orcawave-analysis-standard-analysis
Sub-skill of orcawave-analysis: Standard Analysis (+1).
Sub-skill of orcawave-analysis: Standard Analysis (+1).
Sub-skill of orcawave-analysis: Swarm Coordination (+2).
Sub-skill of orcawave-analysis: Version Metadata.
Sub-skill of orcawave-damping-sweep: Typical Values by Vessel Type (+1).
Fetch real-time and historical metocean data from NDBC, CO-OPS, Open-Meteo, ERDDAP, and MET Norway. Use for buoy data retrieval, tidal observations, marine forecasts, and multi-source data fusion.
Ocean wave theory including wave spectra, statistics, irregular seas, and wave transformation for offshore engineering
Create and use Kibana Maps for geospatial data
Use when working with coordinate reference systems, EPSG codes, datum mismatches, reprojection choices, projected versus geographic CRS, unit confusion, or map alignment problems in geospatial data.
Use when inspecting a new geospatial dataset for the first time, including GeoJSON, Shapefile, GeoPackage, raster, CSV with coordinates, or mixed geo data. Helpful for schema review, CRS detection, geometry summary, dataset extent, and first-pass analysis planning.
Use when performing quality assurance or quality control on geo data before analysis, sharing, or publishing. Covers vector validity, attribute consistency, raster sanity checks, completeness, and basic geospatial data fitness review.
Use when working with geospatial data in Snowflake, including GEOGRAPHY columns, WKT or GeoJSON loading, spatial joins, ST_INTERSECTS or ST_DISTANCE queries, geohash workflows, and performance-aware SQL design for geo analytics in Snowflake.
Sub-skill of orcawave-analysis: DiffractionSpec Conventions (spec.yml to OrcaWave).
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. Automatically detects file type and generates detailed markdown reports with format-specific analysis, quality metrics, and downstream analysis recommendations. Covers chemistry, bioinformatics, microscopy, spectroscopy, proteomics, metabolomics, and general scientific data formats.
Flight tracking and scheduling. Track live flights in real-time by region, callsign, or airport using OpenSky Network. Search flight schedules between airports. Use for queries like "What flights are over Switzerland?" or "When do flights from Hamburg arrive in Zurich?" or "Track flight SWR123".
Schweizer Geodaten, POIs und Tourismus. Orte/Adressen suchen, Höhen abfragen, städtische POIs finden (Restaurants, Cafés, Sehenswürdigkeiten via OpenStreetMap), ÖV-Fahrplan, Kartenlinks. Nutze bei Fragen zu Schweizer Orten, Attraktionen, Ausflügen oder Koordinaten.
Get current weather and forecasts from MeteoSwiss (official Swiss weather service). Use when querying Swiss weather data, local measurements from Swiss weather stations, or Swiss-specific forecasts. Provides real-time measurements (temperature, humidity, wind, precipitation, pressure) from 100+ Swiss stations and multi-day forecasts by postal code. Ideal for Swiss locations - more accurate than generic weather services for Switzerland.
API documentation and reference provider for Astro/Starlight. Provides on-demand documentation lookup, API verification, and feature availability checks.
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.
Microscopy data management platform. Access images via Python, retrieve datasets, analyze pixels, manage ROIs/annotations, batch processing, for high-content screening and microscopy workflows.
Gather information on network topology, landing zones, existing resources, and connectivity
Execute wave-function collapse operations for hyperdimensional state space navigation in PMOVES. This skill should be used when performing quantum-inspired pathfinding, state collapse operations, or wave-function navigation.