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。
Provides comprehensive R-based methods for epidemiological analysis, study design, and causal inference.
Conducts comprehensive epidemiological analyses in R, covering study design, causal inference, and outbreak investigation.
Constructs personalized recommendation engines using collaborative and content-based filtering to deliver tailored user experiences.
Calculates core financial technical indicators including MA, MACD, RSI, and Bollinger Bands for stock market analysis and quantitative trading.
Analyzes Federal Reserve unamortized discount trends to identify similarities with historical financial crises using multi-indicator cross-validation.
Calculates implied gold prices and sovereign backing ratios to stress-test currency stability in scenarios where the USD loses its reserve status.
Automates the productionization and deployment of machine learning models into scalable environments using FastAPI, Docker, and Kubernetes.
Analyzes global nickel supply structures and quantifies market concentration risks through policy simulation and data-driven metrics.
Enforces high-performance Julia conventions for scientific computing by eliminating type instability and inefficient coding patterns.
Builds sophisticated financial models including DCF analysis, Monte Carlo simulations, and scenario planning for investment decisions.
Enforces production-quality R coding standards by eliminating generic AI patterns and implementing rigorous namespace and tidyverse conventions.
Analyzes and compares US CPI and PCE inflation metrics to identify underlying price acceleration risks and weighting discrepancies.
Integrates Google's Gemini models into your command-line workflow for instant Q&A, content generation, and structured data extraction.
Integrates Google's Gemini models directly into the terminal for one-shot Q&A, content generation, and text summarization.
Integrates Google's Gemini AI directly into your workflow for one-shot Q&A, summaries, and automated content generation.
Automates the end-to-end creation, evaluation, and deployment of machine learning classification models from natural language requests.
Quantifies Japan's interest-to-tax burden through real-time yield analysis and stress testing to identify fiscal risk zones.
Generates high-quality spectrograms and comprehensive audio feature visualizations directly from the command line.
Generates detailed spectrograms and multi-panel audio feature visualizations for technical analysis and documentation.
Generates high-quality audio spectrograms and multi-panel feature visualizations using the songsee CLI.
Transcribes audio files into text or JSON using OpenAI's Whisper API via simple terminal commands.
Implements standardized prompt engineering patterns to ensure reliable, secure, and high-performance LLM interactions.
Standardizes LLM performance evaluation through automated datasets, A/B testing, and advanced LLM-as-judge patterns.
Enables high-accuracy local speech-to-text transcription and translation without requiring external API keys.
Implements robust patterns for LLM-powered applications including async calls, streaming, token management, and resilient error handling.
Transcribes audio files into text and subtitles locally using OpenAI's Whisper models without requiring an API key.
Implements high-performance Retrieval Augmented Generation (RAG) workflows including semantic chunking, vector database integration, and advanced reranking.
Transcribes audio files into text locally using the OpenAI Whisper CLI without requiring an API key.
Identifies and removes duplicate or visually similar images in FiftyOne datasets using deep learning embeddings.
Builds production-ready LangChain chains and prompt templates using LangChain Expression Language (LCEL).
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