agents-router

Route complex tasks to appropriate subagent types using trigger conditions and complexity scoring.

7|3|Updated Jan 15, 2026

Search Tags:#multi-agent #agents #orchestration #code-review #route #complex-tasks

Ready to run

npx skills add https://github.com/Zpankz/mcp-skillset --skill agents-router

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: agents-router
Source: https://github.com/Zpankz/mcp-skillset/tree/main/agents-router
Command: npx skills add https://github.com/Zpankz/mcp-skillset --skill agents-router

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Routes tasks to specialized subagents to coordinate complex workflows, reducing manual overhead and speeding outcomes.

Core Features & Use Cases

Automatic routing of tasks to the most suitable agent type (Explore, Plan, Gemini, engineer, etc.)
Support for multi-domain tasks and parallel or sequential execution
Clear trigger conditions and scalable routing logic for large codebases

Quick Start

Provide a complex, multi-step task and let the system route it to the appropriate subagents for execution.

Frequently Asked Questions about agents-router

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

FAQPage Schema

How do I automatically route complex tasks to specialized subagents?▼

To route complex tasks to specialized subagents, the system evaluates trigger conditions and complexity scoring to select primary and alternative agents for execution. This optimizes multi-domain workflows and reduces manual coordination overhead.

What is multi-agent orchestration for large codebases?▼

Multi-agent orchestration for large codebases involves routing complex tasks to specialized subagent types like Explore or engineer. The system applies routing logic to coordinate parallel or sequential execution across multi-domain, research-heavy workflows.

How do I coordinate parallel execution across multi-domain research tasks?▼

You coordinate parallel execution across multi-domain research tasks by providing a complex, multi-step task to the routing system. It evaluates trigger conditions to select suitable subagents for concurrent or sequential processing.

Does multi-agent routing work for automated code review?▼

Yes, multi-agent routing works for automated code review by directing the review workload to the appropriate subagent types. The routing logic selects the best agent based on the task's complexity and specific codebase requirements.

When should I use automated subagent routing instead of manual task coordination?▼

You should use automated subagent routing instead of manual coordination for complex, multi-step tasks involving large codebases or heavy research. It reduces manual overhead by evaluating complexity to select primary and alternative agents automatically.