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48 geoscience skills for AI coding assistants covering seismic, well logs, geological modelling, geophysical inversion, geostatistics, spatial regression, and related workflows.
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Calculate reference-ellipsoid geometry, normal gravity and geodetic/geocentric coordinate conversions with Boule. Use for gravity reference corrections and planetary ellipsoids; this does not transform between geodetic datums or compute terrain corrections.
48 skills · 3 agents
Geophysical equations and rock physics calculations for seismic analysis. Use when the agent needs to: (1) Calculate AVO responses (Zoeppritz, Shuey, Aki-Richards), (2) Perform Gassmann fluid substitution, (3) Generate seismic wavelets (Ricker, Ormsby), (4) Compute reflectivity and synthetic seismograms, (5) Calculate elastic moduli from velocities, (6) Apply Gardner/Castagna empirical relations, (7) Model rock physics effects.
48 skills · 3 agents
Analyse labelled climate time series and gridded or station observations with checked calendars, aggregation, climatological baselines and spatial validation. Use for climate anomalies, regional summaries or station-to-grid analysis; distinguish descriptive analysis from future-time prediction.
48 skills · 3 agents
Symbolic PDE solver with automatic code generation for finite-difference computations. Use when the agent needs to: (1) Perform seismic wave propagation modeling, (2) Implement acoustic or elastic wave equations, (3) Run forward modeling for shot gathers, (4) Set up Full Waveform Inversion (FWI) workflows, (5) Implement Reverse Time Migration (RTM), (6) Create absorbing boundary conditions, (7) Generate optimized stencil code for CPUs/GPUs, (8) Solve custom PDEs with finite differences.
48 skills · 3 agents
Compute Rayleigh and Love wave phase/group dispersion and sensitivity kernels for one-dimensional isotropic layered Earth models. Use when forward modelling velocity profiles, comparing layered models, or preparing numerical derivatives for a separately defined inversion. Does not extract observed dispersion from waveforms or perform tomography.
48 skills · 3 agents
Create finite-volume meshes and discrete differential operators with discretize. Use for TensorMesh or TreeMesh geometry, cell/face/edge ordering, divergence, interpolation and meshes supporting SimPEG; use a physics solver for inversion itself.
48 skills · 3 agents
Read and parse DLIS (Digital Log Interchange Standard) and LIS (Log Information Standard) well log files. Use when the agent needs to: (1) Read/parse DLIS or LIS files, (2) Extract well log curves as numpy arrays, (3) Access file metadata and origin information, (4) Handle multi-frame or multi-file DLIS, (5) Convert DLIS to LAS or DataFrame, (6) Work with RP66 format well logs, (7) Process array or image log data.
48 skills · 3 agents
Fetch versioned Fatiando geoscience datasets with Ensaio and preserve their hashes, citations and data conventions. Use for reproducible sample-data acquisition and replacing supported RockHound datasets; the fetchers return paths for format-specific readers.
48 skills · 3 agents
Build, run, inspect and diagnose MODFLOW groundwater flow models with FloPy. Use for aquifer discretization, recharge and boundary conditions, hydraulic heads, groundwater budgets and MODFLOW 6 output; use Pastas for statistical head time series.
48 skills · 3 agents
Spatial data processing for geological modelling with GemPy. Use when the agent needs to: (1) Prepare spatial data for GemPy models, (2) Extract interface points from geological maps, (3) Process orientations/dip measurements, (4) Sample DEMs along profiles or cross-sections, (5) Convert between GIS formats and GemPy inputs, (6) Clip/transform vector/raster data for modeling, (7) Create model extents from geospatial bounds.
48 skills · 3 agents
3D structural geological modeling using implicit methods. Create geological models with faults, folds, and unconformities from surface points and orientations. Use when the agent needs to: (1) Build 3D geological models from surface contacts and orientations, (2) Model faults, unconformities, or intrusions, (3) Compute and visualize subsurface geology, (4) Export models to VTK or numpy arrays, (5) Generate gravity forward models, (6) Create cross-sections or 3D visualizations.
48 skills · 3 agents
Assess and maintain licensed GeoLime geological or mining-model workflows, checking the installed vendor API, drillhole conventions and model validation. Use when a project explicitly uses GeoLime; the public PyPI placeholder does not provide a working modelling API.
48 skills · 3 agents
3D geological modelling workflow from spatial data preparation through implicit surface modelling and 3D visualization. Use when building geological models from surface data, boreholes, or GIS inputs.
48 skills · 3 agents
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.
48 skills · 3 agents
GSLIB-inspired geostatistics library for variogram analysis, kriging, and simulation. Use when the agent needs to: (1) Calculate experimental variograms, (2) Fit variogram models, (3) Perform simple/ordinary kriging, (4) Run sequential Gaussian simulation (SGSIM), (5) Apply normal score transforms, (6) Decluster spatial data, (7) Generate multiple realizations for uncertainty.
48 skills · 3 agents
Spatial and spatiotemporal regression with GNNWR (Geographically Neural Network Weighted Regression). Use when the agent needs to: (1) Build spatially varying coefficient regression models, (2) Analyze geographic non-stationarity in spatial data, (3) Generate spatial coefficient maps for publication, (4) Run spatiotemporal regression with GTNNWR, (5) Scale geographically weighted regression to large datasets (N > 10k) with KNN mode, (6) Diagnose spatial model performance with F-tests, AIC, and residual maps.
48 skills · 3 agents
Read and process ground-penetrating radar profiles using GPRPy. Use for sample-based dewow/background removal, auditable gain, time/depth scenarios, and radargram export with explicit acquisition units. SEG-Y input uses a separate segyio adapter; native GPRPy files are serialized sessions.
48 skills · 3 agents
Gravity and magnetic data processing and forward modelling using Fatiando a Terra. Use when the agent needs to: (1) Compute gravity forward models (point masses, prisms, tesseroids), (2) Apply terrain/Bouguer corrections, (3) Grid scattered potential field data with equivalent sources, (4) Perform upward/downward continuation, (5) Calculate magnetic anomalies from magnetized bodies, (6) Apply derivative filters (gradients, tilt angle), (7) Process regional or local gravity surveys.
48 skills · 3 agents
Combine groundwater observations, well logs, and meteorological stresses into a checked hydrogeological interpretation or groundwater-level model. Use for aquifer monitoring and recharge/pumping response analysis, with spatial flow modelling only when its geometry and boundary data are available.
48 skills · 3 agents
Landscape evolution and surface process modelling in Python. Build 2D numerical models for erosion, hydrology, soil transport, and geomorphology. Use when the agent needs to: (1) Model landscape evolution over time, (2) Simulate river/stream erosion, (3) Route water flow across terrain, (4) Model hillslope diffusion processes, (5) Simulate weathering and soil production, (6) Analyze drainage networks, (7) Combine multiple geomorphic processes, (8) Load/save DEM data for modeling.
48 skills · 3 agents
Read, write, and manipulate LAS (Log ASCII Standard) well log files for borehole geophysical and petrophysical data. Use when the agent needs to: (1) Read/parse LAS 1.2 or 2.0 files, (2) Extract well headers or curve data, (3) Convert LAS to DataFrame/CSV/Excel, (4) Create new LAS files from arrays, (5) Modify existing LAS files, (6) Handle problematic or malformed LAS files, (7) Batch process multiple well files.
48 skills · 3 agents
Build 3D geological models with implicit surfaces, faults, folds, and stratigraphic constraints from structural geology data. Use when the agent needs to: (1) Build 3D geological models from structural data, (2) Model fault networks and displacements, (3) Create folded geology representations, (4) Interpolate geological surfaces, (5) Export models to VTK for visualization, (6) Perform uncertainty analysis on geological models, (7) Evaluate model values on grids.
48 skills · 3 agents
Stereonet plots for structural geology using matplotlib. Create lower-hemisphere stereographic projections for orientation data. Use when the agent needs to: (1) Create stereonet plots for structural data, (2) Plot planes as great circles or poles, (3) Plot lineations with trend/plunge, (4) Generate density contours for orientations, (5) Calculate mean orientations and statistics, (6) Analyze fold axes with pi-diagrams, (7) Convert between strike/dip and trend/plunge formats.
48 skills · 3 agents
Read and validate magnetotelluric transfer functions with MTpy-v2. Use for EDI import, impedance uncertainty, apparent resistivity/phase, documented tensor rotations, response plots and preparation for modelling. External inversion solvers and raw time-series processing require separate tools and validation.
48 skills · 3 agents
Plan and validate near-surface interpretation from GPR, electrical resistivity tomography, or magnetotelluric data. Use when selecting acquisition-dependent processing and inversion branches, comparing survey results, or relating geophysical anomalies to independently supported geological hypotheses.
48 skills · 3 agents
Seismology data processing with ObsPy. Helps with reading seismic waveforms, filtering/processing time series, fetching data from FDSN services, and earthquake analysis. Use when the agent needs to: (1) Read seismic data formats (MiniSEED, SAC, GSE2, SEGY), (2) Filter or process waveforms, (3) Fetch data from IRIS/USGS/FDSN services, (4) Search for earthquakes by magnitude/location, (5) Plot seismograms or spectrograms, (6) Remove instrument response, (7) Analyze station metadata.
48 skills · 3 agents
Groundwater time series analysis and modelling using transfer function noise models. Use when the agent needs to: (1) Analyze groundwater level time series, (2) Model well responses to precipitation/pumping, (3) Calibrate aquifer parameters from head data, (4) Forecast or hindcast groundwater levels, (5) Decompose hydrological signals into components, (6) Compare response functions, (7) Perform model diagnostics and uncertainty analysis.
48 skills · 3 agents
Configure PetroPy fluid-property and multimineral formation evaluation from normalized LAS well logs. Use for calibrated porosity, water saturation, mineral and pore-volume estimation, missing-sample handling, and explicitly defined pay intervals. Requires documented log units, fluid parameters and mineral endpoints; standalone permeability correlations need separate methods.
48 skills · 3 agents
Data file fetching and caching for geoscience applications. Download sample datasets with automatic caching, checksum verification, and multiple download sources. Use when the agent needs to: (1) Download datasets from URLs or DOIs, (2) Cache files locally with automatic verification, (3) Verify file integrity with SHA256/MD5 hashes, (4) Extract compressed archives (ZIP, TAR, GZIP), (5) Create data registries for reproducible workflows, (6) Fetch from Zenodo or other repositories.
48 skills · 3 agents
Multi-method geophysical modelling and inversion framework. Use when the agent needs to: (1) Perform electrical resistivity tomography (ERT) inversion, (2) Run seismic refraction tomography (SRT), (3) Model induced polarization (IP) data, (4) Simulate ground penetrating radar (GPR), (5) Create finite element meshes for geophysical problems, (6) Perform joint inversions of multiple datasets, (7) Forward model geophysical responses, (8) Analyze time-lapse monitoring data.
48 skills · 3 agents
Make geographic maps and process geospatial grids with PyGMT and GMT, including projection, regions, grid registration and vector/raster export. Use for GMT cartography and map-ready scientific data; check the separate GMT shared library before plotting.
48 skills · 3 agents
Analyse paleoclimate proxy time series with Pyleoclim, including irregular sampling, spectra and comparisons across uncertain chronologies. Use for proxy Series and EnsembleSeries analysis, spectral peaks and age-model sensitivity; use xarray for gridded climate fields.
48 skills · 3 agents
Linear operators for large-scale inverse problems with matrix-free representations. Use when the agent needs to: (1) Define linear operators for forward/adjoint operations, (2) Solve inverse problems (deconvolution, imaging, tomography), (3) Apply signal processing transforms (FFT, convolution, derivatives), (4) Compose operators for complex workflows, (5) Perform regularized inversion with smoothness or sparsity constraints, (6) Process seismic or image data at scale.
48 skills · 3 agents
Geochemistry data analysis and visualization for igneous, metamorphic, and sedimentary rocks. Use when the agent needs to: (1) Create ternary diagrams for compositional data, (2) Plot REE spider diagrams with normalization, (3) Build TAS or other classification diagrams, (4) Apply log-ratio transforms to compositional data, (5) Calculate CIPW norms, (6) Generate Harker variation diagrams, (7) Compute element ratios and anomalies.
48 skills · 3 agents
3D visualization and mesh analysis for geoscience data using PyVista/VTK. Use when the agent needs to: (1) Create 3D visualizations of geological models, (2) Render seismic volumes or voxel data, (3) Visualize point clouds or well paths, (4) Plot surfaces and meshes in 3D, (5) Read/write VTK, STL, OBJ files, (6) Create cross-sections through 3D models, (7) Export publication-quality figures or interactive HTML.
48 skills · 3 agents
Maintain or migrate legacy RockHound geoscience dataset downloads, caches and loaders such as PREM. Use when an existing project imports RockHound; prefer maintained Ensaio fetchers for supported new dataset workflows.
48 skills · 3 agents
Rock physics and AVO analysis workflow from well log preparation through elastic property calculation, fluid substitution, AVO modelling, and synthetic seismogram generation. Use when performing rock physics studies or AVO feasibility analysis.
48 skills · 3 agents
Estimate and diagnose variograms, perform ordinary kriging, and validate spatial interpolation with SciKit-GStat. Use for empirical or directional variograms, covariance-model comparison and kriging prediction/variance; use PyKrige or GSTools when the task requires universal kriging or external drift.
48 skills · 3 agents
Read, write, and manipulate SEG-Y seismic data files. Fast C library with Python bindings for trace, header, inline, and crossline access. Use when the agent needs to: (1) Read/inspect SEG-Y files, (2) Extract trace data or headers, (3) Access 3D survey data by inline/crossline, (4) Create new SEG-Y files from arrays, (5) Modify existing SEG-Y files, (6) Extract subsets of seismic data, (7) Read/write Seismic Unix format.
48 skills · 3 agents
Read SEG-Y as labelled xarray datasets with SEGY-SAK, inspect header-defined survey dimensions and process seismic volumes lazily. Use for SEG-Y/xarray/Dask workflows; use segyio for exact low-level trace and header editing.
48 skills · 3 agents
End-to-end seismic interpretation workflow from SEG-Y loading through signal processing, rock physics, and visualization. Use when working with seismic data analysis pipelines.
48 skills · 3 agents
Simulation and Parameter Estimation in Geophysics. Framework for geophysical forward modeling and inversion. Use when the agent needs to: (1) Run geophysical inversions (DC resistivity, magnetics, gravity, EM), (2) Create forward models for potential fields or electromagnetic methods, (3) Build survey geometries and receiver configurations, (4) Design mesh discretizations for simulations, (5) Apply regularization and optimization to inverse problems, (6) Model subsurface physical properties from geophysical data.
48 skills · 3 agents
Create, visualize, and analyze lithological and stratigraphic logs for well data. Use when the agent needs to: (1) Create lithology columns from depth intervals, (2) Parse geological descriptions into structured logs, (3) Visualize stratigraphic columns with patterns and colors, (4) Perform well-to-well correlations, (5) Extract statistics like net-to-gross ratios, (6) Define rock type lexicons and legends, (7) Export lithology data to CSV/LAS/JSON.
48 skills · 3 agents
Discover and compose geoscience skills for Python coding tasks. Use when choosing a geoscience library, finding a skill for a data format or method, or planning work across seismic, well logs, geological modelling, inversion, and other geoscience domains.
48 skills · 3 agents
Spatial data gridding and interpolation with a machine-learning style API. Process geographic and Cartesian point data onto regular grids. Use when the agent needs to: (1) Grid scattered spatial data onto regular grids, (2) Interpolate point data using splines, linear, or cubic methods, (3) Process geographic coordinates with projections, (4) Reduce large datasets using block averaging, (5) Remove polynomial trends from spatial data, (6) Cross-validate gridding parameters, (7) Create processing pipelines with Chain, (8) Grid vector data like GPS velocities.
48 skills · 3 agents
Complete well log evaluation workflow from LAS/DLIS loading through QC, petrophysical analysis, lithology classification, and visualization. Use when performing formation evaluation from well log data.
48 skills · 3 agents
Subsurface well data analysis toolkit for loading, processing, and analyzing well logs, projects, and formation tops. Built on lasio with enhanced curve processing. Use when the agent needs to: (1) Load wells from LAS files with metadata, (2) Work with multi-well Projects, (3) Process curves (despike, smooth, resample, normalize), (4) Manage formation tops, (5) Export well data to DataFrame/LAS/CSV, (6) Perform cross-well analysis and QC.
48 skills · 3 agents
N-dimensional labeled arrays for geoscience data. Read/write NetCDF, work with climate and oceanographic datasets, perform multi-dimensional analysis with labeled coordinates. Use when the agent needs to: (1) Read/write NetCDF or Zarr files, (2) Work with multidimensional arrays with labeled dimensions, (3) Analyze climate, ocean, or atmosphere data, (4) Compute temporal aggregations (daily/monthly/annual means), (5) Perform area-weighted statistics, (6) Process large datasets with Dask, (7) Apply CF conventions to scientific data.
48 skills · 3 agents
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