foxctl Multi-Agent

What problem does it solve?

This Skill helps you turn a complex AI task into a managed hierarchy of specialized agents so progress, roles, and depth limits stay consistent across a session.

Core Features & Use Cases

• Hierarchical agent spawning: Builds an overseer-to-role agent tree (e.g., planner and coder subagents) with global and local depth caps to control complexity growth.
• Role-based coordination: Assigns clear responsibilities using roles like planner, coder, reviewer, and researcher to reduce ambiguity in multi-agent collaboration.
• Session management: Tracks agent sessions and hierarchy so you can list agents and inspect the structure for a given session ID.

Quick Start

Ask the AI to spawn a coder subagent under a planner with a local maximum depth of 2 for epic epic-123, then report back the resulting agent session hierarchy.