# Analyze Network Traffic and Bandwidth Use

Network teams need a fast way to understand bandwidth use and application mix. This skill guides Claude, Codex, and Claude Code through DPI, client, and device traffic analysis workflows.

## Install

```bash
npx skillstore add dataknifeai/traffic-analysis
```

## Metadata

- Status: approved
- Slug: dataknifeai-traffic-analysis
- Skillstore revision: r1
- Version status: missing
- Tree hash: d80bf1e9e9f503de42c36a36af7e85942cda3b7f656bad305b2cf06b1b7440f4
- Author: DataKnifeAI
- GitHub username: DataKnifeAI
- License: MIT
- Repository: https://github.com/DataKnifeAI/unifi-network-mcp/tree/main/.github/skills/traffic-analysis
- 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: 77
- Quality tier: bronze
- Public page: https://skillstore.pages.dev/skills/dataknifeai-traffic-analysis
- Manifest: https://skillstore.pages.dev/api/skills/dataknifeai-traffic-analysis/manifest

## Capabilities

- List DPI application categories and explain their traffic role.
- Identify top clients by bandwidth use when client stats are available.
- Correlate device throughput with client demand and application categories.
- Produce traffic reports with utilization patterns and optimization suggestions.
- Recommend QoS and bandwidth allocation changes from observed traffic data.

## Use Cases

- Find Bandwidth Hotspots: Identify top clients and application categories before changing traffic policies.
- Plan Capacity Upgrades: Create concise traffic reports for bandwidth planning and upgrade decisions.
- Troubleshoot Slow Networks: Compare device throughput, client demand, and application categories to isolate congestion causes.

## Prompt Templates

### Show Current Traffic Mix

```
Analyze current DPI categories and summarize which application types use the most bandwidth.
```

### Find Heavy Bandwidth Users

```
Use client statistics to identify the top bandwidth consumers and explain likely causes.
```

### Troubleshoot Congestion

```
Compare device throughput, client bandwidth, and DPI categories to identify likely congestion sources.
```

### Design QoS Recommendations

```
Build a traffic management plan using DPI categories, top clients, and observed throughput trends.
```

## Limitations

- Requires compatible network telemetry tools and current controller data.
- Does not capture packets or inspect payload content directly.
- Cannot enforce QoS policies without separate network administration tools.
- Recommendations depend on the accuracy of DPI classification.

## Best Practices

- Review traffic at consistent times before comparing trends.
- Correlate DPI categories with client and device statistics.
- Document each QoS recommendation with the traffic evidence used.

## Anti Patterns

- Do not make policy changes from a single short traffic sample.
- Do not treat DPI labels as proof of user intent.
- Do not ignore device throughput when diagnosing client complaints.

## Security Audit

- Audited at: 2026-07-06T09:17:47.962\+00:00
- Summary: The static findings are false positives caused by Markdown backticks around documented tool names in SKILL.md. I found no evidence of shell execution, prompt injection, data exfiltration, or unsafe instructions in the reviewed file.

## Stats

- Views: 185
- Downloads: 6
- Favorites: 0
- Popularity score: 0