TF2 Transforms Skill

SkillDev tools

Expert skill for ROS tf2 coordinate frame management and transforms

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

Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.

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 TF2 Transforms 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/tf2-transforms/SKILL.md and read by ahel’s review.

Overview

Expert skill for managing ROS tf2 coordinate frames, transform broadcasting, and debugging transform connectivity issues.

Capabilities

Configure static transforms for robot links
Implement dynamic transform broadcasters
Set up tf2 listeners with time synchronization
Debug transform chains and connectivity
Configure transform lookup caching
Implement transform extrapolation
Set up multi-robot namespaced transforms
Configure map-odom-base_link chain
Implement sensor frame transforms
Debug TF_REPEATED_DATA and other issues

Target Processes

robot-system-design.js
robot-calibration.js
sensor-fusion-framework.js
visual-slam-implementation.js

Dependencies

tf2_ros
tf2_geometry_msgs
tf_transformations

Usage Context

This skill is invoked when processes require coordinate frame setup, transform debugging, or multi-robot TF configuration.

Output Artifacts

Static transform launch files
Transform broadcaster nodes
TF tree configurations
Debug analysis reports
Namespaced TF setups
Time synchronization configs

Signals

GitHub stars: 2k
Forks: 112
Last commit: Sep 2026

Advanced

Item type: skill
Key: tf2-transforms-skill
Source: github.com/a5c-ai/babysitter

github.com/a5c-ai/babysitter