astrophysics-data-guide
Astronomical data processing with Astropy, FITS files, and sky surveys
Astronomical data processing with Astropy, FITS files, and sky surveys
GIS analysis and remote sensing workflows for geospatial research applications
Apply numerical methods and scientific computing techniques
Create maps, choropleths, and spatial data visualizations for research
Search astrophysics and physics literature via NASA ADS bibliographic database
Earthquake data analysis, seismogram processing, and seismic research
Satellite imagery analysis and remote sensing for earth science research
6 geoscience & climate skills. Trigger: earth science data, GIS, remote sensing, climate modeling. Design: geospatial tools, satellite data processing, and environmental models.
QUANTITATIVE skill for validating wave deliverables against goal milestones using 0-100% alignment scoring. Prevents scope drift, detects misalignment, enforces goal-wave consistency. Requires goal-management for milestone data. Essential for multi-wave projects to maintain North Star alignment throughout execution.
use to query historical data on the IMSA Weathertech seasons
Calculate ISS orbital positions, propagate TLEs, and validate satellite tracking accuracy. Use when working with satellite.js, TLE data, orbital mechanics, position calculations, or SGP4 propagation.
Extract physical observables with error estimates from completed DQMC simulations. Use when computing density, double occupancy, spin correlations, structure factors, or any measured quantity from simulation data.
Instructions for downloading the ai4space repository, useful when the user wants to start working with the lunar base model.
Guide agent through geospatial data analysis tasks using built-in, learned, and fabricated geo tools
Guide agent through raster and satellite imagery analysis with the built-in, learned, and fabricated geo tools
NHGIS — census geography crosswalks via Portal: links schools (ncessch) and colleges (unitid) to tracts, block groups, CBSAs (1990-2020). Census demographics NOT in Portal — access NHGIS directly. Use for linking education data to census geography.
Spatial data: GeoDataFrames, spatial joins, CRS/projections, choropleth/interactive maps, spatial autocorrelation, PySAL. Use for geographic data, spatial files (Shapefile, GeoPackage, GeoParquet), or spatial stats. For charts without GIS use plotly.
Generate or edit images using AI models (FLUX, Gemini). Use for scientific illustrations, diagrams, schematics, infographics, concept visualizations, and artistic images. Supports image editing to modify existing images (change colors, add/remove elements, style transfer). Useful for figures, posters, and visual explanations.
Microscopy data management platform. Access images via Python, retrieve datasets, analyze pixels, manage ROIs/annotations, batch processing, for high-content screening and microscopy workflows.
Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.
Calculate seawater thermodynamic properties using TEOS-10 standard including density, salinity, sound speed, and freezing temperature for oceanography.
Calculate material density and volume from mass and geometric dimensions for materials mechanics analysis.
Calculate atmospheric parameters including Coriolis parameter, geostrophic wind, heat index, potential temperature, and dewpoint for meteorology and climate science.
Assess wind energy potential and perform site analysis using atmospheric science calculations.