Explore Agent Skills

Marine and ocean analysis for coastal and offshore environments. Use when analyzing ocean currents, marine ecosystems, coastal erosion, bathymetry, marine protected area planning, or fisheries management.

Logistics optimization including route planning, fleet management, delivery scheduling, and supply chain modeling. Use when optimizing delivery routes, managing fleets, analyzing supply chain resilience, or computing emissions from transportation.

IoT sensor data ingestion and real-time streaming for geospatial monitoring. Use when connecting to MQTT brokers, processing sensor streams, validating spatial sensor data quality, or building real-time geospatial monitoring pipelines.

Central documentation hub and cross-module integration guides for GEO-INFER. Use when navigating documentation, finding cross-module integration patterns, understanding data flow architecture, or locating tutorials and API references.

Spatial epidemiology and public health analysis. Use when modeling disease spread, analyzing health disparities, performing spatial health risk assessment, building epidemiological surveillance systems, or assessing healthcare accessibility.

Git-based versioning and collaboration for geospatial datasets. Use when versioning spatial data, managing geospatial dataset lineage, tracking spatial data changes, resolving merge conflicts in geospatial formats, or building reproducible analysis pipelines.

Forest analysis and forestry management. Use when analyzing forest cover change, timber inventory, deforestation detection, forest carbon stocks, wildfire risk assessment, or canopy structure analysis.

Working examples and module orchestration patterns. Use when looking for usage examples, cross-module orchestration patterns, end-to-end workflows, or reference implementations of GEO-INFER capabilities.

Energy systems analysis and renewable energy siting. Use when computing LCOE, analyzing energy grid spatial patterns, optimizing renewable energy placement, assessing energy storage, or performing techno-economic analysis of energy projects.

Emergency management and disaster response. Use when planning search and rescue, optimizing emergency resource deployment, modeling disaster scenarios, coordinating evacuation routes, or managing multi-agency response logistics.

Educational technology for geospatial learning. Use when creating spatial analysis curricula, interactive GIS exercises, learning progression models, competency assessment for geographic concepts, or step-by-step spatial tutorials.

Geospatial economics and bioregional market modeling. Use when analyzing spatial economic patterns, bioregional markets, location-based pricing, call auctions, or supply-demand modeling with geographic context.

Data connectors, ETL pipelines, and data management for geospatial datasets. Use when loading spatial data from databases, APIs, files (GeoJSON, Shapefile, GeoParquet), or building data transformation pipelines.

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.

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.

Civic engagement and participatory mapping. Use when building participatory GIS, STEW-MAP implementations, community mapping platforms, citizen science data collection, or democratic spatial planning processes.

Biodiversity analysis and ecological modeling. Use when analyzing species distributions, habitat connectivity, biodiversity indices, ecological networks, conservation planning, or ecosystem health assessment.

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.

Generative geospatial art and cartographic visualization. Use when creating artistic map visualizations, generative spatial art, interactive cartographic displays, animation sequences, or aesthetically-focused geographic rendering.

Application framework for geospatial dashboards and web interfaces. Use when building spatial dashboards, map-based UIs, agent control widgets, interactive geospatial web applications, or configuring agent parameters through forms.

REST and GraphQL API endpoints for geospatial services. Use when building API routes, defining spatial query endpoints, or exposing GEO-INFER functionality as web services.

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.

Machine learning pipelines and model selection for geospatial AI. Use when training spatial ML models, building prediction pipelines, performing feature engineering on geographic data, or selecting between ML approaches for spatial problems.