dotnet-mcaf-ml-ai-delivery

What problem does it solve?

This Skill helps teams apply structured ML/AI delivery guidance, ensuring consistent planning, testing, and validation throughout ML project lifecycle stages.

Core Features & Use Cases

• Guided Workflows: Follow detailed steps for data exploration, feasibility, experimentation, and deployment to reduce ambiguity and ensure best practices.
• Documentation & Validation: Produce comprehensive project artifacts, validate ML stages, and incorporate responsible AI principles.
• Use Case: A data science team can utilize this Skill to systematically plan and track their model experiments, ensuring all safety and compliance checks are in place before production deployment.

Quick Start

Load the guidance documents and run the Ralph Loop to brainstorm steps, then plan and execute each stage methodically.