astronomy-physics
950
omero-integration
Microscopy data management platform. Access images via Python, retrieve datasets, analyze pixels, manage ROIs/annotations, batch processing, for high-content screening and microscopy workflows.
wu-yc
research
sorting
stars
current ordering strategy
query
all entries
refine the visible subset
astronomy-physics
950
geopandas
Python library for working with geospatial vector data including shapefiles, GeoJSON, and GeoPackage files. Use when working with geographic data for spatial analysis, geometric operations, coordinate transformations, spatial joins, overlay operations, choropleth mapping, or any task involving reading/writing/analyzing vector geographic data. Supports PostGIS databases, interactive maps, and integration with matplotlib/folium/cartopy. Use for tasks like buffer analysis, spatial joins between datasets, dissolving boundaries, clipping data, calculating areas/distances, reprojecting coordinate systems, creating maps, or converting between spatial file formats.
wu-yc
research
astronomy-physics
946
light-curve-preprocessing
Preprocessing and cleaning techniques for astronomical light curves. Use when preparing light curve data for period analysis, including outlier removal, trend removal, flattening, and handling data quality flags. Works with lightkurve and general time series data.
benchflow-ai
research
astronomy-physics
946
lomb-scargle-periodogram
Lomb-Scargle periodogram for finding periodic signals in unevenly sampled time series data. Use when analyzing light curves, radial velocity data, or any astronomical time series to detect periodic variations. Works for stellar rotation, pulsation, eclipsing binaries, and general periodic phenomena. Based on lightkurve library.
benchflow-ai
research
astronomy-physics
946
transit-least-squares
Transit Least Squares (TLS) algorithm for detecting exoplanet transits in light curves. Use when searching for transiting exoplanets specifically, as TLS is more sensitive than Lomb-Scargle for transit-shaped signals. Based on the transitleastsquares Python package.
benchflow-ai
research
astronomy-physics
946
box-least-squares
Box Least Squares (BLS) periodogram for detecting transiting exoplanets and eclipsing binaries. Use when searching for periodic box-shaped dips in light curves. Alternative to Transit Least Squares, available in astropy.timeseries. Based on Kovács et al. (2002).
benchflow-ai
research
astronomy-physics
946
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-ai
research
astronomy-physics
946
geospatial-analysis
Analyze geospatial data using geopandas with proper coordinate projections. Use when calculating distances between geographic features, performing spatial filtering, or working with plate boundaries and earthquake data.
benchflow-ai
research
astronomy-physics
946
matched-filtering
Matched filtering techniques for gravitational wave detection. Use when searching for signals in detector data using template waveforms, including both time-domain and frequency-domain approaches. Works with PyCBC for generating templates and performing matched filtering.
benchflow-ai
research
astronomy-physics
946
hex-grid-spatial
Hex grid spatial utilities for offset coordinate systems. Use when working with hexagonal grids, calculating distances, finding neighbors, or spatial queries on hex maps.
benchflow-ai
research
astronomy-physics
946
conditioning
Data conditioning techniques for gravitational wave detector data. Use when preprocessing raw detector strain data before matched filtering, including high-pass filtering, resampling, removing filter wraparound artifacts, and estimating power spectral density (PSD). Works with PyCBC TimeSeries data.
benchflow-ai
research
astronomy-physics
946
mesh-analysis
Analyzes 3D mesh files (STL) to calculate geometric properties (volume, components) and extract attribute data. Use this skill to process noisy 3D scan data and filter debris.
benchflow-ai
research
astronomy-physics
946
gamma-phase-associator
An overview of the python package for running the GaMMA earthquake phase association algorithm. The algorithm expects phase picks data and station data as input and produces (through unsupervised clustering) earthquake events with source information like earthquake location, origin time and magnitude. The skill explains commonly used functions and the expected input/output format.
benchflow-ai
research
astronomy-physics
946
glm-output
Read and process GLM output files. Use when you need to extract temperature data from NetCDF output, convert depth coordinates, or calculate RMSE against observations.
benchflow-ai
research
astronomy-physics
923
observation
Fetch the current world observation for this tick.
tsinghua-fib-lab
research
astronomy-physics
826
human-auth-location
Handle GPS location delegation from Human Phone. Covers coordinate injection on emulators and manual coordinate usage on real devices.
pockebot
research
astronomy-physics
755
weather-skill
A skill that provides weather information based on reference data.
go-kratos
research
astronomy-physics
664
alfworld-environment-scanner
Performs an initial scan of the ALFWorld environment to identify all visible objects and receptacles. Use when you first enter an environment and need to build a mental map for task planning. Processes raw observation text into a structured list of entities, categorizing them as objects or receptacles.
zjunlp
research
astronomy-physics
664
scienceworld-task-parser
Analyzes user instructions in ScienceWorld environments to extract specific task requirements and constraints. Use when receiving a new task to identify required objects, target locations, and action sequences before taking any environment actions.
zjunlp
research
astronomy-physics
634
database-migrations-migration-observability
Migration monitoring, CDC, and observability infrastructure
rmyndharis
research
astronomy-physics
571
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.
beita6969
research
astronomy-physics
571
astropy-astronomy
"Astronomical computations via Astropy. Use when: user asks about celestial coordinates, FITS files, or cosmological calculations. NOT for: telescope control or real-time observation planning."
beita6969
research
astronomy-physics
571
scientific-classification
Classify scientific objects, detect patterns, and categorize data across astronomy, biology, and social sciences
beita6969
research