monitoring-analytics
Monitor Proxmox infrastructure health and performance. Track node statistics, analyze resource utilization, and identify optimization opportunities across your cluster.
Best use case
monitoring-analytics is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Monitor Proxmox infrastructure health and performance. Track node statistics, analyze resource utilization, and identify optimization opportunities across your cluster.
Teams using monitoring-analytics should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/monitoring-analytics/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How monitoring-analytics Compares
| Feature / Agent | monitoring-analytics | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Monitor Proxmox infrastructure health and performance. Track node statistics, analyze resource utilization, and identify optimization opportunities across your cluster.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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 - `get_node_status` - Get node statistics and performance - `get_vm_status` - Get VM performance metrics - `get_container_status` - Get container performance metrics - `get_cluster_resources` - Get overall cluster metrics ## Typical Workflows ### Infrastructure Health Check 1. Use `get_cluster_resources` for overall health 2. Use `get_node_status` for each node 3. Use `get_vm_status` and `get_container_status` for workload analysis 4. Generate comprehensive health report ### Performance Analysis 1. Use `get_node_status` to analyze node performance 2. Use `get_vm_status` to check VM performance 3. Identify high-utilization resources 4. Analyze performance trends 5. Recommend optimizations ### Capacity Planning 1. Use `get_cluster_resources` for current utilization 2. Use `get_node_status` for detailed metrics 3. Analyze growth trends 4. Project future capacity needs 5. Plan scaling or upgrades ### Bottleneck Identification 1. Use `get_node_status` to find high CPU/memory nodes 2. Use `get_vm_status` for resource-hungry VMs 3. Use `get_storage` for disk bottlenecks 4. Analyze performance impact 5. Recommend solutions ## Example Questions - "What's the current cluster health and performance?" - "Which nodes are running at high utilization?" - "Show me the performance metrics for all VMs" - "Are there any performance bottlenecks?" - "Get a complete performance analysis report" - "Which containers are consuming the most resources?" - "What are the resource trends over time?" ## Response Format When using this skill, I provide: - Node statistics with CPU, memory, disk metrics - VM/container performance data - Utilization trends and analysis - Bottleneck identification - Capacity planning recommendations - Optimization suggestions ## Best Practices - Monitor metrics continuously - Establish performance baselines - Set appropriate alert thresholds - Track metrics over time for trends - Identify and optimize peak usage periods - Balance load across nodes - Monitor both physical and virtual resources - Analyze before and after optimization - Keep historical data for trend analysis - Use metrics to justify capacity investments - Monitor network performance - Consider both current and future growth
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