team-builder

Name: team-builder
Availability: InStock
Author: Arbisoft

Coordinate parallel AI agents for domain-matched task execution.

4|7|Updated Apr 9, 2026

Search Tags:#automation #workflow #agents #parallel-execution #domain-aware #team-builder

Ready to run

npx skills add https://github.com/arbisoft/ai-skillforge --skill team-builder-arbisoft

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: team-builder
Source: https://github.com/arbisoft/ai-skillforge/tree/main/Claude/skills/team-builder
Command: npx skills add https://github.com/arbisoft/ai-skillforge --skill team-builder-arbisoft

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinating multiple AI agents to tackle complex tasks is often manual, error-prone, and time-consuming; Team Builder automates the selection and parallel deployment of domain-appropriate agents.

Core Features & Use Cases

Interactive domain-aware agent selection from both flat and subdirectory layouts.
Parallel spawning of agents to execute tasks concurrently and reduce turnaround time.
Synthesis of results with failure notes to inform next steps and decisions.

Quick Start

Run the team-builder, select desired agents or domains, describe the task, and launch a parallel agent team.

Frequently Asked Questions about team-builder

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

FAQPage Schema

How do I coordinate parallel AI agents to execute a task?▼

Parallel AI agent execution is automated by dynamically discovering and spawning domain-appropriate agents concurrently. This skill assembles teams by filtering agents across flat or subdirectory collections to match your specific domain needs.

What is the best way to automate workflow selection for multiple AI agents?▼

Automating workflow selection for multiple AI agents requires domain-aware filtering from available agent collections. This skill dynamically discovers agents and assembles a matching team on demand, eliminating manual and error-prone selection processes.

Does team-builder work with agents organized in domain subdirectories?▼

Yes, this skill supports both flat and domain-subdirectory agent layouts. It applies domain-based filtering across these structures to dynamically discover and assemble the appropriate agents for your specific task.

How do I get synthesized results from concurrently spawned agents?▼

To get synthesized results from concurrently spawned agents, the agents execute their designated tasks in parallel and the outputs are consolidated. This skill compiles these results and includes failure notes to inform your next steps.

What are the limitations of dynamically spawning parallel AI agents?▼

A limitation of dynamically spawning parallel AI agents is that individual agents may fail during concurrent execution. This skill addresses this by synthesizing results with explicit failure notes, helping you identify what succeeded and what needs manual intervention.