Rviz2

Organization

robium-ai

rviz2

Inspect and debug live ROS 2 robot state with RViz2.

Overview

Publisher	robium-ai
Repository	`robium`
Skill name	`rviz2`
Stars	104
Forks	2
Bundled files	1
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.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by robium-ai on GitHub. Read the source before you install it.

Installation

Install the Rviz2 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/rviz2
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/rviz2 .claude/skills/rviz2

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

Use it in TypingMind

Enable Rviz2 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 Rviz2 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 Rviz2 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.

RViz2

Treat RViz2 as a consumer of ROS evidence. A blank display usually means its frame, message, QoS, or time contract is wrong.

Build a focused view

Start with a fixed frame that exists now, then add only the displays needed for the question being asked.
Prefer adding by topic when discovering a graph; it helps match message type to display type.
Keep a saved .rviz configuration per robot and task. Do not rebuild the display list on every run or make one unreadable everything-dashboard.
For navigation, view raw sensors and TF alongside map, costmaps, footprint, plan, and robot model so upstream data can be distinguished from Nav2 output.

Read what the display is telling you

A red or empty display is evidence about the input boundary, not proof that RViz itself is broken.
Check fixed frame and TF first, then publisher/display QoS, then simulation time and /clock.
Compare the configured topic and namespace with the live graph; stale configs often point at an old robot name.
A missing display plugin can fail one saved display while the rest of the config continues to load.

Read failures when something does not render. Cross into ros2 only when the evidence points to TF, QoS, graph, or time at the publisher. Cross into navigation when those inputs are healthy but a costmap, plan, or controller result is wrong.

Use foxglove instead for a headless, remote, browser, or shareable workflow; use rerun for data-centric ML and non-ROS logging. If the viewer has not been chosen, use visualization first.

Done

The fixed frame is present and every displayed message transforms into it.
Display QoS and topic namespaces match their publishers.
Simulation time is consistent when applicable.
The saved config opens into a focused, useful debugging view.
Any CLI or UI details were checked against the installed RViz2 build and current RViz documentation.

Bundled files

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

FAILURES.md2 KB

Frequently asked questions

What does the Rviz2 AI skill do?

Inspect and debug live ROS 2 robot state with RViz2.

Why use Rviz2 on TypingMind?

Because you install it once and use it with any model. Rviz2 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 Rviz2 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/robium-ai/robium/tree/main/skills/rviz2. 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 Rviz2?

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 Rviz2?

As many as you like. As long as a model supports skills, you can use Rviz2 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Rviz2 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

RViz2

Build a focused view

Read what the display is telling you

Done

Bundled files

Frequently asked questions

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