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astropy

Plan and execute astronomy data analysis workflows with Astropy core modules.

1|Updated Mar 11, 2026
Search Tags:#astronomy#data-analysis#cosmology#astropy#fits#coordinate-transformations
One-click install
npx skills add https://github.com/SciMate-AI/scicli --skill astropy-scimate-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: astropy
Source: https://github.com/SciMate-AI/scicli/tree/main/internal/skills/bundled/claude-scientific-skills/skills/astropy
Command: npx skills add https://github.com/SciMate-AI/scicli --skill astropy-scimate-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Astropy provides a cohesive, open-source toolkit that unifies essential astronomical data analysis tasks, reducing the need to stitch together multiple libraries and ensuring consistent handling of units, coordinates, time, and I/O.

Core Features & Use Cases

  • Units and quantities across astronomy data to maintain dimensional consistency.
  • Coordinate systems and transformations (ICRS, Galactic, AltAz) for catalog matching, cross-matching, and sky queries.
  • Time handling and time-scale conversions for precise timing and observational work.
  • FITS file I/O, table operations, and cosmology calculations for end-to-end data pipelines.
  • Use cases include converting coordinates, reading FITS catalogs, computing distances, and preparing data for visualization and modeling.

Quick Start

Run a basic Astropy example by loading a FITS file, applying a unit conversion, and transforming a sky coordinate.

Frequently Asked Questions about astropy

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I convert astronomical coordinates between ICRS and Galactic systems?▼

Converting astronomical coordinates between ICRS and Galactic systems is executed through dedicated coordinate transformation modules that map sky positions across reference frames. This supports accurate catalog matching and cross-referencing for observational research.

What is the best way to read FITS files and perform table operations for astronomy data analysis?▼

Reading FITS files and performing table operations for astronomy data analysis is achieved through integrated I/O modules that load catalogs into structured tables. This enables subsequent filtering, unit conversion, and pipeline preparation.

How do I maintain unit consistency across astronomy data calculations?▼

Maintaining unit consistency across astronomy data calculations is managed by assigning physical units and quantities to data arrays during processing. This enforces dimensional correctness and prevents conversion errors in research pipelines.

Can I compute cosmological distances and time-scale conversions in the same workflow?▼

Computing cosmological distances and time-scale conversions in the same workflow is supported by unified cosmology and time modules. These tools calculate distances and convert observational times while maintaining end-to-end reproducibility.

Does astronomy data analysis with Astropy require external dependencies?▼

Astronomy data analysis with Astropy operates without external dependencies, using bundled components for core tasks. This standalone environment ensures safe execution and robust error handling for research pipelines.

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