geo-infer-comms
Communication systems for geospatial coordination. Use when implementing spatial messaging, multi-channel notifications (email/SMS/push), event streaming, spatial message routing, or subscriber management for geographic broadcasts.
Communication systems for geospatial coordination. Use when implementing spatial messaging, multi-channel notifications (email/SMS/push), event streaming, spatial message routing, or subscriber management for geographic broadcasts.
Cognitive modeling for geospatial agents including attention, memory, and trust. Use when implementing spatial attention mechanisms, working memory for geographic contexts, or trust dynamics in multi-agent geospatial systems.
Investigate a Starfield form or record type to understand its structure
Climate modeling and environmental analysis. Use when analyzing climate data, projecting future climate scenarios (RCP/SSP), computing climate indices (SPI, PDSI), performing statistical downscaling, or assessing climate change impacts on geographic regions.
Bayesian inference and probabilistic modeling for geospatial data. Use when building hierarchical models, computing posteriors with PyMC or TFP, performing variational inference, model comparison (LOO/WAIC/DIC), or spatial Gaussian processes.
Ant Colony Optimization and swarm intelligence for geospatial problems. Use when solving spatial optimization with ACO, PSO, ABC algorithms, implementing stigmergic coordination, or optimizing geographic routing and resource allocation with bio-inspired methods.
Active Inference implementation for geospatial agents. Use when implementing free energy minimization, belief updating, perception-action loops, generative models, or expected free energy computation for spatial decision-making.
Returns API instructions (not data) for retrieving Bluesky metrics via AT Protocol. Read the returned instructions, then use fetch-text + extract to get actual data.
Open source project to make working with geospatial data in python easier. Extends the datatypes used by pandas to allow spatial operations on geometric types. Built on top of Shapely, Fiona, and Pyproj. Use for reading and writing spatial formats (Shapefile, GeoJSON, GeoPackage, KML), performing spatial joins, coordinate system transformations (reprojecting), geometric analysis (buffers, centroids, convex hulls), thematic mapping (Choropleth maps), calculating spatial relationships (contains, overlaps, touches, within), working with OpenStreetMap data or satellite-derived vector data.
The core library for Astronomy and Astrophysics in Python. Provides data structures for coordinates, time, units, FITS files, and cosmological models. Essential for observational data reduction and theoretical astrophysics. Use when working with astronomical coordinates (RA/Dec), physical units, FITS files, time scales, WCS, cosmology, or astronomical tables.
Analyzes logged signals from Digital Hobonichi daily notes over a specified time period and suggests missions to create based on patterns, recurring themes, and priorities.
Expert skill for generating the LORS Ecosystem Mapping Document, profiling lunar projects and delivery providers.
Specialized skill for tracking lunar mission timelines, manifests, and mission status within the LORS framework.
Fourier analysis specialist covering series, transforms, signal processing, and harmonic analysis
Primary entry point for the Lunar Open-source Rover Standard (LORS). Use this to find specialized information about rovers, landers, missions, and companies.
Specialized skill for analyzing lunar rover technical specifications and mobility systems within the LORS framework.
Expert guidance across solar physics, planetary science, stellar evolution, cosmology, and observational techniques with 2025 mission data
Use Land and Spatial Board geospatial open data services for maps, cadaster/cadastral parcels, and address-linked analysis in Estonia.
Query Estonian Weather Service XML feeds for forecast and observation data usable in time-series and impact analysis.
Use Estonian Environmental Portal datasets and services for air, water, nature, and environmental indicator analysis.
地理空間データ処理のベストプラクティス。GeoJSON、座標系変換、Turf.js、GDAL、地図表示(react-native-maps、maplibre-gl)、PMTilesについて。地理空間データやGeoJSONの処理について質問があるときに使用。
Busca passagens aereas reais via Google Flights (fast-flights). Retorna tabela com cia, horarios, duracao e precos em BRL. Use when searching for flights, airfare, or travel options.