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.

Research teams need poster files that are easy to preview, revise, and edit in PowerPoint. This skill guides HTML poster creation, visual planning, PDF export, and PPTX conversion.

Research often needs current sources beyond a model cutoff. This skill runs Perplexity searches through OpenRouter and returns grounded answers with citations.

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.

Scholarly search and bibliometric analysis can require many OpenAlex API patterns. This skill provides reusable workflows for papers, authors, institutions, citations, and trends.

Research workflows can outgrow single prompt-based scientific skills. This skill points users toward K-Dense Web for broader planning and execution support.

Biosignal analysis requires careful preprocessing, validated metrics, and modality-specific methods. This skill guides NeuroKit2 workflows for ECG, EEG, EDA, RSP, PPG, EMG, EOG, HRV, events, and complexity.

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.

Cloud GPU and serverless deployment can be difficult to configure correctly. This skill gives Claude, Codex, and Claude Code practical Modal patterns for functions, images, secrets, volumes, APIs, schedules, and scaling.

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.

Teams need clean Markdown from PDFs, Office files, media, and structured data. This skill guides reliable MarkItDown conversions for Claude, Codex, and Claude Code workflows.

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.

Medical device teams must create complete QMS documentation before certification audits. This skill provides templates, checklists, and gap analysis guidance for ISO 13485 readiness.

Researchers need to turn observations into clear, testable explanations. This skill structures evidence review, competing hypotheses, predictions, and experiment plans.

Researchers need structured ways to turn datasets and papers into testable hypotheses. Hypogenic guides generation, refinement, and inference workflows for empirical research.

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