Use when you have implemented an equivariant model and need to verify it correctly respects the intended symmetries. Invoke when user mentions testing model equivariance, debugging symmetry bugs,...

Master Node.js streams for memory-efficient processing of large datasets, real-time data handling, and building data pipelines

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Provides motion design guidance for UI components. Triggers on animation requests ("animate this", "add transition", "motion for"), refinement requests ("clean up this animation", "clean up the...

UnoCSS instant atomic CSS engine, superset of Tailwind CSS. Use when configuring UnoCSS, writing utility rules, shortcuts, or working with presets like Wind, Icons, Attributify.

Expert C4 Code-level documentation specialist. Analyzes code

Expert C4 Code-level documentation specialist. Analyzes code

Expert C4 Code-level documentation specialist. Analyzes code

Expert C4 Code-level documentation specialist. Analyzes code

Build real-time collaborative editing with WebSockets, OT/CRDT conflict resolution, and presence awareness. Implements cursor tracking, optimistic updates, and offline sync. Use for collaborative...

react-three-game, a JSON-first 3D game engine built on React Three Fiber, WebGPU, and Rapier Physics.

Molecular machine learning toolkit. Property prediction (ADMET, toxicity), GNNs (GCN, MPNN), MoleculeNet benchmarks, pretrained models, featurization, for drug discovery ML.

Molecular machine learning toolkit. Property prediction (ADMET, toxicity), GNNs (GCN, MPNN), MoleculeNet benchmarks, pretrained models, featurization, for drug discovery ML.

Create C-suite and VP level resumes emphasizing strategic leadership

Molecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with traditional ML or GNNs when you want extensive featurization options and...

UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.

UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.