astronomy-physics
9
scientific-calculator
Expert in scientific computation. Use for complex floating-point math, orbital mechanics, and physics equations to avoid hallucination. Supports variable assignment and stateful memory.
BrianV1981
research
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astronomy-physics
9
geo-infer
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).
ActiveInferenceInstitute
research
astronomy-physics
9
geo-infer-time
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.
ActiveInferenceInstitute
research
astronomy-physics
9
solve-trigonometric-problem
三角関数の方程式と不等式を系統的に解き、三角形の辺と角を求める。正弦定理・ 余弦定理の適用、三角関数の恒等式の活用、一般解の導出、および実世界の 測量・ナビゲーション問題への応用を含む。
pjt222
research
astronomy-physics
9
geo-infer-space
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).
ActiveInferenceInstitute
research
astronomy-physics
9
geo-infer-spm
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.
ActiveInferenceInstitute
research
astronomy-physics
9
geo-infer-sec
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.
ActiveInferenceInstitute
research
astronomy-physics
9
weather-forecast
Get weather forecasts - temperature, precipitation, wind, and conditions
orthogonal-sh
research
astronomy-physics
9
geo-infer-org
Organizational modeling for geospatial entities. Use when modeling organizational structures, spatial resource allocation, inter-organizational network analysis, or institutional spatial analysis for governance.
ActiveInferenceInstitute
research
astronomy-physics
9
geo-infer-ops
Operations, monitoring, and observability for geospatial infrastructure. Use when setting up monitoring dashboards, configuring alerts, tracking system health, or managing deployment of spatial services.
ActiveInferenceInstitute
research
astronomy-physics
9
geo-infer-math
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.
ActiveInferenceInstitute
research
astronomy-physics
9
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.
ActiveInferenceInstitute
research
astronomy-physics
9
geo-infer-cog
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.
ActiveInferenceInstitute
research
astronomy-physics
9
investigate
Investigate a Starfield form or record type to understand its structure
kaosnyrb
research
astronomy-physics
9
geo-infer-climate
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.
ActiveInferenceInstitute
research
astronomy-physics
9
geo-infer-bayes
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.
ActiveInferenceInstitute
research
astronomy-physics
9
geo-infer-ant
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.
ActiveInferenceInstitute
research
astronomy-physics
9
geo-infer-act
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.
ActiveInferenceInstitute
research
astronomy-physics
9
bluesky-instructions
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.
bdambrosio
research
astronomy-physics
9
geopandas
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.
tondevrel
research
astronomy-physics
9
astropy
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.
tondevrel
research
astronomy-physics
9
suggest-missions
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.
aetrigg
research
lab-tools
9
survey-insect-population
Design and execute insect population surveys covering survey design, sampling methods, field execution, specimen identification, diversity index calculation including Shannon-Wiener and Simpson indices, statistical analysis, and reporting. Covers defining survey objectives, selecting study sites, determining sampling intensity and replication, choosing sampling methods appropriate to target taxa, standardizing collection effort, recording environmental covariates, identifying specimens to the lowest practical taxonomic level, calculating species richness, Shannon-Wiener diversity (H'), Simpson diversity (1-D), evenness, rarefaction curves, multivariate ordination, and producing survey reports with species lists and conservation implications. Use when conducting baseline biodiversity assessments, monitoring insect populations over time, comparing insect communities across habitats or treatments, assessing environmental impact, or supporting conservation planning with quantitative ecological data.
pjt222
research