Skip to content
TrustedSkillsbeta
Back to all skills

Astropy

Listed
davila7·vlatest·frontend·MIT

Astropy provides interactive astronomical data visualization tools, enabling users to explore and analyze celestial objects effectively.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add davila7/claude-code-templates --skill astropy -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

davila7

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. none of the 457 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as davila7/claude-code-templates.
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

astropy

What it does

This skill enables AI agents to perform advanced astronomical data analysis using Python's Astropy library. It handles tasks ranging from coordinate transformations and unit conversions to manipulating time series and fitting models to observational data.

When to use it

  • Coordinate Systems: Converting celestial coordinates between different reference frames (e.g., ICRS, Galactic) or calculating angular separations between objects.
  • Unit Management: Performing complex physics calculations where automatic unit conversion and consistency checking are critical for accuracy.
  • Time Analysis: Processing astronomical time scales (like TDB or TT) to correct for relativistic effects in observation logs.
  • Data Fitting: Applying statistical models to light curves or spectral data to extract physical parameters from noisy observations.

Key capabilities

  • Coordinate system transformations and frame conversions
  • Physical unit handling and automatic conversion
  • Time scale management and astronomical time calculations
  • Data fitting and model optimization for scientific datasets
  • Sky coordinate geometry and angular distance computations

Example prompts

  • "Convert the coordinates of M31 from Galactic to Equatorial systems using Astropy."
  • "Analyze this light curve data, converting all timestamps to TDB and fitting a sinusoidal model to determine the period."
  • "Calculate the angular separation between two stars given their RA and Dec in degrees."

Tips & gotchas

Ensure your environment has the astropy package installed via pip or conda before invoking this skill. For best results, provide raw numerical data with explicit units rather than relying on the agent to infer them from context strings.