Descubre Habilidades de Claude para data science & ml. Explora 61 habilidades y encuentra las capacidades perfectas para tus flujos de trabajo de IA.
Builds advanced document analysis applications using the Azure AI Document Intelligence SDK for Java.
Queries the ClinicalTrials.gov API v2 to search, retrieve, and export global clinical study data for research and patient matching.
Optimizes vector index performance to balance search latency, recall accuracy, and memory usage in production environments.
Queries the Federal Reserve Economic Data (FRED) API to retrieve and analyze over 800,000 global economic time series and regional indicators.
Transforms raw data into actionable business insights using advanced analytics, KPI frameworks, and predictive modeling.
Integrates biological pathway analysis and molecular interaction data from the open-source Reactome database into systems biology workflows.
Simplifies geospatial data analysis and remote sensing workflows across multiple programming languages and platforms.
Reconstructs evolutionary histories by building, analyzing, and visualizing phylogenetic trees from biological sequences.
Builds reusable CLI scripts and shell-friendly utilities for interacting with the Hugging Face Hub API and ecosystem.
Automates ultra-fast AI inference workflows including chat completions and audio translations using GroqCloud's high-performance API.
Manages Hugging Face models, datasets, spaces, and infrastructure using the modern hf command-line interface.
Facilitates advanced biomedical literature searches and programmatic data retrieval using PubMed's E-utilities API.
Analyzes dietary data and provides personalized nutritional insights by correlating intake with health metrics like sleep and exercise.
Automates Humanloop prompt management, evaluation, and monitoring workflows using the Rube MCP server.
Performs advanced numerical computing, matrix operations, and scientific data visualization using MATLAB and GNU Octave syntax.
Processes and analyzes complex mass spectrometry data for high-throughput proteomics and metabolomics workflows.
Perform rigorous statistical modeling, econometrics, and hypothesis testing using Python's premier statistics library.
Queries and analyzes over 240 million scholarly works, authors, and institutions via the OpenAlex open catalog.
Generates professional static, animated, and interactive visualizations using Python's foundational plotting library.
Builds sophisticated autonomous agents and multi-agent systems using industry-standard frameworks like CrewAI and LangGraph.
Optimizes AI context window usage through strategic compression, masking, and partitioning to maximize token efficiency and performance.
Builds comprehensive 3-5 year financial models with revenue projections, cash flow analysis, and scenario planning for early-stage startups.
Implements persistent tiered memory systems for LLMs to manage short-term, long-term, and entity-specific context.
Automates AI and Machine Learning API operations through the Composio ecosystem and Rube MCP.
Enables the loading, fine-tuning, and deployment of pre-trained transformer models for natural language processing, computer vision, and audio tasks.
Queries the Genome Aggregation Database (gnomAD) for population allele frequencies, variant constraint scores, and genetic pathogenicity insights.
Streamlines Neuropixels high-density neural recording analysis with automated preprocessing, spike sorting, and quality metric computation.
Formulates testable, evidence-based scientific hypotheses and experimental designs from raw observations and data.
Provides a unified Python interface to access and integrate data from over 40 major bioinformatics web services and databases.
Automates DataRobot machine learning workflows and model management using Rube MCP and Composio toolkits.
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