What problem does it solve? Coordinating a large multi-agent implementation effort across security, core, integration, quality, performance, and deployment domains is error-prone without explicit dependency management, phase planning, and progress tracking. This Skill orchestrates a 15-agent hierarchical mesh swarm for the claude-flow v3 implementation, keeping parallel execution aligned with a 14-week timeline and 10 ADRs. ## Core Features & Use Cases - Hierarchical Mesh Topology: Organizes 15 agents under a queen coordinator across security, core, integration, quality, performance, and deployment domains. - Phase-Based Execution: Runs four phases (Foundation, Core Systems, Integration, Release) with parallel Task dispatch per phase. - Dependency & Load Management: Resolves agent dependency chains to avoid deadlocks, monitors parallel efficiency above 85%, and rebalances overloaded agents. - GitHub Integration: Creates milestones, epic issues, and hourly progress tracking for the v3.0.0 release. - Use Case: A maintainer kicking off the claude-flow v3 rewrite can initialize the full swarm, dispatch CVE remediation and AgentDB memory unification in parallel, and track progress through GitHub issues until release. ## Quick Start Initialize the 15-agent v3 swarm by dispatching a Task to the v3-queen-coordinator to begin Phase 1 security and architecture foundation work.
