team-builder

Selects AI agent personas and dispatches them in parallel for complex tasks.

Updated May 9, 2026
One-click install
npx skills add https://github.com/RambleRainbow/jd --skill team-builder-ramblerainbow
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: team-builder
Source: https://github.com/RambleRainbow/jd/tree/main/.claude/skills/team-builder
Command: npx skills add https://github.com/RambleRainbow/jd --skill team-builder-ramblerainbow

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the tedious and error-prone work of manually selecting and coordinating multiple specialized AI agents for complex cross-domain tasks, saving you time and ensuring you leverage the right expertise for every project.

Core Features & Use Cases

  • Dynamic Agent Discovery: Automatically finds all available agent personas from local project or global directories, supporting both flat and subdirectory organization structures.
  • Flexible Selection: Pick agents via domain numbers, specific agent names, or natural language phrases like "security + seo".
  • Parallel Execution & Synthesis: Dispatches up to 5 agents to work simultaneously on your task, then compiles a unified report highlighting agreements, conflicts, and recommended next steps.
  • Use Case: For example, when preparing to launch a new web feature, you can instantly select a security engineer and SEO specialist to review your codebase for vulnerabilities and search optimization gaps at the same time.

Quick Start

Use the team-builder skill to select a security engineer and SEO specialist to review your Next.js e-commerce site before launch.

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 AI agents for cross-domain tasks like security reviews and SEO analysis?

To run parallel AI agents for cross-domain tasks, you can dynamically discover specialized agent personas from local or global directories and dispatch up to five selected agents simultaneously for independent execution.

What is the best way to synthesize outputs from multiple specialized AI agents?

Synthesizing outputs from multiple specialized AI agents involves compiling their independent parallel results into a unified report that explicitly highlights agreements, conflicts, and recommended next steps across all agent outputs.

Can I select multiple agents for a parallel workflow using natural language?

Yes, you can select multiple agents for a parallel workflow using natural language phrases like "security + seo", or by specifying domain index numbers and specific agent personas to rapidly compose your team.

How does agent discovery work for multi-agent workflows?

Agent discovery for multi-agent workflows automatically finds all available agent markdown files from local project or global directories, supporting both flat and subdirectory organizational structures for flexible persona access.

What is the maximum number of parallel agents I can dispatch for complex project planning?

You can dispatch a maximum of five parallel agents simultaneously to handle complex cross-domain tasks like project planning, ensuring independent parallel execution before synthesizing the combined results.