team-builder

Discover persona markdown files and dispatch parallel AI agents with synthesized reports.

Updated Sep 13, 2025
One-click install
npx skills add https://github.com/llmh333/employee_management_spring --skill team-builder-llmh333
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: team-builder
Source: https://github.com/llmh333/employee_management_spring/tree/main/.gemini/skills/team-builder
Command: npx skills add https://github.com/llmh333/employee_management_spring --skill team-builder-llmh333

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the problem of quickly choosing the right AI personas and coordinating multiple independent outputs without manually setting up each agent.

Core Features & Use Cases

  • Dynamic Agent Discovery: Probes markdown persona files from both project-local and global agent directories, then deduplicates by extracted agent name.
  • Domain-Based and Fuzzy Selection: Lets users pick one or more domains, select by agent names, or use flexible inputs like “1,3” or “security + seo”.
  • Parallel Agent Dispatch + Synthesis: Runs selected agents in parallel, then synthesizes findings by agent and summarizes agreements, conflicts, and next steps.

Quick Start

Use the team-builder Skill to compose the best agent lineup by saying: “Pick engineering and marketing agents, then review the requirements for my system design and list risks, gaps, and recommendations.”

Frequently Asked Questions about team-builder

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

FAQPage Schema
How do I run parallel multi-agent orchestration for independent expert perspectives?

Parallel multi-agent orchestration is executed by dynamically discovering persona markdown files, letting you select domains or specific agent names, and dispatching up to five agents simultaneously via the Agent tool.

What is the best way to select AI personas for ad-hoc multi-domain tasks?

The best way to select AI personas is through dynamic agent discovery, which probes project-local and global directories for markdown files, deduplicates by name, and allows flexible domain-based or fuzzy inputs like “1,3” or “security + seo”.

How does multi-agent synthesis handle agreements and tensions from parallel outputs?

Multi-agent synthesis handles agreements and tensions by running selected agents in parallel, then generating unified reporting that summarizes findings by each agent and highlights agreements, conflicts, and next steps.

Do I need YAML frontmatter to use markdown persona files for agent selection?

Yes, you need YAML frontmatter containing name and description fields in your markdown persona files to enable dynamic probing, deduplication, and proper agent selection during team synthesis.

What are the limitations on parallel agent dispatch for multi-agent orchestration?

Parallel agent dispatch is limited to a maximum of five agents selected from deduplicated persona markdown files, ensuring focused multi-agent orchestration and unified reporting without overwhelming the Agent tool.

Can I use fuzzy inputs to pick agents from different domains for workflow automation?

Yes, you can use fuzzy inputs to pick agents from different domains for workflow automation, allowing flexible selections like specific agent names, domain lists, or index numbers to build your parallel team instantly.