Calibration Tools Skill
Sensor and robot calibration using specialized robotics calibration tools
npx skills add a5c-ai/babysitter --skill calibration-tools --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 report
- Overview
- Capabilities
- Target Processes
- Dependencies
- Usage Context
- Output Artifacts
What does the Calibration Tools Skill skill do?
Sensor and robot calibration using specialized robotics calibration tools
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill calibration-tools --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.