Descubre Habilidades de Claude para data science & ml. Explora 61 habilidades y encuentra las capacidades perfectas para tus flujos de trabajo de IA.
Implements advanced AI backend logic using Vercel AI SDK versions 5 and 6, facilitating model orchestration, agentic workflows, and seamless version migrations.
Integrates Google Gemini AI models using the latest high-performance SDK for text, multimodal, and agentic workflows.
Generates high-performance text embeddings for RAG systems, semantic search, and document clustering using the Gemini API.
Builds advanced financial models including DCF analysis, Monte Carlo simulations, and sensitivity testing for data-driven investment decisions.
Analyzes and visualizes massive tabular datasets exceeding available RAM using high-performance out-of-core DataFrame operations.
Develops genomics pipelines and manages cloud-based biomedical data using the DNAnexus platform and dxpy Python SDK.
Streamlines biomedical data analysis and genomics pipeline development on the DNAnexus cloud platform.
Generates and tests scientific hypotheses from observational datasets and research literature using automated LLM frameworks.
Automates the end-to-end scientific research lifecycle from data hypothesis generation to publication-ready LaTeX manuscripts.
Automates end-to-end scientific research workflows from hypothesis generation and data analysis to publication-ready LaTeX papers.
Accesses and queries the world's most comprehensive database of somatic mutations for cancer research and precision oncology.
Analyzes high-throughput sequencing data (NGS) through automated quality control, normalization, and publication-quality visualization.
Provides programmatic access to DrugBank's extensive bio- and cheminformatics data for pharmaceutical research and drug discovery.
Provides programmatic Python access to over 40 bioinformatics web services and databases for integrated biological data analysis.
Queries the ClinicalTrials.gov API v2 to search, filter, and export global clinical study data for medical research and patient matching.
Automates complex biomedical research tasks including genomics, drug discovery, and clinical analysis through autonomous agent reasoning.
Accesses and retrieves nucleotide sequence data, raw reads, and genome assemblies from the European Nucleotide Archive (ENA).
Queries and interprets NCBI ClinVar data to identify the clinical significance of human genetic variants.
Automates laboratory data management and R&D workflows by integrating with Benchling's registry, inventory, and electronic lab notebook systems.
Automates life sciences R&D workflows by integrating with the Benchling platform for inventory management, registry entities, and electronic lab notebooks.
Executes autonomous multi-step biomedical research tasks spanning genomics, drug discovery, and clinical analysis.
Calculates and interprets key financial ratios and performance metrics from corporate financial statements to support investment analysis.
Automates life sciences research workflows by integrating Benchling's registry, inventory, and electronic lab notebook via Python SDK and API.
Facilitates deep analysis and navigation of the AgentScope library to assist in building multi-agent systems.
Streamlines deep learning workflows by organizing PyTorch code into scalable, modular structures for multi-GPU and TPU training.
Empowers Claude to create, train, and deploy self-learning autonomous agents using nine specialized reinforcement learning algorithms.
Manages systematic literature screening by evaluating titles and abstracts against formal research protocols to generate auditable logs.
Extracts taxonomy seeds and hierarchical topics from academic survey papers to bootstrap research structures.
Synthesizes structured research data into comprehensive, evidence-backed narratives for systematic reviews.
Audits research claims against supporting evidence to identify gaps, unsupported assertions, and weak evaluation protocols.
Scroll for more results...