managing-relevance-workforces

Create, configure, trigger, and debug multi-agent workforce graphs via MCP tools.

1|Updated Mar 12, 2026
One-click install
npx skills add https://github.com/RelevanceAI/agent-skills --skill managing-relevance-workforces
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: managing-relevance-workforces
Source: https://github.com/RelevanceAI/agent-skills/tree/main/reference/managing-relevance-workforces
Command: npx skills add https://github.com/RelevanceAI/agent-skills --skill managing-relevance-workforces

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Orchestrates multi-agent workforces by enabling end-to-end creation, configuration, triggering, and debugging of workforce graphs.

Core Features & Use Cases

  • Create workforces and attach agents
  • Configure edges and handovers, trigger execution, and debug runs
  • Use MCP tools to manage, monitor, and adjust pipelines

Quick Start

Create a workforce with relevance_create_workforce, trigger it with relevance_trigger_workforce, and inspect results with relevance_get_workforce_task_messages.

Frequently Asked Questions about managing-relevance-workforces

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

FAQPage Schema
How do I orchestrate multi-agent workforces end-to-end?

You orchestrate multi-agent workforces by creating workforce graphs, linking agents with edges, configuring handovers, and triggering execution using MCP tools like relevance_create_workforce and relevance_trigger_workforce.

What is a multi-agent workforce graph and when do I need one?

A multi-agent workforce graph connects independent agents into an execution pipeline. You need one when building end-to-end pipelines that require passing tasks between agents via configured handovers and MCP-managed orchestration.

How do I debug a multi-agent workforce execution that is not working?

Debug workforce execution by inspecting task messages and validating behavior using the relevance_get_workforce_task_messages MCP tool, which retrieves detailed outputs from triggered workforce runs for troubleshooting.

Can I configure agent handovers and edges in a workforce pipeline?

Yes, configuring edges and handovers between agents is a core feature. You link agents within the workforce graph to define execution paths and manage how tasks pass through the MCP-managed pipeline.

What MCP tools do I need to manage and trigger workforce pipelines?

You need MCP tools including relevance_create_workforce to build the graph, relevance_trigger_workforce to start execution, and relevance_get_workforce_task_messages to monitor and adjust pipeline results.