Data Science & ML Claude 스킬

LangChain Architecture Pro

Designs and implements sophisticated LLM applications using LangChain's agents, memory systems, and modular chain patterns.

NetworkX Graph Analysis

Analyzes and visualizes complex network structures and graph data within Python environments.

Vaex Big Data Analytics

Processes and analyzes massive tabular datasets exceeding available RAM using out-of-core DataFrames and lazy evaluation.

Vector Similarity Search Patterns

Implements high-performance similarity search and vector database patterns for RAG and semantic retrieval systems.

Risk Metrics Calculation

Calculates comprehensive portfolio risk metrics and performance indicators to ensure robust capital preservation and institutional-grade risk management.

Embedding Strategies

Select and optimize embedding models and chunking strategies for RAG, semantic search, and domain-specific vector applications.

LlamaFarm Project Scaffolding

Scaffolds production-ready RAG and document processing projects from curated LlamaFarm templates.

SimPy Discrete-Event Simulation

Builds process-based discrete-event simulations in Python for modeling complex systems with shared resources.

LlamaFarm Anomaly Detection

Detects outliers and anomalies in datasets using over 12 machine learning backends and automated training workflows.

Vector Index Optimizer

Optimizes vector search performance by tuning HNSW parameters, quantization strategies, and search infrastructure scaling.

ML Use Case Patterns

Implements production-ready machine learning pipelines for IoT monitoring, fraud detection, and document intelligence using LlamaFarm patterns.

Financial Statement Analysis

Analyzes financial statements to calculate essential performance ratios and provide investment insights for business evaluation.

OpenAlex Academic Search & Analysis

Query and analyze over 240 million scholarly works using the OpenAlex database for literature reviews and bibliometric studies.

Advanced Excel & Spreadsheet Manager

Enables professional-grade spreadsheet creation, financial modeling, and data analysis with automated formula verification and industry-standard formatting.

Tidy ITC Workflow

Implements tidy modeling principles for reproducible and standardized indirect treatment comparison (ITC) analyses in R.

Math Calculator

Performs fast and precise arithmetic calculations using a dedicated Python-based evaluation engine.

Financial Statement Analysis

Calculates and interprets key financial ratios and metrics from financial data to evaluate company performance and valuation.

Metabolomics Workbench Database

Accesses the NIH Metabolomics Workbench REST API to query metabolite data, standardized nomenclature, and experimental research studies.

Financial Statement Analysis

Automates the calculation and interpretation of key financial ratios from corporate financial statements to streamline investment analysis.

COSMIC Cancer Database

Accesses the COSMIC database to retrieve somatic mutations, cancer gene data, and mutational signatures for oncology research.

Benchling R&D Integration

Automates Benchling lab data management, registry entities, inventory tracking, and electronic lab notebook workflows using the Python SDK.

Marimo Notebook Assistant

Builds and optimizes reactive Python notebooks using marimo for interactive data analysis, dashboards, and machine learning workflows.

BlockRun AI Micropayments

Empowers Claude with image generation, real-time social data, and multi-model routing using autonomous micropayments.

Benchling R&D Integration

Integrates Benchling’s life sciences platform with Claude to automate laboratory workflows, manage biological registry entities, and sync inventory data via API.

DNAnexus Integration

Streamlines the development and management of genomics pipelines on the DNAnexus cloud platform.

Financial Modeling Suite

Constructs advanced investment models and risk assessment simulations using industry-standard DCF, Monte Carlo, and sensitivity analysis methodologies.

Scientific Brainstorming

Facilitates creative research ideation and exploratory scientific problem-solving through structured conversational partnership.

Marimo Development

Builds reactive Python notebooks, interactive dashboards, and data-driven applications using the marimo framework.

MAIC Methodology Guide

Provides expert methodological guidance and best practices for conducting Matching-Adjusted Indirect Comparisons (MAIC) in health economics and outcomes research.

ClinicalTrials.gov Research Assistant

Queries and analyzes the ClinicalTrials.gov database to retrieve comprehensive trial data, patient matching information, and drug intervention research.