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documentation scientific computing AI 技能

发现 documentation scientific computing 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。

分类目录: documentation scientific computing

显示第 505–528 个,共 926 个

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GitHub

berdl

kbaseincubator

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

vamseeachanta

Manage large-scale OrcaFlex batch processing with parallel execution, adaptive worker scaling, memory optimization, and progress tracking for efficient simulation campaigns.

GitHub

gmsh-meshing

vamseeachanta

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

vamseeachanta

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

vamseeachanta

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

vamseeachanta

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

vamseeachanta

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

vamseeachanta

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

vamseeachanta

Convert OrcaFlex files between formats (.dat, .yml, .sim) for digital analysis and automation. Supports bidirectional conversion, batch processing, and format standardization.

GitHub

particles-physics

Bbeierle12

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

researching-stocks

cv

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

intent-solutions-io

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

intent-solutions-io

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

intent-solutions-io

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

intent-solutions-io

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...

GitHub

nixtla-anomaly-detector

intent-solutions-io

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...

GitHub

nixtla-event-impact-modeler

intent-solutions-io

Quantifies the impact of exogenous events on contract prices using TimeGPT and CausalImpact. Triggers on "event impact analysis", "model event effects", "quantify event impact", or "causal analysis".

GitHub

nixtla-research-assistant

intent-solutions-io

Research and summarize Nixtla ecosystem updates and time-series forecasting content from the web and GitHub. Use when gathering release notes, recent changes, or best-practice references. Trigger with "Nixtla u...

GitHub

julia-development

seabbs

Expert guidance for Julia package development following SciML standards, Distributions.jl patterns, and Julia ecosystem best practices

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