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agent-coordinator-swarm-init 精选

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

在 GitHub 打开

安装方式

cp -r .agents/skills/agent-coordinator-swarm-init ~/.claude/skills/agent-coordinator-swarm-init

把该 skill 目录放进客户端 skills 目录。不同客户端的目录可能不同,Claude Code 默认是 ~/.claude/skills/

整仓一次性获取:git clone --depth 1 https://github.com/ruvnet/ruflo.git

依赖与权限

  • 无需 API Key
  • 无需联网
  • 依赖外部命令:npx
  • 以上为按正文与 frontmatter 自动推断的信号,仅供参考;安装前建议先阅读原文。

SKILL.md 正文

来源 ruvnet/ruflo@8c6b85d · 许可 MIT · 内容未修改

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

质量与来源

所属仓库
ruvnet/ruflo
仓库星标
7.4 万
最近更新
今天
采集时间
今天
commit
8c6b85de1506
内容指纹
sha256:b6a5bf89e759bf7
文件路径
.agents/skills/agent-coordinator-swarm-init/SKILL.md