Descubre Habilidades de Claude para data science & ml. Explora 61 habilidades y encuentra las capacidades perfectas para tus flujos de trabajo de IA.
Generates professional-grade music and sound effects from text descriptions using Meta's AudioCraft deep learning library.
Facilitates advanced biomedical literature searches and programmatic data retrieval from the PubMed database using MeSH terms and E-utilities.
Designs structured evaluation frameworks for AI agents including metrics, datasets, and automated grading strategies.
Generates expertly structured German system prompts and tool integration instructions for Langdock assistants.
Provides strategic guidance on building, evaluating, and iterating on AI agents using industry-standard frameworks.
Executes autonomous multi-step biomedical research tasks including genomics analysis, drug discovery, and CRISPR design.
Implements comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and rigorous benchmarking.
Implements a systematic, hypothesis-driven methodology for the iterative improvement of AI agents through automated evaluations and data-driven feedback loops.
Validates evaluation contract readiness and metadata integrity before initiating agentic optimization loops.
Implements advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production applications.
Builds and orchestrates end-to-end MLOps pipelines from data preparation through production deployment.
Builds robust Retrieval-Augmented Generation (RAG) systems using vector databases and semantic search to ground LLM responses in proprietary data.
Architects sophisticated LLM applications using the LangChain framework for agents, memory management, and complex tool integration.
Queries the ClinicalTrials.gov API to search, filter, and analyze global clinical study data for medical research and patient matching.
Implements lightweight dataset tracking and reproducibility patterns to ensure data changes are explicit and traceable.
Identifies and removes duplicate or visually similar images in FiftyOne datasets using deep learning embeddings.
Implements high-performance adaptive learning and experience replay for AI agents using the AgentDB vector engine.
Performs comprehensive statistical hypothesis testing, regression analysis, and Bayesian modeling with automated assumption checking and APA-style reporting.
Orchestrates dynamic AI context, intelligent memory systems, and RAG workflows for enterprise-scale multi-agent applications.
Optimizes LLM performance and reliability through advanced prompting techniques like few-shot learning and chain-of-thought reasoning.
Manages complex Excel workbooks with automated formula recalculation, professional financial modeling standards, and deep data analysis capabilities.
Automates the creation, editing, and analysis of professional-grade Excel spreadsheets with dynamic formulas and industry-standard formatting.
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production applications.
Implements advanced prompt engineering techniques to optimize LLM performance, reliability, and structured output in production environments.
Monitors and summarizes the Nixtla forecasting ecosystem to provide actionable updates on TimeGPT, StatsForecast, and MLForecast.
Generates testable, evidence-based scientific hypotheses and experimental designs across multiple research domains.
Combines vector similarity and keyword-based search to improve retrieval accuracy in RAG systems and search engines.
Implement high-performance similarity search and vector retrieval patterns across multiple database providers.
Implements sophisticated autonomous agent architectures and workflow patterns using the Vercel AI SDK.
Designs framework-agnostic, portable AI agents and multi-agent workflows using Oracle's Open Agent Specification.
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