agent-teams

Spawn parallel agents with distinct perspectives and synthesize their outputs.

6|Updated Apr 7, 2026
One-click install
npx skills add https://github.com/Kgan01/ghengis-skills --skill agent-teams-kgan01
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-teams
Source: https://github.com/Kgan01/ghengis-skills/tree/main/plugins/ghengis-skills/skills/agent-teams
Command: npx skills add https://github.com/Kgan01/ghengis-skills --skill agent-teams-kgan01

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinated multi-perspective collaboration that reduces bias and surface insights by running parallel agents on the same task, then synthesizing results into a stronger final output.

Core Features & Use Cases

  • Spawn parallel agents with distinct creative perspectives (Minimalist, Bold, Technical, Playful, Elegant) to generate diverse variations.
  • Synthesize outputs from all perspectives into a superior final result, reducing blind spots and improving quality.
  • Use cases include brainstorming, design critique, policy drafting, and complex problem solving where multiple viewpoints improve outcomes.

Quick Start

Spawn five subagents across the five default perspectives and feed them the same task.

Frequently Asked Questions about agent-teams

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

FAQPage Schema
How do I run parallel agents with different perspectives for brainstorming?

Spawning parallel agents for design critique involves launching multiple subagents with distinct perspectives like Minimalist, Bold, or Playful on the same task. You collect all generated variations and synthesize them into a final unified result to reduce blind spots.

What is multi-perspective synthesis in prompt engineering?

Multi-perspective synthesis in prompt engineering is the process of spawning parallel agents with distinct viewpoints to generate diverse outputs, then collecting and synthesizing those variations into a superior final result to reduce bias and surface insights.

How do I synthesize outputs from multiple perspectives into a final result?

To synthesize outputs from multiple perspectives, the Skill collects all variations generated by the parallel subagents and applies a final unification step. This process merges diverse viewpoints into a superior final result, reducing blind spots and improving quality.

Can I use parallel agents for complex problem solving without dependencies?

Yes, you can use parallel agents for complex problem solving without dependencies. The Skill supports spawning subagents per perspective and synthesizing results directly, requiring no external components or prerequisites to execute the teamwork workflow.

What are the default perspectives for spawning parallel agents?

The default perspectives for spawning parallel agents are Minimalist, Bold, Technical, Playful, and Elegant. These distinct viewpoints allow the subagents to generate diverse variations for tasks like brainstorming, design critique, and policy drafting.