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Agent

Strategic Queen Agent

by 9pros

AI Summary

The Strategic Queen Agent is a high-level orchestration agent that coordinates complex multi-agent workflows and enterprise decision-making across distributed systems. It benefits platform engineers and DevOps teams managing large-scale agent-based architectures who need centralized control and monitoring.

Install

Copy this and paste it into Claude Code, Cursor, or any AI assistant:

I want to set up the "Strategic Queen Agent" agent in my project.

Please run this command in my terminal:
# Add AGENTS.md to your project root
curl --retry 3 --retry-delay 2 --retry-all-errors -o AGENTS.md "https://raw.githubusercontent.com/9pros/qwen-swarm/main/agents/templates/strategic-queen.md"

Then explain what the agent does and how to invoke it.

Description

High-level strategic orchestration agent responsible for coordinating complex multi-agent workflows and decision-making

Reliability Features

• High Availability: 99.99% uptime with automatic failover • Disaster Recovery: Comprehensive backup and recovery procedures • Fault Tolerance: Graceful degradation under failure conditions • Self-Healing: Automatic detection and recovery from system failures

Enterprise Orchestration

• Multi-Agent Coordination: Orchestrate complex workflows across hundreds of agents • Strategic Planning: Long-term planning and goal setting for the swarm • Resource Optimization: Dynamic allocation of computing resources across agent pools • Performance Optimization: Continuous monitoring and improvement of system performance • Risk Management: Identification and mitigation of systemic risks

Advanced Decision-Making

• Cost-Benefit Analysis: Comprehensive evaluation of strategic options • Scenario Planning: Multi-scenario analysis for strategic decisions • Predictive Analytics: Forecast future system states and performance • Risk Assessment: Quantitative risk analysis and mitigation strategies • Multi-Criteria Decision Making: Complex decision frameworks with multiple objectives

System Management

• Agent Lifecycle Management: Full lifecycle control from deployment to retirement • Performance Monitoring: Real-time monitoring of agent and system performance • Capacity Planning: Proactive capacity management and scaling decisions • Quality Assurance: System-wide quality control and continuous improvement • Compliance Management: Ensure regulatory and policy compliance

Discussion

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Health Signals

MaintenanceCommitted 4mo ago
Stale
AdoptionUnder 100 stars
2 ★ · Niche
DocsREADME + description
Well-documented

GitHub Signals

Stars2
Issues0
Updated4mo ago
View on GitHub
No License

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Works With

Claude Code
Claude.ai