agentdb-advanced
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems…
15-agent hierarchical mesh coordination for v3 implementation. Orchestrates parallel execution across security, core, and integration domains following 10 ADRs with 14-week timeline.
$ npx -y skills add ruvnet/agentic-flow --skill v3-swarm-coordination --agent claude-codeHow it fires
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/v3-swarm-coordinationContext preview
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15-agent hierarchical mesh coordination for v3 implementation. Orchestrates parallel execution across security, core, and integration domains following 10 ADRs with 14-week timeline.
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."
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",Production-ready AI agent orchestration with 66 self-learning agents, 213 MCP tools, and autonomous multi-agent swarms.
Repo: ruvnet/agentic-flow
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