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。
Facilitates complex decision-making through a multi-agent debate simulation that analyzes problems from diverse cognitive perspectives.
Integrates the latest Google Gemini 3 and 2.5 models using the modern @google/genai SDK for multimodal processing and advanced reasoning.
Executes complex, multi-step biomedical research tasks using autonomous AI reasoning and integrated biological databases.
Compresses verbose agent memories into a dense, symbolic format for efficient knowledge retrieval and context management.
Automates complex biomedical research tasks including genomics, drug discovery, and clinical data analysis using an autonomous agent framework.
Executes autonomous multi-step research tasks across genomics, drug discovery, and clinical analysis using integrated biomedical databases.
Automates the end-to-end scientific research pipeline from hypothesis generation to publication-ready LaTeX manuscripts.
Classifies and categorizes text using zero-shot learning or custom-trained SetFit models for high-accuracy document labeling.
Powers high-accuracy OCR, named entity recognition, and search reranking for document processing and RAG optimization.
Builds and deploys production-ready Streamlit data applications natively within the Snowflake Data Cloud environment.
Accesses the NIH Metabolomics Workbench API to retrieve experimental study data, metabolite structures, and standardized biochemical nomenclature.
Profiles datasets and generates structured analysis task breakdowns for data science workflows.
Accesses the NIH Metabolomics Workbench to query metabolite structures, experimental studies, and mass spectrometry data.
Enforces rigorous output-first verification and subagent delegation for reliable data science workflows in Claude Code.
Debugs and verifies Jupyter, Marimo, and Jupytext notebooks by enforcing rigorous execution and traceback checks.
Enforces rigorous technical validation and user acceptance testing for data science workflows to ensure reproducible results.
Applies medicinal chemistry rules, structural alerts, and drug-likeness filters to prioritize compound libraries for drug discovery.
Performs exact symbolic mathematical computations including algebra, calculus, and physics modeling directly in Python.
Manipulates, analyzes, and visualizes phylogenetic and hierarchical trees with seamless NCBI taxonomy integration.
Queries the NHGRI-EBI GWAS Catalog to retrieve genetic variant associations, trait data, and genomic summary statistics.
Conducts systematic, comprehensive literature reviews across multiple scientific databases with verified citations and professional formatting.
Connects Claude to the ZINC22 database to perform chemical compound searches, virtual screening, and drug discovery workflows.
Manages the graceful termination of LlamaFarm backend services and background RAG workers.
Implements high-performance semantic search and RAG workflows using Cloudflare Vectorize V2 with optimized metadata filtering and batch processing.
Recommends optimized experiment plans and development tasks by analyzing historical project data across machine learning and GPU computing domains.
Migrates codebases and prompts from Claude Sonnet 4.0, 4.5, or Opus 4.1 to the Opus 4.5 model across multiple platforms.
Generates, edits, and analyzes complex Excel workbooks using dynamic formulas, professional financial formatting, and automated data validation.
Automates end-to-end scientific research workflows from data analysis and hypothesis generation to publication-ready LaTeX manuscripts.
Integrates Claude with the Benchling R&D platform to automate life sciences data management, laboratory inventory, and electronic notebook entries.
Provides a comprehensive suite of specialized algorithms for time series machine learning including classification, forecasting, and anomaly detection.
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