Data Science & ML Claude 스킬

Statistical Analysis Toolset

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

AI Memory Systems & Architecture

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

Build Cython Extensions

Provides systematic guidance for building and installing Cython extension packages while resolving compatibility issues with modern Python and NumPy versions.

Scientific Resource Detection & Strategy

Identifies system hardware capabilities and provides data-driven recommendations for optimizing computationally intensive tasks like model training and large-scale data processing.

STRING Database Analysis

Queries the STRING database to analyze protein-protein interaction networks and perform comprehensive functional enrichment for systems biology.

SAM Cell Segmentation

Implements advanced image segmentation pipelines using SAM and MobileSAM to extract high-precision cell boundaries and polygon coordinates from images and structured data.

Scientific Critical Thinking

Evaluates scientific rigor by assessing research methodology, statistical validity, and potential biases using industry-standard frameworks.

ARC-AGI Merge & Pattern Recognition

Manages the merging of conflicting git branches and the development of robust, generalized pattern recognition algorithms for ARC-AGI grid transformation tasks.

Multi Source Data Merger

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

Portfolio Optimization

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

Scanpy Single-Cell Analysis

Performs comprehensive single-cell RNA-seq data analysis and visualization using the Scanpy Python framework.

Aeon Time Series Toolkit

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

LLM Inference Batching Scheduler

Optimizes LLM inference workloads on compilation-based accelerators by balancing request batching, shape selection, and padding overhead to minimize costs while meeting latency requirements.

Scientific Peer Review Toolkit

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

Video Processing

Guides frame-level analysis and event detection in videos using OpenCV to ensure accurate motion tracking and algorithm validation.

Adaptive Rejection Sampler

Implements efficient adaptive rejection sampling algorithms for generating random samples from log-concave probability distributions.

Bayesian Network Fitting and Modification

Streamlines Bayesian Network workflows by guiding structure learning, parameter estimation, causal interventions, and network sampling using industry-standard libraries.

Open Targets Scientific Database

Queries the Open Targets Platform to identify therapeutic drug targets, evaluate disease associations, and analyze clinical trial data.

Qwen3-TTS MLX Optimizer

Optimizes Qwen3-TTS performance on Mac MLX with specialized parameter tuning, voice design presets, and integration guides.

Genomic Interval ML (Geniml)

Facilitates machine learning on genomic interval data, including embeddings for BED files and single-cell ATAC-seq analysis.

Model Interpretability with SHAP

Provides comprehensive guidance and implementation patterns for explaining machine learning model predictions using SHAP values.

Bioinformatics Toolkit (gget)

Accesses 20+ genomic databases for rapid bioinformatics queries, sequence analysis, and protein structure prediction.

Protein Modeling with ESM

Provides advanced protein language model capabilities for sequence generation, structure prediction, and functional design using ESM3 and ESM C.

PathML Computational Pathology

Automates computational pathology workflows by processing whole-slide images and multiparametric data for machine learning analysis.

Therapeutics Data Commons (PyTDC)

Provides AI-ready drug discovery datasets, standardized benchmarks, and molecular oracles for therapeutic machine learning.

Aeon Time Series ML

Performs advanced time series machine learning tasks including classification, forecasting, and anomaly detection using the specialized Aeon toolkit.

Pymoo Optimization

Optimizes complex systems using multi-objective evolutionary algorithms and Pareto front analysis in Python.

Gemini Image Generation

Generates high-quality visual content from text descriptions and image references using the Gemini API.

Pysam Genomic Data Processing

Processes genomic datasets including alignment, variant, and sequence files using a Pythonic interface to htslib.

RAG System Architect

Architects production-grade Retrieval-Augmented Generation (RAG) systems and vector search infrastructures for knowledge-grounded AI applications.