orchestrator

Coordinate specialized subagents through gate-based workflows with structured results.

14|7|Updated Dec 4, 2025

Search Tags:#automation #workflow #tdd #pipeline #ai-agent #orchestrator #gate

Ready to run

npx skills add https://github.com/aj-geddes/unicorn-team --skill orchestrator-aj-geddes

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: orchestrator
Source: https://github.com/aj-geddes/unicorn-team/tree/main/skills/orchestrator
Command: npx skills add https://github.com/aj-geddes/unicorn-team --skill orchestrator-aj-geddes

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Orchestrator coordinates a team of specialized subagents to execute complex tasks end-to-end, delegating work, gating progress, and synthesizing results.

Core Features & Use Cases

Coordination of multi-agent pipelines (SIMPLE-FEATURE, COMPLEX-FEATURE, BUG-FIX, ARCHITECTURE, REVIEW, DEPLOY, NEW-TECH, PARALLEL)
Strict gate-based execution with parallelization where appropriate
TDD enforcement, self-review, and structured result reporting

Quick Start

Describe a task clearly and let the orchestrator spawn agents, enforce gates, and return a structured result.

Frequently Asked Questions about orchestrator

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

FAQPage Schema

How do I coordinate multiple AI agents to execute a complex feature implementation?▼

To coordinate AI agents for feature implementation, you describe the task clearly and an orchestrator spawns specialized subagents to handle design, development, QA, and operations. It enforces a gate-based workflow and returns structured results with artifacts.

What is a gate-based workflow for multi-agent pipelines?▼

A gate-based workflow for multi-agent pipelines enforces strict progress checkpoints where specialized subagents must pass validation before proceeding. This ensures self-review, test-driven development, and sequential or parallel execution gating for complex tasks.

Can I use test-driven development to validate tasks across parallel AI agent pipelines?▼

Yes, you can use test-driven development to validate tasks across parallel AI agent pipelines. The orchestrator enforces TDD validation and self-review gates during execution, ensuring subagents meet test requirements before synthesizing final structured results.

Does the orchestrator support architecture decisions and bug fixes?▼

Yes, the orchestrator supports architecture decisions and bug fixes by delegating these multi-domain tasks to specialized subagents. It coordinates the necessary design, development, and QA pipelines, enforcing gates and returning a structured summary with artifacts.

How do I automate deployments and reviews using a multi-agent AI workflow?▼

You automate deployments and reviews by defining the task for the orchestrator, which then spawns specialized subagents for the DEPLOY or REVIEW pipelines. It gates progress, validates execution, and synthesizes the structured deployment or review results.

When should I not use a multi-agent orchestrator for software engineering tasks?▼

You should not use a multi-agent orchestrator for simple or single-domain software engineering tasks that do not require multi-agent coordination. The orchestrator is designed for complex, end-to-end projects needing parallel pipelines, gate enforcement, and specialized subagent delegation.