data science & ml Claude 스킬을 발견하세요. 61개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Automates laboratory liquid handling by generating Python Protocol API v2 scripts for Flex and OT-2 robots.
Optimizes Large Language Model prompts to minimize token usage, reduce operational costs, and enhance response quality.
Connects Claude to the NIH Metabolomics Workbench for comprehensive access to metabolite data, study metadata, and mass spectrometry search capabilities.
Builds and deploys production-ready generative AI agents leveraging Google Cloud's Vertex AI and Gemini models.
Automates professional spreadsheet creation, data analysis, and financial modeling with rigorous formula validation.
Provides rapid access to 20+ genomic databases and bioinformatics tools for gene searching, sequence alignment, and protein structure prediction.
Automates advanced spreadsheet creation, data analysis, and professional financial modeling with rigorous formula validation.
Organizes and scales PyTorch code into modular, high-performance deep learning workflows with minimal boilerplate.
Manages and tracks machine learning model versions, performance metrics, and lineage directly within Claude Code.
Conducts real-time academic research and technical documentation searches using Perplexity's Sonar models with automated citations.
Performs advanced materials analysis, crystal structure manipulation, and Materials Project database integration for computational scientists.
Applies medicinal chemistry rules and structural filters to prioritize and triage molecular libraries for drug discovery.
Performs exact symbolic mathematics in Python, including calculus, algebra, and complex equation solving.
Accesses and retrieves nucleotide sequences, raw reads, and genomic metadata from the European Nucleotide Archive (ENA).
Automates image analysis, object detection, and classification workflows directly within Claude Code.
Automates the ingestion of external REST API data into a RAG-powered vector database for enhanced AI context.
Integrates multi-provider AI image generation capabilities into Next.js applications using Replicate and fal.ai.
Accesses the ZINC repository of over 230 million purchasable compounds to streamline virtual screening and drug discovery workflows.
Generates standardized, regulatory-compliant clinical documentation and medical reports following global healthcare guidelines.
Generates professional Excel pivot tables and visualizations from raw data using simple natural language commands.
Integrates multi-provider AI video generation capabilities into Next.js applications using Replicate and fal.ai.
Orchestrates multi-agent deliberations and structured critiques across multiple LLMs to provide optimized architectural and coding recommendations.
Automates regression modeling and data analysis to identify relationships between variables and predict future trends.
Predicts future values and identifies patterns in historical time-dependent data using advanced statistical models.
Generates comprehensive, scheduler-aware phylogenomics pipelines from genome assemblies using single-copy orthologs.
Provides a comprehensive toolkit for time series machine learning including classification, forecasting, and anomaly detection using scikit-learn compatible APIs.
Productionizes machine learning models and builds scalable MLOps systems with world-class engineering standards.
Ingests large PDF documents into a RAG pipeline with parallel parsing, S3 storage, and Postgres status tracking.
Automates complex Google Vertex AI multimodal operations for advanced video processing, high-fidelity image generation, and end-to-end marketing campaign orchestration.
Configures a unified AI Gateway layer to manage and switch between 200+ large language models through a single interface.
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