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Found 2 Skills
Pose classification using ST-GCN (Spatial Temporal Graph Convolutional Network). Classifies skeleton sequences into action categories from pose-keypoint data. Use when training, evaluating, exporting, or running inference for a TAO pose-classification model. Trigger phrases include "train pose classification", "skeleton action recognition", "ST-GCN", "keypoint sequence classifier".
Creates a fitness-config.json for a project with review weights that fit what the project is for. Scans the folder (or runs a full review first, if asked), classifies its purpose, proposes weights starting from a matching purpose profile, explains every change, and saves only the proposal the user approved. Use when the user says /fitness-config-init, asks to "create a fitness config", "set up fitness-config.json", "initialize fitness config", "tune review weights for this project", "weight the review for this repo", or wants the fitness review to reflect a project's purpose instead of the defaults.