发现data science & ml类别的 Claude 技能。浏览 61 个技能,找到适合您 AI 工作流程的完美功能。
Automates end-to-end scientific research workflows from data analysis and hypothesis generation to publication-ready LaTeX manuscripts.
Automates complex biomedical research tasks including drug discovery, genomics analysis, and CRISPR screening design using an autonomous AI agent framework.
Integrates Claude with the DNAnexus cloud platform to build genomic apps, manage biomedical data, and automate bioinformatics workflows using the dxpy SDK.
Access and analyze comprehensive pharmaceutical data from DrugBank for drug discovery, pharmacology research, and chemical property analysis.
Queries and interprets NCBI ClinVar data to identify genetic variant clinical significance and pathogenicity.
Generates professional PDF reports with formatted text, tables, and embedded visualizations using Python's reportlab library.
Automates Life Sciences R&D workflows by integrating Benchling registry, inventory, and notebook operations via Python SDK and REST API.
Automates the end-to-end MLOps lifecycle from data preparation and model training to production deployment and monitoring.
Generates professional, locally-executed PDF reports featuring formatted text, data tables, and embedded visualizations using the reportlab library.
Combines vector similarity and keyword-based search to optimize retrieval accuracy for RAG systems and search engines.
Implements advanced prompt engineering techniques to maximize LLM reliability, reasoning capabilities, and structured output quality.
Develops and trains Graph Neural Networks (GNNs) for deep learning on irregular structures and relational data.
Builds and validates Bayesian statistical models using PyMC's probabilistic programming framework.
Generates professional, publication-quality data visualizations and charts using Python's foundational plotting library.
Performs differential gene expression analysis using Python's DESeq2 implementation for bulk RNA-seq data.
Transforms complex academic papers into detailed, evidence-based narrative explanations with rigorous citation standards for research workflows.
Builds end-to-end MLOps pipelines from data preparation and model training through to production deployment.
Executes comprehensive geopolitical intelligence and data-driven research using the GDELT database and specialized analysis agents.
Simplifies computational molecular biology tasks including sequence manipulation, phylogenetic analysis, and programmatic NCBI database access.
Transforms raw CSV data into interactive Plotly visualizations, comprehensive statistical reports, and professional multi-plot dashboards.
Builds type-safe, composable LLM applications in Ruby using the programmatic DSPy framework.
Analyzes athletic training logs to track progress, identify performance plateaus, and optimize recovery schedules using sports science principles.
Builds, trains, and deploys distributed neural networks within secure E2B sandbox environments using Flow Nexus.
Builds robust AI-powered applications using advanced prompt engineering, RAG patterns, and multi-provider LLM integrations.
Generates professional PDF reports featuring formatted text, data tables, and embedded visualizations using the reportlab Python library.
Processes video files through audio extraction, format conversion, and automated AI transcription using Whisper and FFmpeg.
Build Retrieval-Augmented Generation (RAG) systems to ground LLM applications in external knowledge and proprietary data.
Generates professional, publication-quality plots and data visualizations using Python's Matplotlib and Seaborn libraries.
Simplifies computational molecular biology tasks including sequence manipulation, phylogenetic analysis, and programmatic NCBI database access.
Streamlines computational molecular biology tasks including sequence manipulation, phylogenetic analysis, and programmatic NCBI database access.
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