Visualization

Organization

robium-ai

visualization

Choose between RViz2, Foxglove, Lichtblick, and Rerun to inspect robot behavior.

Overview

Publisher	robium-ai
Repository	`robium`
Skill name	`visualization`
Stars	104
Forks	2
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by robium-ai on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/robium-ai/robium/tree/main/skills/visualization
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.

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/robium-ai/robium.git /tmp/robium
mkdir -p .claude/skills
cp -r /tmp/robium/skills/visualization .claude/skills/visualization

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Visualization 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 Visualization 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 Visualization 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.

Visualization

Choose the view from the evidence you need and where it must be viewed. The viewer is part of the debugging loop, not a decorative dashboard.

Choose the path

RViz2: local Linux desktop, live ROS 2 graph, and frame- or message-specific debugging.
Foxglove or Lichtblick: remote/headless ROS systems, browser access, shareable layouts, and MCAP playback.
Rerun: ML rollouts, perception, arbitrary tensors, and custom non-ROS pipelines.
Mixed systems may use two views: a ROS viewer for robot state and Rerun for policy inputs and outputs. Choose per evidence boundary, not per project.

Use the matching rviz2, foxglove, or rerun skill once the path is clear. Use environments only if the unresolved question is where the viewer or bridge can run.

Decide live versus recorded

Use live viewing to interact and form a hypothesis.
Record before a run when it must be replayed after a crash, compared across versions, or shared with someone who is not present.
Scope recordings to the evidence needed, but include enough context to explain timing and transforms.
Save the layout or blueprint that makes the recording intelligible.

Always expose useful evidence

Frames are connected and current.
Sensor values and rates are plausible, not merely nonzero.
Commands can be compared with robot response.
For navigation, show raw sensors alongside costmaps, plan, footprint, and pose.
For a learned policy, align observations, actions, and resulting trajectory on one timeline.

Done

The selected tool works in the actual local, remote, or headless context.
The view distinguishes inputs, decisions, and outcomes.
A recording exists when later comparison or handoff matters.
Tool-specific setup is delegated to current upstream documentation and the matching skill.

Frequently asked questions

What does the Visualization AI skill do?

Choose between RViz2, Foxglove, Lichtblick, and Rerun to inspect robot behavior.

Why use Visualization on TypingMind?

Because you install it once and use it with any model. Visualization 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 Visualization in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/robium-ai/robium/tree/main/skills/visualization. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Visualization?

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 Visualization?

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

Is the Visualization AI skill free?

Yes. It is published on GitHub by robium-ai under the MIT license. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Visualization

Choose the path

Decide live versus recorded

Always expose useful evidence

Done

Frequently asked questions

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