oc-aviation-weather
Fetch aviation weather data (METAR, TAF, PIREPs)
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Fetch aviation weather data (METAR, TAF, PIREPs)
Query weather data and forecasts for farm fields via the Agronomy module.
Expert-level photonics covering guided wave optics, laser physics, nonlinear optics, optical communications, integrated photonics, and quantum photonics.
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.
Comprehensive geospatial science skill covering remote sensing, GIS, spatial analysis, machine learning for earth observation, and 30+ scientific domains. Supports satellite imagery processing (Sentinel, Landsat, MODIS, SAR, hyperspectral), vector and raster data operations, spatial statistics, point cloud processing, network analysis, cloud-native workflows (STAC, COG, Planetary Computer), and 8 programming languages (Python, R, Julia, JavaScript, C++, Java, Go, Rust) with 500+ code examples. Use for remote sensing workflows, GIS analysis, spatial ML, Earth observation data processing, terrain analysis, hydrological modeling, marine spatial analysis, atmospheric science, and any geospatial computation task.
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.
Advanced weather from free OpenMeteo API: historical data, detailed variable selection, model choice, past-days.
Distributed SETI scanner - contribute compute power to analyze real radio telescope data from Breakthrough Listen.
Microscopy data management platform. Access images via Python, retrieve datasets, analyze pixels, manage ROIs/annotations, batch processing, for high-content screening and microscopy workflows.
Inspect observation space and inventory encoding.
Consolidates impression files by applying weight decay, removing redundant entries, and enforcing per-user limits. Maintains relationship file summaries.
Form infrastructure for Astro projects. Contact forms, booking forms, quote requests. Zod validation, email delivery (Resend/Brevo), rate limiting, Google Sheets, postcode lookup, spam protection.
Get current weather and forecasts via wttr.in or Open-Meteo.
Zero-setup datetime resolution, timezone conversion, and DST-aware math.
OpenWeatherMap — get current weather, forecasts, air quality, and historical weather data for any location. Supports geocoding and multiple weather data types via `robomotion openweather`. Do NOT use for AccuWeather or other weather services.
Expert-level astrophysics covering stellar physics, galaxy formation, high-energy astrophysics, observational techniques, and the electromagnetic spectrum across wavelengths.
Store and retrieve files via AIFS.space cloud storage API.
Expert-level Astro framework. Use when building Astro sites, working with islands architecture, content collections, SSR adapters, or ViewTransitions.
Use this skill when calculating Q-alpha values from measured alpha energies and updating the Q field (cols 65-74) and DQ field (cols 75-76) in ENSDF P records. Uses exact kinematic formula Q = E_alpha * A/(A-4). Applies to single files or chains of alpha-decay datasets.