data-ai-skills

What problem does it solve?

This skill accelerates the creation and deployment of data-driven AI systems by unifying data science, ML, and MLOps tasks in Python.

Core Features & Use Cases

• Unified Python-based ML workflow management: data prep, model training, evaluation, and deployment.
• End-to-end data engineering support with ML integrations, including prompt-driven AI components and LLMs.
• Use Case: Build a reproducible ML pipeline that ingests data, trains a model with MLflow tracking, and exposes an inference API.

Quick Start

Install the skill via marketplace or clone this repository, then configure domain and framework parameters (defaults: ml and pytorch). Load and activate the skill in your environment, and run a simple example to verify setup, such as training a small model and logging metrics.