# Monitor Proxmox Performance and Capacity

Proxmox teams need a clear view of node and workload health. This skill guides Claude, Codex, and Claude Code through monitoring, bottleneck analysis, and capacity planning.

## Install

```bash
npx skillstore add dataknifeai/monitoring-analytics
```

## Metadata

- Status: approved
- Slug: dataknifeai-monitoring-analytics
- Skillstore revision: r1
- Version status: missing
- Tree hash: 932b8561da00032d54b85937e0023da7066daa7458775102452a26ae1c2f5952
- Author: DataKnifeAI
- GitHub username: DataKnifeAI
- License: MIT
- Repository: https://github.com/DataKnifeAI/proxmox-ve-mcp/tree/main/.github/skills/monitoring-analytics
- Ref: 34f316ba14ef36c7a620fc09f2676d2429997a77
- Supported tools: Claude, Codex, Claude Code
- Audit status: complete
- Agent install advisory: allowed
- Manual install advisory: allowed
- Artifact signature: available
- Audit attestation: unavailable
- Human verification: not\_verified
- Risk factors: external\_commands
- Quality score: 78
- Quality tier: bronze
- Public page: https://skillstore.pages.dev/skills/dataknifeai-monitoring-analytics
- Manifest: https://skillstore.pages.dev/api/skills/dataknifeai-monitoring-analytics/manifest

## Capabilities

- Guides cluster health checks using available Proxmox resource metrics.
- Reviews node CPU, memory, disk, and network utilization.
- Analyzes VM and container performance for high resource usage.
- Identifies likely bottlenecks across nodes, workloads, and storage.
- Builds performance summaries for operations reviews and reports.
- Supports capacity planning with utilization trends and growth projections.

## Use Cases

- Daily Cluster Health Review: Check node and workload metrics before users report performance issues.
- Capacity Budget Planning: Summarize utilization trends to justify hardware expansion or workload moves.
- Incident Performance Triage: Find overloaded nodes, noisy VMs, and resource pressure during an incident.

## Prompt Templates

### Check Cluster Health

```
Check current Proxmox cluster health. Summarize node status, workload pressure, and any urgent risks.
```

### Review Workload Performance

```
Analyze VM and container performance across the cluster. Highlight high CPU, memory, disk, and network usage.
```

### Find Performance Bottlenecks

```
Identify likely Proxmox performance bottlenecks. Compare node, VM, container, storage, and network indicators before recommending actions.
```

### Create Capacity Plan

```
Create a capacity planning brief from current and historical Proxmox metrics. Include growth risks, upgrade priorities, and migration options.
```

## Limitations

- Requires connected Proxmox monitoring tools and permission to read metrics.
- Trend analysis depends on available historical performance data.
- Does not configure alerts, dashboards, or automated remediation by itself.
- The documented storage check references a tool not listed in available tools.

## Best Practices

- Review cluster, node, VM, and container metrics together before making changes.
- Compare current utilization with baselines and known peak periods.
- Document recommendations with metric evidence and expected operational impact.

## Anti Patterns

- Do not assume one high metric proves the root cause.
- Do not plan capacity from a single short observation window.
- Do not move workloads without checking storage and network constraints.

## Security Audit

- Audited at: 2026-07-06T10:26:42.372\+00:00
- Summary: All static findings are false positives caused by Markdown inline code formatting for tool names in SKILL.md. No evidence found of command execution, data exfiltration, prompt injection, or malicious intent in the reviewed file.

## Stats

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- Downloads: 9
- Favorites: 0
- Popularity score: 0