Data Science & ML Agent Skills

PyTDC Drug Discovery AI

Simplifies access to AI-ready datasets and benchmarks for drug discovery and therapeutic machine learning tasks.

PyMC Bayesian Modeling

Build, fit, and diagnose sophisticated Bayesian statistical models using PyMC v5+ and ArviZ.

DLIS/LIS Well Log Parser

Parses and extracts data from DLIS and LIS well log files for petrophysical analysis and geoscience workflows.

Geoscience Skills Navigator & Workflows

Orchestrates and routes user intent across a comprehensive library of 30 specialized geoscience AI skills for seismic, well log, and geological modeling.

Structural Geology Stereonets

Generates professional stereographic projections and performs structural geology analysis using Matplotlib and mplstereonet.

Pastas Groundwater Analysis

Models and analyzes groundwater time series data using transfer function noise models to understand aquifer behavior and forecast levels.

Ethics Review & Impact Assessment

Evaluates technology and AI systems for ethical risks using comprehensive impact assessments and responsible innovation frameworks.

Pyrolite Geochemistry Analysis

Performs advanced geochemical data analysis and visualization for igneous, metamorphic, and sedimentary rock compositions.

Machine Learning System Design

Architects production-grade machine learning systems including end-to-end pipelines, feature stores, and scalable model serving infrastructure.

pyGIMLi Geophysical Inversion

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

Harmonica - Gravity & Magnetics

Processes and models gravity and magnetic potential field data using the Fatiando a Terra ecosystem.

Geostatistical Analysis & Kriging

Performs advanced geostatistical analysis including variogram modeling and kriging interpolation using a scikit-learn compatible API.

Seismic Interpretation Workflow

Orchestrates end-to-end seismic data analysis pipelines from SEG-Y loading to rock physics modeling and 3D visualization.

GemGIS Geospatial Processing

Streamlines spatial data preparation and DEM sampling for 3D geological modeling with GemPy.

PyVista 3D Geoscience Visualization

Generates high-fidelity 3D visualizations and mesh analyses for geological models, seismic data, and well trajectories using PyVista and VTK.

LoopStructural 3D Geological Modeling

Builds complex 3D geological models featuring implicit surfaces, folds, and fault networks from structural data.

GPR Data Processing (GPRPy)

Processes and visualizes ground-penetrating radar (GPR) data using professional signal processing and depth conversion techniques.

Geoscience Lithology Logs

Create, visualize, and analyze structured lithological and stratigraphic logs for geoscience well data.

PyLops Inverse Problems & Linear Operators

Implements matrix-free linear operators and solvers for large-scale inverse problems, signal processing, and seismic imaging workflows.

Lasio Well Log Parser

Read, write, and manipulate LAS (Log ASCII Standard) well log files for borehole geophysical and petrophysical data analysis.

ObsPy Seismology Data Processing

Processes seismic waveforms and earthquake data using the ObsPy library for comprehensive seismological analysis and signal processing.

Rock Physics & AVO Workflow

Performs end-to-end rock physics analysis and AVO feasibility studies using specialized geoscience Python libraries.

SEG-Y Seismic Data (segyio)

Facilitates high-performance reading, writing, and manipulation of SEG-Y seismic data files for geophysical analysis.

SimPEG Geophysics Inversion

Performs complex geophysical forward modeling and inversion for subsurface physical property mapping.

Verde Spatial Data Gridding

Grids and interpolates scattered spatial data using machine-learning style APIs and processing pipelines.

Landlab Surface Process Modeling

Builds 2D numerical models for landscape evolution, erosion, hydrology, and geomorphology using the Landlab Python framework.

Geological 3D Modelling Workflow

Build complex 3D geological models from spatial data, boreholes, and GIS inputs using GemPy, LoopStructural, and PyVista.

Well Log Evaluation Workflow

Automates the end-to-end formation evaluation pipeline from raw LAS/DLIS data to petrophysical analysis and 3D visualization.

GeostatsPy Geostatistical Analysis

Performs GSLIB-inspired geostatistical analysis including variogram modeling, kriging interpolation, and spatial simulations.

PetroPy Petrophysical Analysis

Performs advanced formation evaluation and petrophysical analysis directly from well log data using industry-standard calculations.