data science & ml Claude 스킬을 발견하세요. 61개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Provides evidence-based cancer treatment recommendations and clinical trial matching based on patient molecular profiles.
Architects production-ready LangChain workflows using LCEL, dynamic prompt templates, and complex composition patterns.
Generates high-quality cinematic videos from text descriptions using Kling AI's advanced generative models.
Analyzes historical time-dependent data to predict future trends and patterns using advanced statistical models.
Generates professional ROC curves and calculates AUC metrics to evaluate machine learning classification model performance.
Diagnoses and resolves common LangChain errors, exceptions, and integration issues to streamline AI application development.
Automates the generation and optimization of NVIDIA Triton Inference Server configurations for high-performance ML model serving.
Streamlines the creation, validation, and implementation of regression models for advanced statistical data analysis.
Generates and optimizes production-ready Dagster data pipelines for orchestration, ETL, and data transformation workflows.
Generates publication-quality methodology diagrams and research visuals automatically from text descriptions.
Automates the creation and optimization of data augmentation pipelines to improve machine learning model performance and robustness.
Implements automated early stopping logic to prevent model overfitting and optimize training duration in machine learning workflows.
Optimizes machine learning model training by implementing mixed-precision techniques to reduce memory usage and accelerate computation.
Builds autonomous LangChain agents capable of tool calling and multi-step decision-making workflows.
Executes secondary Groq workflows to complement primary AI tasks and optimize performance for specific sub-tasks.
Generates minimal, production-ready LangChain boilerplate for Python and TypeScript to jumpstart AI-powered application development.
Generates a minimal, functional Deepgram speech-to-text implementation for rapid prototyping and API testing.
Implements high-performance pre-recorded speech-to-text transcription using Deepgram’s Nova-2 AI model.
Automates the creation of production-ready TorchServe configurations for streamlined machine learning model deployment.
Automates the extraction of trend, seasonal, and residual components from temporal datasets for advanced statistical analysis.
Optimizes LangChain application performance by reducing latency, increasing throughput, and implementing efficient resource utilization patterns.
Calculates and interprets statistical significance for experimental data and A/B testing directly within the Claude Code environment.
Automates the design, configuration, and implementation of complex neural network architectures through simple natural language commands.
Analyzes and processes digital images using advanced object detection, classification, and segmentation techniques.
Optimizes machine learning model performance through automated feature creation, selection, and data transformation.
Automates data validation and quality assurance within data pipelines to ensure accuracy and reliability.
Generates interactive, production-ready Plotly visualizations and data dashboards directly within your development workflow.
Streamlines the development and optimization of Kafka-based real-time data processing applications and ETL pipelines.
Automates machine learning model versioning and MLOps workflows to ensure consistent, reproducible deployment cycles.
Automates the deployment and management of Amazon SageMaker endpoints for production-grade machine learning model serving.
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