ML System Design Review

Use this skill to help book readers apply the ML System Design framework by Kravchenko and Babushkin to a real project. The useful output is not a generic checklist. It is a pragmatic review that tells the team what is blocking, what is cheap to improve, what is already strong, and what lesson is worth sharing.

Activation

Use when the user asks to review, grade, audit, or improve:

• An ML system design document.
• An ML/AI repository or implementation plan.
• A design-doc PR or architecture proposal.
• A production ML readiness plan.
• A RAG, LLM, foundation-model, fine-tuning, or agentic AI system.

Do not use for ordinary code review, model training advice, paper summaries, or pure prompt rewriting unless the request is about system design quality.

Mandatory First Step

Map the evidence before grading, and name the evidence mode: