Data Science & ML Habilidades de Claude
Descubre Habilidades de Claude para data science & ml. Explora 53 habilidades y encuentra las capacidades perfectas para tus flujos de trabajo de IA.
Ensembl Genome Database
Queries the Ensembl REST API to retrieve gene annotations, sequences, variants, and comparative genomics data for over 250 species.
RAG Implementation Pro
Builds high-performance Retrieval-Augmented Generation systems using vector databases, semantic search, and advanced retrieval patterns.
Data Visualization Plots
Generates publication-quality scientific visualizations and data plots locally using Python's Matplotlib and Seaborn libraries.
Flow Nexus Neural Networks
Trains and deploys sophisticated neural network architectures across distributed E2B sandbox environments.
PDF Report Generator
Generates professional, multi-page PDF reports with formatted tables, text, and embedded data visualizations using the reportlab library.
Denario Scientific Research Assistant
Automates end-to-end scientific research workflows from data analysis and hypothesis generation to producing publication-ready LaTeX papers.
RAG Implementation Guide
Builds robust Retrieval-Augmented Generation systems using vector databases and semantic search to ground LLM responses in proprietary data.
ML Pipeline Workflow
Builds end-to-end MLOps pipelines for data preparation, model training, validation, and production deployment.
FluidSim CFD Framework
Simulates high-performance fluid dynamics using pseudospectral methods and Python-based HPC workflows.
Training Log Analyzer
Analyzes athletic performance data and training logs to optimize recovery and identify improvement trends.
DrugBank Database Analysis
Accesses and analyzes comprehensive pharmaceutical data from DrugBank including drug properties, interactions, and molecular structures.
QuTiP Quantum Simulation
Simulates and analyzes open and closed quantum mechanical systems using the QuTiP Python library.
DrugBank Database Integration
Accesses and analyzes comprehensive pharmaceutical data from DrugBank, including drug properties, interactions, targets, and chemical structures.
Video Processor & Transcriber
Processes video files through format conversion, audio extraction, and high-accuracy speech-to-text transcription using FFmpeg and Whisper.
LLM Evaluation Framework
Implements systematic evaluation strategies for Large Language Model applications using automated metrics, human feedback, and LLM-as-judge patterns.
Reactome Database Integration
Integrates Reactome's open-source curated pathway database for biological pathway analysis, gene mapping, and systems biology research.
LLM Performance Evaluation
Implements comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking.
Denario Scientific Research Automation
Automates the end-to-end scientific research lifecycle from data analysis and hypothesis generation to publication-ready LaTeX manuscripts.
RDKit Cheminformatics Toolkit
Performs advanced molecular manipulation, chemical property calculation, and substructure analysis using the RDKit library.
PyMC Bayesian Modeling
Builds and validates sophisticated Bayesian models using PyMC for probabilistic programming and statistical inference.
Modal Cloud Computing
Executes Python code in serverless cloud containers with automatic scaling and high-performance GPU support.
Scientific Hypothesis Generation
Generates rigorous, testable scientific hypotheses and detailed experimental designs based on observations and existing literature.
ML Pipeline Workflow
Builds end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment.
PyDESeq2 Analysis
Performs differential gene expression analysis on bulk RNA-seq data using the PyDESeq2 framework.
Data Commons Explorer
Accesses and analyzes global public statistical data from the Data Commons knowledge graph directly within your development workflow.
Denario Research Assistant
Automates end-to-end scientific research workflows from initial data analysis to publication-ready LaTeX manuscripts.
Denario AI Research Orchestrator
Automates end-to-end scientific research workflows from initial data analysis and hypothesis generation to the production of publication-ready LaTeX manuscripts.
Matchms Mass Spectrometry Analysis
Processes and analyzes mass spectrometry data using Python-based spectral similarity metrics and metadata harmonization.
Scientific Critical Thinking
Evaluates research rigor and methodology to provide deep critical analysis of scientific claims and evidence quality.
Dask Parallel Computing
Scales Python data processing and scientific computing across multiple cores or distributed clusters for larger-than-RAM datasets.
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