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derekhu0002
derekhu0002COMMUNITY
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team-builder

Discover markdown agent personas and spawn parallel teams for task execution.

Updated Mar 1, 2026
Search Tags:#workflow#agents#prompts#parallel-execution#team-assembly#domain-layout
One-click install
npx skills add https://github.com/derekhu0002/ai4pb-orchestrator --skill team-builder-derekhu0002
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: team-builder
Source: https://github.com/derekhu0002/ai4pb-orchestrator/tree/main/skills/team-builder
Command: npx skills add https://github.com/derekhu0002/ai4pb-orchestrator --skill team-builder-derekhu0002

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Team collaboration with AI agents can be slow and error-prone when manually selecting from a pool. The Team Builder streamlines discovery, domain inference, and parallel execution to assemble ready-to-use agent teams.

Core Features & Use Cases

  • Discover available agent personas from flat or domain-subdirectory layouts.
  • Browse domains, select up to five agents, and spawn them in parallel for task execution.
  • Synthesize cross-agent results into a unified report with clear next steps.
  • Use case: quickly assemble a Security Engineer + SEO Specialist team to audit a site and generate a wrap-up report.

Quick Start

Describe the task and let the tool instantiate a parallel team from available agent personas.

Frequently Asked Questions about team-builder

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

FAQPage Schema
How do I assemble multiple AI agents for parallel task execution?▼

You can assemble multi-domain agent teams for parallel execution by discovering markdown-based agent personas, selecting up to five agents, and spawning them simultaneously to synthesize a unified results report.

How does domain inference work for agent personas in subdirectory layouts?▼

Domain inference for agent personas works by reading the folder structure of your subdirectory layouts, automatically categorizing each markdown persona so you can browse domains and assemble teams without manual tagging.

Can I use markdown-based agent personas with a flat folder layout?▼

Yes, the tool works with both flat and subdirectory layouts, discovering available markdown-based agent personas and inferring domains from the folder structure to enable on-demand parallel spawning.

What is the maximum number of agents I can spawn in parallel for a single task?▼

You can spawn up to five agents in parallel for a single task, with the workflow implementing constrained selection and synthesized results to handle cross-agent outputs and edge cases gracefully.

How do I synthesize cross-agent results into a unified report?▼

Cross-agent results are synthesized into a unified report automatically after parallel execution completes, providing clear next steps by merging the outputs from the spawned multi-domain agent team.

Why does manual agent selection slow down multi-domain team assembly?▼

Manual agent selection slows down multi-domain team assembly because discovering personas, inferring domains, and spawning execution individually introduces errors and latency compared to automated parallel spawning.

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