Data Science & ML Claude 技能
发现data science & ml类别的 Claude 技能。浏览 53 个技能，找到适合您 AI 工作流程的完美功能。
Moon Dev AI Trading Agents
Orchestrates 48+ specialized AI agents for autonomous cryptocurrency trading, market analysis, and backtesting across multiple exchanges.
FlowIO Flow Cytometry Handler
Parses and writes Flow Cytometry Standard (FCS) files, enabling seamless conversion of biological data into NumPy arrays and dataframes for scientific analysis.
UMAP Dimensionality Reduction
Implements high-performance manifold learning and dimensionality reduction for data visualization and clustering.
ClinicalTrials.gov Database Connector
Queries the ClinicalTrials.gov API v2 to search, retrieve, and analyze clinical trial data for research and patient matching.
DeepChem Molecular ML
Enables advanced molecular machine learning and drug discovery workflows using specialized featurizers and graph neural networks.
Hypogenic: Automated Scientific Hypothesis Generation
Generates, refines, and tests scientific hypotheses from datasets and literature using large language models.
Aeon Time Series Machine Learning
Provides specialized algorithms and workflows for advanced time series tasks including forecasting, classification, and anomaly detection.
Training Log Analyzer
Analyzes athletic performance data and training logs to optimize recovery and identify improvement trends.
ML Pipeline Workflow
Builds end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment.
PDF Report Generator
Generates professional, multi-page PDF reports with formatted tables, text, and embedded data visualizations using the reportlab library.
Model Registry Maintainer
Maintains and updates AI model registries including pricing, context windows, and provider capabilities.
DeepChem Molecular ML
Streamlines molecular machine learning workflows for drug discovery, property prediction, and graph neural network implementation.
COSMIC Cancer Database Integration
Access and download somatic mutation data from the COSMIC database for cancer research and bioinformatics pipelines.
Arboreto GRN Inference
Infers gene regulatory networks (GRNs) from transcriptomics data using scalable algorithms like GRNBoost2 and GENIE3.
DNAnexus Integration
Facilitates the development and management of genomics pipelines on the DNAnexus cloud platform using the dxpy Python SDK and CLI.
ClinicalTrials.gov Database
Queries the ClinicalTrials.gov API to search for medical studies, retrieve trial details, and export structured clinical research data.
Scientific Hypothesis Generation
Generates rigorous, testable scientific hypotheses and detailed experimental designs based on observations and existing literature.
Benchling Integration
Integrates Benchling’s R&D platform with Claude to automate life sciences workflows, manage biological registries, and streamline lab data operations.
Universal Data Visualization
Generates publication-quality scientific plots and visualizations using Matplotlib and Seaborn across all LLM providers.
PDF Processing Professional
Automates the extraction, manipulation, and processing of PDF documents using industry-standard Python libraries.
DrugBank Database Integration
Accesses and analyzes comprehensive pharmaceutical data from DrugBank, including drug properties, interactions, targets, and chemical structures.
Biomni Biomedical Research Agent
Automates complex biomedical research tasks including genomics, drug discovery, and clinical analysis through autonomous reasoning and code execution.
Denario Scientific Research Automation
Automates the end-to-end scientific research lifecycle from data analysis and hypothesis generation to publication-ready LaTeX manuscripts.
LatchBio Bioinformatics Integration
Builds and deploys serverless bioinformatics workflows on the Latch platform using Python, Nextflow, or Snakemake.
Financial Modeling Suite
Builds professional-grade financial models including DCF analysis, Monte Carlo simulations, and multi-scenario risk assessments.
Benchling R&D Integration
Automates laboratory data management and life sciences R&D workflows by integrating with the Benchling platform via Python SDK and REST API.
ML Pipeline Workflow Orchestrator
Builds end-to-end MLOps pipelines from data preparation and model training to production deployment and monitoring.
ML Pipeline Workflow
Builds end-to-end MLOps pipelines for data preparation, model training, validation, and production deployment.
RAG Implementation
Implements Retrieval-Augmented Generation (RAG) systems using vector databases and semantic search to ground LLM applications in external knowledge.
ML Pipeline Workflow
Orchestrates end-to-end MLOps pipelines from data preparation and model training to production deployment and monitoring.
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