data science & ml Claude 스킬을 발견하세요. 61개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Audits machine learning models and datasets to identify biases and ensure ethical compliance through fairness metrics and mitigation strategies.
Enables advanced molecular analysis, chemical property calculation, and 3D coordinate generation using the RDKit toolkit.
Processes and analyzes massive tabular datasets with billions of rows using out-of-core DataFrame operations and lazy evaluation.
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.
Facilitates collaborative research ideation by generating hypotheses, identifying research gaps, and exploring interdisciplinary connections for scientific problem-solving.
Downloads, parses, and summarizes ArXiv research papers by analyzing their raw LaTeX source code for deep technical insights.
Provides comprehensive cheminformatics capabilities for molecular analysis, manipulation, and drug discovery workflows.
Accesses the Ensembl REST API to retrieve genomic sequences, gene annotations, and variant data for over 250 species.
Connects Claude's cognitive orchestration to physical robotics and sensor systems using low-latency control and cryptographic integrity.
Systematically evaluates research papers, literature reviews, and academic methodologies using the ScholarEval framework to ensure scientific rigor and novelty.
Accesses and analyzes over 200 million AI-predicted protein structures from the AlphaFold DB for structural biology and drug discovery.
Solves complex single, multi, and many-objective optimization problems using evolutionary algorithms and Pareto-optimal analysis.
Queries the Reactome database to perform biological pathway analysis, gene-pathway mapping, and expression enrichment for systems biology research.
Builds and deploys serverless bioinformatics workflows using the Latch SDK and cloud infrastructure.
Implements advanced time series machine learning workflows for classification, forecasting, and anomaly detection using scikit-learn compatible APIs.
Generates interactive, publication-quality scientific and statistical charts using the Plotly Python library.
Detects hardware resources and provides strategic recommendations for optimal scientific computing and data processing.
Orchestrates multi-agent AI swarms with dynamic topologies and parallel execution for complex distributed tasks.
Enhances AI agents with high-performance adaptive learning and vector-based memory distillation using AgentDB.
Enables direct REST API access to UniProt for protein searching, FASTA sequence retrieval, and cross-database identifier mapping.
Accesses the STRING database to analyze protein-protein interaction networks and perform functional enrichment for systems biology.
Performs comprehensive survival analysis and time-to-event modeling using the scikit-survival library in Python.
Searches and retrieves information from the ZINC database of 230M+ purchasable compounds for drug discovery and virtual screening.
Integrates KEGG REST API access into workflows for biological pathway analysis, gene mapping, and molecular interaction research.
Queries NCBI ClinVar to retrieve and interpret clinical significance data for human genetic variants.
Accesses comprehensive pharmacogenomics data for precision medicine, genotype-guided dosing, and clinical decision support.
Accesses and queries the ChEMBL database for bioactive molecules, drug targets, and bioactivity data within medicinal chemistry workflows.
Access and query the COSMIC database for somatic mutations, cancer gene census, and mutational signatures to support precision oncology research.
Analyzes whole-slide pathology images and multiparametric imaging data using advanced machine learning and spatial graph techniques.
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