Data Science & ML Claude 스킬
data science & ml Claude 스킬을 발견하세요. 53개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Data Anomaly Detection
Identifies outliers and unusual patterns in datasets using machine learning algorithms to uncover potential errors, fraud, or security threats.
Recommendation System Builder
Designs and implements personalized recommendation engines using collaborative filtering, content-based filtering, and hybrid modeling techniques.
Data Visualization Creator
Generates informative and visually appealing charts, plots, and graphs through intelligent data analysis and automated selection of optimal visualization types.
Genkit Production Expert
Builds and deploys production-grade Firebase Genkit applications including RAG systems, multi-step workflows, and AI monitoring across Node.js, Python, and Go.
AI SDK Agent Orchestration
Orchestrates complex multi-agent systems using AI SDK v5 to facilitate intelligent routing, agent handoffs, and coordinated workflows across multiple AI providers.
Vertex AI Agent Builder
Builds and deploys production-ready generative AI agents leveraging Google Cloud's Vertex AI platform and Gemini models.
Deep Learning Optimizer
Optimizes deep learning models by refining architectures, tuning hyperparameters, and implementing advanced training strategies to improve accuracy and efficiency.
Clustering Algorithm Runner
Executes and visualizes machine learning clustering algorithms to identify groups and structures within provided datasets.
Prompt Optimization
Refines and streamlines LLM prompts to minimize token consumption, reduce operational costs, and maximize response quality.
Sentiment Analysis Tool
Analyzes text data to identify emotional tone and classify sentiment as positive, negative, or neutral.
Dataset Partitioning
Automates the division of datasets into training, validation, and testing subsets for machine learning workflows.
Sentiment Analysis Tool
Analyzes text data to identify emotional tone and classify sentiment as positive, negative, or neutral.
AI Ethics Validator
Evaluates and improves the ethical integrity and fairness of AI models and datasets through automated bias detection and mitigation strategies.
Dataset Splitter
Partitions datasets into training, validation, and testing sets to prepare data for machine learning workflows.
Machine Learning Model Deployment
Automates the transition of machine learning models into production environments through optimized deployment workflows and API serving.
Regression Analysis & Modeling
Performs regression analysis and predictive modeling to identify relationships between variables and forecast future data trends.
NLP Text Analyzer
Performs advanced natural language processing to extract sentiment, identify keywords, and model topics from textual data.
ADK Engineer
Engineers production-ready Agent Development Kit (ADK) applications with robust architecture, comprehensive testing, and automated deployment pipelines.
AI Ethics Validator
Evaluates AI models and datasets for bias, fairness, and ethical compliance using industry-standard metrics and frameworks.
AI SDK Agent Orchestration
Orchestrates complex multi-agent systems using AI SDK v5 with intelligent routing, task delegation, and cross-provider workflows.
Hyperparameter Tuner
Optimizes machine learning model configurations using advanced search strategies to maximize predictive performance and efficiency.
ML Model Trainer
Automates the end-to-end machine learning lifecycle including data analysis, model selection, training, evaluation, and artifact generation.
Dataset Splitter
Automates the partitioning of data into training, validation, and testing sets for machine learning model development.
Semantic Search Tools
Performs meaning-based search across code and documents using embedding-based similarity matching to find relevant information without exact keywords.
Model Registry Maintainer
Updates and manages the MassGen model registry, including model capabilities, release dates, and pricing information across system backends.
Hugging Face Evaluation Manager
Manages and automates the integration of structured evaluation results into Hugging Face model cards and metadata.
Hugging Face Paper Publisher
Manages and publishes research papers on the Hugging Face Hub by linking them to models and datasets, claiming authorship, and generating structured markdown articles.
Hugging Face Dataset Creator
Manages the end-to-end lifecycle of Hugging Face Hub datasets, providing tools for repository initialization, configuration, and structured data streaming.
Cloud Model Trainer
Trains and fine-tunes language models on Hugging Face's cloud infrastructure using the TRL library.
Math Tools
Executes deterministic mathematical computations using SymPy to ensure exact symbolic results across algebra, calculus, linear algebra, and statistics.
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