This week's FiftyOne tips and tricks blog focuses on creating a skeleton dataset using keypoints. The blog introduces FiftyOne, an open source machine learning toolset that helps data science teams improve computer vision models by curating high-quality datasets, evaluating models, finding mistakes, visualizing embeddings, and getting to production faster. Pose skeletons are vital for understanding human or animal motion in images or videos, facilitating identification of precise body position and movement annotation. In FiftyOne, pose skeletons are stored with the Keypoints class. The blog demonstrates how to create a view or dataset of images, tag them, prepare the dataset to expect keypoint skeletons, and annotate the skeleton using FiftyOne's CVAT integration. Finally, it explains how to load the annotations back into the dataset for further analysis.