data science & ml Claude 스킬을 발견하세요. 61개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Optimizes AI responses using advanced prompting techniques like chain-of-thought, few-shot learning, and structured system designs.
Automates the transfer of HuggingFace models to RunPod Network Volumes via Google Colab to minimize GPU billing costs.
Standardizes machine learning experiment management using Hydra and OmegaConf configuration patterns.
Architects sophisticated LLM applications using LangChain's agents, memory systems, and complex chain integration patterns.
Explains machine learning model predictions and feature importance using mathematically grounded Shapley values and high-impact visualizations.
Empowers protein engineering and biological research through state-of-the-art ESM3 generative models and ESM C embeddings.
Implements production-ready architectural patterns and scalable designs for enterprise LangChain applications.
Queries and analyzes the OpenAlex database to search scholarly literature, track citations, and perform bibliometric analysis.
Designs and implements autonomous AI agents with sophisticated tool use, memory systems, and multi-agent orchestration.
Architects and implements robust autonomous AI agents with sophisticated tool use, memory systems, and multi-agent orchestration.
Creates, modifies, and analyzes professional Excel spreadsheets with automated formula recalculation and industry-standard financial formatting.
Architects and deploys production-grade computer vision systems including object detection, segmentation, and real-time video processing using state-of-the-art AI models.
Manages local LLM inference via Ollama to optimize model selection, prompt engineering, and token utilization for offline-first AI applications.
Trains and deploys complex neural network architectures within distributed E2B sandbox environments using Flow Nexus.
Optimizes reinforcement learning agents by refining validation gates, disabling harmful entropy adjustments, and implementing cross-run memory.
Provides a unified interface for rapid bioinformatics queries across 20+ genomic databases including Ensembl, AlphaFold, and NCBI.
Evaluates athlete health signals and training load to provide conservative pre-run activity recommendations.
Manages the discovery, safety guardrails, and shared contracts for Run-Smart AI coaching skills.
Performs structured, read-only analysis of pipeline results to diagnose model failures and map error patterns without modifying files.
Accesses and analyzes over 200 million AI-predicted protein structures for drug discovery and structural biology research.
Conducts comprehensive market analysis, industry trend tracking, and market sizing calculations to drive data-informed business decisions.
Automates end-to-end scientific research workflows from initial data analysis and hypothesis generation to publication-ready LaTeX manuscripts.
Automates professional Excel spreadsheet creation, financial modeling, and data analysis with error-free formula verification.
Performs comprehensive exploratory data analysis on over 200 scientific file formats to generate detailed quality reports and statistical summaries.
Performs high-performance genomic interval analysis, overlap detection, and machine learning tokenization using Rust-powered tools.
Enables programmatic PDF manipulation, data extraction, and document creation using professional Python and command-line tools.
Generates testable, evidence-based scientific hypotheses and experimental designs across multiple research domains.
Accesses and analyzes global public statistical data through the Data Commons knowledge graph and Python API.
Evaluates scientific research rigor by assessing methodology, statistical validity, and bias through established frameworks like GRADE and Cochrane ROB.
Generates comprehensive, 50+ page professional market research reports with consulting-grade analysis and high-fidelity visualizations.
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