Generate time-series plots from log files using regular expressions and gnuplot.
npx skills add https://github.com/michalkucharczyk/plox --skill plox
Please help me install this Agent Skill. Skill: plox Source: https://github.com/michalkucharczyk/plox/tree/main/misc/claude-skill Command: npx skills add https://github.com/michalkucharczyk/plox --skill plox
This Skill transforms raw, timestamped log files into insightful visual graphs, making it easy to understand trends, identify anomalies, and monitor system performance.
duration metrics. Use this Skill to plot the duration over time to identify performance bottlenecks.Use the plox skill to graph the 'duration' from the attached file 'app.log'.
High-intent search queries and answers about installing and using this skill.
You can visualize log data over time by using regular expressions to parse timestamped log files and generate time-series plots of numeric fields. This allows you to track metrics like duration against time to identify trends.
Yes, comparing metrics across multiple log files is supported. You can generate visual graphs that plot data from multiple log sources side-by-side using multi-panel layouts to help identify anomalies.
Yes, you need gnuplot to generate time-series plots from application logs. It is required specifically for PNG output, and you also need the plox CLI tool to process the log data and handle the plotting.
The best way to track events in log data is to use configurable parsing to mark specific events or count their occurrences over time. This transforms raw, timestamped log files into insightful visual graphs for monitoring.
Regular expression parsing works by matching patterns in your timestamped log files to extract numeric fields and event markers. This configurable parsing enables you to plot time deltas and generate statistical visualizations.
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