dispatching-parallel-agents

Orchestrates concurrent specialized agents for parallel task execution and multi-review workflows.

4|1|Updated Dec 30, 2025
One-click install
npx skills add https://github.com/doanchienthangdev/omgkit --skill dispatching-parallel-agents-doanchienthangdev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dispatching-parallel-agents
Source: https://github.com/doanchienthangdev/omgkit/tree/main/plugin/skills/methodology/dispatching-parallel-agents
Command: npx skills add https://github.com/doanchienthangdev/omgkit --skill dispatching-parallel-agents-doanchienthangdev

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the challenge of executing multiple tasks concurrently by orchestrating specialized AI agents, thereby maximizing efficiency and throughput.

Core Features & Use Cases

  • Parallel Task Execution: Enables independent tasks to be run simultaneously across different agents.
  • Agent Specialization: Assigns agents based on their expertise (e.g., explorer, implementer, reviewer) for optimal results.
  • Use Case: When performing a comprehensive code review, you can dispatch agents in parallel to focus on security, performance, and style concerns simultaneously, rather than sequentially.

Quick Start

Use the dispatching-parallel-agents skill to run security, performance, and style reviews concurrently.

Frequently Asked Questions about dispatching-parallel-agents

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

FAQPage Schema
How do I run parallel tasks concurrently using AI agents?

Parallel tasks run concurrently by orchestrating specialized AI agents for independent execution. This approach maximizes efficiency by fanning out tasks simultaneously and fanning in the results.

What is the fan-out fan-in pattern in agent orchestration?

The fan-out fan-in pattern in agent orchestration dispatches multiple independent tasks to specialized agents simultaneously, then aggregates their results. It enables concurrent execution for multi-concern reviews and parallel exploration.

How do I execute a multi-concern code review across security, performance, and style simultaneously?

Multi-concern code reviews execute simultaneously by dispatching parallel agents specialized in security, performance, and style. Each agent independently analyzes its specific concern to maximize review throughput.

How are concurrency limits and timeout handling managed during parallel task execution?

Concurrency limits and timeout handling are managed through built-in error strategies during parallel task execution. The orchestration mechanism controls maximum concurrent agents and gracefully handles timeouts to ensure robust processing.

When should I use parallel agent orchestration instead of sequential task execution?

Use parallel agent orchestration when tasks can run independently, such as multi-concern reviews or parallel exploration. Sequential execution is unnecessary when independent specialized agents can process concerns simultaneously.

Can I assign specialized roles like explorer and reviewer to concurrent agents?

Specialized roles like explorer, implementer, and reviewer can be assigned to concurrent agents. Agent specialization ensures tasks are matched to specific expertise for optimal parallel execution results.