SteadfastAsArt/geoscience-skills
🏪MarketplaceSteadfastAsArt/geoscience-skills
🌍 29 AI-powered geoscience skills for Claude Code, Cursor & GitHub Copilot. Seismic, well logs, 3D modelling, inversion, geostatistics, NetCDF, and more.
Overview
Geoscience Skills is a marketplace offering 29 AI-powered geoscience capabilities for Claude Code, Cursor, and GitHub Copilot. It covers a comprehensive range of earth science domains including seismic processing, well log analysis, 3D geological modelling, geophysical inversion, geostatistics, and climate data analysis.
Key Features
- Seismic data processing with SEG-Y file reading, waveform analysis, and dispersion curves
- Well log analysis including LAS/DLIS parsing, porosity calculation, and striplog creation
- 3D geological modelling with fault and fold structures using implicit methods
- Geophysical inversion for ERT, seismic, gravity, and magnetic survey data
- Geostatistical analysis with variograms, kriging, and spatial interpolation
Who is this for?
This marketplace is designed for geoscientists, geophysicists, and earth science researchers who want AI assistance with technical geoscience workflows. It is ideal for professionals working with seismic data, well logs, geological models, or environmental datasets who need specialized computational support integrated into their coding environment.
Add this Marketplace
/plugin marketplace add SteadfastAsArt/geoscience-skillsMore from this repository10
A geoscience skill for working with N-dimensional labeled arrays using xarray, supporting NetCDF and Zarr file I/O, climate and oceanographic data analysis, temporal aggregations, area-weighted statistics, and large-scale processing with Dask.
A geoscience skill for 3D visualization and mesh analysis using PyVista/VTK, supporting geological model rendering, seismic volume display, point cloud visualization, cross-sections through 3D models, and export of publication-quality figures.
A geoscience skill that teaches Claude to use the GeostatsPy library for GSLIB-style geostatistics, including variogram analysis, kriging (simple and ordinary), sequential Gaussian simulation (SGSIM), normal score transforms, and spatial data declustering.
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