Astropy

🌐Community
by microck · vlatest · Repository

Astropy provides a streamlined frontend for visualizing astronomical data, simplifying complex charts and plots for quick analysis.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add microck-astropy npx -- -y @trustedskills/microck-astropy
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "microck-astropy": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/microck-astropy"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

This skill provides access to Astropy, a Python package for astronomy. It allows AI agents to perform calculations and manipulations related to astronomical data, such as coordinate transformations, unit conversions, and working with FITS files (a common format for astronomical images). The agent can leverage this skill to analyze astronomical datasets or generate simulations.

When to use it

  • Analyzing telescope data: Use the skill to process raw data from telescopes, converting between different coordinate systems.
  • Simulating astronomical observations: Generate synthetic data sets for testing analysis pipelines.
  • Calculating orbital parameters: Determine and manipulate orbital elements of celestial objects.
  • Working with FITS files: Read, write, and manipulate astronomical image data stored in the FITS format.

Key capabilities

  • Coordinate transformations (e.g., between equatorial and galactic coordinates)
  • Unit conversions (e.g., converting between magnitudes and flux densities)
  • FITS file I/O (reading and writing)
  • Astronomical calculations (e.g., calculating rise times of celestial objects)

Example prompts

  • "Convert the J2000 coordinates 19h 30m 54s, +40° 18' 36'' to galactic coordinates."
  • "Read the FITS file 'image.fits' and display its header information."
  • “Calculate the apparent magnitude of a star with flux density 1e-12 erg/s/cm^2/Angstrom.”

Tips & gotchas

This skill requires a Python environment with Astropy installed. Ensure that your AI agent has access to this environment and can execute Python code before using the skill.

Tags

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Details

Version
vlatest
License
Author
microck
Installs
7

🌐 Community

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