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 when dependencies, timelines, and parallel execution are managed ad hoc. This Skill provides a structured 15-agent hierarchical mesh coordination plan with defined phases, dependency graphs, and communication patterns for the claude-flow v3 implementation. ## Core Features & Use Cases - 15-Agent Hierarchical Mesh: Defines a queen coordinator plus security, core, integration, quality, performance, and deployment agents with a clear roster and responsibilities. - Phase-Based Execution: Four phases (Foundation, Core Systems, Integration, Release) mapped to a 14-week timeline with parallel Task invocations per phase. - Dependency & Communication Management: Includes dependency-graph coordination with deadlock detection, GitHub milestone/issue automation, and a swarm communication bus for domain-targeted messaging. - Use Case: A team lead kicking off the claude-flow v3.0.0 release uses this Skill to initialize the swarm, spawn domain agents in dependency order, track progress via GitHub issues, and validate performance targets like the 2.49x-7.47x Flash Attention and 150x-12,500x AgentDB improvements. ## Quick Start Ask the AI to initialize the 15-agent v3 hierarchical mesh swarm and begin Phase 1 security foundation tasks using the queen coordinator.
