A comprehensive cosmic companion for stargazers, students, and professional astrophysicists to explore and analyze the universe.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install astronomy
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install astronomy using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Astronomy?
The Astronomy skill is a versatile tool designed to bridge the gap between amateur stargazing and professional astrophysics research. It leverages adaptive context detection to provide content ranging from simple scale analogies for beginners to complex data pipeline workflows for researchers. By integrating this into your Openclaw Skills collection, you gain an intelligent assistant capable of deriving physical equations, citing academic journals, and planning observational sessions based on real-time cosmic events. The skill prioritizes grounded, observable sky data while translating massive cosmic scales into tangible comparisons for users of all levels.
Astronomy Use Cases
- Beginner stargazers looking for simple explanations of planets and constellations visible in the night sky.
- Physics students needing step-by-step derivations of luminosity formulas and rigorous unit tracking.
- Professional researchers automating bibliography management and data retrieval from archives like JWST MAST or Gaia DR3.
- Educators debunking common astronomical misconceptions through actionable demos and current mission data.
How Astronomy Works
- The skill analyzes user input to detect technical proficiency through terminology, equipment mentions, or mathematical complexity.
- It adjusts its output style, selecting between wonder-focused narrative, academic physics, or professional research rigor.
- For observational queries, it cross-references location data to suggest visible celestial bodies and upcoming events like eclipses or ISS passes.
- For research tasks, it interfaces with standard astrophysics libraries and catalogs to provide publication-quality data and LaTeX-formatted citations.
Astronomy Setup
To activate the Astronomy capability within your environment, ensure you have the necessary dependencies for data processing and scientific analysis. Use the following command to prepare your environment for Openclaw Skills integration:
pip install astropy numpy scipy matplotlib
Once installed, the skill adapts to your technical level automatically based on the context of your queries.
Astronomy Data Schema & Taxonomy
The skill organizes data through professional astrophysical standards and educational frameworks to ensure precision.
| Category | Data Type | Standards/Catalogs |
|---|---|---|
| Observational | Coordinates & Time | SkyCoord, SIMBAD, Gaia DR3 |
| Academic | Citations & Papers | BibTeX, ADS Bibcodes, arXiv |
| Technical | Data Files | FITS handling, TAP/ADQL queries |
| Educational | Media & Demos | Mission updates (JWST, Mars Rovers) |
Astronomy Advanced Features
- Native support for Astropy workflows including FITS handling and SkyCoord conversions.
- Automated LaTeX generation for academic journals such as AAS and MNRAS.
- Integration with professional data archives including MAST, ESO, and SDSS CasJobs.
- Real-time observational event flagging based on hemisphere and light pollution constraints.
- High-fidelity uncertainty propagation for statistical and systematic error bars in measurements.
SKILL.md
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