ml-new

What problem does it solve?

This Skill simplifies the process of initiating a complete 14-cycle Machine Learning pipeline, ensuring every step from Discovery to Sunset is executed efficiently.

Core Features & Use Cases

• End-to-End Pipeline: Manages all stages of an ML project, from initial discovery to sunset, with 14 distinct cycles.
• Specialist Collaboration: Coordinates input from various specialists across different domains such as data, ML fundamentals, architecture, etc.
• User-Friendly Activation: Triggered with a simple invocation phrase, making the ML pipeline initiation straightforward for users.

Quick Start

Initiate a new Machine Learning project with 'start a new ML project for $argument' using the /ml-new command.