v3-swarm-coordination

name	V3 Swarm Coordination
description	15-agent hierarchical mesh coordination for v3 implementation. Orchestrates parallel execution across security, core, and integration domains following 10 ADRs with 14-week timeline.

V3 Swarm Coordination

What This Skill Does

Orchestrates the complete 15-agent hierarchical mesh swarm for claude-flow v3 implementation, coordinating parallel execution across domains while maintaining dependencies and timeline adherence.

Quick Start

# Initialize 15-agent v3 swarm
Task("Swarm initialization", "Initialize hierarchical mesh for v3 implementation", "v3-queen-coordinator")

# Security domain (Phase 1 - Critical priority)
Task("Security architecture", "Design v3 threat model and security boundaries", "v3-security-architect")
Task("CVE remediation", "Fix CVE-1, CVE-2, CVE-3 vulnerabilities", "security-auditor")
Task("Security testing", "Implement TDD security framework", "test-architect")

# Core domain (Phase 2 - Parallel execution)
Task("Memory unification", "Implement AgentDB 150x improvement", "v3-memory-specialist")
Task("Integration architecture", "Deep agentic-flow@alpha integration", "v3-integration-architect")
Task("Performance validation", "Validate 2.49x-7.47x targets", "v3-performance-engineer")

15-Agent Swarm Architecture

Hierarchical Mesh Topology

                    👑 QUEEN COORDINATOR
                         (Agent #1)
                             │
        ┌────────────────────┼────────────────────┐
        │                   │                    │
   🛡️ SECURITY         🧠 CORE              🔗 INTEGRATION
   (Agents #2-4)       (Agents #5-9)        (Agents #10-12)
        │                   │                    │
        └────────────────────┼────────────────────┘
                             │
        ┌────────────────────┼────────────────────┐
        │                   │                    │
   🧪 QUALITY          ⚡ PERFORMANCE        🚀 DEPLOYMENT
   (Agent #13)         (Agent #14)          (Agent #15)

Agent Roster

ID	Agent	Domain	Phase	Responsibility
1	Queen Coordinator	Orchestration	All	GitHub issues, dependencies, timeline
2	Security Architect	Security	Foundation	Threat modeling, CVE planning
3	Security Implementer	Security	Foundation	CVE fixes, secure patterns
4	Security Tester	Security	Foundation	TDD security testing
5	Core Architect	Core	Systems	DDD architecture, coordination
6	Core Implementer	Core	Systems	Core module implementation
7	Memory Specialist	Core	Systems	AgentDB unification
8	Swarm Specialist	Core	Systems	Unified coordination engine
9	MCP Specialist	Core	Systems	MCP server optimization
10	Integration Architect	Integration	Integration	agentic-flow@alpha deep integration
11	CLI/Hooks Developer	Integration	Integration	CLI modernization
12	Neural/Learning Dev	Integration	Integration	SONA integration
13	TDD Test Engineer	Quality	All	London School TDD
14	Performance Engineer	Performance	Optimization	Benchmarking validation
15	Release Engineer	Deployment	Release	CI/CD and v3.0.0 release

Implementation Phases

Phase 1: Foundation (Week 1-2)

Active Agents: #1, #2-4, #5-6

const phase1 = async () => {
  // Parallel security and architecture foundation
  await Promise.all([
    // Security domain (critical priority)
    Task(
      "Security architecture",
      "Complete threat model and security boundaries",
      "v3-security-architect",
    ),
    Task("CVE-1 fix", "Update vulnerable dependencies", "security-implementer"),
    Task("CVE-2 fix", "Replace weak password hashing", "security-implementer"),
    Task("CVE-3 fix", "Remove hardcoded credentials", "security-implementer"),
    Task(
      "Security testing",
      "TDD London School security framework",
      "test-architect",
    ),

    // Core architecture foundation
    Task(
      "DDD architecture",
      "Design domain boundaries and structure",
      "core-architect",
    ),
    Task("Type modernization", "Update type system for v3", "core-implementer"),
  ]);
};

Phase 2: Core Systems (Week 3-6)

Active Agents: #1, #5-9, #13

const phase2 = async () => {
  // Parallel core system implementation
  await Promise.all([
    Task(
      "Memory unification",
      "Implement AgentDB with 150x-12,500x improvement",
      "v3-memory-specialist",
    ),
    Task(
      "Swarm coordination",
      "Merge 4 coordination systems into unified engine",
      "swarm-specialist",
    ),
    Task(
      "MCP optimization",
      "Optimize MCP server performance",
      "mcp-specialist",
    ),
    Task(
      "Core implementation",
      "Implement DDD modular architecture",
      "core-implementer",
    ),
    Task(
      "TDD core tests",
      "Comprehensive test coverage for core systems",
      "test-architect",
    ),
  ]);
};

Phase 3: Integration (Week 7-10)

Active Agents: #1, #10-12, #13-14

const phase3 = async () => {
  // Parallel integration and optimization
  await Promise.all([
    Task(
      "agentic-flow integration",
      "Eliminate 10,000+ duplicate lines",
      "v3-integration-architect",
    ),
    Task(
      "CLI modernization",
      "Enhance CLI with hooks system",
      "cli-hooks-developer",
    ),
    Task(
      "SONA integration",
      "Implement <0.05ms learning adaptation",
      "neural-learning-developer",
    ),
    Task(
      "Performance benchmarking",
      "Validate 2.49x-7.47x targets",
      "v3-performance-engineer",
    ),
    Task(
      "Integration testing",
      "End-to-end system validation",
      "test-architect",
    ),
  ]);
};

Phase 4: Release (Week 11-14)

Active Agents: All 15

const phase4 = async () => {
  // Full swarm final optimization
  await Promise.all([
    Task(
      "Performance optimization",
      "Final optimization pass",
      "v3-performance-engineer",
    ),
    Task(
      "Release preparation",
      "CI/CD pipeline and v3.0.0 release",
      "release-engineer",
    ),
    Task(
      "Final testing",
      "Complete test coverage validation",
      "test-architect",
    ),

    // All agents: Final polish and optimization
    ...agents.map((agent) =>
      Task("Final polish", `Agent ${agent.id} final optimization`, agent.name),
    ),
  ]);
};

Coordination Patterns

Dependency Management

class DependencyCoordination {
  private dependencies = new Map([
    // Security first (no dependencies)
    [2, []],
    [3, [2]],
    [4, [2, 3]],

    // Core depends on security foundation
    [5, [2]],
    [6, [5]],
    [7, [5]],
    [8, [5, 7]],
    [9, [5]],

    // Integration depends on core systems
    [10, [5, 7, 8]],
    [11, [5, 10]],
    [12, [7, 10]],

    // Quality and performance cross-cutting
    [13, [2, 5]],
    [14, [5, 7, 8, 10]],
    [15, [13, 14]],
  ]);

  async coordinateExecution(): Promise<void> {
    const completed = new Set<>();

     (completed. < ) {
       ready = .(completed);

       (ready. === ) {
          ();
      }

      
       .(ready.( .(agentId)));

      ready.( completed.(id));
    }
  }
}

GitHub Integration

class GitHubCoordination {
  async initializeV3Milestone(): Promise<void> {
    await gh.createMilestone({
      title: "Claude-Flow v3.0.0 Implementation",
      description: "15-agent swarm implementation of 10 ADRs",
      dueDate: this.calculate14WeekDeadline(),
    });
  }

  async createEpicIssues(): Promise<void> {
    const epics = [
      { title: "Security Overhaul (CVE-1,2,3)", agents: [2, 3, 4] },
      { title: "Memory Unification (AgentDB)", agents: [7] },
      { title: "agentic-flow Integration", agents: [10] },
      { title: "Performance Optimization", agents: [14] },
      { title: "DDD Architecture", agents: [5, 6] },
    ];

    for (const epic of epics) {
      await gh.createIssue({
        title: epic.title,
        : [, , ...epic..( )],
        : epic..( .(id)),
      });
    }
  }

   (): <> {
    
    ( () => {
       ( agent  .) {
         .(agent);
      }
    }, ); 
  }
}

Communication Bus

class SwarmCommunication {
  private bus = new QuicSwarmBus({
    maxAgents: 15,
    messageTimeout: 30000,
    retryAttempts: 3,
  });

  async broadcastToSecurityDomain(message: SwarmMessage): Promise<void> {
    await this.bus.broadcast(message, {
      targetAgents: [2, 3, 4],
      priority: "critical",
    });
  }

  async coordinateCoreSystems(message: SwarmMessage): Promise<void> {
    await this.bus.broadcast(message, {
      targetAgents: [5, 6, 7, 8, 9],
      priority: "high",
    });
  }

  async notifyIntegrationTeam(message: SwarmMessage): Promise<void> {
    await ..(message, {
      : [, , ],
      : ,
    });
  }
}

Performance Coordination

Parallel Efficiency Monitoring

class EfficiencyMonitor {
  async measureParallelEfficiency(): Promise<EfficiencyReport> {
    const agentUtilization = await this.measureAgentUtilization();
    const coordinationOverhead = await this.measureCoordinationCost();

    return {
      totalEfficiency: agentUtilization.average,
      target: 0.85, // >85% utilization
      achieved: agentUtilization.average > 0.85,
      bottlenecks: this.identifyBottlenecks(agentUtilization),
      recommendations: this.generateOptimizations(),
    };
  }
}

Load Balancing

class SwarmLoadBalancer {
  async balanceWorkload(): Promise<void> {
    const workloads = await this.analyzeAgentWorkloads();

    for (const [agentId, load] of workloads.entries()) {
      if (load > this.getCapacityThreshold(agentId)) {
        await this.redistributeWork(agentId);
      }
    }
  }

  async redistributeWork(overloadedAgent: number): Promise<void> {
    const availableAgents = this.getAvailableAgents();
    const tasks = await this.getAgentTasks(overloadedAgent);

    // Redistribute tasks to available agents
    for (const task of tasks) {
      const bestAgent = this.selectOptimalAgent(task, availableAgents);
      await this.reassignTask(task, bestAgent);
    }
  }
}

Success Metrics

Swarm Coordination

• Parallel Efficiency: >85% agent utilization time
• Dependency Resolution: Zero deadlocks or blocking issues
• Communication Latency: <100ms inter-agent messaging
• Timeline Adherence: 14-week delivery maintained
• GitHub Integration: <4h automated issue response

Implementation Targets

• ADR Coverage: All 10 ADRs implemented successfully
• Performance: 2.49x-7.47x Flash Attention achieved
• Search: 150x-12,500x AgentDB improvement validated
• Code Reduction: <5,000 lines (vs 15,000+)
• Security: 90/100 security score achieved

Related V3 Skills

• v3-security-overhaul - Security domain coordination
• v3-memory-unification - Memory system coordination
• v3-integration-deep - Integration domain coordination
• v3-performance-optimization - Performance domain coordination

Usage Examples

Initialize Complete V3 Swarm

# Queen Coordinator initializes full swarm
Task("V3 swarm initialization",
     "Initialize 15-agent hierarchical mesh for complete v3 implementation",
     "v3-queen-coordinator")

Phase-based Execution

# Phase 1: Security-first foundation
npm run v3:phase1:security

# Phase 2: Core systems parallel
npm run v3:phase2:core-systems

# Phase 3: Integration and optimization
npm run v3:phase3:integration

# Phase 4: Release preparation
npm run v3:phase4:release