queen-coordinator

Coordinate hierarchical hive operations for distributed AI agent networks.

Updated Apr 12, 2026
One-click install
npx skills add https://github.com/MaxKlat29/claude-setup --skill queen-coordinator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: queen-coordinator
Source: https://github.com/MaxKlat29/claude-setup/tree/main/skills/ruflo-queen
Command: npx skills add https://github.com/MaxKlat29/claude-setup --skill queen-coordinator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides centralized control over hive operations, enabling strategic decision-making, resource distribution, and maintaining hive coherence.

Core Features & Use Cases

  • Strategic Command & Control: Establishes hierarchy, issues directives, and manages sovereignty status.
  • Resource Allocation: Distributes computational and memory resources across hive agents.
  • Use Case: A user can coordinate a distributed swarm to execute complex tasks, ensuring prioritized resource sharing and strategic oversight.

Quick Start

Invoke the skill to coordinate hive activities and allocate resources for ongoing tasks.

Frequently Asked Questions about queen-coordinator

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

FAQPage Schema
How do I coordinate distributed AI agents across complex workflows?

You can coordinate distributed AI agents by establishing a hierarchical control structure that manages strategic planning, resource distribution, and coherence across the hive network. This Skill provides centralized command to orchestrate agent swarms executing complex tasks.

What is hierarchical control in agent orchestration?

Hierarchical control in agent orchestration is the establishment of sovereignty and command layers that issue directives to subordinate agents. It ensures strategic oversight and prioritized resource sharing across distributed hive operations.

How do I allocate computational and memory resources across a swarm of agents?

You allocate computational and memory resources across a hive by using scripted commands to distribute assets based on ongoing task priorities. This ensures strategic resource sharing and maintains hive health during complex operations.

Can I manage strategic planning and resource distribution for agent networks without external dependencies?

Yes, you can manage strategic planning and resource distribution without external dependencies. The Skill operates independently using internal scripts and references to establish hierarchy, issue directives, and maintain coherence.

What is the best way to maintain coherence in a distributed agent hive?

The best way to maintain hive coherence is through centralized oversight that monitors agent health and enforces strategic alignment. Using scripted commands to manage sovereignty status ensures the distributed network operates cohesively.

When should I use centralized hive coordination for agent networks?

You should use centralized hive coordination when managing distributed AI agents across complex organizational workflows that require strategic decision-making and prioritized resource allocation. It is ideal for orchestrating swarms executing multi-layered tasks.