Data Science & ML Agent Skills

Embedding Strategies for RAG

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

Demographic Predictor

Predicts age, gender, and ethnicity from person data and images to enrich datasets and customer profiles.

Vector Index Tuning

Optimizes vector database performance by tuning HNSW parameters and implementing advanced quantization strategies for AI applications.

Aeon Time Series ML

Empowers Claude to perform advanced time series machine learning, including classification, forecasting, and anomaly detection using the specialized aeon toolkit.

Zarr Python Data Storage

Manages large-scale N-dimensional arrays with chunked storage, compression, and seamless cloud integration for scientific computing pipelines.

LLM Performance Evaluation

Implement comprehensive evaluation frameworks for AI applications using automated metrics, human feedback, and LLM-as-judge patterns.

LLM Evaluation Suite

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

Prompt Engineering Patterns

Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production environments.

Seaborn Statistical Visualization

Generates high-quality statistical graphics and data visualizations with seamless Pandas integration.

Workers AI Expert

Deploys and optimizes serverless AI models, embedding generation, and RAG architectures directly on Cloudflare’s edge network.

Bioinformatics Experiment Manager

Manages end-to-end bioinformatics research by orchestrating hypothesis-driven experiment planning, execution, and standardized lab notebook documentation.

PennyLane Quantum Machine Learning

Builds, trains, and optimizes hybrid quantum-classical models using automatic differentiation and hardware-agnostic circuit programming.

Embedding & Chunking Strategies

Optimizes vector search and RAG applications through intelligent embedding model selection and advanced document chunking strategies.

SimPy Simulation Engine

Builds process-based discrete-event simulations in Python to model complex systems with resource contention and time-based events.

Unit-Aware Computation

Performs precise unit conversions, dimensional analysis, and unit-aware arithmetic using the Pint library.

Python Project Structure Refactor

Transforms monolithic Python research code and notebooks into modular, production-ready package structures.

Molfeat Molecular Featurization

Transforms chemical structures into machine learning-ready numerical features using a library of over 100 featurizers and pretrained models.

Excel Analysis

Analyzes, cleans, and visualizes Excel spreadsheet data using Python libraries like pandas and openpyxl.

Scientific Critical Thinking

Evaluates scientific research rigor and evidence quality using standardized frameworks like GRADE and Cochrane.

OMERO Microscopy Integration

Manages and analyzes microscopy data through the OMERO Python API for scientific imaging and high-content screening workflows.

ETE Phylogenetic Toolkit

Provides comprehensive tools for phylogenetic tree manipulation, evolutionary analysis, and high-quality biological data visualization.

PyTorch Lightning

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

SQL Data Analyst

Performs advanced data analysis and business intelligence using specialized SQL patterns for statistical and exploratory insights.

RAG Implementation

Builds production-ready Retrieval-Augmented Generation (RAG) systems for LLM applications using vector databases and semantic search.

AI Core Command Center

Deploys and manages a self-hosted AI infrastructure stack including LLM proxies, inference servers, vector databases, and observability tools.

Data Visualization Expert

Implements high-performance, accessible, and perceptually accurate data visualizations using industry-standard algorithms and best practices.

Veo 3.1 Consistent Video Generation

Generates high-quality videos with consistent subject appearance using Google’s Veo 3.1 model and reference images.

KEGG Database Connector

Provides direct access to the KEGG REST API for biological pathway analysis, gene mapping, and metabolic research.

GraphPad Prism Automation

Automates scientific data analysis and graphing workflows using GraphPad Prism scripting and XML manipulation.

PyTorch Geometric (PyG)

Develops and trains Graph Neural Networks (GNNs) using the PyTorch Geometric library for irregular data structures and geometric deep learning.