data science & ml向けのClaudeスキルを発見してください。61個のスキルを閲覧し、AIワークフローに最適な機能を見つけましょう。
Generates interactive, publication-quality scientific and statistical visualizations using the Plotly Python library.
Automates laboratory liquid handling by generating Python Protocol API v2 scripts for Flex and OT-2 robots.
Detects system hardware capabilities to provide strategic recommendations for computationally intensive scientific tasks.
Streamlines automated protein testing and validation through cloud-based laboratory workflows and sequence optimization tools.
Accesses and analyzes NCBI Gene Expression Omnibus (GEO) data for transcriptomics and genomics research.
Optimizes Large Language Model prompts to minimize token usage, reduce operational costs, and enhance response quality.
Provides rapid access to 20+ genomic databases and bioinformatics tools for gene searching, sequence alignment, and protein structure prediction.
Performs constraint-based metabolic modeling, flux balance analysis, and gene knockout simulations for systems biology and metabolic engineering.
Streamlines systematic literature searches and reference management using PubMed, PICO analysis, and citation metrics.
Connects Claude to the NIH Metabolomics Workbench for comprehensive access to metabolite data, study metadata, and mass spectrometry search capabilities.
Processes and analyzes genomic data formats including BAM, VCF, and FASTA using a Pythonic interface to htslib.
Create publication-quality statistical graphics and complex data visualizations using the Seaborn Python library.
Performs advanced materials analysis, crystal structure manipulation, and Materials Project database integration for computational scientists.
Manages and tracks machine learning model versions, performance metrics, and lineage directly within Claude Code.
Performs exact symbolic mathematics in Python, including calculus, algebra, and complex equation solving.
Accesses the ZINC repository of over 230 million purchasable compounds to streamline virtual screening and drug discovery workflows.
Automates image analysis, object detection, and classification workflows directly within Claude Code.
Applies medicinal chemistry rules and structural filters to prioritize and triage molecular libraries for drug discovery.
Automates the creation, selection, and transformation of data features to optimize machine learning model performance and interpretability.
Generates professional Excel pivot tables and visualizations from raw data using simple natural language commands.
Generates standardized, regulatory-compliant clinical documentation and medical reports following global healthcare guidelines.
Generates publication-quality scientific visualizations and complex multi-panel plots using Python's foundational Matplotlib library.
Predicts future values and identifies patterns in historical time-dependent data using advanced statistical models.
Automates end-to-end scientific research workflows from data analysis and hypothesis generation to producing publication-ready LaTeX papers.
Orchestrates end-to-end MLOps pipelines from data preparation and model training through to production deployment and monitoring.
Automates regression modeling and data analysis to identify relationships between variables and predict future trends.
Automates the integration and configuration of experiment tracking tools like MLflow and Weights & Biases for machine learning projects.
Automates complex Google Vertex AI multimodal operations for advanced video processing, high-fidelity image generation, and end-to-end marketing campaign orchestration.
Builds and deploys production-ready generative AI agents leveraging Google Cloud's Vertex AI and Gemini models.
Detects and manages duplicate or near-duplicate images in FiftyOne datasets using advanced brain similarity computations.
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