TF2 Transforms Skill

Expert skill for ROS tf2 coordinate frame management and transforms

509 stars

Best use case

TF2 Transforms Skill is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Expert skill for ROS tf2 coordinate frame management and transforms

Teams using TF2 Transforms 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/tf2-transforms/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/robotics-simulation/skills/tf2-transforms/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/tf2-transforms/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How TF2 Transforms Skill Compares

Feature / Agent	TF2 Transforms Skill	Standard Approach
Platform Support	Not specified	Limited / Varies
Context Awareness	High	Baseline
Installation Complexity	Unknown	N/A

Frequently Asked Questions

What does this skill do?

Expert skill for ROS tf2 coordinate frame management and transforms

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

# TF2 Transforms Skill

## 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

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