data science & ml向けのClaudeスキルを発見してください。61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。
Queries the ClinicalTrials.gov API v2 to search, filter, and extract global clinical study data for medical research and patient matching.
Orchestrates over 48 specialized AI agents for autonomous cryptocurrency trading, market analysis, and backtesting across multiple exchanges.
Infers gene regulatory networks (GRNs) from transcriptomics data using scalable algorithms like GRNBoost2 and GENIE3.
Queries the ClinicalTrials.gov API v2 to search, retrieve, and analyze clinical trial data for research and patient matching.
Queries and analyzes over 240 million scholarly works, authors, and institutions via the OpenAlex API.
Performs comprehensive single-cell RNA-seq analysis including quality control, clustering, and cell type annotation using the Scanpy framework.
Provides programmatic access and comprehensive analysis of the DrugBank database for pharmaceutical research and bioinformatics workflows.
Provides specialized algorithms and workflows for advanced time series tasks including forecasting, classification, and anomaly detection.
Accesses the ZINC22 database to search, filter, and retrieve 230M+ purchasable chemical compounds for virtual screening and drug discovery.
Provides unified access to 20+ genomic databases for sequence analysis, protein structure prediction, and rapid bioinformatics queries.
Queries the ClinicalTrials.gov API to search for medical studies, retrieve trial details, and export structured clinical research data.
Accesses and analyzes comprehensive pharmaceutical data from DrugBank, including drug properties, interactions, targets, and chemical structures.
Generates publication-quality scientific visualizations and data plots locally using Python's Matplotlib and Seaborn libraries.
Builds high-performance Retrieval-Augmented Generation systems using vector databases, semantic search, and advanced retrieval patterns.
Queries the Ensembl REST API to retrieve gene annotations, sequences, variants, and comparative genomics data for over 250 species.
Builds end-to-end MLOps pipelines for data preparation, model training, validation, and production deployment.
Calculates and interprets key financial ratios from corporate data to provide deep investment and performance insights.
Trains and deploys sophisticated neural network architectures across distributed E2B sandbox environments.
Accesses and analyzes comprehensive pharmaceutical data from DrugBank including drug properties, interactions, and molecular structures.
Builds end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment.
Automates the end-to-end scientific research lifecycle from data analysis and hypothesis generation to publication-ready LaTeX manuscripts.
Implements high-performance persistent memory and context management for AI agents using AgentDB.
Accesses and searches the bioRxiv preprint server to retrieve life sciences research metadata and download full-text PDFs.
Provides high-performance tools for genomic interval analysis, overlap detection, and machine learning preprocessing using Rust and Python.
Implements comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking.
Integrates Reactome's open-source curated pathway database for biological pathway analysis, gene mapping, and systems biology research.
Generates rigorous, testable scientific hypotheses and detailed experimental designs based on observations and existing literature.
Generates professional, multi-page PDF reports with formatted text, tables, and embedded visualizations using the ReportLab library.
Processes and analyzes mass spectrometry data using Python-based spectral similarity metrics and metadata harmonization.
Trains and deploys distributed neural networks within secure E2B sandbox environments using the Flow Nexus framework.
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