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 robust, production-grade backtesting systems to validate trading strategies while eliminating common statistical biases.
Designs and implements sophisticated LLM applications using LangChain 1.x and LangGraph for advanced agent orchestration and state management.
Calculates comprehensive portfolio risk metrics and performance indicators for quantitative trading strategies.
Implements high-performance similarity search and vector database patterns for AI-driven applications.
Implements robust hybrid search systems by combining vector similarity and keyword-based retrieval for enhanced RAG performance.
Builds end-to-end MLOps pipelines to automate data preparation, model training, validation, and production deployment.
Automates time series forecasting by analyzing historical data trends and generating predictive models with confidence intervals.
Performs automated regression modeling and statistical analysis to uncover relationships between variables and predict numerical outcomes.
Optimizes machine learning model performance by automatically executing grid search, random search, and Bayesian optimization strategies.
Enhances deep learning model performance through automated architecture analysis, hyperparameter tuning, and efficient training strategies.
Automates the end-to-end machine learning lifecycle from data analysis and model selection to training and evaluation.
Architects and manages sophisticated multi-agent systems using the Vercel AI SDK v5 for coordinated AI workflows.
Generates cinematic video transitions and morphing animations between two keyframe images using Google’s Veo 3.1 via fal.ai.
Builds and manages complex LangGraph agent systems using a structured, 7-layer architectural pattern for scalable AI development.
Synthesizes established metrics into structured driver assessments and integrated analytical reports using the HEAD framework.
Manages fast, reproducible scientific Python environments by unifying the conda and PyPI ecosystems.
Evaluates time series forecasting models using rigorous cross-validation and backtesting techniques to ensure prediction accuracy.
Enhances TimeGPT time series forecasts by integrating external variables like holidays, weather, and events for improved predictive accuracy.
Performs comprehensive natural language processing tasks including sentiment analysis, keyword extraction, and topic modeling directly within Claude.
Generates professional data visualizations and plots using industry-standard Python libraries like Matplotlib, Seaborn, and Plotly.
Provides comprehensive guidance and command references for the Market Research plugin to streamline competitive analysis and trend reporting.
Optimizes high-volume workloads by leveraging Anthropic's Message Batches API for 50% cost savings on non-time-sensitive tasks.
Evaluates copper price breakout and pullback scenarios by analyzing cross-asset signals like global equity resilience and Chinese interest rate environments.
Tracks and audits AI research predictions over time to evaluate accuracy and predictor reliability.
Configures and troubleshoots embedding providers and models for the GrepAI semantic search tool.
Manage GrepAI semantic search workspaces including creation, project management, and indexing status monitoring.
Analyzes the emotional tone and polarity of text data to provide actionable insights from feedback, social media, and reviews.
Automates the design, configuration, and construction of custom neural network architectures like CNNs, RNNs, and Transformers through natural language.
Implements advanced LLM interaction patterns and optimization techniques to maximize Claude's performance and reliability.
Fine-tunes the TimeGPT model on custom time series data to maximize forecasting precision for domain-specific applications.
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