Does this skill help with data quality control?

Absolutely. The workflows include steps for inspecting pseudosections and removing outliers or bad data points before running the inversion process.

What geophysical methods does this skill support?

It primarily supports Electrical Resistivity Tomography (ERT), Seismic Refraction Tomography (SRT), and Induced Polarization (IP), along with general FEM modelling and GPR simulation.

Can I export inversion results for 3D visualization?

Yes, the skill includes specific commands for exporting both meshes and inversion models to VTK format, which is compatible with ParaView.

Can I use this for monitoring projects?

Yes, it supports time-lapse monitoring data analysis, allowing you to model changes in subsurface properties over time.

How does pyGIMLi compare to SimPEG in this skill?

This skill recommends pyGIMLi for near-surface methods (ERT/SRT) due to its simple Manager API, whereas SimPEG is suggested for broader methods like magnetics or gravity.

pyGIMLi Geophysical Inversion

Name: pyGIMLi Geophysical Inversion
Author: SteadfastAsArt

bySteadfastAsArt

•

Ciencia de Datos y ML

Performs multi-method geophysical modelling and inversion for ERT, seismic refraction, and induced polarization data.

This skill integrates the pyGIMLi framework into Claude Code, enabling advanced geophysical data processing and subsurface imaging. It provides structured guidance for electrical resistivity tomography (ERT), seismic refraction tomography (SRT), and finite element mesh (FEM) generation. Whether performing joint inversions or forward modelling geophysical responses, this skill automates complex workflows—from data loading and outlier removal to VTK export for high-quality 3D visualization in ParaView.

Características Principales

0112 GitHub stars

02Finite element mesh (FEM) generation for complex geophysical geometries

03Time-lapse monitoring and induced polarization (IP) data modelling

04Support for common electrode arrays including Wenner, Dipole-dipole, and Schlumberger

05Automated ERT and SRT inversion workflows using Manager classes

06Seamless data export to VTK for professional 3D subsurface visualization

Casos de Uso

01Generating custom FEM meshes for research-grade geophysical forward modelling

02Subsurface imaging for environmental and engineering site investigations

03Processing time-lapse monitoring data for groundwater or contaminant transport studies

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add steadfastasart/geoscience-skills pygimli

For use in Claude.ai and ChatGPT

Download Skill