minoan-swarm

You can orchestrate AI agent teams for parallel task execution by using a skill that auto-discovers project context from CLAUDE.md and roadmaps to generate structured team configurations and shared task lists.

Setting up AI agent orchestration requires project artifacts like CLAUDE.md, roadmaps, and issues in your directory, along with the CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS environment variable enabled.

You coordinate multiple AI agents by generating a shared task list that delegates specialized roles, allowing distinct frontend, backend, and testing components to be executed in parallel.

AI agent team orchestration requires the CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS feature to be enabled, as the skill relies on it to launch and manage collaborative agent functionality.

The best way to manage complex project phases with AI agents is to automatically discover project context and assign structured names to specialized teams, ensuring efficient coordination and clear task delegation.

You can use project roadmaps to automatically generate AI agent task lists, as the orchestration skill discovers roadmap artifacts in the current directory to inform team planning and structured configurations.