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zhaozengqing4364-bit
zhaozengqing4364-bitCOMMUNITY
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trace

Visualize session event timelines and summarize agent interaction flows.

Updated Jan 16, 2026
Search Tags:#debugging#timeline#analytics#agent#flow#session
One-click install
npx skills add https://github.com/zhaozengqing4364-bit/sales-training-qoder --skill trace-zhaozengqing4364-bit
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: trace
Source: https://github.com/zhaozengqing4364-bit/sales-training-qoder/tree/main/.codex/skills/trace
Command: npx skills add https://github.com/zhaozengqing4364-bit/sales-training-qoder --skill trace-zhaozengqing4364-bit

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill enables users to visualize and analyze the sequence of interactions among hooks, keywords, skills, agents, and tools during a session, facilitating troubleshooting and understanding complex workflows.

Core Features & Use Cases

  • Flow Timeline Visualization: Generate detailed chronological timelines of session events to identify bottlenecks and flow patterns.
  • Session Summary Analytics: Provide aggregate statistics like hook fire counts, keyword detections, mode transitions, and tool performance metrics.
  • Use Case: A developer wants to review session logs to optimize agent response times and understand mode transitions within a chatbot.

Quick Start

Use the trace skill to view the latest session timeline and summary analysis in order to diagnose flow issues.

Frequently Asked Questions about trace

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

FAQPage Schema
How do I visualize agent interaction flows during a session for debugging?▼

To visualize agent interaction flows for debugging, you need a tool that generates chronological timelines of session events. This involves tracking sequences of hooks, keywords, skills, and tools to identify bottlenecks and understand complex multi-component workflows.

What is the best way to analyze agent session timelines and performance metrics?▼

Analyzing agent session timelines and performance metrics requires reviewing chronological event sequences to identify flow patterns. You can generate aggregate statistics like hook fire counts, keyword detections, and mode transitions to optimize response times.

Can I use session summary analytics to troubleshoot complex chatbot workflows?▼

Yes, session summary analytics can troubleshoot complex chatbot workflows by providing aggregate statistics on tool performance and mode transitions. This helps developers review session logs to understand interactions and optimize agent response times.

How do I identify bottlenecks in multi-component agent systems?▼

Identifying bottlenecks in multi-component agent systems requires generating detailed chronological timelines of session events. By visualizing the sequence of interactions among hooks, keywords, and tools, you can pinpoint flow pattern issues.

Do I need specific tools to display agent flow timelines?▼

Yes, displaying agent flow timelines requires tools that can map chronological session event sequences and generate summary analytics. These tools visualize interactions among hooks, keywords, skills, agents, and tools to facilitate troubleshooting.

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