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Network Protocol Viz

Community
mingchen666
network-protocol-viz

Generate single-file HTML animations that teach network protocols and packet flow. Use this skill when the user asks about TCP/IP, IPv4 datagrams, Ethernet frames, routing, switching, DHCP, HTTPS/TLS, packet capture, firewall filtering, or wants a visual protocol explanation for learning,复习, or teaching.

Overview

Publishermingchen666
RepositoryReviva
Skill namenetwork-protocol-viz
Stars
293
Forks
31
Bundled files
10
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 10 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by mingchen666 on GitHub. Read the source before you install it.

Installation

Install the Network Protocol Viz AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/mingchen666/Reviva/tree/main/electron/builtin-assets/skills/network-protocol-viz
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/mingchen666/Reviva.git /tmp/Reviva
mkdir -p .claude/skills
cp -r /tmp/Reviva/electron/builtin-assets/skills/network-protocol-viz .claude/skills/network-protocol-viz
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Network Protocol Viz in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Network Protocol Viz on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Network Protocol Viz is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Network Protocol Visualization Skill

Create browser-openable HTML animations for computer networking concepts. This skill focuses on helping users understand protocols through packet structures, sequence flows, topology animation, tables, and step-by-step explanations.

When To Use

Use this skill for:

  • TCP three-way handshake, data transfer, and four-way close;
  • IPv4 datagram and header field explanations;
  • Ethernet frame structure and MAC addressing;
  • switch MAC table learning, flooding, and forwarding;
  • routing table lookup, longest-prefix matching, and packet forwarding;
  • DHCP Discover / Offer / Request / ACK;
  • HTTPS/TLS handshake and certificate verification;
  • PPP frame structure;
  • packet capture and protocol stack explanation;
  • firewall filtering by IP, port, protocol, or rule order.

For general concept maps or non-network diagrams, use learning-visualization-skill. For a full presentation deck, use html-ppt-skill or pptx-deck-skill.

Output

Default to a single .html file with inline CSS and JavaScript. The page should run in a modern browser without a build step.

Write generated files into the current agent output directory when available. If no output directory is provided, ask once or use a clear local output path under the current workspace.

Workflow

  1. Identify the protocol or networking concept.
  2. Decide whether the explanation is about structure, interaction, topology, or filtering.
  3. Select the closest bundled reference asset if useful.
  4. Generate an HTML animation with clear controls and step text.
  5. Verify that packet direction, protocol fields, table highlights, and labels are accurate.

Visualization Modes

Topic shapeRecommended layout
Packet/frame structureLayered colored fields with hover or step explanations
Client/server handshakeLeft-right sequence diagram with packets moving between endpoints
Routing/switchingNetwork topology with animated packet path and highlighted table rows
Protocol stackLayered OSI/TCP-IP stack with encapsulation/decapsulation
Firewall/filteringRule table plus animated packet accept/drop decisions

Required Interactions

Include these controls unless the output is intentionally static:

  • play/pause;
  • reset or replay;
  • current-step explanation.

Add step-next controls for dense teaching material. Add speed controls only when timing is important for the user's scenario.

Visual Standards

  • Use protocol-layer color coding consistently:
    • physical/link context: gray or blue;
    • network layer: green;
    • transport layer: orange;
    • application/security layer: purple;
    • warnings or drops: red.
  • Show packet direction unambiguously with arrows or moving packets.
  • Keep labels short and provide explanations in side panels or step text.
  • Avoid showing offensive or directly actionable attack instructions. Security examples should explain defensive understanding and include an education-only framing.

Reference Assets

Use these bundled examples as structure references:

  • assets/tcp-visualization.html - TCP handshake animation.
  • assets/ipv4_datagram.html and assets/ipv4_datagram-3d.html - IPv4 header visualization.
  • assets/ethernet-frame.html - Ethernet frame structure.
  • assets/router-routing-table.html - routing table lookup and forwarding.
  • assets/switch-mac-table.html - switch MAC learning.
  • assets/HTTPS.html - HTTPS/TLS flow.
  • assets/ppp_frame.html - PPP frame structure.

Prompt examples are in references/prompts.md. Read them when you need protocol-specific phrasing or a starting structure.

Quality Checklist

Before delivering:

  • The protocol steps are ordered correctly.
  • The packet fields and layer names are accurate.
  • Animation timing supports explanation rather than distraction.
  • Step text explains what changed at each stage.
  • Security-related content stays educational and does not include usable attack code.
  • The output file path is reported clearly.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Network Protocol Viz AI skill do?

Generate single-file HTML animations that teach network protocols and packet flow. Use this skill when the user asks about TCP/IP, IPv4 datagrams, Ethernet frames, routing, switching, DHCP, HTTPS/TLS, packet capture, firewall filtering, or wants a visual protocol explanation for learning,复习, or teaching.

Why use Network Protocol Viz on TypingMind?

Because you install it once and use it with any model. Network Protocol Viz is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Network Protocol Viz in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mingchen666/Reviva/tree/main/electron/builtin-assets/skills/network-protocol-viz. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Network Protocol Viz?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Network Protocol Viz?

As many as you like. As long as a model supports skills, you can use Network Protocol Viz with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Network Protocol Viz AI skill free?

It is published on GitHub by mingchen666. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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