직업

Astronomers

92개의 스킬

AI에게 물어보기

92개의 스킬

직업

Astronomers

92개의 스킬

AI에게 물어보기

92개의 스킬

Astropy

Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.

sickn3333.8k

천문학 및 물리학

Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.

K-Dense-AI18.8k

점술 및 신비주의

Astronomical Observation Method

Use when interpreting celestial phenomena for governance guidance or predicting earthly events. Tracks the five planets (五星) against 28 constellations (二十八宿) and applies the response framework: 日变脩德, 月变省刑, 星变结和.

baojie1.1k

천문학 및 물리학

Exoplanet Workflows

General workflows and best practices for exoplanet detection and characterization from light curve data. Use when planning an exoplanet analysis pipeline, understanding when to use different methods, or troubleshooting detection issues.

benchflow-ai990

천문학 및 물리학

Astronomy Cosmology

Analyzes astronomical observations and cosmological models including telescope data processing, celestial mechanics calculations, stellar evolution, galaxy classification, and cosmological parameter estimation; trigger when users discuss stars, galaxies, exoplanets, dark matter, or the universe's large-scale structure.

beita6969583

Camb Cosmology Calculator

CAMB cosmological perturbation skill for CMB power spectra, matter power spectra, and cosmological parameter estimation

a5c-ai575

Cosmosis Parameter Estimator

CosmoSIS cosmological parameter estimation skill for MCMC sampling and likelihood analysis

a5c-ai575

천문학 및 물리학

Expanded Drake Equation Analysis

Analyze and expand the Drake Equation by incorporating specific user-defined habitability, geological, and technological factors to refine probability estimates for extraterrestrial civilizations.

ECNU-ICALK333

천문학 및 물리학

Chromochemical Jovian Color Generator

Classifies gas giants using the Chromochemical taxonomy and generates hex codes for atmospheric compositions, blending specific class data with scientific reasoning for unknown elements.

ECNU-ICALK333

천문학 및 물리학

Format Planetary Satellite Lists Hierarchically

Lists planets and their satellites using a specific text format where the number of hyphens indicates relative order or distance.

ECNU-ICALK333

천문학 및 물리학

Stars We Prefer

Our preferred stars for celestial navigation and astronomical reference

block93

천문학 및 물리학

Orbital Mechanics

Classical orbital mechanics from Kepler to Hohmann. Covers the six orbital elements, Kepler's three laws, vis-viva, orbit types (circular, elliptical, parabolic, hyperbolic), transfer orbits, gravity assists, the two-body problem, and practical methods for computing ephemerides. Use when reasoning about planet motion, spacecraft trajectories, comet orbits, exoplanet transits, or binary star dynamics.

Tibsfox51

천문학 및 물리학

Relativity and Astrophysics at a Glance

Relativity and astrophysics from special relativity through cosmology. Covers Einstein's postulates, time dilation, length contraction, Lorentz transformations, relativistic momentum and energy (E=mc^2), spacetime diagrams, the equivalence principle, curved spacetime (conceptual), gravitational lensing, black holes (Schwarzschild solution, Chandrasekhar limit), stellar evolution (main sequence through supernova), and cosmology (Big Bang, Hubble's law, CMB, dark matter, dark energy, FLRW metric). Use when analyzing systems at relativistic speeds, strong gravitational fields, stellar lifecycles, or cosmological scales.

Tibsfox51

천문학 및 물리학

Distance Ladder

The cosmic distance ladder from radar ranging to Hubble flow. Covers parallax, spectroscopic parallax, cluster main-sequence fitting, Cepheid and RR Lyrae period-luminosity relations, Type Ia supernovae, Tully-Fisher, surface brightness fluctuation, and redshift-distance relations. Use when estimating, cross-checking, or critiquing any astronomical distance from a parsec to a gigaparsec.

Tibsfox51

천문학 및 물리학

Celestial Coordinates

Celestial coordinate systems and sky positioning. Covers horizon (altitude-azimuth), equatorial (right ascension-declination), ecliptic, and galactic systems; epoch and precession; coordinate transformations; planisphere use; and practical sky-locating from any latitude and date. Use when locating objects, planning observations, converting catalog coordinates, or teaching the geometry of the sky.

Tibsfox51

점술 및 신비주의

Dark Adaptation

Practical naked-eye and binocular sky observing. Covers dark adaptation, limiting magnitude, constellation recognition, star hopping, the messier and Caldwell catalogs accessible without a telescope, the Moon, planets, meteor showers, aurorae, and the ethics and habits of observing under light-polluted and dark skies. Use when teaching someone to find their way around the sky, planning a naked-eye session, or choosing a first binocular tour.

Tibsfox51

천문학 및 물리학

Where a Spectrum Comes From

Stellar spectral analysis from first light to chemical abundance. Covers continuum emission and absorption, the OBAFGKM classification sequence, luminosity classes, line identification, Doppler shifts, curve-of-growth abundance analysis, and the astrophysical conclusions that follow from a spectrum. Use when classifying a star, measuring radial velocity, inferring composition or temperature, or teaching why the Sun is mostly hydrogen.

Tibsfox51

천문학 및 물리학

The Four Pillars of Big Bang Cosmology

Observational cosmology from Hubble's law to the CMB. Covers redshift, Hubble expansion, the cosmological parameters, the cosmic microwave background, large-scale structure, galaxy rotation curves and dark matter, Type Ia SNe and dark energy, and the current state of Lambda-CDM. Use when reasoning about the large-scale universe, interpreting cosmological surveys, or teaching the Big Bang evidence chain.

Tibsfox51

천문학 및 물리학

Astropy

Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.

Supraforge14

천문학 및 물리학

Pixinsight Pipeline

Automated deep sky astrophotography processing with PixInsight. Use when processing astronomical images (nebulae, galaxies, star clusters) through the full pipeline: channel combination, calibration, stretching, Ha/narrowband injection, star handling, and final adjustments. Covers HaRGB, HaLRGB, and LRGB workflows. Drives PixInsight's PJSR scripting engine via Node.js file-based IPC bridge.

aescaffre12

천문학 및 물리학

Astronomy And Astrophysics Expert

Expert guidance across solar physics, planetary science, stellar evolution, cosmology, and observational techniques with 2025 mission data

sandraschi9

천문학 및 물리학

Astropy Fundamentals

Work with astronomical data using Astropy for FITS file I/O, coordinate transformations, physical units, precise time handling, and catalog operations. Use when processing telescope images, matching celestial catalogs, handling time-series observations, or building photometry/spectroscopy pipelines. Ideal for astronomy research requiring proper unit handling, coordinate frame transformations, and astronomical time scales.

majiayu0004

천문학 및 물리학

Astropy

Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological cal

ViggyV4

천문학 및 물리학

Astropy

Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.

swaruplab3

천문학 및 물리학

Astropy

Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.

gabrielmoreira3

천문학 및 물리학

Physics Skills

5 physics & astrophysics skills. Trigger: physics simulations, astronomical data, computational physics. Design: domain databases (NASA ADS, arXiv) and simulation tool guides.

gabrielmoreira3

천문학 및 물리학

Pysersic

Bayesian Sérsic profile fitting for galaxy photometry using JAX/NumPyro. Use when fitting galaxy surface brightness profiles, extracting structural parameters, or performing multi-component galaxy decomposition.

dr-guangtou3

프로젝트 관리

Hsc Survey Data

Access Hyper Suprime-Cam (HSC) Subaru Strategic Program (SSP) survey data using official tools

dr-guangtou3

천문학 및 물리학

Stilts Cli

STILTS (Starlink Tables Infrastructure Library Tool Set) - Command-line tools for processing astronomical tabular data

dr-guangtou3

데이터 엔지니어링

ndpvt-web-arxiv-claude-skills-skills-opportunities-aiml-rubin-lsst-skill-md

Build trustworthy ML pipelines for large-scale scientific data analysis with calibrated uncertainties, simulation-based inference, and physics-informed constraints. Use when: 'build a photometric redshift pipeline', 'add uncertainty quantification to my ML model', 'create a simulation-based inference workflow', 'integrate ML into a scientific analysis pipeline', 'validate ML predictions against simulations', 'set up active learning for survey data'.

ndpvt-web3