data science & ml Claude 스킬을 발견하세요. 61개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Queries the ClinicalTrials.gov API to search for medical studies, retrieve trial details, and export structured clinical research data.
Accesses and analyzes comprehensive pharmaceutical data from DrugBank, including drug properties, interactions, targets, and chemical structures.
Accesses the NIH Metabolomics Workbench API to query metabolites, experimental studies, and standardized chemical nomenclature.
Generates professional PDF reports with formatted text, tables, and embedded visualizations using the reportlab library.
Generates publication-quality scientific visualizations and data plots locally using Python's Matplotlib and Seaborn libraries.
Accesses and analyzes comprehensive FDA regulatory data for drugs, medical devices, food safety, and substances through the openFDA API.
Builds high-performance Retrieval-Augmented Generation systems using vector databases, semantic search, and advanced retrieval patterns.
Queries the Ensembl REST API to retrieve gene annotations, sequences, variants, and comparative genomics data for over 250 species.
Builds end-to-end MLOps pipelines for data preparation, model training, validation, and production deployment.
Provides programmatic access to openFDA datasets for drug safety research, medical device surveillance, and food recall analysis.
Trains and deploys sophisticated neural network architectures across distributed E2B sandbox environments.
Accesses and analyzes comprehensive pharmaceutical data from DrugBank including drug properties, interactions, and molecular structures.
Builds end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment.
Scales Python data processing and scientific computing across multiple cores or distributed clusters for larger-than-RAM datasets.
Empowers drug discovery and molecular analysis by integrating the DeepChem toolkit for property prediction, featurization, and graph neural networks.
Automates the end-to-end scientific research lifecycle from data analysis and hypothesis generation to publication-ready LaTeX manuscripts.
Implements comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking.
Integrates Reactome's open-source curated pathway database for biological pathway analysis, gene mapping, and systems biology research.
Generates rigorous, testable scientific hypotheses and detailed experimental designs based on observations and existing literature.
Generates professional, multi-page PDF reports with formatted text, tables, and embedded visualizations using the ReportLab library.
Accesses and retrieves gene expression and functional genomics data from the NCBI Gene Expression Omnibus (GEO).
Processes and analyzes mass spectrometry data using Python-based spectral similarity metrics and metadata harmonization.
Searches the arXiv preprint repository for scholarly articles across various scientific and technical domains.
Trains and deploys distributed neural networks within secure E2B sandbox environments using the Flow Nexus framework.
Accesses and analyzes comprehensive FDA regulatory data for drugs, medical devices, and food safety through the openFDA API.
Develops and deploys specialized machine learning models for healthcare using clinical datasets and medical coding systems.
Infers gene regulatory networks (GRNs) from transcriptomics data using scalable algorithms like GRNBoost2 and GENIE3.
Accesses and integrates data from over 40 bioinformatics web services and databases using a unified Python API.
Provides comprehensive cheminformatics capabilities for molecular analysis, property calculation, and 3D coordinate generation.
Automates Excel spreadsheet analysis, data manipulation, and visual reporting using Python-based data science libraries.
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