team-builder

Compose and dispatch parallel AI agent teams with unified output reports.

Updated Jun 25, 2026
One-click install
npx skills add https://github.com/sumeetonline90/fitup_all --skill team-builder-sumeetonline90
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: team-builder
Source: https://github.com/sumeetonline90/fitup_all/tree/main/.cursor/skills/team-builder
Command: npx skills add https://github.com/sumeetonline90/fitup_all --skill team-builder-sumeetonline90

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manually selecting, coordinating, and synthesizing outputs from multiple specialized AI agents for complex, multi-faceted tasks is time-consuming and prone to error. This Skill automates the entire workflow from team composition to result consolidation, eliminating manual overhead.

Core Features & Use Cases

  • Dynamic Agent Discovery: Automatically finds available agent personas from local project or global user directories, supporting both flat and subdirectory file layouts.
  • Flexible Team Selection: Lets you pick agents by domain number, name, or natural language phrase, with a built-in 5-agent limit to prevent excessive token usage.
  • Parallel Dispatch & Synthesis: Runs all selected agents simultaneously and combines their outputs into a unified report highlighting agreements, conflicts, and recommended next steps.
  • Use Case: When preparing to launch a new product, use this Skill to quickly assemble a team of a security engineer, SEO specialist, and product strategist to review your site, code, and go-to-market plan in parallel, instead of running each review sequentially.

Quick Start

Use the team-builder skill to assemble a team of a security engineer and SEO specialist to review your pre-launch e-commerce site.

Frequently Asked Questions about team-builder

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

FAQPage Schema
How do I run multiple AI agents in parallel for cross-domain collaboration?

To run multiple AI agents in parallel for cross-domain collaboration, this Skill dynamically discovers agent personas from local or global directories and dispatches up to 5 selected agents simultaneously. It synthesizes their outputs into a unified report highlighting agreements, conflicts, and recommended next steps.

What is the best way to synthesize outputs from a multi-agent team?

The best way to synthesize outputs from a multi-agent team is using parallel dispatch to execute tasks simultaneously. This approach automatically consolidates cross-domain expertise into a single report, highlighting agreements, conflicts, and recommended next steps without manual overhead.

Can I select AI agents for my team using natural language input?

Yes, you can select AI agents for your team using natural language input, domain number, or agent name. The Skill dynamically discovers available personas from local project or global user directories to assemble your specialized team quickly.

How many specialized AI agents can I include in a parallel dispatch team?

You can include a maximum of 5 specialized AI agents in a parallel dispatch team. This limit is enforced to prevent excessive token usage while still allowing robust cross-domain collaboration and workflow synthesis.

Does dynamic discovery for agent personas support subdirectory file layouts?

Yes, dynamic discovery for agent personas supports both flat and subdirectory file layouts. It automatically finds available specialized agents from your local project or global user directories to facilitate flexible team selection.