mt-create-subagent

Creating a focused AI subagent involves collecting identity, scope, constraints, and principles to generate a structured definition. This prevents role ambiguity by using template-based configuration generation and review workflows for AI development environments.

An AI subagent is a specialized role designed for specific tasks, whereas rules and hooks handle broader workflow automation. Evaluating subagent suitability separates these concerns to prevent mixing roles, workflows, and configuration logic in AI environments.

Generating consistent configurations for AI agents requires template-driven creation and review workflows. By collecting identity, scope, and constraints through predefined fields, you maintain consistent SubAgent metadata and scope across multiple agent definitions.

Use a specialized AI agent when a workflow requires evaluating SubAgent suitability for distinct roles. If the task needs clear boundaries, constraints, and principles separated from general workflows, a SubAgent definition is the appropriate solution.

Defining a complete AI subagent requires collecting identity, scope, constraints, principles, and referenced skills. These configuration fields ensure the agent has clear responsibilities and boundaries for the AI development environment.

Template-based configuration prevents role ambiguity by generating consistent SubAgent files with clear boundaries. It separates roles, workflows, and configuration concerns through a structured review process for AI development environments.