underfoot-add-source
Use when adding a new geologic data source to the underfoot project — creating the required three-file structure, writing citation.json, and calling process_usgs_source with the correct parameters for GAM or USGS shapefile sources.
mc-observe-items
Visible item entities within radius R (default/max 7), filtered by forward cone and line-of-sight.
mc-observe-entities
Visible entities within radius R (default/max 7), filtered by view cone and line-of-sight.
mc-observe-blocks
Visible non-air blocks within radius R (default/max 7). Filtered by forward cone (yaw ±60°, pitch -60..+90) and line-of-sight. Does NOT report items.
mc-map-update
Updates persistent spatial map with observation data. Populates cell-based SpatialMap.
scipy
Comprehensive guide for SciPy - the fundamental library for scientific and technical computing in Python. Use for integration, optimization, interpolation, linear algebra, signal processing, statistics, ODEs, Fourier transforms, and advanced scientific algorithms. Built on NumPy and essential for research and engineering.
sunpy
The community-developed free and open-source software package for solar physics. Provides tools for data search and download, coordinate transformations specific to solar physics, and powerful image processing through the Map object. Use when working with solar data, solar images (EUV, magnetograms, white light), solar coordinates (Helioprojective, Heliographic), Fido data search, solar time series, differential rotation, limb fitting, or multi-instrument solar analysis (AIA, HMI, GOES).
marine-engineering-excel-analyzer
Analyzes Excel workbooks with marine engineering calculations and extracts formulas, data structures, and engineering models for Python implementation
photutils
An Astropy coordinated package for detecting and performing photometry of astronomical sources. Provides tools for background estimation, source detection (DAOFIND, IRAF), aperture photometry, and PSF (Point Spread Function) fitting. Use when working with astronomical image analysis, star/galaxy detection, measuring brightness (photometry), background subtraction, PSF fitting, aperture photometry, centroiding, or isophotal analysis.
xarray
N-dimensional labeled arrays and datasets in Python. Built on top of NumPy and Dask. It introduces labels in the form of dimensions, coordinates, and attributes on top of raw NumPy-like arrays, making data analysis in physical sciences more intuitive and less error-prone. Use for working with multi-dimensional scientific data, NetCDF/GRIB/Zarr files, climate/weather/oceanographic datasets, remote sensing, geospatial imaging, large out-of-memory datasets with Dask, and labeled array operations.
formulate-maxwell-equations
Work with the full set of Maxwell's equations in integral and differential form to analyze electromagnetic fields, waves, and energy transport. Use when applying Gauss's law, Faraday's law, or the Ampere-Maxwell law to boundary value problems, deriving the electromagnetic wave equation, computing Poynting vector and radiation pressure, solving for fields at material interfaces, or connecting electrostatics and magnetostatics to the unified electromagnetic framework.
formulate-maxwell-equations
Work with the full set of Maxwell's equations in integral and differential form to analyze electromagnetic fields, waves, and energy transport. Use when applying Gauss's law, Faraday's law, or the Ampere-Maxwell law to boundary value problems, deriving the electromagnetic wave equation, computing Poynting vector and radiation pressure, solving for fields at material interfaces, or connecting electrostatics and magnetostatics to the unified electromagnetic framework.
prove-geometric-theorem
幾何学的定理を系統的に証明する。合同・相似による証明、座標幾何学による証明、 ベクトルを用いた証明、変換（回転・平行移動・鏡映）による証明、および背理法を 含む。証明の構造化、補助線の追加戦略、証明の検証方法を扱う。
performing-cloud-forensics-investigation
通过收集和分析来自 AWS、Azure 和 GCP 服务的日志、快照和元数据，在云环境中开展取证调查。
scikit-image
A collection of algorithms for image processing in Python. Built on NumPy, SciPy, and Cython. It focuses on scientific image analysis including segmentation, geometric transformations, color space manipulation, analysis, and filtering.
rasterio
Raster geospatial data processing — the Python interface to GDAL for satellite imagery, elevation models, and grid-based geographic analysis. Rasterio reads and writes georeferenced raster formats (GeoTIFF, NetCDF, JP2, PNG, JPEG2000), handles Coordinate Reference Systems (CRS) and reprojection, performs band math (NDVI, NDWI, EVI), clips/masks rasters with vector geometries, resamples grids, and supports memory-efficient windowed I/O for multi-gigabyte files. Use when: working with satellite imagery or aerial photos, processing Digital Elevation Models (DEM/DTM/DSM), computing spectral indices from multispectral data, clipping raster data to polygon boundaries, reprojecting between coordinate systems, performing spatial interpolation on gridded data, analyzing land cover or land use change over time, integrating raster data with vector data (geopandas/shapely), or any task involving georeferenced grid/pixel data as opposed to vector points/lines/polygons.
document-insect-sighting
Insektensichtungen mit Standort, Datum, Lebensraum, Fotografie, Verhaltensnotizen, vorlaeufiger Bestimmung und Citizen-Science-Meldung erfassen. Umfasst GPS-Koordinaten, Wetterbedingungen, Mikrohabitatbeschreibung, Makrofotografie-Techniken, Verhaltensbeobachtungen, vorlaeufige Bestimmung bis zur Ordnung anhand des Koerperbaus und Meldung an Citizen-Science- Plattformen wie iNaturalist. Verwenden beim Dokumentieren eines angetroffenen Insekts, beim Beitragen zu Citizen-Science-Biodiversitaetsdatenbanken, beim Fuehren eines persoenlichen Beobachtungstagebuchs oder beim Unterstuetzen oekologischer Erhebungen mit georeferenzierten fotografischen Aufzeichnungen.
formulate-maxwell-equations
Work with the full set of Maxwell's equations in integral and differential form to analyze electromagnetic fields, waves, and energy transport. Use when applying Gauss's law, Faraday's law, or the Ampere-Maxwell law to boundary value problems, deriving the electromagnetic wave equation, computing Poynting vector and radiation pressure, solving for fields at material interfaces, or connecting electrostatics and magnetostatics to the unified electromagnetic framework.
analyze-magnetic-field
Calculate and visualize magnetic fields produced by current distributions using the Biot-Savart law, Ampere's law, and magnetic dipole approximations. Use when computing B-fields from arbitrary current geometries, exploiting symmetry with Ampere's law, analyzing superposition of multiple sources, or characterizing magnetic materials through permeability, B-H curves, and hysteresis behavior.
apply-gematria
Compute and analyze gematria (Hebrew numerical values) using standard, ordinal, and reduced methods. Covers word-to-number conversion, isopsephy comparisons, and interpretive frameworks. Use when computing the numerical value of a Hebrew word or phrase, comparing two words for shared gematria values, studying a biblical verse or divine name for numerical correspondences, or connecting a numerical result to its position on the Tree of Life.