data science & ml Claude 스킬을 발견하세요. 71개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Configures cloud GPU environments and provides selection guidance for Modal, Lambda Labs, and RunPod platforms.
Sets up comprehensive monitoring dashboards using TensorBoard and Weights & Biases to track machine learning experiments in real-time.
Integrates ElevenLabs Scribe v1 for high-accuracy speech-to-text transcription across 99 languages with speaker diarization.
Implements production-ready RAG pipelines and advanced retrieval strategies using LlamaIndex templates and scripts.
Extracts text, tables, and metadata from PDF, DOCX, and HTML documents to power RAG pipelines and data processing workflows.
Configures and optimizes Google Cloud Platform environments for BigQuery ML and Vertex AI training workloads.
Implements and optimizes advanced search strategies including semantic, hybrid, and reranking for high-performance RAG systems.
Implements sophisticated autonomous agent architectures and workflow patterns using the Vercel AI SDK.
Provides production-ready machine learning templates and training workflows for classification, text generation, and financial analysis.
Implements production-ready RAG pipelines and multi-step agent workflows using LangChain, LangGraph, and LangSmith templates.
Implements high-performance Retrieval Augmented Generation (RAG) pipelines including document chunking, vector database integration, and semantic search.
Manages high-fidelity voice cloning workflows, library organization, and audio optimization for synthetic speech generation.
Integrates local Large Language Models with Home Assistant and Ollama for private, high-performance smart home automation.
Streamlines code reviews for the Llama Stack repository by focusing on distributed system patterns, API compatibility, and automated testing fixtures.
Prevents Jupyter notebook hangs by explicitly managing CuPy GPU memory pools and Python garbage collection.
Streamlines the development of AI-powered features within the Moodle LMS using the official AI Subsystem for version 4.5 and above.
Manages and routes requests across multiple AI providers including Anthropic, Ollama, and HuggingFace.
Analyzes protein and molecular structures through AlphaFold interpretation, quality validation metrics, and comparative structural techniques.
Streamlines scientific development on HPC environments using multi-root workspaces and automated test data extraction.
Implements queue-based GPU allocation and memory cleanup patterns to prevent OOM crashes and ensure reliable progress tracking in parallel workflows.
Implements advanced Retrieval-Augmented Generation (RAG) workflows to build knowledge-grounded LLM applications and semantic search systems.
Provides standardized statistical analysis strategies and data exploration patterns for scientific discovery and research.
Provides strategies, implementation patterns, and workflows for genomics and transcriptomics data analysis.
Provides expert strategies for metabolite identification, pathway enrichment, and metabolic flux analysis to interpret complex biochemical data.
Configures and personalizes your Claude Code Colab environment through interactive setup and automated notebook modification.
Designs and implements sophisticated LLM applications using the LangChain framework for agents, memory management, and modular workflows.
Implements advanced prompt engineering techniques to optimize LLM performance, reliability, and output controllability in production environments.
Implements comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and LLM-as-judge patterns.
Generates vector embeddings for project-local skills and agents to enable intelligent semantic search and smart routing within Claude Code.
Programmatically creates, edits, and optimizes Jupyter and Google Colab notebooks with precise JSON formatting and metadata management.
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