Dispatching Parallel Agents

What it does

This skill allows an AI agent to dispatch tasks across multiple, parallel agents. It can distribute workloads for increased efficiency and faster completion times. The system manages the assignment of subtasks to individual agents and aggregates their results into a unified output.

When to use it

• Complex Research: Break down a large research project into smaller queries handled by different search agents.
• Data Extraction from Multiple Sources: Distribute data extraction tasks across multiple agents, each scraping a different website or API.
• Parallel Code Review: Have several agents review code concurrently to accelerate the feedback process.
• Content Generation with Diverse Styles: Assign different writing styles (e.g., formal, informal, technical) to separate agents for a single content piece.

Key capabilities

• Task distribution across multiple agents
• Subtask assignment and management
• Result aggregation from parallel agents
• Workload balancing

Example prompts

• "Divide this research topic into three sub-questions and assign each to a different agent."
• "Extract data from these five URLs, using separate agents for each URL."
• "Review this code block for security vulnerabilities. Assign sections of the code to multiple agents for faster review."

Tips & gotchas

This skill requires access to multiple AI agent instances or a system capable of spawning them. Ensure that the tasks assigned to parallel agents are independent and can be executed without significant inter-agent communication for optimal performance.