Generate structured Linux diagnostic plans for CPU, memory, disk, and network issues.
npx skills add https://github.com/s4kr4/dotfiles --skill linux-diag
Please help me install this Agent Skill. Skill: linux-diag Source: https://github.com/s4kr4/dotfiles/tree/main/.claude/skills/linux-diag Command: npx skills add https://github.com/s4kr4/dotfiles --skill linux-diag
Linux system problems such as slow performance, unresponsiveness, or unexpected errors are common and often require methodical investigation. This Skill provides a structured knowledge base with diagnostic steps and reference material to guide users through CPU, memory, disk, network, process, service, log, GPU/NVIDIA, graphics (xrdp), and Docker/container issues.
Start with baseline checks: uptime, free -h, df -h, top -b -n1, dmesg | tail -30, and journalctl -p err -n 20 to surface immediate issues; then consult the referenced COMMANDS.md and FLOWCHART.md for deeper diagnostics.
High-intent search queries and answers about installing and using this skill.
Diagnose Linux performance issues by running baseline commands: uptime, free -h, df -h, top -b -n1, dmesg | tail -30, and journalctl -p err -n 20 to identify CPU, memory, disk, or service bottlenecks. Then consult structured flowcharts and diagnostic commands for CPU, memory, disk, network, and process analysis to isolate root causes.
Use structured diagnostics across CPU (top, mpstat), memory (free, vmstat), disk (df, iostat), network (netstat, ss), processes (ps, lsof), services (systemctl status, journalctl), and GPU/container metrics to methodically identify which subsystem is unresponsive. The Skill codifies these commands into an actionable step-by-step plan.
Yes. The Skill covers diagnostics for Docker containers, NVIDIA GPU, and graphics (xrdp) performance alongside traditional CPU, memory, disk, network, and service checks. It provides commands and flowcharts tailored to container and GPU troubleshooting scenarios.
Follow the Skill's structured flowcharts and reference commands across eight diagnostic categories—CPU, memory, disk, network, processes, services, logs, and GPU/graphics. Each category contains methodical checks to surface immediate issues and guide deeper investigation to identify error sources safely.
Start with quick baseline checks: uptime, free -h, df -h, top -b -n1, dmesg | tail -30, and journalctl -p err -n 20 to surface immediate errors and resource constraints. These reveal whether issues stem from CPU, memory, disk saturation, or service failures before deeper diagnostics.
Yes. The Skill includes structured diagnostics for network connectivity and service health alongside CPU, memory, disk, and process checks. It provides commands and flowcharts to isolate network bottlenecks and service failures contributing to slowdowns or errors.
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