Data Science & ML Claudeスキル

KEGG Database Pathway Analysis

16

Accesses the KEGG REST API to perform biological pathway analysis, gene-pathway mapping, and metabolic network research.

Dask Parallel Computing

16

Enables parallel and distributed computing in Python to scale pandas and NumPy operations beyond memory limits.

HuggingFace Model Inference

16

Provides procedural guidance for setting up HuggingFace model inference services using Flask, covering environment setup, model caching, and robust API implementation.

PathML

16

Analyzes whole-slide pathology images and multiparametric imaging data using computational tools for tissue segmentation, spatial graphs, and machine learning.

AI Memory Systems & Architecture

16

Designs and implements persistent long-term memory systems for AI agents using vector databases, knowledge graphs, and RAG architectures.

Aeon Time Series Toolkit

16

Builds and deploys machine learning models for complex time series tasks like forecasting, classification, and anomaly detection.

Gemini CLI Integration

16

Integrates Google Gemini CLI to provide Claude with real-time web search, deep codebase analysis, and multi-model code generation capabilities.

Scientific Context Initialization

16

Configures workspace environments to automatically prioritize established scientific research patterns, database access protocols, and package usage guidelines.

Epidemiologist Analyst

16

Analyzes disease patterns and health events using specialized epidemiological frameworks and surveillance methods to inform public health interventions.

Model Evaluation Benchmark

16

Orchestrates comprehensive AI model evaluation benchmarks to measure efficiency, code quality, and workflow adherence.

Computer Scientist Analyst

16

Analyzes software systems and algorithms through computer science principles to optimize performance, scalability, and security.

DrugBank Database

16

Accesses and analyzes comprehensive pharmaceutical data from DrugBank to perform drug discovery research, interaction analysis, and target identification.

ML Model Leaderboard Navigator

16

Provides systematic guidance for identifying, verifying, and extracting current performance data from machine learning benchmarks and embedding leaderboards.

Multi Source Data Merger

16

Merges heterogeneous data sources into unified datasets using field mappings and priority-based conflict resolution.

Economist Analyst

16

Analyzes market events and policy changes using rigorous economic frameworks and diverse schools of thought.

Portfolio Optimization

16

Optimizes financial computations and portfolio risk metrics by implementing high-performance Python C extensions for large-scale numerical data.

Scientific Peer Review Toolkit

16

Provides a systematic framework for evaluating the methodology, statistics, and integrity of scientific manuscripts and grant proposals.

Scientific Hypothesis Generator

16

Generates testable, evidence-based scientific hypotheses and experimental designs from observations or literature.

Statsmodels Statistical Analysis

16

Performs rigorous statistical modeling, econometric analysis, and hypothesis testing using Python's statsmodels library.

Political Science Analyst

16

Analyzes global events and policy changes using established political science frameworks and theoretical models.

UMAP Dimensionality Reduction

16

Performs fast, scalable non-linear dimensionality reduction and manifold learning for high-dimensional data visualization and clustering.

Physicist Analyst

16

Evaluates technical feasibility and system dynamics using fundamental physical laws, thermodynamics, and quantitative modeling.

Seaborn Statistical Visualization

16

Generates publication-quality statistical graphics and complex multi-panel data visualizations using the Seaborn Python library.

Economist Analyst

16

Analyzes market events, policy changes, and incentive structures through diverse economic frameworks and schools of thought.

CSV Data Summarizer

16

Automatically analyzes CSV files to generate comprehensive statistical summaries and tailored visualizations without requiring user prompts.

Excel Analysis & Automation

16

Automates complex Excel data processing, visualization, and formatting using powerful Python libraries like Pandas and OpenPyXL.

AI Model Evaluation Benchmark

16

Orchestrates end-to-end model evaluation benchmarks to measure efficiency, code quality, and workflow adherence across different AI models.

Statistical Analysis Toolset

16

Performs comprehensive hypothesis testing, regression analysis, and Bayesian statistics with automated assumption checking and APA-style reporting.

Prompt Engineering Patterns

16

Implements advanced prompting strategies like Chain-of-Thought and few-shot learning to optimize LLM performance and output reliability.

Environmentalist Analyst

16

Provides expert ecological analysis and sustainability assessments using systems thinking and conservation biology principles.