TF2 Transforms Skill
SkillDev toolsExpert skill for ROS tf2 coordinate frame management and transforms
Use TF2 Transforms Skill in Claude, ChatGPT or Ahel Desktop
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Then ask your AI: use the TF2 Transforms Skill
Details
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.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
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
- 113
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
tf2-transforms-skill- Source
- github.com/a5c-ai/babysitter