data science & ml Claude 스킬을 발견하세요. 61개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
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.
Accelerates scientific discovery by automating the generation, refinement, and testing of research hypotheses using large language models and observational datasets.
Builds end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment.
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.
Queries the Ensembl REST API to retrieve genomic sequences, gene annotations, and variant data for over 250 species.
Generates professional, multi-page PDF reports with formatted text, tables, and embedded visualizations using the ReportLab library.
Processes and analyzes mass spectrometry data using Python-based spectral similarity metrics and metadata harmonization.
Trains and deploys distributed neural networks within secure E2B sandbox environments using the Flow Nexus framework.
Streamlines astronomical data analysis and astrophysical calculations using the core Astropy Python library.
Enables professional-grade spreadsheet creation, formula-driven financial modeling, and data analysis with automated error validation.
Accesses and queries the NCBI Gene database to retrieve comprehensive genetic information, sequences, and functional annotations via E-utilities and Datasets APIs.
Generates professional financial models using DCF analysis, Monte Carlo simulations, and scenario planning for investment decision-making.
Predicts high-accuracy 3D binding poses of small molecule ligands to protein targets using state-of-the-art diffusion models.
Analyzes hardware capabilities and provides strategic recommendations for computationally intensive scientific tasks.
Provides comprehensive cheminformatics capabilities for molecular analysis, property calculation, and 3D coordinate generation.
Automates scientific hypothesis generation and testing by combining observational data with literature-based insights using large language models.
Facilitates the development and management of genomics pipelines on the DNAnexus cloud platform using the dxpy Python SDK and CLI.
Automates Excel spreadsheet analysis, data manipulation, and visual reporting using Python-based data science libraries.
Transforms, cleans, and reshapes complex datasets locally using industry-standard Python libraries like pandas and numpy.
Accesses and analyzes the Human Metabolome Database to retrieve detailed metabolite information, chemical properties, and clinical biomarkers.
Queries NCBI Gene databases to retrieve comprehensive genomic data, including sequences, annotations, and functional pathways.
Accesses and analyzes the Human Metabolome Database to retrieve metabolite data, chemical properties, and clinical biomarkers.
Simulates and analyzes open and closed quantum mechanical systems using the QuTiP Python library.
Queries the NCBI Gene database to retrieve comprehensive genetic information, metadata, and sequences for annotation and functional analysis.
Processes and generates multimedia content including audio, video, images, and documents using the Google Gemini API.
Facilitates efficient searching and retrieval of life sciences preprints from the bioRxiv database using keywords, authors, and DOI metadata.
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