team-builder

Coordinate multiple agent personas into parallel teams and synthesize results.

Updated Apr 13, 2026
One-click install
npx skills add https://github.com/sakamoto-family-smile/agent_monorepo --skill team-builder-sakamoto-family-smile
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: team-builder
Source: https://github.com/sakamoto-family-smile/agent_monorepo/tree/main/.claude/skills/ecc/team-builder
Command: npx skills add https://github.com/sakamoto-family-smile/agent_monorepo --skill team-builder-sakamoto-family-smile

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Interactive tool to browse and compose agent teams from a pool of agent personas, enabling on-demand collaboration across domains.

Core Features & Use Cases

  • Dynamic team selection from domain-based or flat layouts with automatic domain inference.
  • Parallel execution of agent tasks and consolidated results for faster decision making.
  • Use Case: A product manager assembles Security and SEO teammates to validate a web app quickly.

Quick Start

Pick two agents from Engineering and Marketing and run them in parallel on the current task.

Frequently Asked Questions about team-builder

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

FAQPage Schema
How do I coordinate multiple AI agents for parallel problem solving?

Multi-agent orchestration coordinates multiple agent personas into on-demand teams to drive parallel problem solving. It dynamically selects agents based on inferred domains, spawns them simultaneously via the Agent tool, and synthesizes their individual outputs into a final report.

Can I assemble AI teams from both flat and domain-subdirectory agent collections?

Yes, the team builder supports both flat and domain-subdirectory agent collections. It uses dynamic domain inference to automatically categorize and select agents, allowing you to compose specialized teams across different organizational layouts seamlessly.

What is the best way to validate a web app across different domains like Security and SEO?

The best way to validate a web app across domains is to assemble a specialized team, such as Security and SEO agent personas, and run them in parallel. This simultaneously executes tasks and consolidates results for faster decision making.

How does agent orchestration handle errors during parallel execution?

Agent orchestration handles errors during parallel execution through per-agent error handling. This isolates failures so that if one spawned agent encounters an issue, it is managed independently without halting the broader workflow or preventing the final result synthesis.

Do I need to manually specify domains when building a multi-agent team?

No, manual domain specification is not required when building a multi-agent team. The system features dynamic domain inference that automatically detects the relevant domain context from your task to select appropriate agent personas from your available collections.