trace-multi-agent-system

Generate a nested span tree trace of multi-agent system interactions.

29|8|Updated Jul 5, 2026
One-click install
npx skills add https://github.com/ContextJet-ai/awesome-llm-observability --skill trace-multi-agent-system
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: trace-multi-agent-system
Source: https://github.com/ContextJet-ai/awesome-llm-observability/tree/main/skills/trace-multi-agent-system
Command: npx skills add https://github.com/ContextJet-ai/awesome-llm-observability --skill trace-multi-agent-system

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill solves the problem of debugging multi-agent systems by providing a clear, navigable trace tree for complex workflows.

Core Features & Use Cases

  • Trace Tree Visualization: Offers a nested span tree view to track the interactions among multiple agents.
  • Agent Debugging: Assists in pinpointing issues in a multi-agent system by highlighting individual agent activities.
  • Use Case: When a user experiences issues with an LLM application involving multiple agents, they can use this Skill to generate a trace of the system's activity to diagnose and resolve problems quickly.

Quick Start

Generate a trace of the current multi-agent system workflow by using the command 'trace-my-agents-system'.

Frequently Asked Questions about trace-multi-agent-system

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

FAQPage Schema
How do I debug a multi-agent system when an LLM application workflow fails?

Debug a multi-agent system by generating a navigable trace tree that visualizes complex interactions and highlights individual agent activities to pinpoint failures. This lets you quickly diagnose and resolve inefficient workflows or errors.

What is a trace tree for visualizing agent systems?

A trace tree is a nested span tree view that tracks and visualizes complex interactions among multiple agents, sub-agents, and tool loops. It provides a clear structure to monitor individual agent activities within LLM applications.

How do I track interactions across multiple agents and tool loops?

Track interactions across multiple agents and tool loops by generating a trace of system activity. This produces a nested span tree view that clearly maps out the workflow and highlights individual agent behaviors.

Can I use this to pinpoint inefficient workflows in LLM applications?

Yes, you can pinpoint inefficient workflows in LLM applications by using trace tree visualization to highlight individual agent activities. This assists in identifying bottlenecks and debugging agent failures within complex systems.

What is the best way to trace sub-agents in a multi-agent system?

The best way to trace sub-agents is to generate a trace of the workflow, which creates a nested span tree visualization. This allows you to navigate complex interactions and debug individual sub-agent activities effectively.

Why does my multi-agent workflow fail without clear error logs?

Multi-agent workflows often fail due to complex interactions between sub-agents and tool loops. Generating a trace tree visualizes these individual agent activities, helping you pinpoint the exact issue and resolve problems quickly.