Descubre Habilidades de Claude para data science & ml. Explora 61 habilidades y encuentra las capacidades perfectas para tus flujos de trabajo de IA.
Integrates comprehensive financial market data for stocks, forex, crypto, and technical indicators into the Claude environment.
Provides direct access to the KEGG REST API for biological pathway analysis, gene mapping, and metabolic research.
Integrates Twelve Data for real-time and historical financial market data across stocks, forex, crypto, and technical indicators.
Provides comprehensive guidance and technical specifications for selecting and optimizing xAI Grok models within developer workflows.
Streamlines deep learning development by organizing PyTorch code into scalable, boilerplate-free Lightning modules and automated training workflows.
Provides comprehensive tools for phylogenetic tree manipulation, evolutionary analysis, and high-quality biological data visualization.
Manages and analyzes microscopy data through the OMERO Python API for scientific imaging and high-content screening workflows.
Evaluates scientific research rigor and evidence quality using standardized frameworks like GRADE and Cochrane.
Provides comprehensive guidance on leveraging Claude Opus 4.5, including reasoning control via the effort parameter and performance optimization.
Transforms chemical structures into machine learning-ready numerical features using a library of over 100 featurizers and pretrained models.
Transforms monolithic Python research code and notebooks into modular, production-ready package structures.
Performs precise unit conversions, dimensional analysis, and unit-aware arithmetic using the Pint library.
Builds process-based discrete-event simulations in Python to model complex systems with resource contention and time-based events.
Customizes and optimizes Amazon Bedrock foundation models through fine-tuning, continued pre-training, reinforcement learning, and model distillation.
Optimizes vector search and RAG applications through intelligent embedding model selection and advanced document chunking strategies.
Builds, trains, and optimizes hybrid quantum-classical models using automatic differentiation and hardware-agnostic circuit programming.
Generates high-quality statistical graphics and data visualizations with seamless Pandas integration.
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production environments.
Implements a multi-layered persistent memory architecture that enables AI agents to learn from experience and retain knowledge across sessions.
Implements comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking frameworks.
Implement comprehensive evaluation frameworks for AI applications using automated metrics, human feedback, and LLM-as-judge patterns.
Manages large-scale N-dimensional arrays with chunked storage, compression, and seamless cloud integration for scientific computing pipelines.
Empowers Claude to perform advanced time series machine learning, including classification, forecasting, and anomaly detection using the specialized aeon toolkit.
Optimizes vector database performance by tuning HNSW parameters and implementing advanced quantization strategies for AI applications.
Optimizes text embedding selection and chunking strategies to enhance semantic search and RAG application performance.
Architects and implements sophisticated LLM applications using LangChain agents, chains, and memory patterns.
Creates, edits, and analyzes sophisticated Excel workbooks with a focus on dynamic formulas, financial modeling standards, and automated recalculation.
Accesses and queries the PubMed database for biomedical literature, systematic reviews, and citation management.
Calculates comprehensive portfolio risk metrics and risk-adjusted return ratios for quantitative trading strategies.
Combines vector similarity and keyword-based search to improve retrieval accuracy and recall in AI-driven applications.
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