Ml System Design Interview | Agent Skills Atlas

About this skill

Coaches end-to-end ML system design interviews covering inference pipelines, recommendation systems, RAG, feature stores, and monitoring. Use for L6+ design rounds, ML architecture whiteboarding,

Quick start

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0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1

Content SHA-256: f77194518a839471ecdc6a047591ccb746e1db02d550587235568e3edfa55d3c

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Original listing metadata

Original name

ml-system-design-interview

Original description

Coaches end-to-end ML system design interviews covering inference pipelines, recommendation systems, RAG, feature stores, and monitoring. Use for L6+ design rounds, ML architecture whiteboarding,

About this listing

Category: Engineering
Reported license: MIT
Listing language (estimated): English
Review status: Not individually reviewed
Agent compatibility: Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.