15-agent hierarchical mesh coordination for v3 implementation. Orchestrates parallel execution across security, core, and integration domains following 10 ADRs with 14-week timeline.
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Orchestrates the complete 15-agent hierarchical mesh swarm for claude-flow v3 implementation, coordinating parallel execution across domains while maintaining dependencies and timeline adherence.
# 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")👑 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)| 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 |
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"),
]);
};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",
),
]);
};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",
),
]);
};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 ${agent.id} final optimization`, agent.name),
),
]);
};class DependencyCoordination {
private dependencies = new Map([
// Security first (no dependencies)
[2, []],
[3, [2]],
[4, [2, 3]],
// Core depends on security foundation
[5, [2]],
[6, [5]],
[7, [5]],
[8, [5, 7]],
[9, [5]],
// Integration depends on core systems
[10, [5, 7, 8]],
[11, [5, 10]],
[12, [7, 10]],
// Quality and performance cross-cutting
[13, [2, 5]],
[14, [5, 7, 8, 10]],
[15, [13, 14]],
]);
async coordinateExecution(): Promise<void> {
const completed = new Set<number>();
while (completed.size < 15) {
const ready = this.getReadyAgents(completed);
if (ready.length === 0) {
throw new Error("Deadlock detected in dependency chain");
}
// Execute ready agents in parallel
await Promise.all(ready.map((agentId) => this.executeAgent(agentId)));
ready.forEach((id) => completed.add(id));
}
}
}class GitHubCoordination {
async initializeV3Milestone(): Promise<void> {
await gh.createMilestone({
title: "Claude-Flow v3.0.0 Implementation",
description: "15-agent swarm implementation of 10 ADRs",
dueDate: this.calculate14WeekDeadline(),
});
}
async createEpicIssues(): Promise<void> {
const epics = [
{ title: "Security Overhaul (CVE-1,2,3)", agents: [2, 3, 4] },
{ title: "Memory Unification (AgentDB)", agents: [7] },
{ title: "agentic-flow Integration", agents: [10] },
{ title: "Performance Optimization", agents: [14] },
{ title: "DDD Architecture", agents: [5, 6] },
];
for (const epic of epics) {
await gh.createIssue({
title: epic.title,
labels: ["epic", "v3", ...epic.agents.map((id) => `agent-${id}`)],
assignees: epic.agents.map((id) => this.getAgentGithubUser(id)),
});
}
}
async trackProgress(): Promise<void> {
// Hourly progress updates from each agent
setInterval(async () => {
for (const agent of this.agents) {
await this.postAgentProgress(agent);
}
}, 3600000); // 1 hour
}
}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 this.bus.broadcast(message, {
targetAgents: [10, 11, 12],
priority: "medium",
});
}
}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(),
};
}
}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);
}
}
}v3-security-overhaul - Security domain coordinationv3-memory-unification - Memory system coordinationv3-integration-deep - Integration domain coordinationv3-performance-optimization - Performance domain coordination# Queen Coordinator initializes full swarm
Task("V3 swarm initialization",
"Initialize 15-agent hierarchical mesh for complete v3 implementation",
"v3-queen-coordinator")# 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:releaseIf you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.