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。
Transforms, cleans, and reshapes complex datasets locally using industry-standard Python libraries like pandas and numpy.
Provides comprehensive cheminformatics capabilities for molecular analysis, property calculation, and 3D coordinate generation.
Accelerates genomic interval analysis and machine learning preprocessing using a high-performance Rust-based toolkit with Python bindings.
Implement high-performance semantic search and vector storage for intelligent document retrieval and RAG systems.
Automates Excel spreadsheet analysis, data manipulation, and visual reporting using Python-based data science libraries.
Processes and analyzes high-performance genomic interval data using Rust-powered algorithms and Python bindings.
Evaluates research rigor and methodology to provide deep critical analysis of scientific claims and evidence quality.
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.
Accesses and analyzes the Human Metabolome Database to retrieve metabolite data, chemical properties, and clinical biomarkers.
Facilitates programmatic access and querying of the NHGRI-EBI GWAS Catalog for genetic variant and trait associations.
Queries the NCBI Gene database to retrieve comprehensive genetic information, metadata, and sequences for annotation and functional analysis.
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.
Processes and analyzes physiological signals like ECG, EEG, and EDA using the NeuroKit2 Python library.
Manipulates, analyzes, and visualizes phylogenetic and hierarchical tree structures for phylogenomics and clustering research.
Automates protein sequence optimization and experimental validation through cloud-based laboratory testing.
Automates end-to-end scientific research workflows from initial data analysis and hypothesis generation to the production of publication-ready LaTeX manuscripts.
Accesses and retrieves genomic data from the European Nucleotide Archive (ENA) via REST APIs and FTP for bioinformatics pipelines.
Automates life sciences R&D workflows by integrating Benchling's registry, inventory, and electronic lab notebook via API and Python SDK.
Predicts 3D protein-ligand binding poses using diffusion-based deep learning for structure-based drug design.
Implements high-performance Graph Neural Networks and geometric deep learning architectures using the PyTorch Geometric library.
Executes Python code in serverless cloud containers with automatic scaling and high-performance GPU support.
Calculates and interprets comprehensive financial ratios from balance sheets and income statements to provide actionable investment insights.
Maintains and updates model registries, pricing, and capabilities for AI providers within the MassGen ecosystem.
Implements advanced prompting patterns and psychological persuasion principles to maximize LLM performance, reliability, and controllability.
Provides expert guidance for building, managing, and orchestrating data pipelines with Dagster and the dg CLI.
Predicts customer lifetime value and performs RFM analysis using regression algorithms for e-commerce and retail data.
Analyzes multi-step user conversion journeys to identify bottlenecks and optimize business growth metrics.
Performs automated RFM analysis and K-means clustering on e-commerce transaction data to identify and rank high-value customer segments.
Scroll for more results...