What is the Astropy Claude Code Skill?

It is a specialized capability that provides Claude with deep domain knowledge and best practices for using the Astropy Python library for astronomical research and data analysis.

Is it useful for unit-aware calculations?

Yes, it enforces dimensional consistency by managing physical quantities and specialized astronomical unit equivalencies automatically.

Does it support cosmological calculations?

Absolutely; it covers distance calculations, lookback times, and density parameters using standard models like Planck18 or WMAP9.

How does it handle celestial coordinate systems?

It facilitates seamless transformations between frames like ICRS, Galactic, and observer-dependent AltAz, including support for proper motions and radial velocities.

Can this skill help with FITS file manipulation?

Yes, it provides optimized patterns for reading, modifying, and creating FITS headers and multi-extension data units using context managers.

Astropy Mastery

Name: Astropy Mastery
Author: Activer007

byActiver007

Data Science & ML

Facilitates professional-grade astronomical data analysis and astrophysical calculations using the core Astropy Python library.

About

Astropy Mastery provides comprehensive guidance and implementation patterns for the core Python package for astronomy, enabling researchers and developers to perform complex tasks with high precision. This skill streamlines coordinate transformations, physical unit conversions, and FITS file manipulations while offering robust support for cosmological calculations, precise time handling, and tabular data processing. It is designed to assist in every stage of the astronomical data pipeline, from raw file handling to sophisticated statistical analysis and visualization.

Key Features

Unit-aware physical quantity management and dimensional consistency
Cosmological calculations including luminosity distance and lookback time
Precise time scale conversions and astronomical time systems
0 GitHub stars
Coordinate transformations between ICRS, Galactic, FK5, and AltAz frames
Comprehensive FITS file handling for image and table data

Use Cases

Processing and analyzing multi-extension FITS imagery from astronomical surveys
Performing cross-match analysis and filtering on large tabular astronomical catalogs
Converting celestial coordinates for telescope observation planning and target tracking

About

Key Features

Unit-aware physical quantity management and dimensional consistency
Cosmological calculations including luminosity distance and lookback time
Precise time scale conversions and astronomical time systems
0 GitHub stars
Coordinate transformations between ICRS, Galactic, FK5, and AltAz frames
Comprehensive FITS file handling for image and table data

Use Cases

Processing and analyzing multi-extension FITS imagery from astronomical surveys
Performing cross-match analysis and filtering on large tabular astronomical catalogs
Converting celestial coordinates for telescope observation planning and target tracking