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agent-v3-queen-coordinator

Orchestrates a 15-agent swarm for Claude-Flow v3 architecture implementation and GitHub issue coordination.

70.1k|8.4k|Updated Jun 2, 2025
Search Tags:#coordination#ADR#gitHub# orchestration#SWARM#Multi-Agent#Claude-Flow
One-click install
npx skills add https://github.com/ruvnet/claude-flow --skill agent-v3-queen-coordinator
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-v3-queen-coordinator
Source: https://github.com/ruvnet/claude-flow/tree/main/.agents/skills/agent-v3-queen-coordinator
Command: npx skills add https://github.com/ruvnet/claude-flow --skill agent-v3-queen-coordinator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires agentic-flow.

What problem does it solve?

Coordinating a large multi-agent engineering effort across a 14-week roadmap is difficult to manage manually, especially when tracking 10 architecture decision records, GitHub issues, and cross-agent dependencies simultaneously.

Core Features & Use Cases

  • Hierarchical Swarm Orchestration: Coordinates 15 specialized agents in a mesh topology grouped into security, core, integration, quality, performance, and deployment tracks.
  • Phased Delivery Planning: Organizes work into four phases (foundation, core systems, integration, release) mapped to a 14-week timeline with defined agent assignments.
  • GitHub and Memory Integration: Checks GitHub CLI authentication, stores coordination patterns via agentic-flow memory hooks, and tracks success metrics like performance speedups and memory reduction.
  • Use Case: A maintainer kicking off the Claude-Flow v3 rewrite invokes this coordinator to assign ADR-001 through ADR-010 workstreams to specialized agents and monitor progress toward release.

Quick Start

Invoke the v3 queen coordinator to start orchestrating the 15-agent swarm for the Claude-Flow v3 implementation roadmap.

Frequently Asked Questions about agent-v3-queen-coordinator

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

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

Use a queen coordinator pattern that assigns specialized agents to workstreams like security, core architecture, and integration. This skill organizes 15 agents into a hierarchical mesh with phased milestones and shared memory for cross-agent state.

What is the v3 queen coordinator in claude-flow?▼

It is the top-level orchestrator agent for the Claude-Flow v3 rewrite, responsible for directing 15 agents through ADR-001 to ADR-010 implementation across a 14-week, four-phase delivery plan.

Does this skill require the GitHub CLI?▼

The GitHub CLI is optional but recommended. The pre-execution hook checks for gh availability and authentication status, and the coordinator degrades gracefully with a warning if authentication is missing.

How does the coordinator track progress across agents?▼

It uses agentic-flow memory hooks to store coordination patterns after each execution, recording session ID, task, agent name, and completion status for later retrieval and analysis.

What are the limitations of a single queen coordinator?▼

The coordinator has a concurrency limit of one, making it a potential bottleneck for highly parallel decisions. It also depends on external tools like agentic-flow and gh being installed and configured.

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