RViz Visualization Skill

SkillDev tools

RViz configuration and custom visualization for robot development and debugging

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the RViz Visualization Skill skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/robotics-simulation/skills/rviz-visualization/SKILL.md and read by ahel’s review.

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

Signals

GitHub stars
2k
Forks
112
Last commit
Sep 2026
Advanced
Item type
skill
Key
rviz-visualization-skill
Source
github.com/a5c-ai/babysitter