Visualize chronological event timelines of hooks, keywords, skills, agents, and tools.
npx skills add https://github.com/riethmayer/dotfiles --skill trace-riethmayer
Please help me install this Agent Skill. Skill: trace Source: https://github.com/riethmayer/dotfiles/tree/main/stow/agents/.agents/skills/trace Command: npx skills add https://github.com/riethmayer/dotfiles --skill trace-riethmayer
Show the agent flow timeline and summarize how hooks, keywords, skills, agents, and tools interact during a session.
Run the trace skill on your most recent session to display its timeline and summary.
High-intent search queries and answers about installing and using this skill.
To debug an agent workflow, you need to visualize the agent interaction timeline by tracing chronological events. This process identifies the sequence of interactions between hooks, keywords, skills, agents, and tools to reveal exact decision paths and bottlenecks during a session.
Profiling tool performance across agent sessions requires aggregating chronological event data into summary statistics. By auditing the sequence of tool interactions and transitions, you generate a concise summary that highlights execution patterns, mode transitions, and failure points to improve reliability.
Auditing agent decision paths involves mapping the chronological sequence of events when hooks, keywords, and tools interact. By generating a timeline of these interactions, you can review end-to-end flows and identify exactly where mode transitions or failures occur within the session.
Yes, you can generate aggregate statistics for an agent workstream by summarizing how hooks, skills, agents, and tools interact. This produces a concise summary of decisions, transitions, and tool usage, allowing you to quickly review performance and identify bottlenecks across sessions.
Identifying bottlenecks and failure points in an agent workflow requires visualizing the chronological timeline of tool and agent interactions. By tracing these events, you isolate mode transitions and specific failure points to improve overall reliability and performance across the session.
No specific dependencies are required to trace agent interactions. The process relies on internal trace tools to produce a chronological timeline and aggregate statistics, allowing you to debug workstreams and audit decision paths without external setup or environment configuration.
byonk19-svgTrace agent interaction timelines with filtering by event type.
lis186Trace business logic execution paths from a given entry point.
andrew-t-jamesGenerate chronological timelines and summaries of hooks, skills, agents, and tools.
pextacyGenerate a chronological timeline of agent session events using MCP tools.
