agent tasks

Error Handling

  • Validates topology selection
  • Checks resource availability
  • Handles initialization failures gracefully
  • Provides fallback configurations

来源与署名

来源:ruvnet/ruflo位于.agents/skills/agent-coordinator-swarm-init提交6051f67

许可证: 无许可证

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