team

To assemble a multi-agent AI team, provide a task description and the skill will dynamically select 2-5 available agents from the .Codex/agents/ catalog, assigning clear roles and deliverables for cross-functional collaboration.

AI agent selection and task coordination is used for cross-functional project work like product design, software development, or research, ensuring clear ownership and efficient collaboration among multiple AI agents.

Yes, you can use this skill to build a team for software development workflows. It delegates roles to available agents, ensuring coordinated execution and delivery with outputs stored in directories like docs/ for traceability.

You assign roles and deliverables to an AI agent team by inputting a task description. The skill automatically reads available agent definitions and delegates tasks to ensure clear ownership and efficient collaboration.

The best way to coordinate cross-functional AI agents is to dynamically select a focused 2-5 member team from your available agents, reducing setup time and coordination overhead while ensuring focused task execution.

Yes, you need predefined agent definitions located under .Codex/agents/ to use this multi-agent workflow. The skill selects members from this catalog to form a task-focused team with clear deliverables.