data science & ml向けのClaudeスキルを発見してください。53個のスキルを閲覧し、AIワークフローに最適な機能を見つけましょう。
Integrates Google's Gemini models into Claude Code for advanced reasoning and multi-model code analysis.
Simulates and analyzes open and closed quantum mechanical systems using the QuTiP Python library.
Generates professional, multi-page PDF reports with formatted tables, text, and embedded data visualizations using the reportlab library.
Builds robust Retrieval-Augmented Generation systems using vector databases and semantic search to ground LLM responses in proprietary data.
Trains and deploys sophisticated neural network architectures across distributed E2B sandbox environments.
Builds end-to-end MLOps pipelines for data preparation, model training, validation, and production deployment.
Analyzes athletic performance data and training logs to optimize recovery and identify improvement trends.
Accesses and analyzes comprehensive pharmaceutical data from DrugBank including drug properties, interactions, and molecular structures.
Automates end-to-end scientific research workflows from data analysis and hypothesis generation to producing publication-ready LaTeX papers.
Orchestrates end-to-end MLOps pipelines from data preparation and model training to production deployment and monitoring.
Implements systematic evaluation strategies for Large Language Model applications using automated metrics, human feedback, and LLM-as-judge patterns.
Automates the end-to-end scientific research lifecycle from data analysis and hypothesis generation to publication-ready LaTeX manuscripts.
Processes video files through format conversion, audio extraction, and high-accuracy speech-to-text transcription using FFmpeg and Whisper.
Performs advanced molecular manipulation, chemical property calculation, and substructure analysis using the RDKit library.
Builds end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment.
Integrates Reactome's open-source curated pathway database for biological pathway analysis, gene mapping, and systems biology research.
Implements comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking.
Queries the Ensembl REST API to retrieve gene annotations, sequences, variants, and comparative genomics data for over 250 species.
Queries the Ensembl REST API to retrieve genomic sequences, gene annotations, and variant analysis for over 250 species.
Processes and analyzes mass spectrometry data using Python-based spectral similarity metrics and metadata harmonization.
Generates professional, multi-page PDF reports with formatted text, tables, and embedded visualizations using the ReportLab library.
Performs differential gene expression analysis on bulk RNA-seq data using the PyDESeq2 framework.
Accesses and analyzes global public statistical data from the Data Commons knowledge graph directly within your development workflow.
Builds and validates sophisticated Bayesian models using PyMC for probabilistic programming and statistical inference.
Executes Python code in serverless cloud containers with automatic scaling and high-performance GPU support.
Analyzes athletic performance data and workout logs to identify trends, recovery needs, and injury risks.
Automates end-to-end scientific research workflows from initial data analysis to publication-ready LaTeX manuscripts.
Automates end-to-end scientific research workflows from initial data analysis and hypothesis generation to the production of publication-ready LaTeX manuscripts.
Generates rigorous, testable scientific hypotheses and detailed experimental designs based on observations and existing literature.
Trains and deploys distributed neural networks within secure E2B sandbox environments using the Flow Nexus framework.
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