发现data science & ml类别的 Claude 技能。浏览 61 个技能,找到适合您 AI 工作流程的完美功能。
Automates scientific hypothesis generation and testing by combining observational data with literature insights using large language models.
Processes, filters, and analyzes mass spectrometry data for metabolomics research and chemical identification.
Provides comprehensive tools for molecular analysis, chemical property calculation, and 3D structure generation within scientific research workflows.
Evaluates research rigor and methodology through systematic assessment of statistical validity, biases, and evidence quality.
Integrates Google Gemini's advanced coding models into Claude Code for high-context refactoring, deep analysis, and automated file editing.
Optimizes machine learning model performance by automating feature creation, selection, and complex data transformations.
Processes and analyzes genomic data formats including BAM, VCF, and FASTA using a Pythonic interface to htslib.
Queries and interprets NCBI ClinVar data to provide standardized genetic variant classifications and clinical significance evidence.
Builds, optimizes, and executes quantum circuits and algorithms across various hardware providers and simulators.
Automates digital pathology image processing and tile extraction for whole slide images in deep learning pipelines.
Generates interactive, publication-quality scientific and statistical visualizations using the Plotly Python library.
Analyzes, manipulates, and visualizes phylogenetic and hierarchical trees for genomic research and bioinformatics.
Optimizes machine learning model performance by automatically searching for ideal hyperparameter configurations using advanced search strategies.
Provides deep insights and interpretability for machine learning models using advanced techniques like SHAP and LIME.
Connects Claude to the NIH Metabolomics Workbench for comprehensive access to metabolite data, study metadata, and mass spectrometry search capabilities.
Optimizes Large Language Model prompts to minimize token usage, reduce operational costs, and enhance response quality.
Optimizes LLM performance through advanced prompt design, agentic system architecture, and rigorous evaluation frameworks.
Sets up and executes probabilistic inference of ancestral geographic ranges on phylogenetic trees using BioGeoBEARS in R.
Optimizes deep learning models by refining architectures and training parameters to enhance accuracy and reduce resource consumption.
Organizes and scales PyTorch code into modular, high-performance deep learning workflows with minimal boilerplate.
Performs fast, nonlinear dimensionality reduction to visualize high-dimensional data and optimize machine learning clustering workflows.
Builds professional-grade Leveraged Buyout (LBO) models in Excel for private equity analysis and transaction screening.
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.
Simulates and analyzes closed and open quantum mechanical systems using the Quantum Toolbox in Python.
Performs exact symbolic mathematics in Python, including calculus, algebra, and complex equation solving.
Automates laboratory liquid handling by generating Python Protocol API v2 scripts for Flex and OT-2 robots.
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.
Generates professional Excel pivot tables and visualizations from raw data using simple natural language commands.
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