data science & ml Claude 스킬을 발견하세요. 61개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Manages persistent AI agent memory and reasoning patterns using high-performance vector storage and learning algorithms.
Train, deploy, and manage distributed neural networks across sandboxed E2B environments using multiple architectures and federated learning.
Refines and enhances AI prompts to improve model performance and output accuracy using a structured analysis framework.
Architects high-performance LLM prompts and multi-agent systems using advanced reasoning patterns and optimization techniques.
Finds and prioritizes academic research papers to streamline literature reviews and citation management directly within your workspace.
Extracts structured data from complex PDFs, scanned documents, and multi-column layouts using the advanced Docling engine and Granite vision-language models.
Implements persistent, high-performance memory and learning patterns for AI agents using AgentDB.
Explores datasets and generates interactive visualizations in marimo notebooks using Polars and Plotly Graph Objects.
Systematizes the process of discovering, profiling, and importing CSV data into relational databases with comprehensive quality checks.
Implements rigorous evaluation strategies for LLM applications using automated metrics, human-in-the-loop feedback, and systematic benchmarking.
Optimizes high-volume workloads by leveraging Anthropic's Message Batches API for 50% cost savings on non-time-sensitive tasks.
Analyzes asset price deviations from long-term exponential trends to identify historical extremes and macro market regimes.
Conducts professional market research and competitive analysis using industry-standard McKinsey frameworks directly within your terminal.
Parses complex documents, extracts structured data, and edits files using natural language instructions via the Reducto CLI.
Optimizes and iterates high-signal prompts for OpenAI GPT-5 models to ensure structured, reliable, and hallucination-free outputs.
Applies automated mathematical transformations to temperature data based on dynamic orchestration rules.
Constructs personalized recommendation engines using collaborative and content-based filtering to deliver tailored user experiences.
Automates advanced spreadsheet creation, financial modeling, and data analysis with support for dynamic formulas and professional formatting.
Enables high-speed multi-modal analysis and document summarization using Gemini Flash within the Claude Code environment.
Integrates Google's Gemini Pro into Claude Code for deep reasoning, complex architectural analysis, and specialized domain research.
Calculates core financial technical indicators including MA, MACD, RSI, and Bollinger Bands for stock market analysis and quantitative trading.
Enhances Claude's problem-solving capabilities using advanced search strategies like Beam Search and Monte Carlo Tree Search.
Converts audio and video files into accurate text transcripts with precise word-level timestamps using WhisperX.
Organizes Python research code by implementing consistent logging, metadata tracking, and result comparison workflows.
Automates the productionization and deployment of machine learning models into scalable environments using FastAPI, Docker, and Kubernetes.
Executes and evaluates LLM experiments using Langfuse datasets and LLM-as-judge evaluators to measure prompt performance and model quality.
Refines AI agent performance through structured optimization loops, automated evaluation contracts, and persistent multi-lever tuning.
Streamlines the lifecycle of LLM prompts by enabling versioning, deployment, and management within the Langfuse observability platform.
Defines precise optimization goals and regression guardrails for autonomous agent loops using normalized 0-1 scoring.
Automates the iterative refinement of AI agent performance through contract-driven evaluation and multi-lever optimization protocols.
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