# neo-agent-traffic-analyzer

> Use this tool when you need to optimize communication between OpenClaw agents and identify performance bottlenecks. The neo-agent-traffic-analyzer takes in agent communication data as input and outputs visualized patterns and suggestions for improvement, helping to streamline interactions and enhance overall system efficiency. It is particularly useful in scenarios where agent communication is complex or high-volume, and bottlenecks are impacting system performance.

Canonical page: https://skillsregistry.net/skills/martinforsulu-neo-agent-traffic-analyzer  
JSON: https://api.skillsregistry.net/v1/skills/martinforsulu-neo-agent-traffic-analyzer

## Description

Analyzes and visualizes communication patterns between OpenClaw agents to identify bottlenecks and suggest.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-05-18

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/martinforsulu-neo-agent-traffic-analyzer)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "martinforsulu-neo-agent-traffic-analyzer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/martinforsulu-neo-agent-traffic-analyzer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/martinforsulu-neo-agent-traffic-analyzer/pull`

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