agent-builder

Create and register AI agents with templates in a central registry.

1|Updated Jan 10, 2026
One-click install
npx skills add https://github.com/ai-service-incubator/celebrities-shorts-video --skill agent-builder-ai-service-incubator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-builder
Source: https://github.com/ai-service-incubator/celebrities-shorts-video/tree/main/.claude/skills/agent-builder
Command: npx skills add https://github.com/ai-service-incubator/celebrities-shorts-video --skill agent-builder-ai-service-incubator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Agent Builder enables teams to create, split, and manage AI agents programmatically, centralizing coordination and governance for multi-agent systems.

Core Features & Use Cases

  • Create base and sub-agents with template-driven configuration.
  • Split existing agents into specialized sub-agents and auto-assemble teams.
  • Maintain a central registry of agents, teams, and routing flows to ensure consistency.

Quick Start

Create a new agent using a selected template and register it within the central registry to begin team orchestration.

Frequently Asked Questions about agent-builder

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

FAQPage Schema
How do I orchestrate multi-agent systems programmatically?

Multi-agent orchestration is achieved by organizing programmable AI agents into structured teams and workflows, using templates and a central registry to ensure consistent configuration and routing across projects.

What is the best way to split existing AI agents into specialized sub-agents?

Splitting AI agents into specialized sub-agents involves using template-driven configuration to define new sub-agents and auto-assembling them into coordinated teams, which are then tracked in a central registry for consistent routing.

How do I maintain consistent configuration when scaling multi-agent coordination?

Scaling multi-agent coordination requires maintaining a central registry of agents, teams, and routing flows, defining agents with frontmatter metadata and templates to ensure consistent configuration and governance across projects.

Do I need a central registry to manage AI agent workflows?

A central registry is needed to manage AI agent workflows because it tracks agents, teams, and routing flows, ensuring consistent configuration and centralized governance for multi-agent systems.

When should I use template-driven configuration for AI agent orchestration?

Template-driven configuration for AI agent orchestration should be used when creating base and sub-agents, ensuring structured teams and workflows are auto-assembled with consistent frontmatter metadata across coordinated projects.