team

Name: team
Availability: InStock
Author: Startale

Create AI agent teams with specialized roles for complex task workflows.

3|3|Updated Aug 19, 2025

Search Tags:#workflow #architecture #security #qa #ai #ux #agent-team

Ready to run

npx skills add https://github.com/StartaleGroup/app-sdk --skill team-startalegroup

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: team
Source: https://github.com/StartaleGroup/app-sdk/tree/main/.claude-lib/shared/skills/team
Command: npx skills add https://github.com/StartaleGroup/app-sdk --skill team-startalegroup

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Create agent teams to efficiently deliver high-quality code for complex tasks.

Core Features & Use Cases

Spawn specialized teammates (UX, Architecture, Web Researcher, Devil's Advocate, Security, Performance, Code Reviewer, QA) to collaborate across perspectives and synthesize outcomes.
Enable parallel analysis, synthesis, and QA to accelerate feature delivery with quality.
Support sequential pipelines and model role assignments to ensure plan-driven execution.

Quick Start

Instruct the AI to create an agent team with the specified teammates for a given task.

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 software delivery?▼

To orchestrate multiple AI agents for software delivery, you can spawn specialized agent teams to tackle complex tasks with diverse perspectives across UX, architecture, security, and QA workflows.

What is the best way to assign specific roles to AI agents for code review?▼

Assigning specific roles to AI agents for code review is handled by configuring model role assignments within your agent team, ensuring plan-driven execution and specialized analysis from teammates like Security and Code Reviewer.

Can I use AI agent teams for both parallel analysis and sequential pipelines?▼

Yes, AI agent teams support both parallel analysis for accelerating feature delivery and sequential pipelines to ensure plan-driven execution across multidisciplinary project phases.

How do I spawn an AI agent team for security and QA workflows?▼

You can spawn an AI agent team for security and QA workflows by instructing the AI to create a team with specified teammates, enabling collaboration across perspectives to synthesize outcomes.

Does multi-disciplinary AI analysis require manual plan approvals?▼

Multi-disciplinary AI analysis satisfies requirements for plan approvals and progress tracking, allowing you to verify outputs across UX, architecture, security, and QA before finalizing delivery.

Why use specialized AI teammates for complex feature delivery?▼

Using specialized AI teammates for complex feature delivery enables parallel analysis and synthesis across diverse perspectives, accelerating high-quality code generation while maintaining verification across UX, architecture, security, and QA.