Descubre Habilidades de Claude para data science & ml. Explora 61 habilidades y encuentra las capacidades perfectas para tus flujos de trabajo de IA.
Provides strategic guidance on AI scaling laws, capability trajectories, and product positioning for frontier models.
Analyzes and applies François Chollet’s theoretical framework for evaluating artificial general intelligence and fluid reasoning capabilities.
Builds high-impact AI systems for scientific research using architectural principles derived from DeepMind's AlphaFold.
Optimizes Apache Spark jobs using advanced partitioning, memory management, and shuffle tuning patterns.
Designs framework-agnostic, portable AI agents and multi-agent workflows using Oracle's Open Agent Specification.
Builds robust, production-grade backtesting systems for trading strategies with specialized handling for look-ahead bias and transaction costs.
Implements high-performance embedding pipelines and vector search strategies for RAG applications.
Architects sophisticated LLM applications using the LangChain framework for agents, memory management, and complex tool integration.
Builds and orchestrates end-to-end MLOps pipelines from data preparation through production deployment.
Implement industry-standard prompt engineering techniques to improve LLM accuracy, reliability, and structured output handling.
Implements efficient similarity search and vector database patterns for semantic retrieval and RAG systems.
Implements advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production applications.
Implements comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and rigorous benchmarking.
Generates expertly structured German system prompts and tool integration instructions for Langdock assistants.
Automates the iterative refinement of AI agent performance through contract-driven evaluation and multi-lever optimization protocols.
Streamlines the lifecycle of LLM prompts by enabling versioning, deployment, and management within the Langfuse observability platform.
Refines AI agent performance through structured optimization loops, automated evaluation contracts, and persistent multi-lever tuning.
Generates production-ready React-Leaflet components and interactive geographic information system (GIS) interfaces using TypeScript.
Automates OpenAI API operations including multimodal responses, structured data generation, image creation, and text embeddings.
Automates data retrieval and operational tasks on Enigma using the Rube MCP toolkit and Composio.
Automates machine learning workflows and BigML operations through the Rube MCP server and Composio toolkit.
Automates Wit.ai Natural Language Understanding (NLU) workflows and model management through Rube MCP and Composio.
Validates neural posterior estimators through Simulation-Based Calibration (SBC) and comprehensive diagnostic testing.
Transforms raw data into persuasive narratives and visualizations for business stakeholders and executive presentations.
Implements comprehensive evaluation frameworks for LLM applications using automated metrics, human-in-the-loop feedback, and A/B testing.
Implements efficient semantic search and vector database patterns for production-grade retrieval systems.
Builds robust, production-grade backtesting systems for trading strategies while eliminating common statistical biases.
Provides comprehensive financial frameworks for modeling, valuation, corporate finance decisions, and advanced statement analysis.
Models complex personal finance scenarios using Monte Carlo simulations, US tax logic, and goal-based projection tools.
Enables high-speed multi-modal analysis and document summarization using Gemini Flash within the Claude Code environment.
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