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

0•

Data Science & ML

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

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

01Unit-aware physical quantity management and dimensional consistency

02Cosmological calculations including luminosity distance and lookback time

03Precise time scale conversions and astronomical time systems

040 GitHub stars

05Coordinate transformations between ICRS, Galactic, FK5, and AltAz frames

06Comprehensive FITS file handling for image and table data

Use Cases

01Processing and analyzing multi-extension FITS imagery from astronomical surveys

02Performing cross-match analysis and filtering on large tabular astronomical catalogs

03Converting celestial coordinates for telescope observation planning and target tracking

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add activer007/ordinary-claude-skills astropy

For use in Claude.ai and ChatGPT

Download Skill