ml-system-design-interview
About
This skill coaches senior-level (L6+) machine learning system design interviews, covering architectures like recommendation systems, RAG, and inference pipelines. It's designed for whiteboarding practice, analyzing serving trade-offs, and end-to-end ML architecture discussions. Activate it for ML system design rounds, but not for coding, behavioral questions, or theory quizzes.
Quick Install
Claude Code
Recommendednpx skills add erichowens/some_claude_skills -a claude-code/plugin add https://github.com/erichowens/some_claude_skillsgit clone https://github.com/erichowens/some_claude_skills.git ~/.claude/skills/ml-system-design-interviewCopy and paste this command in Claude Code to install this skill
GitHub Repository
Frequently asked questions
What is the ml-system-design-interview skill?
ml-system-design-interview is a Claude Skill by erichowens. Skills package instructions and resources that Claude loads on demand, so Claude can perform ml-system-design-interview-related tasks without extra prompting.
How do I install ml-system-design-interview?
Use the install commands on this page: add ml-system-design-interview to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.
What category does ml-system-design-interview belong to?
ml-system-design-interview is in the Design category, tagged design.
Is ml-system-design-interview free to use?
Yes. ml-system-design-interview is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.
Related Skills
Use the executing-plans skill when you have a complete implementation plan to execute in controlled batches with review checkpoints. It loads and critically reviews the plan, then executes tasks in small batches (default 3 tasks) while reporting progress between each batch for architect review. This ensures systematic implementation with built-in quality control checkpoints.
This skill dispatches a code-reviewer subagent to analyze code changes against requirements before proceeding. It should be used after completing tasks, implementing major features, or before merging to main. The review helps catch issues early by comparing the current implementation with the original plan.
This skill provides a comprehensive guide for developers to connect MCP servers to Claude Code using HTTP, stdio, or SSE transports. It covers installation, configuration, authentication, and security for integrating external services like GitHub, Notion, and custom APIs. Use it when setting up MCP integrations, configuring external tools, or working with Claude's Model Context Protocol.
This skill helps developers choose between Claude Code Web and CLI interfaces based on task analysis, then enables seamless session teleportation between these environments. It optimizes workflow by managing session state and context when switching between web, CLI, or mobile. Use it for complex projects requiring different tools at various stages.
