data science & ml Claude 스킬을 발견하세요. 61개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Orchestrates complex multi-agent systems using AI SDK v5 with intelligent routing, task delegation, and cross-provider workflows.
Generates and renders interactive data visualizations across 20+ chart types using AI-friendly GPT-Vis syntax for modern web frameworks.
Performs meaning-based search across code and documents using embedding-based similarity matching to find relevant information without exact keywords.
Updates and manages the MassGen model registry, including model capabilities, release dates, and pricing information across system backends.
Analyzes mental health metrics, identifies emotional patterns, and correlates psychological well-being with sleep, exercise, and nutrition data.
Builds professional-grade financial models including DCF analysis, Monte Carlo simulations, and scenario planning for investment valuation.
Manages and publishes research papers on the Hugging Face Hub by linking them to models and datasets, claiming authorship, and generating structured markdown articles.
Manages the end-to-end lifecycle of Hugging Face Hub datasets, providing tools for repository initialization, configuration, and structured data streaming.
Manages and automates the integration of structured evaluation results into Hugging Face model cards and metadata.
Trains and fine-tunes language models on Hugging Face's cloud infrastructure using the TRL library.
Accelerates the development of high-performance ML and AI applications in Rust by providing domain-specific design patterns and framework guidance.
Provides deterministic, symbolic mathematical computation using SymPy to ensure absolute accuracy in complex calculations.
Executes deterministic mathematical computations using SymPy to ensure exact symbolic results across algebra, calculus, linear algebra, and statistics.
Configures a Docker-based MCP server for searching and downloading academic papers from arXiv, PubMed, and other scholarly sources.
Transforms complex business data into actionable insights through advanced analytics, predictive modeling, and strategic KPI frameworks.
Architects sophisticated LLM applications using the LangChain framework for agents, memory management, and complex workflow orchestration.
Optimizes development efficiency by routing complex Rust architecture tasks to Sonnet 4.5 and routine utility work to Haiku 4.5.
Optimizes vector index performance by tuning HNSW parameters, quantization strategies, and memory usage for high-scale search.
Optimizes LLM performance through advanced prompting techniques, constitutional AI, and production-ready prompt system design.
Transcribes audio files into text or JSON format using OpenAI's state-of-the-art Whisper API.
Generates testable, evidence-based scientific hypotheses and structured experimental designs from observations or literature.
Provides expert-level data analysis, machine learning modeling, and statistical insights to drive data-driven decision-making.
Implements comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking frameworks.
Builds and automates production-grade machine learning pipelines, experiment tracking systems, and scalable ML infrastructure across cloud platforms.
Builds production-grade LLM applications, advanced RAG architectures, and autonomous agent systems with a focus on scalability and safety.
Performs declarative causal interventions and mechanistic interpretability experiments on PyTorch models.
Implements Anthropic's Constitutional AI method to train harmless, helpful models through self-critique and automated AI feedback.
Optimizes large-scale language model training using NVIDIA Megatron-Core with advanced 3D and expert parallelism strategies.
Accelerates Large Language Model inference on NVIDIA GPUs using state-of-the-art optimization techniques for maximum throughput and minimal latency.
Implements programmable safety rails and validation for LLM applications to prevent jailbreaks, hallucinations, and PII leaks.
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