Data Science & ML Agent Skills

Cirq Quantum Computing

Builds, simulates, and executes quantum circuits on simulators and hardware providers using Google's open-source Cirq framework.

Claude Prompt Engineer

Generates high-performance, structured prompts using official Anthropic conventions and 2025 best practices.

OMERO Microscopy Integration

Manages and analyzes microscopy image data within the OMERO platform using the Python API for scientific workflows.

Ericsson RAN Feature Processor

Optimizes Ericsson RAN features through Managed Object intelligence and advanced parameter correlation analysis.

ESS-DIVE Identifier Toolkit

Facilitates seamless conversion between ESS-DIVE dataset identifiers and DOIs while providing geographic visualization tools.

Molfeat Molecular Featurization

Converts chemical structures into numerical representations for machine learning using over 100 specialized featurizers and pretrained models.

DeepChem Molecular ML

Simplifies molecular machine learning workflows for drug discovery, property prediction, and materials science using DeepChem's specialized toolsets.

ESS-DIVE Data Explorer

Searches, retrieves, and parses environmental science datasets from the Department of Energy's ESS-DIVE repository.

PennyLane Quantum Computing

Develops and optimizes quantum machine learning models and circuits across multiple hardware platforms using automatic differentiation.

RAN Optimizer

Optimizes Radio Access Network performance using autonomous swarm coordination and cognitive temporal reasoning.

deepTools NGS Analysis

Processes and visualizes high-throughput sequencing data to generate publication-quality genomic insights and quality control reports.

SimPy Discrete-Event Simulation

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

ESS-DIVE DeepDive Explorer

Queries the ESS-DeepDive fusion database to retrieve field-level metadata and dataset file information for environmental science research.

PubChem Database Explorer

Accesses and analyzes chemical data from the world's largest open chemical database using PUG-REST and PubChemPy.

Prompt Engineering Expert

Transforms Claude into a specialized prompt architect for designing, optimizing, and debugging complex AI instructions and agent behaviors.

Excel Automation and Financial Modeling

Automates professional spreadsheet creation, complex financial modeling, and advanced data analysis within Claude Code.

ToolUniverse Scientific Research

Empowers AI agents to perform complex scientific research tasks using a unified ecosystem of 600+ specialized tools and databases.

D3.js Data Visualization

Builds sophisticated, interactive, and data-driven visualizations using the D3.js library for custom charts and complex diagrams.

Multi-Agent System Orchestrator

Orchestrates sophisticated multi-agent systems with intelligent routing, handoffs, and collaborative workflows across AI providers.

Excel Data Analysis & Manipulation

Automates the analysis, processing, and visualization of Excel spreadsheets using Python-based data science libraries.

SymPy Symbolic Mathematics

Performs exact symbolic computation, calculus, and equation solving in Python to handle complex mathematical formulas without numerical approximation.

Qiskit Quantum Computing

Builds, optimizes, and executes quantum circuits and algorithms across various hardware providers and simulators.

Excel & Financial Modeling

Automates the creation, editing, and analysis of professional-grade Excel spreadsheets with precise formula management and financial modeling standards.

Statistical Analysis for Research

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

Dask Parallel Computing

Enables parallel and distributed computing for Python data science workflows to process datasets larger than available memory.

Seaborn Statistical Visualization

Generates professional, publication-quality statistical graphics and complex multi-panel data visualizations using Python's Seaborn library.

scvi-tools for Single-Cell Analysis

Facilitates advanced probabilistic modeling and analysis of single-cell omics data using deep generative models.

Stable Baselines3 Reinforcement Learning

Implements and optimizes reinforcement learning workflows using Stable Baselines3 to train reliable RL agents and design custom Gym environments.

Mass Spectrometry Analysis with PyOpenMS

Analyzes mass spectrometry data for proteomics and metabolomics workflows using the PyOpenMS library.

Scikit-learn ML Suite

Streamlines machine learning workflows in Python by providing expert guidance on scikit-learn algorithms, data preprocessing, and production-ready pipelines.