Explore Agent Skills

Geospatial Active Inference framework with 44 modules for ecological, civic, and commercial spatial analysis. Use when working with geospatial data, Active Inference, Bayesian modeling, H3 hexagonal indexing, spatial statistics, or any domain-specific geographic analysis (agriculture, health, economics, risk, climate, energy, transport, marine, forestry, water).

Water resource management and hydrological modeling. Use when analyzing watersheds, water quality, hydrological networks, groundwater systems, water supply/demand planning, or flood risk assessment.

Transportation network analysis and traffic modeling. Use when analyzing road networks, simulating traffic (BPR model), forecasting traffic (EWMA), computing emissions, or optimizing transport routes.

Time series analysis and temporal modeling for geospatial data. Use when analyzing temporal patterns, forecasting spatial time series, detecting change points, or working with spatio-temporal datasets.

Unified test runner and testing infrastructure for the GEO-INFER ecosystem. Use when running cross-module tests, configuring test categories, setting up test fixtures for spatial data, or analyzing test results.

Statistical Parametric Mapping for geospatial data. Use when performing GLM-based spatial analysis, random field theory corrections, cluster-level inference, or neuroimaging-style statistical mapping on geographic datasets.

H3 hexagonal spatial indexing and multi-backend spatial operations. Use when working with H3 cells, spatial indexing, coordinate systems, raster/vector operations, or any spatial backend dispatch (H3, SRAI, PostGIS).

Agent-based simulation for geospatial environments. Use when building spatial simulations, modeling agent interactions in geographic space, running Monte Carlo spatial experiments, or comparing spatial planning scenarios.

Security and threat detection for geospatial systems. Use when implementing spatial access control, anomaly detection on access patterns, geospatial threat assessment, security auditing, or spatial data anonymization.

Geospatial risk modeling including catastrophe models, exposure analysis, and underwriting. Use when assessing spatial risk, building catastrophe models, analyzing exposure/hazard/vulnerability, or computing portfolio risk metrics.

Requirements engineering and traceability for geospatial projects. Use when managing spatial project requirements, building traceability matrices, implementing P3IF frameworks (Purpose, People, Process, Infrastructure, Finance), or tracking requirement coverage and verification.

Place-based analysis with H3 hexagonal indexing. Use when performing place identification, catchment area analysis, county/region geometry loading, or H3-based place-shedding and geographic boundary operations.

Public engagement platform for geospatial projects. Use when building CRM for spatial stakeholders, managing public consultations, tracking community engagement with geographic planning, or running participation analytics.

Organizational modeling for geospatial entities. Use when modeling organizational structures, spatial resource allocation, inter-organizational network analysis, or institutional spatial analysis for governance.

Operations, monitoring, and observability for geospatial infrastructure. Use when setting up monitoring dashboards, configuring alerts, tracking system health, or managing deployment of spatial services.

Normative inference and compliance tracking for geospatial governance. Use when evaluating spatial policy compliance, tracking governance metrics, computing normative content influence (Jaccard similarity), or managing multi-criteria regulatory frameworks.

Meta-governance frameworks for geospatial decision-making. Use when implementing polycentric governance, multi-level institutional analysis, stakeholder engagement, conflict resolution, or adaptive governance scenarios for spatial resource management.

Spatial statistics, topology, and graph theory for geospatial analysis. Use when computing Moran's I, spatial autocorrelation, geodesic distances, graph connectivity, kernel density estimation, or any mathematical operation on geographic data.

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.