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.
8.3
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Exceptional astronomy/astrophysics skill with comprehensive coverage of astropy functionality. The description clearly identifies when to use the skill across 7+ major domains (coordinates, units, FITS, cosmology, time, tables, WCS). SKILL.md provides excellent overview with quick-start examples, core capabilities summary, common workflows, and best practices. Structure is clean with detailed knowledge delegated to 7 reference files covering each module. Task knowledge is thorough with concrete code examples for coordinate transformations, FITS manipulation, cosmological calculations, and catalog matching. Novelty is strong—astronomy tasks require specialized domain knowledge (coordinate frames, time scales, FITS format, cosmological models) that would consume significant tokens for a CLI agent to implement correctly. The skill encapsulates complex astronomical computations and data formats that benefit significantly from pre-packaged expertise. Minor improvement possible in structure (slightly long SKILL.md), but overall organization is logical and well-indexed.
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