astropy-fundamentals

17

uw-ssec

This skill should be used when the user asks to "read FITS files", "convert coordinates", "work with astronomical units", "handle astronomical time", "match catalogs", "do aperture photometry", "analyze spectra", "use SkyCoord", "work with WCS", "convert between coordinate frames", "calculate separations", or needs guidance on Astropy, FITS I/O, celestial coordinates, physical units (astropy.units), astronomical time scales, catalog cross-matching, photutils photometry, or specutils spectroscopy.

scientific-documentation

17

uw-ssec

This skill should be used when the user asks to "set up documentation", "create docs for Python package", "configure Sphinx", "set up MkDocs", "write docstrings", "use NumPy-style docstrings", "set up Read the Docs", "integrate Jupyter notebooks in docs", "organize documentation with Diataxis", "create API reference docs", "build documentation with nox", "fix documentation build errors", "documentation build fails", "sphinx warning", "autodoc error", "fix sphinx errors", "make documentation accessible", "accessibility guidelines for docs", "accessible images", "alt text for figures", "colorblind-friendly plots", "color contrast in docs", or needs guidance on scientific Python documentation best practices, Sphinx extensions, documentation themes (pydata-sphinx-theme, furo, material), documentation hosting, accessibility standards, or troubleshooting documentation issues.

code-quality-tools

17

uw-ssec

This skill should be used when the user asks to "set up ruff", "configure mypy", "add pre-commit hooks", "fix linting errors", "add type hints", "set up code formatting", "configure linters", "set up CI quality checks", "fix mypy errors", "configure ruff rules", or needs guidance on code quality tools (ruff, mypy, pre-commit), type checking configuration, linting rules for scientific Python, or automated code quality pipelines.

python-testing

17

uw-ssec

This skill should be used when the user asks to "write tests", "set up pytest", "add test fixtures", "parametrize tests", "test numerical code", "configure pytest", "add coverage", "write unit tests", "write integration tests", "test with numpy", "fix failing tests", or needs guidance on pytest configuration, test organization, scientific Python testing patterns, numerical algorithm testing, fixture design, or continuous integration for tests.

pixi-package-manager

17

uw-ssec

This skill should be used when the user asks to "set up pixi", "add pixi dependencies", "create pixi environment", "migrate from conda to pixi", "configure pixi.toml", "add pixi tasks", "set up reproducible environment", "manage conda-forge packages", "create multi-environment project", or needs guidance on pixi package manager, conda-forge integration, PyPI dependencies in pixi, pixi task automation, or replacing conda/mamba workflows with pixi.

xarray-for-multidimensional-data

17

uw-ssec

This skill should be used when the user asks to "read NetCDF files", "work with xarray", "analyze climate data", "process satellite data", "use DataArray", "create Dataset", "work with multidimensional data", "use Dask with xarray", "read Zarr files", "work with labeled arrays", "use DataTree", "process raster data with rioxarray", or needs guidance on Xarray, NetCDF/HDF5/Zarr I/O, labeled multidimensional arrays, climate/satellite/oceanographic data analysis, Dask integration for large datasets, or geospatial raster operations.

python-packaging

17

uw-ssec

This skill should be used when the user asks to "create a Python package", "set up pyproject.toml", "publish to PyPI", "configure Hatchling", "use src layout", "add package metadata", "create CLI tool", "set up package structure", "configure build backend", "add optional dependencies", or needs guidance on Python packaging best practices, pyproject.toml configuration, src layout structure, Hatchling build backend, PyPI publishing workflows, or Scientific Python packaging standards.