Use when working with pandas DataFrames, data cleaning, aggregation, merging, or time series analysis. Invoke for data manipulation, missing value handling, groupby operations, or performance optimization.
Use when working with pandas DataFrames, data cleaning, aggregation, merging, or time series analysis. Invoke for data manipulation, missing value handling, groupby operations, or performance optimization.
Creates realistic cloud effects for web using SVG filters (feTurbulence, feDisplacementMap), CSS animations, and layering techniques. Use for atmospheric backgrounds, weather effects, skyboxes,...
Google quantum computing framework. Use when targeting Google Quantum AI hardware, designing noise-aware circuits, or running quantum characterization experiments. Best for Google hardware, noise...
Practical patterns for composing functions in TypeScript using pipe, flow, and functional design principles
Create D3.js charts and interactive data visualizations. Use when building bar charts, line charts, scatter plots, pie charts, force-directed graphs, geographic maps, or any custom data visualization.
Computational geometry with Shapely - create geometries, boolean operations, measurements, predicates
Computational geometry with Shapely - create geometries, boolean operations, measurements, predicates
Graph Neural Networks (PyG). Node/graph classification, link prediction, GCN, GAT, GraphSAGE, heterogeneous graphs, molecular property prediction, for geometric deep learning.
Graph Neural Networks (PyG). Node/graph classification, link prediction, GCN, GAT, GraphSAGE, heterogeneous graphs, molecular property prediction, for geometric deep learning.
Expert in data pipelines, ETL processes, and data infrastructure
Expert in web animations, transitions, and motion design using Framer Motion and CSS
Graph Neural Networks (PyG). Node/graph classification, link prediction, GCN, GAT, GraphSAGE, heterogeneous graphs, molecular property prediction, for geometric deep learning.
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Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model...
Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model...
Expert guidelines for building performant animations with Framer Motion/Motion library in React applications
Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for...
Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for...
Cloud-native infrastructure management with Crossplane using Kubernetes APIs. Build internal platform APIs for self-service infrastructure provisioning. Use when implementing infrastructure as...