Discover Agent Skills for data science & ml. Browse 53skills for Claude, ChatGPT & Codex.
Facilitates programmatic access to the ClinicalTrials.gov API v2 for advanced trial discovery, patient matching, and medical research data extraction.
Automates electronic lab notebook workflows by providing programmatic access to LabArchives for research data management and documentation.
Facilitates creative scientific problem-solving by generating hypotheses and exploring interdisciplinary connections as a research ideation partner.
Performs automated differential gene expression analysis on bulk RNA-seq data using the PyDESeq2 framework.
Generates testable, evidence-based scientific hypotheses and structured experimental designs to accelerate autonomous discovery.
Queries the NHGRI-EBI GWAS Catalog to retrieve genetic variant associations, study metadata, and polygenic risk score data.
Access and analyze over 200 million AI-predicted protein structures for structural biology and computational drug discovery.
Searches and retrieves life sciences preprints from the bioRxiv database by keywords, authors, and categories.
Accesses NIH Metabolomics Workbench to query over 4,200 studies, metabolite structures, and standardized biochemical nomenclature.
Access and retrieve comprehensive nucleotide sequence data and metadata from the European Nucleotide Archive (ENA).
Enables advanced searching and programmatic retrieval of biomedical literature from the PubMed database using E-utilities and MeSH terms.
Evaluates scientific research rigor, methodology, and statistical validity using evidence-based frameworks like GRADE and Cochrane.
Accesses and queries the Ensembl REST API for genomic research, gene annotation, and variant analysis across 250+ species.
Evaluates scholarly research papers and proposals using the peer-reviewed ScholarEval framework to ensure scientific rigor and publication readiness.
Analyzes single-cell omics data using deep generative models for batch correction, multi-omic integration, and probabilistic modeling.
Analyzes whole-slide images and multiparametric imaging data for advanced computational pathology and machine learning workflows.
Queries the Open Targets Platform to identify and prioritize therapeutic drug targets using genetic, omic, and clinical evidence.
Converts diverse file formats including PDF, Word, and Excel into token-efficient Markdown for seamless LLM processing.
Provides AI-ready datasets and benchmarks for therapeutic machine learning and drug discovery tasks.
Performs constraint-based reconstruction and analysis of metabolic models for systems biology and metabolic engineering.
Interfaces with the world's largest chemical database to search, retrieve, and analyze molecular data and bioactivity.
Manipulates, extracts, and generates PDF documents using specialized Python libraries and command-line tools for automated document workflows.
Integrates comprehensive pharmaceutical data from DrugBank for drug discovery, pharmacology research, and safety analysis.
Manipulates genomic datasets by reading and writing SAM, BAM, CRAM, VCF, and FASTA files using a Pythonic interface.
Accesses and orchestrates over 600 scientific tools and databases for bioinformatics, drug discovery, and life sciences research workflows.
Implements production-grade computer vision systems including object detection, segmentation, and real-time video processing using industry-standard frameworks like PyTorch and OpenCV.
Optimizes LLM performance and designs production-grade agentic systems using advanced prompt engineering patterns and evaluation frameworks.
Provides expert guidance on statistical modeling, causal inference, and production-grade machine learning systems to drive data-driven decision-making.
Productionizes machine learning models and builds scalable MLOps systems using industry-leading frameworks and best practices.
Automates the generation of standardized Agent-as-a-Tool and function-based tools for the Strands SDK agent system.
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