canvas-network-viz

Render inline network topology and health visualizations in OpenClaw chat via Canvas/A2UI.

Updated Feb 28, 2026
One-click install
npx skills add https://github.com/dgethings/netclaw --skill canvas-network-viz
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: canvas-network-viz
Source: https://github.com/dgethings/netclaw/tree/main/workspace/skills/canvas-network-viz
Command: npx skills add https://github.com/dgethings/netclaw --skill canvas-network-viz

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Canvas-based in-chat network visualizations reduce the need to context-switch between dashboards by rendering topology, health, and change information directly in the OpenClaw interface.

Core Features & Use Cases

  • Renders inline topology maps, health dashboards, alert cards, change timelines, diffs, and path traces via Canvas/A2UI.
  • Consumes data from existing MCP tools (pyATS, Grafana, Prometheus, ServiceNow, SuzieQ, Batfish) to generate visuals without altering devices or MCP state.
  • Use Case: an operator asks to see the network health of Site-A and a path trace to a particular device, receiving an accessible, audited visualization in chat.

Quick Start

Render a topology map for Site-A in the chat to visualize the network layout.

Frequently Asked Questions about canvas-network-viz

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I visualize network topology directly in chat?

Network topology visualization is rendered inline as Canvas visuals within the OpenClaw chat interface by consuming data from existing MCP tools like pyATS, Grafana, and SuzieQ, reducing the need to context-switch between dashboards.

Can I generate network health dashboards and alert cards using Prometheus data?

Yes, you can generate network health dashboards and alert cards using Prometheus data. The Skill renders these visuals inline using Canvas/A2UI by consuming existing MCP connections without altering devices or MCP state.

Does the network visualization work with ServiceNow and Batfish MCP tools?

Yes, the network visualization works with ServiceNow and Batfish. It consumes data from these existing MCP connections to generate read-only topology maps, change timelines, diffs, and path traces directly in chat.

What is the best way to trace a network path to a specific device without switching dashboards?

The best way to trace a network path without switching dashboards is to request an inline path trace visualization in OpenClaw, which renders the output directly in chat using your existing MCP data from tools like pyATS or Batfish.

Are the inline network visualizations read-only and do they emit audit events?

Yes, the inline network visualizations are strictly read-only and do not alter devices or MCP state. They emit GAIT audit events for each visualization render to ensure operational compliance.