Parse perf.log metrics and create performance-improvement issues.
npx skills add https://github.com/jiikko/dotfiles --skill perf-analysis
Please help me install this Agent Skill. Skill: perf-analysis Source: https://github.com/jiikko/dotfiles/tree/main/_claude/skills/perf-analysis Command: npx skills add https://github.com/jiikko/dotfiles --skill perf-analysis
This Skill analyzes the ./tmp/perf.log to identify bottlenecks and automatically create performance-improvement Issues.
Run /perf-analysis to begin the analysis. It will read ./tmp/perf.log, generate insights, and file issues under issues/.
High-intent search queries and answers about installing and using this skill.
To identify bottlenecks in performance logs, you can analyze the perf.log file to parse duration_ms, cpu_percent, and mem_mb metrics, pinpointing heavy operations that require optimization.
Yes, you can automatically create performance-improvement issues from a log file by analyzing performance metrics and generating new issues with findings and remediation suggestions in the issues directory.
Analyzing performance bottlenecks in load testing scenarios requires a parsing workflow that computes duration_ms, cpu_percent, mem_mb, and per-operation metrics to accurately review measurable operations.
To generate remediation suggestions for long-running operations, you parse performance logs to surface heavy operations and automatically file targeted optimization tasks with actionable findings.
Yes, detecting performance issues automatically requires a log format located at ./tmp/perf.log that supports parsing workflows to compute duration_ms, cpu_percent, mem_mb, and per-operation metrics.
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kubiyabotValidate tool invocations and command workflows in a minimal testing environment.
ryukyagamilightProfile CPU and memory usage with perf, valgrind, and strace.
