What problem does it solve? Coordinating a large multi-agent implementation effort across security, core systems, integration, quality, performance, and release domains is error-prone without explicit dependency management, phase planning, and progress tracking. This Skill structures a 15-agent hierarchical mesh swarm so parallel work proceeds without deadlocks or timeline drift. ## Core Features & Use Cases - 15-Agent Hierarchical Mesh: A queen coordinator orchestrates agents grouped into security, core, integration, quality, performance, and deployment domains with a defined roster and responsibilities. - Phase-Based Execution: Four phases (Foundation, Core Systems, Integration, Release) map agents to a 14-week timeline with parallel Task() dispatch per phase. - Dependency & Communication Management: A dependency graph prevents deadlocks, while a swarm communication bus, load balancer, and efficiency monitor keep agent utilization above 85%. - Use Case: A team implementing claude-flow v3 across 10 ADRs uses this Skill to spawn the queen coordinator, dispatch CVE remediation and AgentDB memory unification in parallel, and track progress through GitHub milestones and hourly status updates. ## Quick Start Initialize the 15-agent v3 swarm by dispatching a Task to the v3-queen-coordinator to set up the hierarchical mesh for the full v3 implementation.
