Descubre Habilidades de Claude para data science & ml. Explora 61 habilidades y encuentra las capacidades perfectas para tus flujos de trabajo de IA.
Queries the Reactome database to perform biological pathway analysis, gene enrichment, and molecular interaction mapping for systems biology research.
Performs hypothesis-driven statistical analysis and data visualization on datasets, system metrics, and experiment logs.
Analyzes and describes visual content from images and PDF files using the Gemini 1.5 Flash vision model.
Guides the design, evaluation, and implementation of robust LLM-powered projects and agentic architectures.
Transforms raw data into persuasive narratives and executive-ready presentations using proven storytelling frameworks and visualization techniques.
Transforms complex business data into actionable insights through advanced analytics, KPI frameworks, and strategic BI modeling.
Transforms complex business data into actionable insights and strategic recommendations using advanced analytics and predictive modeling.
Creates, edits, and analyzes complex spreadsheets while preserving formulas, formatting, and professional layouts using Python libraries.
Creates, scaffolds, and refactors structured Jupyter notebooks for data experiments and technical tutorials.
Manages complex academic research workflows through 24 specialized agents with mandatory human-in-the-loop checkpoints.
Designs and executes rigorous qualitative data collection protocols for interviews, focus groups, and systematic observations.
Integrates qualitative and quantitative research data to generate rigorous meta-inferences and professional joint displays.
Systematically evaluates research study quality and risk of bias using context-adaptive methodologies and industry-standard appraisal tools.
Standardizes meta-analysis data extraction through a multi-layered AI-human collaboration framework and automated statistical provenance.
Orchestrates complex social science research and systematic reviews using 24 specialized agents and integrated academic database tools.
Automates and manages the end-to-end 7-stage PRISMA 2020 systematic literature review pipeline from research question to RAG system.
Build and deploy production-ready multi-agent systems with MCP integration and automated workflows.
Generates testable, evidence-based scientific hypotheses and structured experimental designs across research domains.
Automates complex quantitative and qualitative research workflows with 5-phase methodological guidance and multi-language code generation.
Programmatically creates, edits, and optimizes Jupyter and Google Colab notebooks with precise JSON formatting and metadata management.
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