Calibration Tools Skill

Sensor and robot calibration using specialized robotics calibration tools

509 stars

Best use case

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

Sensor and robot calibration using specialized robotics calibration tools

Teams using Calibration Tools 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/calibration-tools/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/robotics-simulation/skills/calibration-tools/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/calibration-tools/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How Calibration Tools Skill Compares

Feature / AgentCalibration Tools SkillStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Sensor and robot calibration using specialized robotics calibration tools

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

# Calibration Tools Skill

## Overview

Expert skill for sensor and robot calibration using specialized tools including Kalibr, camera_calibration, and hand-eye calibration packages.

## Capabilities

- Configure Kalibr for camera-IMU calibration
- Set up camera_calibration for intrinsic calibration
- Implement robot_calibration for kinematic calibration
- Configure hand-eye calibration (eye-in-hand, eye-to-hand)
- Set up LiDAR-camera extrinsic calibration
- Implement IMU bias estimation
- Configure wheel odometry calibration
- Set up multi-camera calibration
- Implement joint encoder calibration
- Generate calibration reports and validation

## Target Processes

- robot-calibration.js
- sensor-fusion-framework.js
- visual-slam-implementation.js
- lidar-mapping-localization.js

## Dependencies

- Kalibr
- camera_calibration
- robot_calibration
- easy_handeye

## Usage Context

This skill is invoked when processes require precise sensor calibration, robot kinematic calibration, or multi-sensor extrinsic calibration.

## Output Artifacts

- Camera calibration YAML files
- IMU calibration parameters
- Hand-eye transformation matrices
- Kinematic calibration results
- Calibration validation reports
- Multi-sensor extrinsic configurations

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