data science & ml Claude 스킬을 발견하세요. 61개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Transforms, cleans, and reshapes complex datasets locally using industry-standard Python libraries like pandas and numpy.
Automates Excel spreadsheet manipulation, data cleaning, and visualization using Python's Pandas and OpenPyXL libraries.
Accesses and analyzes the Human Metabolome Database to retrieve detailed metabolite information, chemical properties, and clinical biomarkers.
Automates Excel spreadsheet analysis, data manipulation, and visual reporting using Python-based data science libraries.
Automates end-to-end scientific research workflows from initial data analysis and hypothesis generation to the production of publication-ready LaTeX manuscripts.
Performs comprehensive single-cell RNA-seq analysis including quality control, clustering, and cell type annotation using the Scanpy framework.
Integrates Reactome's open-source curated pathway database for biological pathway analysis, gene mapping, and systems biology research.
Queries NCBI Gene databases to retrieve comprehensive genomic data, including sequences, annotations, and functional pathways.
Processes and generates multimedia content including audio, video, images, and documents using the Google Gemini API.
Interfaces with the European Nucleotide Archive to programmatically retrieve DNA/RNA sequences, raw reads, and genome metadata.
Queries the NCBI Gene database to retrieve comprehensive genetic information, metadata, and sequences for annotation and functional analysis.
Accesses and retrieves genomic data from the European Nucleotide Archive (ENA) via REST APIs and FTP for bioinformatics pipelines.
Accesses and retrieves genomic data, including DNA/RNA sequences and raw reads, from the European Nucleotide Archive (ENA) via REST APIs and FTP.
Empowers AI agents to conduct complex scientific research by providing standardized access to over 600 specialized tools across bioinformatics, genomics, and drug discovery.
Accesses and analyzes the Human Metabolome Database to retrieve metabolite data, chemical properties, and clinical biomarkers.
Provides a unified Python interface for accessing over 40 major bioinformatics web services and databases including UniProt, KEGG, and ChEMBL.
Analyzes single-cell omics data using deep generative models for batch correction, integration, and differential expression.
Accesses and retrieves genomic data, sequences, and metadata from the European Nucleotide Archive via REST APIs and FTP.
Processes and analyzes complex physiological signals including ECG, EEG, EDA, and respiratory data for scientific research and clinical applications.
Automates laboratory workflows and controls hardware like liquid handlers and plate readers using a hardware-agnostic Python interface.
Accelerates scientific discovery by automating the generation, refinement, and testing of research hypotheses using large language models and observational datasets.
Accesses and analyzes comprehensive FDA regulatory data for drugs, medical devices, food safety, and substances through the openFDA API.
Analyzes SEC filings and financial statements using advanced EdgarTools integration for financial data extraction.
Processes and analyzes complex physiological signals including ECG, EEG, EDA, and respiratory patterns for psychophysiological research.
Integrates Google's Gemini models into Claude Code for advanced reasoning and multi-model code analysis.
Simplifies molecular cheminformatics workflows by providing a Pythonic abstraction layer over RDKit for drug discovery and molecular analysis.
Simplifies mass spectrometry data analysis by providing Pythonic access to the OpenMS library for proteomics and metabolomics workflows.
Simplifies the creation, manipulation, and analysis of complex network structures and graph algorithms in Python.
Generates interactive, publication-quality scientific and statistical charts using the Plotly Python library.
Infers gene regulatory networks from transcriptomics data using scalable machine learning algorithms like GRNBoost2 and GENIE3.
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