Individual skill
astropy
Core Python library for astronomy and astrophysics workflows that need Astropy APIs, including units/quantities, coordinates, FITS I/O, tables, time systems, WCS, and cosmology. Use when implementing or debugging astronomical data analysis code with Astropy.
plugins/KalarisLabs/research-agent-skills/skills/astropy/SKILL.md
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- astronomy,-astrophysics,-fits,-coordinates,-cosmology,-physics Declared skill tag
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SKILL.mdcore · 16,482 bytesSKILL.mdcore · 16,482 bytesSKILL.mdcore · 16,482 bytesSKILL.mdcore · 16,482 bytesSKILL.mdcore · 16,482 bytesSKILL.mdcore · 16,482 bytesSKILL.mdcore · 16,482 bytesreferences/coordinates.mddoc · 7,804 bytesreferences/cosmology.mddoc · 6,762 bytesreferences/fits.mddoc · 8,914 bytesreferences/tables.mddoc · 9,610 bytesreferences/time.mddoc · 9,568 bytesreferences/units.mddoc · 3,766 bytesreferences/wcs_and_other_modules.mddoc · 9,146 bytes
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# Astropy
## Overview
Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis. Use astropy for coordinate transformations, unit and quantity calculations, FITS file operations, cosmological calculations, precise time handling, tabular data manipulation, and astronomical image processing.
## When to Use This Skill
Use astropy when tasks involve:
- Converting between celestial coordinate systems (ICRS, Galactic, FK5, AltAz, etc.)
- Working with physical units and quantities (converting Jy to mJy, parsecs to km, etc.)
- Reading, writing, or manipulating FITS files (images or tables)
- Cosmological calculations (luminosity distance, lookback time, Hubble parameter)
- Precise time handling with different time scales (UTC, TAI, TT, TDB) and formats (JD, MJD, ISO)