Computer Vision Skill
Specialized skill for robot vision including feature detection, tracking, and camera calibration
npx skills add a5c-ai/babysitter --skill computer-vision --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.
# Computer Vision Skill ## Overview Expert skill for robot vision applications including camera calibration, feature detection and tracking, stereo vision, and visual servoing. ## Capabilities - Implement camera intrinsic calibration (pinhole, fisheye) - Configure stereo camera calibration and rectification - Set up camera-LiDAR extrinsic calibration - Implement feature detection (ORB, SIFT, SURF, SuperPoint) - Configure optical flow tracking (Lucas-Kanade, Farneback) - Implement depth estimation from stereo - Set up visual servoing pipelines - Configure image undistortion and rectification - Implement ArUco/AprilTag marker detection - Set up hand-eye calibration ## Target Processes - robot-calibration.js - visual-slam-implementation.js - object-detection-pipeline.js - digital-twin-development.js ## Dependencies - OpenCV - cv_bridge - image_geometry - camera_calibration ## Usage Context This skill is invoked when processes require camera calibration, feature detection, visual tracking, or image processing for robot vision applications. ## Output Artifacts - Camera calibration files (YAML) - Stereo calibration parameters - Feature detection configurations - Visual servoing controlle
- Overview
- Capabilities
- Target Processes
- Dependencies
- Usage Context
- Output Artifacts
What does the Computer Vision Skill skill do?
Specialized skill for robot vision including feature detection, tracking, and camera calibration
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill computer-vision --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.