Do I need a live system to use this skill?

No, this skill is designed for post-mortem analysis of extracted sosreport directories, making it ideal for remote troubleshooting.

How does it help with disk space issues?

It parses outputs from commands like 'df' and 'lsblk' to identify filesystems exceeding critical capacity thresholds and checks logs for related I/O errors.

What is the Resource Analysis skill for Claude Code?

It is a specialized capability that enables Claude to parse and interpret Linux system metrics stored within sosreport diagnostic archives.

Which specific Linux files does this skill analyze?

It targets key diagnostic files including /proc/meminfo, /proc/cpuinfo, uptime, and various outputs in the sos_commands directory like free and ps_auxwww.

Can it detect Out-of-Memory (OOM) events?

Yes, it specifically scans memory statistics and system logs within the sosreport directory to identify OOM killer triggers and memory pressure.

Resource Analysis for sosreport

Name: Resource Analysis for sosreport
Author: openshift-eng

byopenshift-eng

•

Analíticas y Monitorización

Analyzes system resource usage data from sosreport archives to diagnose performance bottlenecks and resource exhaustion.

The Resource Analysis skill provides a standardized framework for Claude to perform deep-dive forensics on Linux system metrics contained within sosreport archives. By systematically parsing memory statistics, CPU load averages, disk utilization, and process snapshots, it enables automated identification of critical bottlenecks such as OOM killer events, CPU throttling, and filesystem saturation. This skill is essential for SREs and system administrators who need to quickly correlate resource exhaustion patterns with system failures without manually grep-ing through massive diagnostic bundles.

Características Principales

01Comprehensive disk space diagnostics for root and auxiliary filesystems

02CPU load average interpretation and thermal throttling identification

0329 GitHub stars

04Top process consumer identification for CPU and memory spikes

05Correlation of resource metrics with system log timestamps

06Automated memory usage calculation and OOM killer event detection

Casos de Uso

01Troubleshooting application latency and performance degradation in Linux environments

02Capacity planning and identifying runaway processes or memory leaks

03Diagnosing the root cause of unexpected system crashes or service reboots

Características Principales

01Comprehensive disk space diagnostics for root and auxiliary filesystems

02CPU load average interpretation and thermal throttling identification

0329 GitHub stars

04Top process consumer identification for CPU and memory spikes

05Correlation of resource metrics with system log timestamps

06Automated memory usage calculation and OOM killer event detection

Casos de Uso

01Troubleshooting application latency and performance degradation in Linux environments

02Capacity planning and identifying runaway processes or memory leaks

03Diagnosing the root cause of unexpected system crashes or service reboots