AG

agent-coordinator-swarm-init

Configures and initializes agent swarm networks with optimized topology and resources.

Install

mkdir -p .claude/skills/agent-coordinator-swarm-init && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/6541" && unzip -o skill.zip -d .claude/skills/agent-coordinator-swarm-init && rm skill.zip

Installs to .claude/skills/agent-coordinator-swarm-init

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Agent skill for coordinator-swarm-init - invoke with $agent-coordinator-swarm-init
82 charsno explicit “when” trigger
Intermediate

Key capabilities

  • Configure hierarchical, mesh, star, or ring network topologies
  • Allocate compute resources based on task complexity
  • Define shared memory namespaces for inter-agent communication
  • Enforce mandatory memory write requirements for all agents
  • Verify successful status updates across the swarm

How it works

Executes a shell-based initialization hook that writes status metadata to a persistent memory namespace and validates agent connectivity.

Inputs & outputs

You give it
Invoke via $agent-coordinator-swarm-init
You get back
Log of topology setup and shared memory confirmation

When to use agent-coordinator-swarm-init

  • Initializing new agent swarms
  • Defining network topologies
  • Allocating swarm resources

About this skill


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

When not to use it

  • Simple, single-agent scripts
  • Environments without access to the claude-flow memory system

Prerequisites

npxClaude-flow@alpha package

Limitations

  • Requires active memory namespace access
  • Limited to predefined topologies

How it compares

Automates the boilerplate of topology configuration and memory synchronization that usually requires manual file-based tracking.

Compared to similar skills

agent-coordinator-swarm-init side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
agent-coordinator-swarm-init (this skill)16moNo flagsIntermediate
storage-networking67moReviewAdvanced
kubernetes-architect64moNo flagsAdvanced
senior-ml-engineer67moReviewAdvanced

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