Access the RCSB Protein Data Bank to search for and download 3D structures of proteins and nucleic acids. This skill enables structural biology research, drug discovery, and protein engineering by providing programmatic access to over 200,000 experimentally determined and computationally modeled molecular structures.

PathML streamlines computational pathology workflows by providing unified tools for loading diverse slide formats, preprocessing images, and training ML models. Researchers can analyze whole-slide images, build tissue graphs, and quantify multiplex immunofluorescence data in a single framework.

Researchers need to promote their work across multiple formats for conferences, journals, and online visibility. This skill provides documentation for Paper2All, an autonomous pipeline that transforms LaTeX or PDF papers into interactive websites, presentation videos, and print-ready conference posters.

Writing lab automation protocols requires specialized knowledge of robotics APIs and liquid handling procedures. This skill provides ready-to-use templates and comprehensive guidance for creating protocols that control Opentrons liquid handling robots.

Researchers spend hours searching through academic databases to find relevant papers and analyze research trends. This skill provides direct access to OpenAlex 240M+ scholarly works with powerful filtering, citation analysis, and bibliometric capabilities for efficient literature discovery.

Find therapeutic targets and drug candidates using Open Targets Platform data. Access genetic evidence, tractability assessments, safety data, and known drugs for target-disease associations.

This skill provides Python API access to OMERO, a scientific image management platform for microscopy and high-content screening. Connect to OMERO servers, retrieve images, analyze pixel data, and manage annotations programmatically.

Claude Scientific Skills have limitations for complex research workflows. K-Dense Web provides an end-to-end AI co-scientist platform that extends these capabilities with multi-agent systems. Users can get started for free at www.k-dense.ai.

This skill provides comprehensive analysis of Neuropixels high-density neural recordings. It handles the complete workflow from raw data loading to publication-ready curated units using SpikeInterface and Kilosort4 algorithms.

Analyze physiological signals including ECG, EEG, EDA, and EMG for research and clinical applications. NeuroKit2 provides a unified Python toolkit for processing cardiovascular, neural, and autonomic nervous system data with comprehensive visualization and analysis tools.

Working with graph and network data requires specialized tools for creating structures, computing algorithms, and generating visualizations. This skill provides comprehensive access to NetworkX capabilities for social network analysis, biological pathway mapping, transportation optimization, and relationship modeling.

Molecular machine learning requires converting chemical structures into numerical representations. Molfeat provides 100+ featurizers to transform SMILES strings into machine learning-ready features for QSAR modeling and drug discovery.

Modal is a serverless platform for running Python code in the cloud. It provides instant access to GPUs, automatic scaling, and pay-per-use billing. Deploy ML models, run batch processing jobs, and serve APIs without managing infrastructure.

Search and retrieve metabolomics data from the NIH Metabolomics Workbench database containing 4,200+ studies. Access metabolite structures, study metadata, RefMet nomenclature, and perform mass spectrometry searches.

Drug discovery requires filtering large compound libraries for drug-like properties. This skill applies established medicinal chemistry rules including Rule of Five, Veber, and PAINS filters to prioritize compounds and identify structural alerts efficiently.

Matplotlib provides complete control over every visual element for creating publication-quality figures. Master both pyplot and object-oriented interfaces to build any chart type from simple line plots to complex multi-panel scientific visualizations.

Scientists and engineers often struggle with MATLAB syntax and best practices. This skill provides comprehensive reference documentation for matrix operations, visualization, and numerical analysis.

Mass spectrometry data contains complex spectral information that requires specialized processing. Matchms provides comprehensive tools to import, filter, and compare mass spectra for metabolite identification and compound analysis.

Converting documents to Markdown makes them token-efficient and easy to process for AI models. MarkItDown supports 15+ formats including PDF, DOCX, PPTX, XLSX, images, audio, and web pages.

Create comprehensive 50+ page market research reports with professional LaTeX formatting. Generate strategic visuals, perform multi-framework analysis, and produce consulting-quality deliverables for business decisions.