geophysical-inversion
Geophysical data inversion workflow from data loading through mesh creation, forward modelling, inversion, and result visualization. Use when inverting ERT, magnetics, gravity, or EM survey data.
npx skills add majiayu000/claude-skill-registry --skill geophysical-inversion --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Geophysical Inversion Workflow End-to-end pipeline for inverting geophysical data, from survey data loading through mesh creation, forward modelling, inversion, gridding, and 3D visualization of recovered physical property models. ## Skill Chain ```text simpeg / pygimli verde pyvista [Mesh + Inversion] --> [Gridding] --> [3D Visualization] | | | Survey geometry Interpolate Volume render Forward model Grid to raster Slice views Misfit + reg Trend removal Overlay data Recover model Cross-validate Export mesh ``` ## Decision Points: SimPEG vs pyGIMLi | Criterion | SimPEG | pyGIMLi | |-----------|--------|---------| | DC resistivity / ERT | Yes | Yes (simpler API) | | Magnetics | Yes | Limited | | Gravity | Yes | Limited | | Electromagnetics (TDEM, FDEM) | Yes | No | | Seismic refraction (SRT) | No | Yes | | Induced polarization | Yes | Yes | | Built-in electrode arrays | Manual setup | Built-in (Wenner, Schlumberger, etc.) | | Mesh types | TensorMesh, TreeMesh, CurvilinearMesh | Triangular, tetrahedral, structured | | Joint inversion | Yes (Wires maps) | Limited | | API complexity | More boilerplate, more flexible | Less boilerplate, opinionated | **Rule of thumb**: Use pyGIMLi for
- Skill Chain
- Decision Points: SimPEG vs pyGIMLi
- Step-by-Step Orchestration
- Stage 1a: Inversion with SimPEG (DC Resistivity Example)
- Stage 1b: Inversion with pyGIMLi (ERT Example)
- Stage 2: Gridding and Interpolation (verde)
- Stage 3: Visualization (pyvista)
- Common Pipelines
- Standard ERT Inversion
- Gravity or Magnetics Inversion (SimPEG)
- Synthetic Study (Forward + Inversion)
- When to Use
- Common Issues
What does the geophysical-inversion skill do?
Geophysical data inversion workflow from data loading through mesh creation, forward modelling, inversion, and result visualization. Use when inverting ERT, magnetics, gravity, or EM survey data.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill geophysical-inversion --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.