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。
Builds, simulates, and executes quantum circuits on simulators and hardware providers using Google's open-source Cirq framework.
Queries and analyzes the OpenAlex database to search scholarly literature, track citations, and perform bibliometric analysis.
Empowers protein engineering and biological research through state-of-the-art ESM3 generative models and ESM C embeddings.
Automates the creation, editing, and analysis of professional-grade Excel spreadsheets with dynamic formulas and industry-standard financial formatting.
Explains machine learning model predictions and feature importance using mathematically grounded Shapley values and high-impact visualizations.
Integrates with LabArchives Electronic Lab Notebook (ELN) via REST API to automate research documentation, data uploads, and notebook management.
Accesses the Open Targets Platform to identify therapeutic targets, analyze disease associations, and evaluate drug tractability.
Designs resilient contingency module architectures to manage failure scenarios within AI governance frameworks.
Builds production-grade AI agents using the Pydantic AI framework with robust type safety and structured outputs.
Analyzes CSV files to provide immediate statistical summaries and automated data visualizations using Python and pandas.
Optimizes token usage and reduces operational costs when delegating tasks to the Gemini CLI.
Automates laboratory liquid handling workflows by generating and optimizing Opentrons Protocol API v2 scripts for Flex and OT-2 robots.
Automates spreadsheet creation, complex financial modeling, and data analysis with professional formatting and formula integrity.
Implements comprehensive evaluation frameworks for LLM applications using automated metrics, human feedback, and LLM-as-judge patterns.
Automates end-to-end scientific research workflows from initial data analysis and hypothesis generation to publication-ready LaTeX manuscripts.
Guides developers through the methodical, step-by-step implementation of research papers to ensure deep understanding and reproducible results.
Transforms vague research interests into concrete, actionable, and tractable research questions with a systematic feasibility analysis.
Architects specialized, production-ready AI agents using a rigorous 4-phase methodology and evidence-based prompting techniques.
Design and implement sophisticated LLM applications using LangChain's agents, memory, and tool integration patterns.
Optimizes LLM performance and reliability through advanced prompt engineering techniques and structured reasoning patterns.
Orchestrates end-to-end MLOps pipelines from data preparation and model training to automated production deployment.
Accesses and retrieves nucleotide sequences, raw reads, and genome assemblies from the European Nucleotide Archive (ENA) via REST APIs and FTP.
Performs automated exploratory data analysis and generates comprehensive markdown reports for over 200 scientific file formats.
Builds comprehensive financial models including DCF analysis, sensitivity testing, and Monte Carlo simulations for investment and valuation decisions.
Generates rigorous experimental frameworks to validate research hypotheses with statistical significance and comprehensive baseline comparisons.
Executes complex numerical calculations, linear algebra operations, and scientific computing tasks using the high-performance Julia language.
Designs adaptive user-facing agent experts to create personalized product experiences and dynamic UX.
Retrieves global atmospheric, land, and ocean climate reanalysis data from the Copernicus Climate Data Store using the CDS API.
Converts text and long-form markdown documents into high-quality audio locally using the Kokoro-82M model optimized for Apple Silicon.
Automates the creation, configuration, and deployment of machine learning demos on Hugging Face Spaces using Gradio, Streamlit, and ZeroGPU.
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