remote_worker_connector

What problem does it solve?

This Skill empowers the agent to act as an AI Swarm Leader, offloading complex or time-consuming tasks to a cluster of remote worker agents, thereby preventing context window overload and enabling parallel processing.

Core Features & Use Cases

• Task Dispatching: Send natural language instructions to available worker nodes.
• Load Balancing: Automatically assigns tasks to idle workers or allows specific worker targeting.
• Concurrency: Execute multiple independent tasks simultaneously using dispatch_batch_tasks.
• State Management: Maintain conversational context across multiple turns with a specific worker using sub_session_id.
• Urgent Interruption: Forcefully halt a worker's current task with priority="URGENT".
• Use Case: When asked to research five competitors, use dispatch_batch_tasks to send a research query to five different workers concurrently, receiving summarized reports back quickly.

Quick Start

Use dispatch_task to ask a remote worker to write a Python script that lists all files in the current directory.