RViz Visualization Skill

RViz configuration and custom visualization for robot development and debugging

509 stars

Best use case

RViz Visualization Skill is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

RViz configuration and custom visualization for robot development and debugging

Teams using RViz Visualization Skill should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/rviz-visualization/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/robotics-simulation/skills/rviz-visualization/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/rviz-visualization/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How RViz Visualization Skill Compares

Feature / AgentRViz Visualization SkillStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

RViz configuration and custom visualization for robot development and debugging

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# RViz Visualization Skill

## Overview

Expert skill for configuring RViz visualizations, creating custom panels, and building debugging dashboards for robot development.

## Capabilities

- Create RViz configuration files for robot visualization
- Configure visualization plugins (robot model, TF, point cloud)
- Implement custom RViz panels and displays
- Set up marker publishers for debugging
- Configure interactive markers for teleoperation
- Create visualization dashboards
- Set up camera views and fixed frames
- Implement trajectory visualization
- Configure planning scene visualization
- Set up sensor data overlays

## Target Processes

- robot-urdf-sdf-model.js
- moveit-manipulation-planning.js
- visual-slam-implementation.js
- path-planning-algorithm.js

## Dependencies

- RViz2
- rviz_visual_tools
- interactive_markers

## Usage Context

This skill is invoked when processes require visualization setup, debugging displays, or interactive robot control interfaces.

## Output Artifacts

- RViz configuration files
- Custom panel implementations
- Marker publisher nodes
- Interactive marker servers
- Visualization dashboards
- Debug display configurations