initiate-boglodite
Use when initializing the boglodite repository structure and cloning required tool repositories.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Use when initializing the boglodite repository structure and cloning required tool repositories.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
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 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.
| name | initiate-boglodite |
| description | Use when initializing the boglodite repository structure and cloning required tool repositories. |
In the repository root, create the required directories:
mkdir data
mkdir sandbox
mkdir tools
Inside the data directory, download the preloaded F3 seismic dataset (1.2 GB):
gdown --folder "https://drive.google.com/drive/folders/0B7brcf-eGK8CbGhBdmZoUnhiTWs?resourcekey=0-0ZhV_OJ3TKN1ShFAGcrOzQ" -O ./data/
Inside the tools directory, clone the required repositories:
git clone https://github.com/bolgebrygg/MalenoV
git clone https://github.com/crild/facies_net