GitHub
healthsim-trialsim
Generate realistic clinical trial synthetic data including study definitions, sites, subjects, visits, adverse events, efficacy assessments, and disposition. Use when user requests: clinical trial data, CDISC/S...
Skills IA blockchain scientific computing
Découvrez les skills blockchain scientific computing, comparez leurs dépôts et consultez leurs instructions.
Catégories: blockchain scientific computing
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Explorer
GitHub
running-clustering-algorithms
Execute clustering algorithms (K-means, DBSCAN, hierarchical) to identify data groups. Use when requesting "run clustering", "cluster analysis", or "group data points".
GitHub
splitting-datasets
Split datasets into training, validation, and testing sets for ML model development. Use when requesting "split dataset", "train-test split", or "data partitioning".
GitHub
detecting-memory-leaks
Detect potential memory leaks and analyze memory usage patterns in code. Use when troubleshooting performance issues related to memory growth or identifying leak sources. Trigger with phrases like "detect memor...
GitHub
berdl
Query the KBase BERDL (BER Data Lakehouse) pangenome database. Use when the user asks to explore pangenome data, query species information, get genome statistics, analyze gene clusters, or access functional ann...
GitHub
orcaflex-batch-manager
Manage large-scale OrcaFlex batch processing with parallel execution, adaptive worker scaling, memory optimization, and progress tracking for efficient simulation campaigns.
GitHub
gmsh-meshing
Specialized AI agent for finite element mesh generation and manipulation using GMSH. Use for 1D/2D/3D mesh generation, geometry processing, quality assessment, optimization, and integration with OrcaFlex, ANSYS...
GitHub
orcaflex-results-comparison
Compare results across multiple OrcaFlex simulations for design verification, sensitivity studies, and configuration comparison. Includes pretension, stiffness, and force distribution analysis.
GitHub
orcawave-aqwa-benchmark
Cross-validation specialist for comparing OrcaWave and AQWA diffraction analysis results. Provides statistical comparison, peak value validation, and automated benchmark reporting for hydrodynamic coefficient v...
GitHub
orcaflex-post-processing
Post-process OrcaFlex simulation results using OPP (OrcaFlex Post-Process). Use for extracting summary statistics, linked statistics, range graphs, time series, histograms, and generating interactive HTML repor...
GitHub
orcaflex-visualization
Generate visualizations from OrcaFlex simulations including model views, time series plots, range graphs, and interactive HTML reports using Plotly for comprehensive analysis presentation.
GitHub
signal-analysis
Perform signal processing, rainflow cycle counting, and spectral analysis for fatigue and time series data. Use for analyzing stress time histories, computing FFT/PSD, extracting fatigue cycles (ASTM E1049-85),...
GitHub
orcaflex-file-conversion
Convert OrcaFlex files between formats (.dat, .yml, .sim) for digital analysis and automation. Supports bidirectional conversion, batch processing, and format standardization.
GitHub
particles-physics
Physics simulation for particle systems—forces (gravity, wind, drag), attractors/repulsors, velocity fields, turbulence, and collision. Use when particles need realistic or artistic motion, swarm behavior, or f...
GitHub
genetics-and-genomics-expert
Modern genetics expert covering Mendelian genetics, molecular genetics, genomics, and CRISPR technologies
GitHub
ecology-and-evolution-specialist
Expert in evolutionary biology, ecological systems, biodiversity, and conservation
GitHub
numerical-methods-expert
Computational mathematics expert for numerical solutions, approximations, error analysis, and scientific computing
GitHub
geology-and-earth-science-expert
Earth science expert covering plate tectonics, mineralogy, geological history, and environmental geology
GitHub
oceanography-specialist
Ocean science expert covering physical, chemical, biological, and geological oceanography
GitHub
researching-stocks
Workflow for multi-step financial research requiring multiple data sources. Use for company comparisons, due diligence, comprehensive analysis, or complex financial questions.
GitHub
nixtla-experiment-architect
Generate production-ready forecasting experiments with StatsForecast and TimeGPT. Use when setting up model benchmarking or cross-validation. Trigger with 'scaffold experiment' or 'compare models'.
GitHub
nixtla-timegpt-lab
Provides expert Nixtla forecasting using TimeGPT, StatsForecast, and MLForecast. Generates time series forecasts, analyzes trends, compares models, performs cross-validation, and recommends best practices. Acti...
GitHub
nixtla-event-impact-modeler
Analyze causal impact of events on time series forecasts using TimeGPT. Use when quantifying promotion or disaster effects. Trigger with 'event impact analysis' or 'causal analysis'.
GitHub
nixtla-anomaly-detector
Detects anomalies in time series data using TimeGPT. Identifies outliers, level shifts, and trend breaks without model training. Use when identifying anomalies, outliers, or unusual patterns in time series. Tri...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.