Data Science & ML Claudeスキル

Aeon Time Series ML

Implements advanced time series machine learning tasks including forecasting, classification, and anomaly detection using a scikit-learn compatible framework.

SimPy Simulation Framework

Builds process-based discrete-event simulations in Python to model complex systems like manufacturing, logistics, and network traffic.

Datamol Cheminformatics

Simplifies molecular cheminformatics workflows with a Pythonic wrapper for RDKit, featuring structure standardization, descriptor calculation, and 3D conformer generation.

COBRApy Metabolic Modeling

Performs constraint-based reconstruction and analysis of metabolic models for systems biology and metabolic engineering.

DNAnexus Genomics Integration

Streamlines genomic data management and bioinformatics app development on the DNAnexus cloud platform using the dxpy Python SDK.

Crypto Hard Filter Simplification

Streamlines cryptocurrency asset selection by bypassing irrelevant equity filters and handling data gaps in financial datasets.

Academic Research Paper Finder

Finds and prioritizes academic research papers to streamline literature reviews and citation management directly within your workspace.

Genomic Tools and Algorithms in Rust (Gtars)

Simplifies high-performance genomic interval analysis and machine learning preprocessing using Rust-powered toolsets.

GeoPandas Spatial Analysis

Performs advanced geospatial vector data analysis, coordinate transformations, and spatial mapping within Python environments.

Prompt Engineering Expert

Architects high-performance LLM prompts and multi-agent systems using advanced reasoning patterns and optimization techniques.

Prompt Optimization Specialist

Refines and enhances AI prompts to improve model performance and output accuracy using a structured analysis framework.

UMAP Dimensionality Reduction

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

Scholar Evaluation Framework

Evaluates scholarly work using the ScholarEval framework to provide structured assessments, quantitative scoring, and actionable feedback across research dimensions.

Scientific Schematics

Generates publication-quality scientific diagrams and architectural schematics using AI-driven iterative refinement.

System Resource Detector & Advisor

Detects hardware resources and provides strategic architectural recommendations for computationally intensive scientific tasks.

Prompt Optimizer

Transforms raw prompts into optimized, production-ready instructions using advanced prompt engineering techniques and model-specific optimizations.

PyTorch Lightning Assistant

Streamlines deep learning development by organizing PyTorch code into scalable, boilerplate-free Lightning modules and automated training workflows.

PyMC Bayesian Modeling

Builds, fits, and validates sophisticated Bayesian models using PyMC's probabilistic programming interface.

Dask Parallel Computing

Scales Python workflows using parallel and distributed computing for datasets that exceed available memory.

LLM Fine-tuning Coach

Guides users through the end-to-end Large Language Model fine-tuning lifecycle using a coach-driven workflow.

Aeon Time Series Machine Learning

Provides specialized machine learning algorithms for time series tasks including forecasting, classification, and anomaly detection using scikit-learn compatible APIs.

R Causal Mediation Analysis

Performs advanced causal mediation analysis in R to decompose total effects into direct and indirect pathways across various statistical models.

Genomics & Bioinformatics Analysis

Performs comprehensive genomics and bioinformatics statistical analysis using R and Bioconductor packages.

R Pharmacokinetics & PD Modeling

Streamlines pharmacokinetic and pharmacodynamic modeling in R using industry-standard packages and best practices.

Meta-Analysis Methods in R

Implements comprehensive meta-analysis workflows in R, including effect size calculation, heterogeneity assessment, and publication bias detection.

GPT-OSS & vLLM Troubleshooter

Diagnoses and resolves openai_harmony.HarmonyError and tool calling failures when using GPT-OSS models with vLLM.

Llama Stack Code Reviewer

Streamlines code reviews for the Llama Stack repository by focusing on distributed system patterns, API compatibility, and automated testing fixtures.

Multi-Agent Architecture Patterns

Designs and implements sophisticated multi-agent architectures to overcome context limitations and handle complex task decomposition.

MOVA AI Bootstrap Generator

Generates static bootstrap packages to initialize MOVA AI models and environments without requiring external LLM calls.

Embedding Strategies for RAG

Optimizes embedding models and chunking strategies to enhance semantic search and RAG application performance.