---
name: tf2-transforms-skill-5652f2ef94d8
description: Expert skill for ROS tf2 coordinate frame management and transforms
slug: tf2-transforms
category: Middleware
allowed-tools:
  - Bash
  - Read
  - Write
  - Edit
  - Glob
  - Grep
graph:
  domains: [domain:robotics]
  specializations: [specialization:robotics-simulation]
  skillAreas: [skill-area:motion-planning, skill-area:sensor-fusion]
  roles: [role:research-engineer]
---

# 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


---
Source attribution: a5c-ai
Original project: https://github.com/a5c-ai/babysitter
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2026 Gabriel Moreira

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: a5c-ai
Original project: https://github.com/a5c-ai/babysitter
Attribution basis: Upstream repository explicitly recorded in package mirror path

Fields of work: Development & Engineering
Roles: Backend Developer, ML / AI Engineer
Specialties: Backend
Tools: Ros
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: bfafbba2b1cb540c07def23ba87d39812de4662a5a23c8532bc6c3380df9e238