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。
Implements production-grade Apache Airflow workflows using industry-standard patterns for orchestration, error handling, and testing.
Refines vague data analysis requests into clear, actionable objectives using Socratic questioning before any code is written.
Connects Claude to over 600 specialized scientific tools and databases for bioinformatics, drug discovery, and genomic analysis.
Performs high-performance genomic interval analysis and data preprocessing for machine learning using Rust-powered tools.
Simplifies computational molecular biology tasks including sequence manipulation, NCBI database access, and structural analysis.
Provides a high-performance Rust toolkit for genomic interval analysis, coverage track generation, and machine learning tokenization.
Builds production-grade backtesting systems for trading strategies with rigorous bias mitigation and realistic performance modeling.
Facilitates mass spectrometry data analysis, proteomics, and metabolomics workflows using Python-based OpenMS bindings.
Analyzes complex mass spectrometry data for proteomics and metabolomics using Python bindings for the OpenMS library.
Facilitates computational molecular biology tasks using the Biopython library for sequence analysis, structural bioinformatics, and NCBI database integration.
Orchestrates end-to-end MLOps pipelines from data preparation and model training to production deployment and monitoring.
Accesses over 40 major bioinformatics web services and databases through a unified Python interface for seamless biological data retrieval and analysis.
Automates the generation, refinement, and testing of scientific hypotheses by integrating observational data with existing literature.
Automates professional spreadsheet creation, data analysis, and financial modeling with rigorous formula verification and formatting standards.
Simplifies scientific research by providing standardized access to over 600 tools for bioinformatics, drug discovery, and computational biology.
Optimizes Apache Spark jobs using advanced partitioning, memory management, and shuffle tuning strategies to enhance data processing speed.
Indexes and transcribes historical evidence regarding water licenses, irrigation, and fishing rights for legal-grade archival processing.
Queries the openFDA API to retrieve comprehensive data on drugs, medical devices, food safety, and adverse events.
Architects sophisticated LLM applications using LangChain patterns for agents, conversation memory, and modular chain workflows.
Orchestrates Recursive Language Models (RLM) to process and analyze massive datasets and files exceeding 10MB using Rust and WASM.
Queries the openFDA API to analyze regulatory data for drugs, medical devices, food safety, and chemical substances.
Queries the openFDA API to retrieve comprehensive data on drug safety, medical device clearances, food recalls, and substance identifiers.
Streamlines the creation, testing, and optimization of sophisticated autonomous agents and subagents within the Claude Code ecosystem.
Orchestrates over 600 scientific tools and datasets for bioinformatics, drug discovery, and advanced computational research workflows.
Generates publication-quality charts and statistical visualizations using Matplotlib and Seaborn.
Automates the configuration and management of reproducible data collection pipelines from databases, APIs, web scraping, and LLM generation.
Exports data analysis results into multiple professional formats including CSV, Excel, JSON, and Markdown with customized formatting.
Implements fully managed Retrieval-Augmented Generation (RAG) using the Google Gemini File Search API for advanced document Q&A.
Automates the creation, editing, and analysis of professional Excel workbooks with formula persistence and financial modeling standards.
Executes complex, multi-step biomedical research tasks using autonomous AI reasoning and integrated biological databases.
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