network-diagram-generator_skill

This skill guides you through network diagram generator tasks, produces production-ready configurations, and validates outputs against industry standards.
  • Python

1.4k

GitHub Stars

1

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill jeremylongshore/claude-code-plugins-plus-skills --skill network-diagram-generator

  • SKILL.md2.2 KB

Overview

This skill automates network diagram generator tasks within the Visual Content domain. It helps produce diagram definitions, configuration snippets, and validated outputs suitable for documentation and operational use. The skill focuses on practical, production-ready guidance and visual artifact generation.

How this skill works

When triggered, the skill analyzes the requested network topology and desired output format, then generates diagram code, configuration examples, and validation checks. It follows industry patterns for layout, labeling, and connectivity, and can produce formats such as Mermaid, Graphviz, or JSON representations for diagram tools. The skill also provides step-by-step instructions and suggestions to integrate diagrams into documentation or automation pipelines.

When to use it

  • You need a clear, reproducible network diagram from a textual description or configuration.
  • You want diagram code in Mermaid, Graphviz, or JSON for embedding in docs or tools.
  • You are preparing architecture documentation, runbooks, or presentations that require visuals.
  • You need validation checks or configuration snippets alongside diagram outputs.
  • You want guidance on diagram best practices, layout, and labeling for operational clarity.

Best practices

  • Start with a concise textual topology: list devices, roles, and connections before generating the diagram.
  • Use consistent naming and labeling for devices, interfaces, and subnets to improve readability.
  • Prefer hierarchical layouts for large networks and group related components into labeled clusters.
  • Generate both visual code (Mermaid/Graphviz) and a machine-readable JSON model for automation.
  • Validate diagrams against configuration data and include legend/annotations for non-obvious elements.

Example use cases

  • Convert a topology description into a Mermaid diagram for documentation pages.
  • Produce Graphviz output for a high-fidelity network architecture slide.
  • Generate JSON network models to feed into automated deployment or monitoring tools.
  • Create annotated diagrams and runbooks showing failover paths and critical links.
  • Validate that diagramed connections match firewall rules or routing configurations.

FAQ

Common formats include Mermaid, Graphviz (DOT), and JSON representations designed for diagram tools; guidance is provided to adapt to other formats.

How do I ensure diagrams match my live configuration?

Provide device lists or config snippets; the skill can validate connectivity and flag mismatches between diagram and provided configuration data.

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network-diagram-generator skill by jeremylongshore/claude-code-plugins-plus-skills | VeilStrat