data science & ml向けのClaudeスキルを発見してください。61個のスキルを閲覧し、AIワークフローに最適な機能を見つけましょう。
Converts text into high-dimensional vector representations for semantic search, document similarity, and RAG pipelines.
Implements dynamic workflow routing, retry loops, and semantic branching for LangGraph-based AI agents.
Implements high-performance parallel execution patterns for LangGraph workflows using fan-out/fan-in and map-reduce strategies.
Implements Anthropic's contextual retrieval technique to improve RAG performance by prepending situational metadata to document chunks.
Curates high-quality evaluation datasets for AI models using multi-agent validation and automated quality scoring.
Enhances RAG retrieval quality by generating and embedding hypothetical answer documents to bridge vocabulary gaps between queries and data.
Implements advanced retrieval-augmented generation systems that integrate text and image data for hybrid search and visual question answering.
Integrates advanced vision-language models for image analysis, document understanding, and multimodal reasoning within Claude Code.
Powers local LLM integration and performance tuning for private, cost-effective AI development using Ollama.
Designs and manages robust state schemas for AI agent workflows using LangGraph best practices and modern design patterns.
Orchestrates unified AI memory by combining local knowledge graphs with semantic cloud search for persistent, high-context retrieval.
Improves semantic search accuracy by generating hypothetical answer documents to bridge vocabulary gaps in RAG pipelines.
Automates mandatory checks and fixes for R packages to ensure compliance with CRAN's strict ad-hoc submission requirements.
Manage R package function and argument lifecycles using Tidyverse principles and the lifecycle package.
Provides comprehensive guidance on visual encoding, chart selection, and technical implementation for building accessible, high-performance data representations.
Performs comprehensive data cleaning, statistical analysis, and professional visualization using Python and pandas.
Integrates MiniMax's advanced image analysis capabilities into the OpenClaw platform for detailed visual interpretation and recognition.
Automatically identifies and activates specialized machine learning and AI development skills within Claude Code.
Automates the discovery and activation of specialized Information Retrieval and search engine optimization skills for advanced data tasks.
Optimizes AI interactions by applying Anthropic's official prompt engineering best practices to improve accuracy, consistency, and structure.
Optimizes and structures prompts for Claude using Anthropic’s official best practices and advanced design patterns.
Analyzes China A-share stocks using value investing principles and comprehensive financial data screening.
Streamlines the machine learning lifecycle by automating algorithm selection, advanced feature engineering, and rigorous statistical experimentation.
Designs sophisticated multi-agent system architectures, orchestration patterns, and robust tool schemas for autonomous AI workflows.
Automates machine learning lifecycles by implementing robust pipelines, production-grade model serving, and continuous monitoring.
Performs professional financial modeling, DCF valuation, and budget variance analysis to drive data-led strategic decision-making.
Designs, implements, and optimizes production-grade Retrieval-Augmented Generation (RAG) pipelines for high-performance AI applications.
Search, download, and read academic papers from arXiv directly within Claude using a hybrid API and web scraping approach.
Performs deep research and automated financial signal tracking to identify market trends and structured insights.
Optimizes workforce management through data-driven insights, predictive attrition modeling, and automated HR metric analysis.
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