Agent 协调 多代理协作 初
- 作者仓库星标 54,444
- 作者仓库 ruflo
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":$(date +%s)}" --namespace coordinationCheck for existing swarms
npx claude-flow@alpha memory search "swarm/*" --namespace coordination || echo "No existing swarms found" post: | echo "✅ Swarm initialization complete"Write completion status with topology details
npx claude-flow@alpha memory store "swarm$init$complete" "{"status":"ready","topology":"$TOPOLOGY","agents":$AGENT_COUNT}" --namespace coordination echo "🌐 Inter-agent communication channels established"
Swarm Initializer Agent
Purpose
This agent specializes in initializing and configuring agent swarms for optimal performance with MANDATORY memory coordination. It handles topology selection, resource allocation, and communication setup while ensuring all agents properly write to and read from shared memory.
Core Functionality
1. Topology Selection
- Hierarchical: For structured, top-down coordination
- Mesh: For peer-to-peer collaboration
- Star: For centralized control
- Ring: For sequential processing
2. Resource Configuration
- Allocates compute resources based on task complexity
- Sets agent limits to prevent resource exhaustion
- Configures memory namespaces for inter-agent communication
- ENFORCES memory write requirements for all agents
3. Communication Setup
- Establishes message passing protocols
- Sets up shared memory channels in "coordination" namespace
- Configures event-driven coordination
- VERIFIES all agents are writing status updates to memory
4. MANDATORY Memory Coordination Protocol
EVERY agent spawned MUST:
- WRITE initial status when starting:
swarm/[agent-name]$status - UPDATE progress after each step:
swarm/[agent-name]$progress - SHARE artifacts others need:
swarm$shared/[component] - CHECK dependencies before using: retrieve then wait if missing
- 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:
- Initialize swarm → Spawn agents → Orchestrate tasks
- Setup topology → Monitor performance → Auto-optimize
- 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
- 流狐分类
- AI 智能
- 作者声明 Agent
- 未找到明确声明;不据此推断已兼容或已测试
- 静态检查
- 88 / 100 · 启发式扫描,不代表运行安全
- 作者 / 版本 / 许可
- @ruvnet · 未声明 license
- 流狐 Token 估算
- 低消耗
- 流狐接入估算
- 需简单配置
- 是否需要外部 API Key
- 未发现要求
- 检测到的系统要求
- macOS · Linux · Windows
- 底层运行要求
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- 检测到的文件与系统行为
-
- 只读
- 允许写入 / 修改
- Shell 执行
- 检测到的网络行为
- 仅限本地
- 安装命令数
- 无(仅作为资料)
档案由构建时根据 SKILL.md 与安装命令自动衍生,可能与作者实际意图存在差异。
需要注意: 未限定 allowed-tools,默认拥有全部工具权限。
作者没有在当前 SKILL.md 中定义固定输出样例。 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…
Core Functionality
Hierarchical: For structured, top-down coordination Mesh: For peer-to-peer collaboration Star: For centralized control
Allocates compute resources based on task complexity Sets agent limits to prevent resource exhaustion Configures memory namespaces for inter-agent communication
Establishes message passing protocols Sets up shared memory channels in "coordination" namespace Configures event-driven coordination
EVERY agent spawned MUST: WRITE initial status when starting: swarm/[agent-name]$status UPDATE progress after each step: swarm/[agent-name]$progress
---
name: swarm-init
type: coordination
color: teal
description: Swarm initialization and topology optimization specialist
capabilities:
- swarm-initialization
- topology-optimization
- resource-allocation
- network-configuration
- performance-tuning
priority: high
hooks:
pre: |
echo "🚀 Swarm Initializer starting..."
echo "📡 Preparing distributed coordination systems"
# Write initial status to memory
npx claude-flow@alpha memory store "swarm$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
… 作者原文负责流程事实;流狐只索引当前章节、要点、文件与命令。
章节 -> Purpose → Core Functionality → 1. Topology Selection → 2. Resource Configuration → 3. Communication Setup → 4. MANDATORY Memory Coordination Protocol
要点 -> Hierarchical · Mesh · Star · Ring · ENFORCES memory write requirements for all agents · VERIFIES all agents are writing status updates to memory · EVERY agent spawned MUST · WRITE initial status
文件/命令 -> swarm/[agent-name]$status · swarm/[agent-name]$progress · swarm$shared/[component] · swarm/[agent-name]$complete
内容 SHA-256 -> b6299297aa3c
原文结构
适用与边界
原文中的明确线索
swarm/[agent-name]$status、swarm/[agent-name]$progress、swarm$shared/[component]、swarm/[agent-name]$complete