Data Science & ML Claudeスキル

PyTorch Docstring Formatter

96,867

Generates and formats standardized PyTorch docstrings following Sphinx and reStructuredText conventions.

Financial Modeling Suite

29,670

Constructs advanced financial models including DCF analysis, sensitivity testing, and Monte Carlo simulations for professional investment valuation.

Startup Financial Modeling

25,583

Builds comprehensive 3-5 year financial models with revenue projections, burn rate calculations, and scenario planning for early-stage startups.

Excel & Spreadsheet Automation

24,064

Automates the creation, editing, and analysis of Excel spreadsheets with professional formatting, formula integrity, and financial modeling standards.

Vector Search & Similarity Patterns

23,194

Implements efficient similarity search and vector database patterns for semantic retrieval and RAG systems.

Trading Backtesting Frameworks

23,194

Builds robust, bias-aware backtesting systems to validate quantitative trading strategies and produce reliable performance estimates.

LangChain Architecture Design

23,194

Architects sophisticated LLM applications using LangChain's modular framework for agents, memory, and complex workflows.

ML Pipeline Workflow

23,194

Orchestrates end-to-end MLOps pipelines from data preparation and model training through to production deployment and monitoring.

Vector Index Tuning

23,194

Optimizes vector index performance for production environments by balancing latency, recall, and memory usage.

Apache Spark Optimization

23,194

Optimizes Apache Spark jobs through advanced partitioning, memory management, and shuffle tuning strategies.

Prompt Engineering Patterns

23,194

Optimizes LLM performance and reliability through advanced prompting techniques like few-shot learning, chain-of-thought, and modular templates.

Hybrid Search Implementation

23,194

Combines vector similarity and keyword-based search to improve retrieval accuracy and recall in RAG systems.

Risk Metrics Calculation

23,194

Calculates comprehensive portfolio risk metrics and performance indicators for quantitative finance and investment management.

LLM Evaluation Framework

23,194

Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and systematic benchmarking.

Embedding Strategies for RAG

23,194

Optimizes embedding model selection and chunking strategies for semantic search and Retrieval-Augmented Generation (RAG) applications.

RAG Implementation Framework

23,194

Builds robust Retrieval-Augmented Generation (RAG) systems using vector databases and semantic search to ground AI responses in custom knowledge.

Data Storytelling for Analytics

23,194

Transforms raw data and complex analytics into persuasive business narratives and structured executive presentations.

LangChain Architecture

23,139

Builds sophisticated LLM applications by architecting modular chains, autonomous agents, and robust memory management systems using the LangChain framework.

Backtesting Frameworks

23,139

Builds robust, production-grade backtesting systems for trading strategies while mitigating common pitfalls like look-ahead and survivorship biases.

Spark Optimization

23,139

Optimizes Apache Spark workloads through advanced partitioning, memory management, and shuffle tuning strategies.

Hybrid Search Implementation

23,139

Implements search architectures that combine vector similarity and keyword matching to maximize retrieval precision and recall.

Similarity Search Patterns

23,139

Implements efficient similarity search and vector database patterns for semantic search, RAG retrieval, and recommendation engines.

LLM Evaluation

23,139

Implements comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking to ensure performance and quality.

Prompt Engineering Patterns

23,139

Optimizes LLM performance and reliability through advanced techniques like few-shot learning, chain-of-thought reasoning, and structured prompt templates.

Embedding Strategies

23,139

Optimizes semantic search and RAG applications through intelligent model selection, chunking strategies, and embedding quality evaluation.

RAG Implementation

23,139

Builds Retrieval-Augmented Generation (RAG) systems for LLM applications using vector databases, semantic search, and advanced retrieval strategies.

ML Pipeline Workflow

23,139

Build and orchestrate production-grade MLOps pipelines from data preparation through model training, validation, and deployment.

Airflow DAG Patterns

23,110

Builds production-ready Apache Airflow pipelines using industry best practices for orchestration, testing, and error handling.

Vercel AI SDK Assistant

21,406

Builds production-grade AI-powered applications, agents, and chatbots using the Vercel AI SDK for TypeScript.

LlamaIndex RAG Framework

16,312

Simplifies the creation of data-centric LLM applications by providing patterns for RAG, document ingestion, and vector indexing.