claudecodex

scientific-domain-applications

Domain-specific scientific computing agents and skills for astronomy, astrophysics, and multidimensional data analysis with AstroPy and Xarray.

32 on GitHubby SSEC Engineering Teamv0.1.0BSD-3-Clauseupdated 13 days agodata-science
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Plugin scientific-domain-applications from marketplace rse-plugins in uw-ssec/rse-plugins. Commands read from the repo's manifest — 12 days ago.

What it installs

Skills (2)

  • astropy-fundamentals

    Use when the user asks about astronomical data, FITS files, celestial coordinates, photometry, spectroscopy, or references AstroPy. Work with astronomical data using AstroPy for FITS file I/O, coordinate transformations, physical units, precise time handling, catalog cross-matching, photutils photom

  • xarray-for-multidimensional-data

    Use when the user asks about Xarray, xarray datasets, NetCDF files, multidimensional labeled arrays, or scientific/climate data analysis in Python. Work with labeled multidimensional arrays for scientific data analysis using Xarray. Covers NetCDF/HDF5/Zarr I/O, Dask integration for large datasets, D

Slash commands (2)

  • /scientific-domain-applications:astropy-fundamentals

    Work with astronomical data using AstroPy for FITS files, coordinates, units, photometry, spectroscopy, and catalog matching

  • /scientific-domain-applications:xarray-for-multidimensional-data

    Work with labeled multidimensional data using Xarray for NetCDF, Zarr, climate, and satellite data analysis

Subagents (1)

  • astronomy-astrophysics-expert

    Expert astronomer and astrophysicist for observational data analysis, theoretical calculations, and astronomical research. Specializes in AstroPy, FITS data, photometry, spectroscopy, coordinate systems, and time-domain astronomy.

View source on GitHub

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