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HaydernCenterpoint
HaydernCenterpointCOMMUNITY
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trace

Display the agent flow trace timeline and summary for the current session.

Updated Aug 23, 2026
Search Tags:#workflow#timeline#logging#skills#agent#debug#trace
One-click install
npx skills add https://github.com/HaydernCenterpoint/oh-my-qwen --skill trace-hayderncenterpoint
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: trace
Source: https://github.com/HaydernCenterpoint/oh-my-qwen/tree/main/skills/trace
Command: npx skills add https://github.com/HaydernCenterpoint/oh-my-qwen --skill trace-hayderncenterpoint

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps engineers and operators understand and debug AI agent interactions by generating a clear trace of hooks, keywords, skills, agents, and tools across sessions.

Core Features & Use Cases

  • Visual trace timeline: Show chronological events of the session to pinpoint where decisions and actions occurred.
  • Aggregate insights: Summarize counts of hooks fired, keywords detected, skills activated, and tool performance.
  • Use Case: When debugging a complex prompt where multiple skills and agents interact, this trace provides clear context and bottlenecks.

Quick Start

Run the trace to display the latest session timeline and summary.

Frequently Asked Questions about trace

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

FAQPage Schema
How do I debug AI agent interactions across multiple sessions?▼

To debug AI agent interactions, you can generate a chronological trace timeline that displays hooks, keywords, skills, agents, and tools, helping you pinpoint where decisions and actions occurred within the session.

What is an agent flow execution timeline and how does it work?▼

An agent flow execution timeline visualizes chronological events of a session to pinpoint where decisions and actions occurred. It aggregates statistics using trace_timeline and trace_summary tools to show counts of hooks fired and tools used.

How do I visualize the execution timeline of skills and tools in an AI agent?▼

You can visualize the execution timeline by running a trace to display the latest session timeline and summary. This shows chronological events of hooks, skills, agents, and tools to pinpoint bottlenecks in complex prompts.

Can I get aggregate statistics for hooks fired and keywords detected during a session?▼

Yes, you can get aggregate insights that summarize counts of hooks fired, keywords detected, skills activated, and tool performance. This is achieved by using the trace_summary tool on the current session.

Does this agent trace visualization tool require any external dependencies?▼

No, this agent trace visualization tool requires no external dependencies. It operates independently to display the session timeline and summary for debugging complex interactions across sessions.

When should I use a trace timeline for debugging complex prompts?▼

You should use a trace timeline when debugging a complex prompt where multiple skills and agents interact. It provides clear context and identifies bottlenecks by showing chronological events and aggregate statistics.

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