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ML system design interview coaching v1.0.0

Use this resource to practice machine learning system design interviews

New

  • 521 downloads
  • 206 likes
  • 246 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install ml-system-design-interview-coach

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent walks you through an ML system design in seven stages within a 45-minute slot: framing, data, architecture, serving and monitoring. It compares serving options and flags what is expected at Staff level.

Mostly picked by

Updated November 2, 2026

Card for the “ML system design interview coaching” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: seven-stage framework, time budget and anti-patterns
  • references/: design templates, evaluation metrics and serving trade-off comparison

Good fit for

  • You have a senior or Staff ML design interview coming up
  • You need to present a RAG or recommendation system on a whiteboard

Not for

    Tags

    • interview
    • machine learning
    • system design
    • rag

    About

    You say

    “Coach me through a recommendation system design for a news feed.”

    Card for the “ML system design interview coaching” skill

    Skill published by curiositech under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to practice machine learning system design interviews
    3. Review and adjust the result

    Content preview

    Files

    • .claude-plugin/plugin.json0.5 KB
    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/evaluation-metrics-guide.md16.5 KB
    • references/ml-design-templates.md24.3 KB
    • references/serving-tradeoffs.md14.9 KB
    • SKILL.md13.7 KB

    Origin and licence

    Listed unmodified

    Author
    curiositech
    Source
    github.com/curiositech/some_claude_skills/tree/f49825290077e5fb46bb3e867dfa8a5b0161152b/.claude/skills/ml-system-design-interview
    Licence
    MIT

    Notice

    « ml-system-design-interview » (curiositech, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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