data science & ml向けのClaudeスキルを発見してください。61個のスキルを閲覧し、AIワークフローに最適な機能を見つけましょう。
Provides production-ready architectural blueprints and code implementation guides for building advanced, scalable LLM-powered applications.
Extracts and analyzes metadata from NetCDF and CDL files into structured CSV format for documentation and data analysis.
Architects high-performance conversational AI systems with optimized latency, natural turn-taking, and robust voice activity detection.
Manages professional-grade spreadsheet creation, editing, and financial modeling with rigorous formula verification and industry-standard formatting.
Analyzes market trends and technical indicators to provide actionable trading insights and detailed risk assessments.
Implements high-performance software and theoretical computer science solutions with absolute scientific rigor and formal verification.
Executes complex biomedical research tasks including genomics analysis, drug discovery, and molecular biology workflows through an autonomous agent framework.
Automates end-to-end scientific research workflows from initial data analysis to publication-ready LaTeX manuscripts.
Executes complex numerical calculations, linear algebra operations, and scientific computing tasks using the high-performance Julia language.
Automates complex biomedical research tasks including genomics, drug discovery, and clinical analysis through autonomous AI reasoning and code execution.
Automates end-to-end scientific research workflows from data analysis and hypothesis generation to producing publication-ready LaTeX manuscripts.
Simplifies programmatic access to over 40 bioinformatics web services and databases using a unified Python interface.
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.
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.
Queries the Open Targets Platform to identify and prioritize therapeutic drug targets through genetic, omics, and clinical evidence.
Migrates codebases and prompts from legacy Claude models to Opus 4.5 across various API platforms.
Designs and orchestrates collaborative AI agent teams using the CrewAI framework for complex, role-based workflows.
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.
Cleans, reshapes, and preprocesses datasets locally using pandas, numpy, and sklearn for any LLM provider.
Builds type-safe, composable LLM applications in Ruby by programmatically defining models, modules, and optimization workflows.
Access and download NCBI Gene Expression Omnibus (GEO) datasets for transcriptomics and genomics research.
Processes and generates multimedia content including audio, video, images, and documents using the Google Gemini API.
Builds and manages discrete-event simulations in Python for modeling complex systems like logistics, manufacturing, and network traffic.
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