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。
Builds sophisticated LLM applications and autonomous agents using the LangChain framework's core patterns and integrations.
Integrates 300+ AI models into Claude Code for specialized tasks, high-fidelity image generation, and cross-model reasoning.
Streamlines building high-performance OLAP applications using DuckDB, MotherDuck, and Parquet in Node.js and TypeScript.
Analyzes and extracts deep insights from images, videos, and audio files using advanced AI models.
Builds production-ready Apache Airflow DAGs using industry-standard patterns for orchestration and data engineering.
Implements comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking.
Transforms complex datasets into persuasive narratives and executive-ready presentations using proven storytelling frameworks.
Optimizes embedding model selection and chunking strategies to improve semantic search and RAG application accuracy.
Builds and automates end-to-end MLOps pipelines from data ingestion and preparation through model training, validation, and production deployment.
Builds production-grade Retrieval-Augmented Generation (RAG) systems using vector databases and semantic search for LLM applications.
Optimizes vector database indexes for production performance by balancing search latency, recall accuracy, and memory consumption.
Builds sophisticated LLM applications using the LangChain framework to implement autonomous agents, complex workflows, and persistent memory.
Builds production-grade backtesting systems for trading strategies while mitigating common biases and accounting for realistic market costs.
Builds and deploys healthcare machine learning models using specialized tools for EHR data, clinical tasks, and medical coding systems.
Calculates comprehensive portfolio risk metrics and performance indicators for quantitative trading strategies and investment management.
Optimizes Large Language Model performance through advanced reasoning patterns, few-shot learning, and structured prompt templates.
Implements real-time machine learning prediction patterns for high-throughput data streams with sub-second latency.
Evaluates research rigor by assessing methodology, statistical validity, and evidence quality using industry-standard frameworks like GRADE and Cochrane.
Identifies and mitigates the gambler's fallacy to improve decision-making in probabilistic and high-risk scenarios.
Implements sophisticated Retrieval-Augmented Generation architectures to ground AI responses in real-time external knowledge and eliminate hallucinations.
Predicts market price and quantity changes by analyzing the interaction between producer supply and consumer demand at equilibrium.
Implements continuous model updates and incremental learning patterns to handle evolving data streams without full retraining.
Models complex system dynamics using stocks, flows, and feedback loops to quantitatively predict behavior and test policy interventions.
Tracks experiment parameters, results, and environment snapshots to ensure full reproducibility and systematic iteration.
Leverages the data flywheel mental model to build compounding competitive advantages through automated machine learning and user-generated signals.
Conducts deep technical research and provides implementation guidance for AI-enabled software development including RAG, agentic workflows, and LLM architectures.
Delegates coding tasks and cross-model feedback to multiple AI providers through the OpenCode CLI bridge.
Manages complex Excel workbooks with automated formula creation, financial modeling standards, and data analysis.
Corrects probability judgments by integrating statistical base rates with case-specific information to avoid common cognitive biases.
Analyzes and applies Gaussian statistical patterns to data for improved prediction, quality control, and anomaly detection.
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