data science & ml Claude 스킬을 발견하세요. 61개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Automates biomedical literature searches and data retrieval from the PubMed database using advanced MeSH queries and the E-utilities API.
Evaluates scientific research rigor and methodology through systematic analysis of experimental design, statistical validity, and potential biases.
Processes and analyzes complex physiological data including ECG, EEG, and EDA for scientific research and health applications.
Analyzes CSV files automatically to generate comprehensive statistical summaries and tailored visualizations using Python and pandas.
Provides a comprehensive suite of statistical modeling tools for rigorous inference, hypothesis testing, and econometric analysis in Python.
Integrates Hugging Face Transformers for advanced natural language processing, computer vision, and audio tasks within development workflows.
Facilitates advanced materials analysis, crystal structure manipulation, and computational workflows using the Python Materials Genomics library.
Simplifies querying the openFDA API to analyze regulatory data, drug safety profiles, medical device clearances, and food recalls.
Processes and analyzes massive tabular datasets with billions of rows using out-of-core DataFrame operations and lazy evaluation.
Automates professional-grade spreadsheet creation, editing, and analysis with a focus on formula integrity and financial modeling standards.
Accesses the Human Metabolome Database (HMDB) to retrieve metabolite data, chemical properties, and clinical biomarkers for metabolomics research.
Queries the NHGRI-EBI GWAS Catalog to retrieve SNP-trait associations, genetic variant data, and genome-wide association study summary statistics.
Integrates with the NIH Metabolomics Workbench REST API to query metabolite data, standardized nomenclature, and experimental studies for biomarker discovery.
Accesses the ClinicalTrials.gov API v2 to search, filter, and export global clinical research data for medical analysis.
Automates the collection of authoritative deep learning resources and generates structured, multi-stage learning paths with interactive HTML guides.
Enables development and training of Graph Neural Networks (GNNs) using the PyTorch Geometric library.
Searches and retrieves life sciences preprints from the bioRxiv database with advanced filtering and PDF download capabilities.
Streamlines the development, validation, and systematic documentation of trading strategies and market edges.
Facilitates collaborative research ideation by generating hypotheses, identifying research gaps, and exploring interdisciplinary connections for scientific problem-solving.
Connects Claude to cloud laboratory services for automated protein testing, sequence optimization, and wet-lab validation.
Provides comprehensive cheminformatics capabilities for molecular analysis, manipulation, and drug discovery workflows.
Generates comprehensive reference architecture specifications and implementation roadmaps for custom AI agent frameworks.
Provides comprehensive guidance and implementation patterns for data science, machine learning engineering, and AI application development.
Diagnoses and resolves machine learning training failures like loss divergence and gradient issues through automated artifact analysis.
Facilitates direct integration with the Google Gemini API for multi-modal content handling and context management within multi-model infrastructures.
Accesses the Ensembl REST API to retrieve genomic sequences, gene annotations, and variant data for over 250 species.
Streamlines genomics pipeline development and data management on the DNAnexus cloud platform using the dxpy Python SDK.
Systematically evaluates research papers, literature reviews, and academic methodologies using the ScholarEval framework to ensure scientific rigor and novelty.
Conducts systematic, multi-database academic literature reviews with automated citation verification and professional formatting.
Accesses and analyzes over 200 million AI-predicted protein structures from the AlphaFold DB for structural biology and drug discovery.
Scroll for more results...