teams

Orchestrate multi-agent workflows for task analysis, execution, and consolidated reporting.

1|Updated Feb 19, 2026
One-click install
npx skills add https://github.com/moveonha/pixel-ai-studio --skill teams-moveonha
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: teams
Source: https://github.com/moveonha/pixel-ai-studio/tree/main/.claude/skills/teams
Command: npx skills add https://github.com/moveonha/pixel-ai-studio --skill teams-moveonha

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Automates complex, multi-step collaborations by orchestrating multiple AI agents as a coordinated team to analyze tasks, form teams, execute work, and summarize results.

Core Features & Use Cases

  • Pattern-driven team orchestration to automatically select team patterns like 병렬-리뷰, 파이프라인, 크로스-레이어, and 가설-검증 based on prompt keywords.
  • Phase-driven execution that guides work through detection, analysis, team creation, spawning, progress tracking, and final shutdown with a consolidated report.
  • Subagent fallback that switches to a Subagent-only workflow when Agent Teams are unavailable, preserving progress and enabling continued task delivery.
  • Practical scenarios include security reviews, code reviews, API design reviews, and end-to-end feature development.

Quick Start

Provide a task description and optional pattern or team members to auto-create a team, spawn tasks, and deliver a final report.

Frequently Asked Questions about teams

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

FAQPage Schema
How do I automate multi-agent tasks for complex workflows like security reviews?

Multi-agent task coordination automates complex workflows by orchestrating multiple AI agents to analyze tasks, form teams, execute work, and consolidate results for security reviews, code reviews, and API design.

What is multi-agent team orchestration and how does it work?

Multi-agent team orchestration coordinates a workflow through task detection, analysis, team creation, spawning, progress tracking, and structured shutdown to deliver a consolidated final report for end-to-end development.

How do I set up pattern-driven team orchestration for pipeline or cross-layer execution?

Pattern-driven team orchestration automatically selects team patterns like parallel-review, pipeline, cross-layer, and hypothesis-verification based on prompt keywords to adapt automations to the task at hand.

Can I use multi-agent coordination if Agent Teams are unavailable?

Yes, multi-agent coordination applies a subagent fallback strategy that switches to a Subagent-only workflow when Agent Teams are unavailable, preserving progress and enabling continued task delivery.

What is the best way to coordinate end-to-end feature development across multiple agents?

The best way to coordinate end-to-end feature development is providing a task description with optional patterns or team members to auto-create a team, spawn tasks, and deliver a final report.

Do I need to manually assign agents for task coordination and result consolidation?

No, task coordination automatically handles team formation and result consolidation, requiring only a task description and optional pattern or team members to auto-create a team and spawn tasks.