MAS Decision Gate

Evaluate tasks to decide between single-agent and multi-agent systems.

Updated Jan 17, 2026

Search Tags:#architecture #verification #multi-agent #decision-making #thresholds #mas

Ready to run

npx skills add https://github.com/MarkusDegen/multi-agent-skill --skill mas-decision-gate

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: MAS Decision Gate
Source: https://github.com/MarkusDegen/multi-agent-skill/tree/main/skills/mas-decision-gate
Command: npx skills add https://github.com/MarkusDegen/multi-agent-skill --skill mas-decision-gate

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

MAS Decision Gate helps teams determine whether a multi-agent system is warranted, preventing architectural overkill by providing an evidence-based path to decide between MAS and a single agent.

Core Features & Use Cases

Evidence-based decision framework for MAS vs single-agent deployments.
12 Factor Agents perspective and Simplicity Test to guide architecture choices.
Clear decision-output formats and references for deeper validation.

Quick Start

Assess a project with multiple tasks and decide if MAS is justified using the provided decision criteria.

Frequently Asked Questions about MAS Decision Gate

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

FAQPage Schema

When do I need a multi-agent system instead of a single agent?▼

A multi-agent system is needed when your task requires parallelization, domain specialization, or internal verification that justifies the architectural complexity over a single agent. Apply the Simplicity Test to verify MAS is warranted.

How do I decide if multi-agent architecture is justified for my project?▼

Decide on multi-agent architecture by applying an evidence-based decision framework with specific thresholds to evaluate if parallelization or domain specialization provides enough value to justify MAS usage over simpler designs.

What is the Simplicity Test for evaluating multi-agent system architecture?▼

The Simplicity Test is a decision framework criterion used to evaluate whether a given task should be solved by a single agent or a multi-agent system, preventing architectural overkill by requiring evidence-based justification for MAS.

Can I use a single agent for tasks that require domain specialization and verification?▼

Yes, a single agent can handle specialized tasks, but if internal verification or parallelization thresholds are met, a multi-agent system is formally recommended to properly separate roles and domain responsibilities.

What are the limitations of using multi-agent systems for task processing?▼

The primary limitation of multi-agent systems is architectural overkill. You should not use MAS if the task lacks sufficient parallelization, domain specialization, or internal verification needs to pass the Simplicity Test thresholds.

How do I evaluate task parallelization to choose between MAS and a single agent?▼

Evaluate task parallelization by applying the decision framework thresholds to determine if the task's domain specialization and verification requirements justify multi-agent system deployment over a single agent architecture.