Agent skill · data analytics · aiskillstore
monitoring-analytics
Monitor Proxmox infrastructure health and performance. Track node statistics, analyze resource utilization, and identify optimization opportunities across your cluster.
Why this skill is useful
Provides specific commands and workflows for monitoring Proxmox infrastructure that the AI wouldn't reliably generate on its own.
What it needs
About 2k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
Monitoring & Analytics Skill Monitor and analyze your Proxmox infrastructure health and performance. What this skill does This skill enables you to: Get node statistics and performance metrics Monitor CPU, memory, and disk utilization Track network performance Analyze VM/container performance Monitor resource allocation efficiency Identify performance bottlenecks Generate performance reports Track usage trends over time Plan capacity based on metrics Establish baselines and thresholds When to use this skill Use this skill when you need to: Check cluster health and performance Monitor node resource usage Analyze VM/container performance Identify performance bottlenecks Troubleshoot performance issues Plan capacity expansion Generate performance reports Establish monitoring baselines Forecast resource needs Optimize resource allocation Available Tools getnodestatus - Get node statistics and performance getvmstatus - Get VM performance metrics getcontainerstatus - Get container performance metrics getclusterresources - Get overall cluster metrics Typical Workflows Infrastructure Health Check 1. Use getclusterresources for overall health 2. Use getnodestatus for each node 3. Use getvmstatus and getcontainerstatus for workload analysis 4. Generate comprehensive health report Performance Analysis 1. Use getnodestatus to analyze node performance 2. Use getvmstatus to check VM performance 3. Identify high-utilization resources 4. Analyze performance trends 5. Recommend optimizations Capacity Planning 1. Use getclusterresources for current utilization 2. Use getnodestatus for detailed metrics 3. Analyze growth trends 4. Project future capacity needs 5. Plan scaling or upgrades Bottleneck Identification 1. Use getnodestatus to find high CPU/memory nodes 2. Use getvmstatus for resource-hungry VMs 3. Use getstorage for disk bottlenecks 4. Analyze performance impact 5. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/monitoring-analytics