DICOM files contain complex image data and medical metadata that are hard to inspect safely. This skill guides Claude, Codex, and Claude Code through pydicom workflows for reading, converting, anonymizing, and extracting DICOM data.

Bulk RNA-seq differential expression requires careful count preparation, design selection, and result interpretation. This skill guides PyDESeq2 workflows from input checks to tested genes, plots, and saved results.

Reinforcement learning experiments slow down when environments and training loops cannot scale. PufferLib helps Claude, Codex, and Claude Code design faster vectorized training workflows.

Computational pathology work needs careful choices for image loading, preprocessing, storage, and model workflows. This skill gives Claude, Codex, and Claude Code PathML guidance for whole-slide image analysis and multiplex imaging tasks.

Graph projects need clear methods for building and analyzing relationships. This skill guides NetworkX workflows for algorithms, formats, and visual outputs.

Molecular ML projects need consistent features from SMILES and RDKit molecules. This skill guides molfeat choices, batch featurization, pretrained embeddings, caching, and QSAR workflows.

Scientific teams need reliable help creating MATLAB and GNU Octave workflows. This skill provides focused guidance for analysis, visualization, compatibility, and script execution.

Metabolomics teams need reliable ways to clean spectra and compare unknown compounds against libraries. This skill guides Claude, Codex, and Claude Code through matchms workflows for filtering, similarity scoring, and compound identification.

Biology teams need reproducible data systems that connect datasets, metadata, workflows, and ontology terms. This skill guides LaminDB setup, curation, querying, lineage tracking, and integrations.

Whole slide images are large and hard to prepare for tile analysis. This skill guides histolab workflows for masks, tiling, filters, and visual review.

Scientific workloads can fail when hardware limits are unknown. This skill detects local resources and recommends practical compute strategies before work starts.

Genomics teams need reliable guidance for DNAnexus apps, data, and workflow execution. This skill organizes platform patterns for Claude, Codex, and Claude Code.

NGS analysis often requires careful command selection, normalization, and file validation. This skill helps users build deepTools workflows for coverage, QC, comparison, and visualization.

Molecular machine learning often requires specialized featurizers, datasets, and evaluation methods. This skill helps Claude, Codex, and Claude Code design DeepChem workflows for property prediction, transfer learning, and benchmarks.

Cancer researchers need trusted mutation data without hunting through many files. This skill explains COSMIC datasets, file paths, downloads, and analysis patterns for Claude, Codex, and Claude Code.

Systems biology teams need reliable guidance for COBRApy analyses, from model loading to flux studies. This skill provides focused workflows and API patterns for Claude, Codex, and Claude Code.

Drug discovery teams need reliable access to compound, target, and bioactivity records. This skill guides Claude, Codex, and Claude Code through ChEMBL searches, filters, and analysis workflows.

Single-cell Census queries can be hard to scope, filter, and load efficiently. This skill guides Claude, Codex, and Claude Code through reliable CELLxGENE Census workflows.

Enzyme research often requires structured access to kinetic and organism-specific data. This skill helps Claude, Codex, and Claude Code query BRENDA records and turn them into usable biochemical analysis.

Bioinformatics work often requires accurate parsing, database access, and reproducible analysis steps. This skill guides Claude, Codex, and Claude Code through practical Biopython workflows for molecular biology data.