Discover Agent Skills for data science & ml. Browse 61skills for Claude, ChatGPT & Codex.
Manipulates, analyzes, and visualizes phylogenetic and hierarchical trees for genomic research and evolutionary biology.
Access and analyze comprehensive FDA regulatory data, including drug safety, medical device clearances, and food recalls through the openFDA API.
Streamlines access to over 40 bioinformatics web services and databases for biological data retrieval and cross-database analysis.
Accesses the Human Metabolome Database (HMDB) to retrieve comprehensive data on small molecule metabolites, clinical biomarkers, and biochemical pathways.
Integrates the world's most comprehensive cancer mutation database into your research workflow to query somatic mutations, signatures, and gene census data.
Analyzes protein-protein interaction networks and performs functional enrichment using the STRING database's 20 billion interactions.
Builds and deploys serverless bioinformatics pipelines using the Latch SDK and cloud infrastructure.
Evaluates the rigor, methodology, and statistical validity of scientific research using established frameworks like GRADE and Cochrane.
Accesses and analyzes over 61 million standardized single-cell genomics records from the CZ CELLxGENE Census.
Accesses the NIH Metabolomics Workbench to query over 4,200 studies, standardize metabolite nomenclature, and perform mass spectrometry searches.
Generates professional, publication-ready clinical decision support documents and biomarker-stratified cohort analyses for pharmaceutical and clinical research.
Generates comprehensive, consultant-grade market research reports with professional LaTeX formatting and integrated strategic visualizations.
Generates publication-ready scientific diagrams and architectures with automated quality review and iterative refinement.
Runs Python code in the cloud with serverless containers, autoscaling GPUs, and minimal infrastructure management.
Queries the NHGRI-EBI GWAS Catalog to retrieve genetic variant associations, study metadata, and genomic summary statistics.
Performs comprehensive single-cell RNA-seq analysis workflows including quality control, normalization, clustering, and cell-type annotation.
Streamlines high-throughput sequencing data analysis by providing tools for BAM processing, quality control, and publication-quality genomic visualizations.
Access and retrieve comprehensive nucleotide sequence data and metadata from the European Nucleotide Archive (ENA) for bioinformatics pipelines.
Queries clinical pharmacogenomics data to provide insights into gene-drug interactions, CPIC guidelines, and genetic variants for precision medicine.
Formulates testable, evidence-based scientific hypotheses and experimental designs from observations or literature synthesis.
Accesses AI-ready Therapeutics Data Commons (TDC) datasets and benchmarks for drug discovery and pharmaceutical machine learning.
Facilitates automated protein testing and validation through the Adaptyv cloud laboratory platform.
Integrates NCBI Gene data access into Claude for querying sequences, functional annotations, and genomic metadata.
Develops and trains Graph Neural Networks (GNNs) for node classification, link prediction, and geometric deep learning tasks.
Builds, optimizes, and executes quantum circuits and algorithms on simulators or real hardware using the Qiskit framework.
Processes and analyzes mass spectrometry data using the Matchms library for spectral similarity and metadata harmonization.
Parses and manipulates Flow Cytometry Standard (FCS) files, converting biological data into NumPy arrays and CSV formats for scientific analysis.
Processes and analyzes high-performance genomic interval data for computational biology and machine learning applications.
Performs advanced molecular analysis, manipulation, and chemical informatics tasks using the RDKit toolkit.
Simulates high-performance computational fluid dynamics using pseudospectral methods and Python-based analysis.
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