V3 Swarm Coordination

Multi-agent parallel execution requires a hierarchical mesh with encoded dependency graphs and readiness checks to prevent blocking issues. This Skill coordinates a 15-agent swarm to enforce dependency resolution and avoid deadlocks during concurrent engineering tasks.

Hierarchical task orchestration uses a queen coordinator to manage domain agents across security, core, integration, performance, quality, and release. This structure enables parallel work with clear dependencies for multi-domain engineering projects.

Yes, GitHub milestone and epic issue automation is supported natively. The swarm coordinator automates milestone creation, progress tracking, and CI/CD release preparation to ensure timeline adherence for a 14-week v3 rollout.

Dependency management in a parallel execution swarm is best handled by encoding dependency graphs and performing readiness checks. This prevents blocking issues and ensures tasks are only executed when their dependencies are fully resolved.

A 15-agent swarm requires an environment capable of hierarchical mesh communication and GitHub integration for milestone automation. It is designed for multi-domain engineering projects needing coordinated parallelism across security, core, and release workflows.

Concurrent task execution fails without dependency resolution because tasks attempt to run before their prerequisites are met, causing deadlocks. Enforcing dependency graphs and readiness checks prevents these blocking issues during parallel execution.