agent-orchestrator

Coordinate multi-agent loops to execute parallel tasks and verify handovers.

Updated Jun 21, 2026
One-click install
npx skills add https://github.com/apexradius/agentic-os --skill agent-orchestrator-apexradius
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-orchestrator
Source: https://github.com/apexradius/agentic-os/tree/main/skills/agent-orchestrator
Command: npx skills add https://github.com/apexradius/agentic-os --skill agent-orchestrator-apexradius

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

The agent-orchestrator Skill simplifies complex multi-agent workflows, automating orchestration tasks, parallel execution, and verification to increase productivity.

Core Features & Use Cases

  • Multi-Agent Orchestration: Coordinate multiple agents to execute complex tasks in parallel.
  • Parallel Execution: Fan out skeptical recon across multiple workers for rapid discovery.
  • Durable Ledger Synthesis: Maintain a verifiable and durable ledger of tasks and outcomes.
  • Use Case: Ideal for complex engineering projects that require the coordination of multiple tasks and teams, such as large-scale software development or scientific research.

Quick Start

Run the agent-orchestrator Skill with a workflow description as an argument.

Frequently Asked Questions about agent-orchestrator

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

FAQPage Schema
How do I coordinate multiple AI agents for parallel task execution?▼

Multi-agent orchestration coordinates multiple agents to execute complex tasks in parallel. It uses coordination loops to fan out work across workers, gates decisions, and verifies task handovers to manage complex engineering projects efficiently.

What is a durable ledger in multi-agent workflow orchestration?▼

A durable ledger in multi-agent workflows maintains a verifiable, persistent record of tasks and outcomes. It synthesizes coordination loops and task handovers, ensuring that complex parallel execution across multiple agents remains traceable and verifiable.

How do I sequence directed acyclic graphs for complex task coordination?▼

Sequencing directed acyclic graphs for complex task coordination requires a structured workflow description as input. The orchestration engine processes this description to sequence the graph, execute parallel work, and gate decisions across the workflow.

Can I use multi-agent orchestration for large-scale software development?▼

Multi-agent orchestration is ideal for large-scale software development and scientific research. It automates the coordination of multiple tasks and teams, fanning out parallel execution and verifying handovers to increase engineering productivity.

Do I need a structured workflow description to run multi-agent coordination?▼

A structured workflow description is required as input to run multi-agent coordination. The orchestration engine uses this structured input to manage parallel execution, synthesize durable ledgers, gate decisions, and verify task handovers across agents.

When should I not use multi-agent orchestration for task coordination?▼

Multi-agent orchestration should not be used for simple, linear tasks that lack complex coordination requirements. It is designed for parallel execution, durable ledger synthesis, and directed acyclic graph sequencing, making it excessive for basic single-agent workflows.