Explore skills

ClaudeSkillz: For when you need skills, but lazier

ClaudeSkillz: For when you need skills, but lazier

ClaudeSkillz: For when you need skills, but lazier

ClaudeSkillz: For when you need skills, but lazier

Validate, format, and work with JSON configuration files

ClaudeSkillz: For when you need skills, but lazier

Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.

High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.

ClaudeSkillz: For when you need skills, but lazier

Graph Neural Networks (PyG). Node/graph classification, link prediction, GCN, GAT, GraphSAGE, heterogeneous graphs, molecular property prediction, for geometric deep learning.

ClaudeSkillz: For when you need skills, but lazier

ClaudeSkillz: For when you need skills, but lazier