data science & ml Claude 스킬을 발견하세요. 61개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Implements production-grade LLM-as-a-judge techniques and evaluation rubrics to assess and compare AI model outputs with high reliability.
Extracts structured semantic content from documents, audio, images, and video files using Azure's multimodal AI services.
Manages Azure AI Foundry projects including connections, datasets, search indexes, and model evaluations using the Java SDK.
Interfaces with the Hugging Face Dataset Viewer API to browse, search, and analyze machine learning datasets directly within your coding environment.
Builds reusable command-line utilities and composable scripts for interacting with the Hugging Face API and Hub.
Builds high-performance scientific applications and production-grade Julia 1.10+ packages using modern ecosystem best practices.
Orchestrates multi-agent workflows to design, build, and deploy production-grade machine learning pipelines.
Generates professional, publication-quality Python visualizations including static, animated, and interactive plots.
Interfaces with the U.S. National Library of Medicine's PubMed database using advanced Boolean queries and E-utilities REST APIs.
Analyzes skin health data to identify patterns, assess risks, and generate personalized dermatological insights and routine optimizations.
Provides comprehensive tools for rigorous statistical estimation, inference, and diagnostic testing in Python.
Generates publication-quality statistical graphics and multivariate data visualizations directly from Python DataFrames.
Automates the creation, editing, and analysis of professional Excel workbooks using industry-standard financial modeling conventions.
Analyzes psychological data to identify patterns, track therapy progress, and assess mental well-being across multiple health dimensions.
Provides a comprehensive Python-based workflow for analyzing single-cell RNA-seq data, from quality control to trajectory inference.
Builds complex, collaborative AI agent teams using the role-based CrewAI framework for structured enterprise workflows.
Create, manage, and query Hugging Face datasets using SQL and specialized templates for high-quality AI training data.
Builds software features guided by data insights, statistical A/B testing, and continuous measurement frameworks.
Integrates real-time, bidirectional voice conversation capabilities into Java applications using the Azure AI VoiceLive SDK.
Analyzes rehabilitation data to track functional recovery, identify pain patterns, and optimize physical therapy progress through data-driven insights.
Architects sophisticated conversational interfaces and intelligent chatbots with advanced natural language understanding and context management.
Implements persistent, tiered memory systems to help LLMs track user preferences, entities, and long-term conversation history.
Integrates Microsoft Azure AI Vision capabilities into Java applications for automated image captioning, OCR, and object detection.
Detects and filters harmful text and image content using Azure's AI-driven moderation and multi-severity classification.
Analyzes complex dietary data to provide evidence-based nutritional insights, RDA assessments, and personalized health recommendations.
Automates the publishing, linking, and management of research papers on the Hugging Face Hub.
Analyzes and indexes video content from social media platforms to build persistent, searchable visual intelligence.
Implements reliable agentic patterns including ReAct and Plan-Execute loops to build self-correcting, production-grade AI systems.
Implements sophisticated univariate and multivariate anomaly detection in Java applications using the Azure AI Anomaly Detector SDK.
Integrates Azure AI Document Intelligence into Java applications for automated data extraction and document analysis.
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