data science & ml Claude 스킬을 발견하세요. 61개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Builds full-stack AI agents by integrating Google ADK backends with CopilotKit-powered React frontends and Gemini models.
Performs state-of-the-art diffusion-based molecular docking to predict 3D binding poses of small molecule ligands to protein targets.
Builds macro-economic models using leading and coincident indicators to automate Risk-On/Risk-Off switching strategies.
Performs constraint-based metabolic modeling and systems biology simulations using the COBRApy Python library.
Orchestrates complex multi-agent systems on AWS using the Bedrock AgentCore Agent-to-Agent (A2A) protocol.
Streamlines molecular machine learning workflows for drug discovery, property prediction, and materials science using the DeepChem library.
Facilitates automated protein design, sequence optimization, and wet-lab validation via a cloud-based laboratory platform.
Implements robust Retrieval-Augmented Generation (RAG) pipelines including document ingestion, hybrid search, reranking, and intelligent query routing.
Provides specialized guidance for molecular analysis, structural manipulation, and chemical property calculation using RDKit.
Optimizes LLM context windows to maximize reasoning quality while minimizing token costs and latency.
Simplifies the creation, orchestration, and deployment of production-grade AI agents using Google's Agent Development Kit.
Facilitates direct interaction with OpenAI GPT models through a command-line interface within the Claude environment.
Automates complex spreadsheet creation, financial modeling, and data analysis with formula integrity and industry-standard formatting.
Generates standardized Python scripts for analyzing model performance and creating publication-ready LaTeX tables and figures.
Standardizes machine learning model wrappers to provide a uniform interface for training, inference, and automated hyperparameter tuning.
Manages a complete 4-stage pipeline from Python scripts to interactive notebooks and automated markdown documentation.
Manages end-to-end data pipelines across four stages from raw source ingestion to AI-ready datasets.
Facilitates the interactive drafting and refinement of LaTeX research papers through structured incubator documents and canonical data tracking.
Integrates React and Vite applications with the Bodhi JS SDK to enable local LLM chat capabilities and seamless authentication.
Analyzes German U19 badminton ranking data from the DBV directly within Claude Code.
Streamlines machine learning model endpoint deployment through unified packaging, inference function design, and multi-target deployment.
Develops production-grade AI applications using the OpenAI Agents SDK with multi-agent handoffs, voice integration, and robust error prevention.
Manages and orchestrates end-to-end neural network pipelines across algorithmic, tuning, and deployment layers.
Processes and generates multimedia content including audio, video, images, and documents using the Google Gemini API.
Integrates Google's Gemini-3-pro-preview model into Claude Code for multimodal analysis, massive context processing, and real-time grounding.
Facilitates complex decision-making through a multi-agent debate simulation that analyzes problems from diverse cognitive perspectives.
Manages complex spreadsheet tasks including professional financial modeling, data cleaning, and automated formula validation.
Integrates the latest Google Gemini 3 and 2.5 models using the modern @google/genai SDK for multimodal processing and advanced reasoning.
Optimizes AI-assisted qualitative research through model selection guidance, cost estimation, and document processing strategies.
Compresses verbose agent memories into a dense, symbolic format for efficient knowledge retrieval and context management.
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