Define and manage multi-agent AI workflows with YAML configuration.
npx skills add https://github.com/mj1618/swarm-cli --skill swarm-up
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
This Skill provides a comprehensive system for managing complex multi-agent AI workflows, reducing manual coordination and debugging efforts.
Configure swarm.yaml with your tasks and pipelines, then execute swarm up -d to launch the orchestration in the background.
High-intent search queries and answers about installing and using this skill.
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.
Yes, you can manage agent lifecycle states including startup, pausing, resuming, cloning, and termination by setting dependency conditions within your YAML compose configuration.
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.
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.
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.
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.
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