Data Science & ML Habilidades de Claude
Descubre Habilidades de Claude para data science & ml. Explora 61 habilidades y encuentra las capacidades perfectas para tus flujos de trabajo de IA.
LangChain Orchestration
Architects production-grade LLM applications using advanced LangChain orchestration patterns, agents, and complex memory systems.
Apache Airflow Orchestration
Orchestrates complex data pipelines and automated workflows using Apache Airflow's DAG-based architecture and extensive operator ecosystem.
Apache Spark Data Processing
Architects and optimizes scalable, distributed data pipelines and analytics systems using the Apache Spark framework.
MLOps Workflows
Implements production-grade machine learning lifecycles using MLflow for experiment tracking, model registration, and multi-cloud deployment patterns.
Vibe Virtual Machine (VVM)
Orchestrates complex multi-agent workflows and AI-powered programs using a specialized language where the LLM acts as the runtime.
Excel & Financial Modeling
Automates professional-grade spreadsheet creation, financial modeling, and data analysis with dynamic formula preservation and error-free validation.
Biologist Analyst
Analyzes biological systems and life sciences data through evolutionary, molecular, and ecological frameworks.
Claude Agent SDK
Builds production-ready AI agents using Anthropic's official framework for tool orchestration and autonomous workflows.
Biologist Analyst
Analyzes living systems and life sciences phenomena through evolutionary, molecular, and ecological frameworks.
Chemist Analyst
Analyzes complex events through a rigorous chemistry lens, applying principles of molecular structure, reaction mechanisms, and thermodynamics.
Sociologist Analyst
Analyzes social events and structures using rigorous sociological frameworks and theoretical perspectives.
ArXiv Paper Search
Searches the arXiv preprint repository for scholarly articles across scientific fields like machine learning, physics, and mathematics.
Polars Data Engineering Expertise
Accelerates high-performance data processing using the Polars DataFrame library in Python and Rust.
Sociologist Analyst
Analyzes complex events and social systems through the lens of structural-functionalism, conflict theory, and symbolic interactionism.
Chemist Analyst
Analyzes molecular structures, chemical reactions, and material properties through a rigorous scientific and analytical lens.
RAG Pipeline Auditor
Audits and optimizes Retrieval-Augmented Generation (RAG) implementations for performance, accuracy, and production readiness.
Chunking Advisor
Recommends optimal document chunking strategies to improve retrieval quality and accuracy in RAG pipelines.
Eval Gap Finder
Automates the identification and resolution of performance discrepancies between Python and AILANG benchmark success rates.
RAG Scaffold
Generates production-ready Retrieval-Augmented Generation (RAG) pipeline boilerplate code with integrated best practices.
RAG Evaluation & Benchmarking
Evaluates RAG system performance through automated metrics, LLM-as-judge scoring, and competitive benchmarking.
Biologist Analyst
Analyzes biological systems and life science phenomena using evolutionary, molecular, and ecological frameworks.
AlphaFold Database Access
Facilitates the retrieval and analysis of over 200 million AI-predicted protein structures from the AlphaFold DB for biological research and drug discovery.
BioServices Bioinformatics Toolkit
Provides programmatic access to over 40 bioinformatics web services for biological data retrieval, identifier mapping, and pathway analysis.
STRING Database Analysis
Queries the STRING database to analyze protein-protein interaction networks and perform comprehensive functional enrichment for systems biology.
Astropy Scientific Computing
Performs advanced astronomical data analysis, coordinate transformations, and cosmological calculations using the industry-standard Astropy library.
Molfeat Molecular Featurization
Simplifies the conversion of chemical structures into machine learning-ready numerical features using over 100 diverse featurizers.
PyTorch Lightning
Organizes and scales PyTorch deep learning workflows by automating training loops, hardware orchestration, and boilerplate code.
ReportLab PDF Generation
Automates the creation of professional PDF documents, reports, and invoices using the robust ReportLab Python toolkit.
Portfolio Optimization
Optimizes financial computations and portfolio risk metrics by implementing high-performance Python C extensions for large-scale numerical data.
Zarr Python
Manages large-scale N-dimensional arrays with chunking and compression for high-performance scientific computing and cloud storage.
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