Astropy FITS Image Summary Starter
SkillMediaUse this skill to generate or load a tiny FITS image with astropy.io.fits and summarize the core image and header metadata.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Astropy FITS Image Summary Starter skill
About this capability
A framework for discovering, compiling, and validating reusable skills for scientific agents.
What this skill tells your AI
The instructions your AI receives, as published by ma-compbio-lab/skillfoundry in skills/physics-and-astronomy/astropy-fits-image-summary-starter/SKILL.md and read by ahel’s review.
Use this skill to generate or load a tiny FITS image with astropy.io.fits and summarize the core image and header metadata.
What it does
- Builds a deterministic toy 2D FITS image when no input file is supplied.
- Writes the FITS file to disk when requested and reloads it through Astropy.
- Reports image shape, mean, standard deviation, and a few astronomy-style header fields.
When to use it
- You need a runnable starter for
Telescope image preprocessing. - You want a verified FITS I/O example before scaling to real sky-survey or instrument data.
Example
slurm/envs/astronomy/bin/python skills/physics-and-astronomy/astropy-fits-image-summary-starter/scripts/run_astropy_fits_image_summary.py \
--fits-out scratch/astronomy/toy_image.fits \
--out scratch/astronomy/toy_image_summary.json
Verification
- Skill-local tests:
python3 -m unittest discover -s skills/physics-and-astronomy/astropy-fits-image-summary-starter/tests -p 'test_*.py' - Repository smoke:
python3 -m unittest tests.smoke.test_phase30_empty_domain_seed_skills -v
Signals
- GitHub stars
- 39
- Forks
- 5
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
astropy-fits-image-summary-starter- Source
- github.com/ma-compbio-lab/skillfoundry