team

Create and coordinate multi-agent teams for complex multi-step tasks.

Updated Jan 26, 2026
One-click install
npx skills add https://github.com/mgoodman60/foremanos --skill team-mgoodman60
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: team
Source: https://github.com/mgoodman60/foremanos/tree/main/.claude/skills/team
Command: npx skills add https://github.com/mgoodman60/foremanos --skill team-mgoodman60

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrate agent teams for complex, multi-step tasks by enabling structured role assignments, spawn prompts, and execution sequencing.

Core Features & Use Cases

  • Team Directory & Roles: predefined teams with aliases, agents, and leads for common project workflows
  • Orchestration Protocol: setup, task assignment, execution, completion, and cleanup with best practices
  • Spawn Prompts Library: reusable prompts for each agent to ensure consistent behavior
  • Lifecycle Management: end-to-end coordination from TeamCreate to TeamDelete to streamline multi-agent collaboration

Quick Start

Use the team orchestration system to create an agent team for a user goal, spawn agents with defined roles, and delegate tasks following the orchestration protocol. Review the synthesized results and perform a controlled shutdown when complete.

Frequently Asked Questions about team

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

FAQPage Schema
How do I orchestrate multiple AI agents for complex multi-step tasks?

Multi-agent orchestration is handled by automatically creating teams with defined roles, assigning spawn prompts, sequencing execution, verifying results, and cleaning up. This structured protocol coordinates research, implementation, QA, and orchestration across specialized agents.

What is the best way to delegate tasks across specialized AI agents?

Task delegation across specialized AI agents uses a predefined team directory with aliases and leads. You assign specific roles to agents, issue spawn prompts for consistent behavior, and follow an end-to-end lifecycle protocol from team creation to controlled shutdown.

Can I use predefined teams for common project workflows like research and QA?

Predefined teams for common project workflows are available through a team directory. These configurations include predefined aliases, designated agents, and assigned leads to streamline research, implementation, QA, and orchestration phases.

How do I ensure consistent behavior when spawning multiple AI agents?

Consistent behavior when spawning multiple AI agents is ensured by using a reusable spawn prompts library. These prompts assign defined roles and enforce best practices during the execution and task delegation phases of the orchestration protocol.

Do I need to manually clean up after multi-agent execution finishes?

Manual cleanup after multi-agent execution is not required. The orchestration protocol manages lifecycle end-to-end, automatically verifying completion and performing a controlled shutdown from TeamCreate to TeamDelete to streamline multi-agent collaboration.

When should I use multi-agent coordination instead of a single AI agent?

Multi-agent coordination should be used instead of a single AI agent when a task requires structured role assignments across research, implementation, QA, and orchestration. Complex, multi-step tasks benefit from specialized agents executing defined spawn prompts sequentially.