Data Science & ML Agent Skills

Scikit-learn Machine Learning Toolkit

Implements comprehensive machine learning workflows including classification, regression, and data preprocessing using the industry-standard Scikit-learn library.

Scanpy Single-Cell Analysis

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

NeuroKit2 Biosignal Processing

Processes and analyzes physiological signals including ECG, EEG, EDA, and respiratory patterns for research and clinical applications.

DNA Assembly

Designs and validates DNA assembly strategies, including Golden Gate and Gibson assembly, with precise requirements for Type IIS restriction enzyme primers.

PyDESeq2 Gene Expression Analysis

Identifies differentially expressed genes from bulk RNA-seq counts using the PyDESeq2 statistical framework.

scvi-tools

Empowers single-cell omics analysis with deep generative models for dimensionality reduction, batch correction, and multimodal data integration.

Metabolomics Workbench Database

Accesses the NIH Metabolomics Workbench to query metabolite data, study metadata, and standardized nomenclature for biomarker discovery.

DNA Insert Primer Design

Designs and validates specialized primers for DNA sequence insertion into plasmids using site-directed mutagenesis protocols.

LatchBio Integration

Builds and deploys serverless bioinformatics workflows using the Latch Python SDK and cloud infrastructure.

Dask Parallel Computing

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

Pymoo Optimization

Implements advanced multi-objective and many-objective optimization frameworks using state-of-the-art evolutionary algorithms and Pareto analysis.

PyHealth

Develops, tests, and deploys healthcare-specific machine learning models using electronic health records, clinical prediction tasks, and medical coding systems.

Letta Agent Designer

Provides architectural guidance and best practices for designing memory-intensive AI agents using the Letta framework.

TorchDrug Scientific Computing

Accelerates drug discovery and molecular research by providing specialized tools for graph neural networks, protein modeling, and chemical property prediction.

Pysam Bioinformatics Toolkit

Simplifies genomic data processing by providing a Pythonic interface for reading, writing, and manipulating SAM, BAM, CRAM, and VCF files.

LangChain Architecture

Architects sophisticated LLM applications using the LangChain framework with support for autonomous agents, memory management, and RAG patterns.

MuJoCo MJCF Tuning

Optimizes MuJoCo MJCF simulation files to improve computational performance while maintaining high physics accuracy and stability.

Arboreto GRN Inference

Infers gene regulatory networks from expression data using high-performance machine learning algorithms like GRNBoost2 and GENIE3.

AnnData Genomics Toolkit

Manipulates and manages AnnData objects for single-cell genomics workflows, including scRNA-seq data processing and file management.

Adaptive Rejection Sampler

Provides specialized guidance for implementing efficient Adaptive Rejection Sampling algorithms for log-concave probability distributions.

ENA Database Access

Accesses the European Nucleotide Archive to retrieve genomic sequences, raw reads, and metadata for bioinformatics pipelines.

DQMC Data Analysis

Analyzes Determinant Quantum Monte Carlo (DQMC) simulation data to extract physical observables with statistical error estimates.

UniProt Database Search & Mapping

Accesses the UniProt knowledgebase to search, retrieve, and map protein sequence and functional information.

LLM Evaluation Suite

Implements comprehensive evaluation frameworks for LLM applications using automated metrics, human feedback, and comparative benchmarking.

HuggingFace Model Inference

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

Semantic PDF Research

Indexes PDF document collections using LightRAG to enable semantic search and context-aware research within Claude Code.

LLM Project Development

Builds production-grade LLM applications using structured pipelines, task-model fit analysis, and deterministic architecture patterns.

PyTDC Drug Discovery ML

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

Treasure Data Parent Segment Analysis

Queries and analyzes Treasure Data CDP parent segments to uncover deep customer insights and behavioral patterns.

ML Model Leaderboard Navigator

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