Use when you need a repository-specific analysis of faultSeg (FaultSeg3D): summarize its purpose, explain each important script/module/function, describe execution flow, and show how to run it. faultSeg trains and predicts 3D seismic fault segmentation using a simplified 3D U-Net CNN trained entirely on synthetic seismic/fault volume pairs in raw binary (.dat) format.
Use when you need a repository-specific analysis of MalenoV (MAchine LEarNing Of Voxels): summarize its purpose, explain each important function, describe execution flow, and show how to run it. MalenoV trains and classifies 3D/nD seismic facies using 3D convolutional neural networks on SEGY input data.
Use when you need to analyze a GitHub repository from its GitHub URL, clone it into tools/, summarize its purpose, inspect it meticulously script by script and function by function, explain how it works and how to run it, then create a new skills/<repo>/SKILL.md containing that repository-specific analysis. Typical use: /create-doc {github-url}.
Use when initializing the boglodite repository structure and cloning required tool repositories.
Use when you need a repository-specific analysis of facies_net: summarize its purpose, explain each important script/module/function, describe execution flow, and show how to run it. facies_net trains and classifies 3D seismic facies using 3D convolutional neural networks on SEGY input data, with full support for data augmentation, TensorBoard logging, and pre-trained models.