swarm-up

Define and manage multi-agent AI workflows with YAML configuration.

16|4|Updated Jan 27, 2026

Search Tags:#automation #workflow #multi-agent #orchestration #pipeline #dependency

Ready to run

npx skills add https://github.com/mj1618/swarm-cli --skill swarm-up

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: swarm-up
Source: https://github.com/mj1618/swarm-cli/tree/main
Command: npx skills add https://github.com/mj1618/swarm-cli --skill swarm-up

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a comprehensive system for managing complex multi-agent AI workflows, reducing manual coordination and debugging efforts.

Core Features & Use Cases

Workflow Orchestration: Define and run multi-step, dependent agent pipelines using YAML compose files.
Lifecycle Management: Automate agent startup, pausing, resuming, cloning, and termination with dependency conditions.
Use Case: An AI team sets up a multi-stage content review pipeline, where each agent's output triggers the next, ensuring high-quality, automated content moderation.

Quick Start

Configure swarm.yaml with your tasks and pipelines, then execute swarm up -d to launch the orchestration in the background.

Frequently Asked Questions about swarm-up

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

FAQPage Schema

How do I orchestrate multi-agent AI workflows with dependencies?▼

You orchestrate multi-agent AI workflows by defining tasks and pipelines in a YAML configuration file, which manages agent dependencies and lifecycle controls for automated execution.

Can I manage agent lifecycle states like pausing and resuming in an AI pipeline?▼

Yes, you can manage agent lifecycle states including startup, pausing, resuming, cloning, and termination by setting dependency conditions within your YAML compose configuration.

What is the best way to debug complex multi-agent AI pipelines?▼

The best way to debug complex multi-agent pipelines is using orchestration tools that support iterative development, validation, and dependency scripting to isolate and monitor task failures.

How do I set up an automated content review pipeline using AI agents?▼

Set up an automated content review pipeline by configuring a YAML file with multi-stage dependent agents, where each agent's output triggers the next to ensure high-quality moderation.

Do I need to write code to manage complex AI task workflows?▼

No, you do not need to write complex code; you can define, manage, and monitor complex AI task workflows declaratively using YAML configuration and dependency conditions.

How do I run AI orchestration tasks in the background?▼

You run AI orchestration tasks in the background by configuring your swarm YAML file with tasks and pipelines, then executing the launch command with a detached background flag.