V3 Swarm Coordination

Orchestrates a 15-agent hierarchical mesh swarm for parallel v3 implementation across security, core, and integration domains.

1|1|Updated Nov 28, 2025
One-click install
npx skills add https://github.com/33may/robotics --skill v3-swarm-coordination-33may
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: V3 Swarm Coordination
Source: https://github.com/33may/robotics/tree/main/humanoid/.claude/skills/v3-swarm-coordination
Command: npx skills add https://github.com/33may/robotics --skill v3-swarm-coordination-33may

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Coordinating a large multi-agent implementation effort across security, core systems, integration, and release domains is error-prone, with risks of deadlocks, missed dependencies, and timeline slippage. This Skill provides a structured 15-agent hierarchical mesh coordination plan for the claude-flow v3 implementation, following 10 ADRs over a 14-week timeline. ## Core Features & Use Cases - 15-Agent Hierarchical Mesh: Defines a queen coordinator plus security, core, integration, quality, performance, and deployment agents with explicit roles and phases. - Dependency-Aware Parallel Execution: Encodes a dependency graph so agents execute in parallel only when prerequisites complete, with deadlock detection. - GitHub and Communication Integration: Automates milestone creation, epic issues, hourly progress tracking, and domain-targeted swarm messaging. - Use Case: A team lead kicks off the v3.0.0 release by initializing the swarm, then runs phase-based execution (security foundation, core systems, integration, release) while monitoring parallel efficiency above 85%. ## Quick Start Initialize the 15-agent v3 swarm by invoking the queen coordinator task for the complete v3 implementation.

Frequently Asked Questions about V3 Swarm Coordination

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I coordinate multiple AI agents on a large implementation project?

Use a hierarchical mesh topology with a queen coordinator agent managing domain-specific worker agents. Define an explicit dependency graph so agents execute in parallel only when their prerequisites complete, and monitor for deadlocks during execution.

How to structure a multi-agent swarm for a software release?

Organize agents into domains such as security, core systems, integration, quality, performance, and deployment, then run them in phases. This Skill uses four phases over 14 weeks: foundation, core systems, integration, and release.

Can agent swarms integrate with GitHub for progress tracking?

Yes, the coordination layer creates a v3.0.0 milestone, generates epic issues labeled per agent, and posts hourly progress updates. This keeps implementation status visible without manual status meetings.

What happens when agent dependencies cause a deadlock?

The dependency coordination loop detects deadlocks when no agents are ready to execute but work remains incomplete, and throws an error. Designing the dependency map so security and architecture agents run first prevents most blocking situations.

What are the limitations of a 15-agent parallel swarm?

Parallel efficiency depends on keeping agent utilization above 85 percent and inter-agent messaging under 100ms. Overloaded agents require load balancing and task redistribution, and poorly ordered dependencies can serialize work and erode parallelism gains.