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。
Extracts and analyzes metadata from NetCDF and CDL files into structured CSV format for documentation and data analysis.
Architects and orchestrates collaborative multi-agent AI teams using the CrewAI framework for complex, task-driven workflows.
Provides production-ready architectural blueprints and code implementation guides for building advanced, scalable LLM-powered applications.
Implements production-ready architectures for LLM applications, including RAG pipelines, autonomous agent patterns, and prompt management workflows.
Automates the creation, editing, and analysis of professional Excel spreadsheets with advanced formula support and financial modeling standards.
Optimizes LLM performance and reduces API costs through strategic prompt, response, and semantic caching techniques.
Architects high-performance conversational AI systems with optimized latency, natural turn-taking, and robust voice activity detection.
Analyzes market trends and technical indicators to provide actionable trading insights and detailed risk assessments.
Orchestrates complex multi-agent AI teams using the CrewAI framework to automate sophisticated workflows through collaborative role-based agents.
Implement production-ready AI architectures using proven patterns for RAG, autonomous agents, and prompt engineering.
Manages professional-grade spreadsheet creation, editing, and financial modeling with rigorous formula verification and industry-standard formatting.
Executes complex numerical calculations, linear algebra operations, and scientific computing tasks using the high-performance Julia language.
Retrieves global atmospheric, land, and ocean climate reanalysis data from the Copernicus Climate Data Store using the CDS API.
Streamlines bioinformatics pipeline development and genomics data management on the DNAnexus cloud platform.
Migrates codebases and prompts from legacy Claude models to Opus 4.5 across various API platforms.
Automates end-to-end scientific research workflows from initial data analysis to publication-ready LaTeX manuscripts.
Simplifies programmatic access to over 40 bioinformatics web services and databases using a unified Python interface.
Automates complex biomedical research tasks including genomics, drug discovery, and clinical analysis through autonomous AI reasoning and code execution.
Executes complex biomedical research tasks including genomics analysis, drug discovery, and molecular biology workflows through an autonomous agent framework.
Designs resilient contingency module architectures to manage failure scenarios within AI governance frameworks.
Performs comprehensive exploratory data analysis on over 200 scientific file formats to generate detailed quality reports and statistical summaries.
Retrieves and analyzes protein-protein interaction networks and functional enrichment data directly from the STRING database.
Executes real-time, AI-powered web searches with cited sources and scientific literature access using Perplexity models.
Automates end-to-end scientific research workflows from data analysis and hypothesis generation to producing publication-ready LaTeX manuscripts.
Creates sophisticated, interactive, and custom SVG-based data visualizations using the D3.js library.
Applies uncompromising scientific rigor and theoretical correctness to complex software engineering and high-performance implementation challenges.
Facilitates advanced protein design, structure prediction, and representation learning using ESM3 and ESM C models.
Simplifies molecular cheminformatics workflows with a Pythonic interface for RDKit, handling molecular standardization, descriptors, and 3D conformers.
Integrates ChromaDB to store embeddings and perform high-performance semantic search for AI applications.
Architects, simulates, and optimizes quantum circuits for execution on high-performance simulators and real quantum hardware using Google's open-source framework.
Scroll for more results...