Astropy Toolkit
Celestial coordinates, FITS files, units and cosmology — Astropy at your fingertips
- What
- Celestial coordinates, FITS files, units and cosmology — Astropy at your fingertips
- Cost
- Free
- Needs
- Python 3.11+ with the astropy package installed (via uv or pip). No account or API key. Some features (object name resolution, site lookups, remote FITS reads, IERS updates) need network access.
- Install
- Copy the installer prompt below into your Muse — your agent does the rest.
Curated by Skill Harbor — the deepest Astropy skill in this lot: a complete working reference for the core Python astronomy library, covering units and quantities (with equivalencies and logarithmic units), celestial coordinate transforms (ICRS, Galactic, FK5, AltAz, proper motions), FITS I/O, table operations (cross-matching, filtering, joins), precise time systems (UTC/TAI/TT/TDB, JD/MJD), WCS pixel-to-sky mapping, and cosmology (Planck18 distances, ages, lookback times) — with quick-start snippets and pointers to deep-dive reference files for each subsystem. Discovered via skills.sh, listed here with credit to its creator by @k-dense-ai. Honest caveats: requires Python 3.11+ with astropy installed; a few features (object name resolution, remote FITS reads, IERS updates) need network access; 1,634 installs on the catalog, but popularity is not a review. Skill Harbor never reviews the code, review it yourself before use. Not verified.
Version:
Install
Prerequisites: Python 3.11+ with the astropy package installed (via uv or pip). No account or API key. Some features (object name resolution, site lookups, remote FITS reads, IERS updates) need network access. Install "Astropy Toolkit" for me. A complete working reference for the Astropy Python astronomy library: units/quantities, celestial coordinate transforms, FITS I/O, tables, precise time systems, WCS mapping, and cosmology — with quick-start snippets and deep-dive reference files. Repository: https://github.com/k-dense-ai/scientific-agent-skills 1. Fetch the SKILL.md file for the astropy skill (and any helper files, e.g. the references/ docs) from the repository path into a temporary folder and summarize what it does in one or two sentences. 2. Safety check: review the SKILL.md and scripts for anything suspicious (unexpected network calls, shell commands, credential harvesting). This repo should contain zero secrets in code, credentials only via the secure vault, allowed hosts declared in the SKILL.md. Verify that holds here; STOP on any red flag and tell me. 3. Install it as a skill: copy SKILL.md and its helper files into the agent's skills directory, in a folder named "astropy". 4. Verify with no network calls: frontmatter valid, files in place. 5. Report what was installed, where, and what I still need to do myself (e.g. install astropy via uv/pip if not already present). GitHub is optional: if I have a GitHub account or the gh CLI, you may use it; otherwise public access is fine. Never require it unless it's in the prerequisites above. Rules: don't touch anything outside the temp folder and the install target. If anything looks off, stop and ask me.
Questions
How do I install a build?
Every product page includes a copy-paste install prompt. Paste it into your Muse and it sets the build up for you — no manual configuration.
Where does my money go?
Straight to the seller. Skill Harbor never processes payments: checkout happens on the seller’s own page, usually Stripe.
What does the ✓ next to a creator’s name mean?
It means we confirmed the identity of the person behind the listing. It says nothing about the code itself — always check a build before installing it.