Generate a timeline and summary of session events using internal monitoring tools.
npx skills add https://github.com/tuandzung/flink-k8s-ui --skill trace-tuandzung
Please help me install this Agent Skill. Skill: trace Source: https://github.com/tuandzung/flink-k8s-ui/tree/main/.codex/skills/trace Command: npx skills add https://github.com/tuandzung/flink-k8s-ui --skill trace-tuandzung
The trace Skill addresses the need for a detailed view of session interactions, providing insights into how different components, such as hooks, skills, and agents, interact to offer efficient debugging and analysis of session flows.
Utilize the trace Skill to generate a trace timeline and summary for your current session with the command 'trace_timeline'.
High-intent search queries and answers about installing and using this skill.
Trace session interactions by monitoring the sequence of events across components like hooks and agents. This generates a detailed chronological timeline and summary statistics to pinpoint performance bottlenecks and analyze session flows efficiently.
Event tracking for session analysis monitors how different components interact within a system. You need it when debugging complex session flows, identifying unusual interaction patterns, or understanding performance anomalies across hooks, skills, and agents.
Generate a timeline visualization of session events by running the 'trace_timeline' command. This produces a chronological view of component interactions, allowing you to identify patterns and anomalies within your current session flow.
Yes, interaction tracing monitors events across various system components including hooks, skills, and agents. It utilizes internal monitoring tools to capture their interactions and presents a detailed timeline and aggregated performance overview.
Analyze session flow and identify performance bottlenecks by aggregating session statistics into a performance overview. This approach traces the sequence of component interactions, highlighting unusual patterns and inefficiencies within the system.
Unusual interaction patterns between components occur when hooks, skills, or agents behave unexpectedly during a session. Tracing the chronological sequence of these events helps pinpoint the exact interaction causing the anomaly.
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chrisxue90Visualize agent flow timelines and aggregate session statistics.
gaebalaiDesign system monitoring metrics using RED and USE methodologies.
JustineDevsVisualize agent execution flows with chronological timelines and performance statistics.
