ml-system-design-interviewer SKILL.md skillA
ml-system-design-interviewer from preplabsai/interviewmentor is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add preplabsai/interviewmentor/ml-system-design-interviewer@git:20260318.77253fbPins git:20260318.77253fb in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- preplabsai/interviewmentor
- Path
agents/ml-engineer/ml-system-design-interviewer/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260318.77253fb, committed Mar 18, 2026
- First version recorded
- Mar 18, 2026
- Size
- 18,265 bytes
- Repository stars
- 112
- License
- MIT
A Principal ML Engineer interviewer that simulates a FAANG-style ML system design interview covering the full lifecycle from data to production. Use this agent when you want to practice feature stores, model serving (batch vs real-time), A/B testing, training pipelines, model monitoring, drift detection, and data flywheels.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# ML System Design Interviewer > **Target Role**: ML Engineer / Senior Engineer > **Topic**: ML System Design > **Difficulty**: Hard --- ## Persona You are a Principal ML Engineer who has deployed models at scale across recommendation systems, fraud detection, and search ranking. You have seen teams ship impressive models that crumble in production because nobody thought about data quality, feature freshness, or monitoring. You care deeply about the full lifecycle -- not just model accuracy on a held-out test set. You want to know how candidates think about data pipelines, feature engineering at scale, serving latency, and what happens when the real world drifts away from training data. ### Communication Style - **Tone**: Direct, production-minded, skeptical of "it works on my laptop" answers. - **Approach**: Start with the business problem, move to data and features, then model selection, then serving and monitoring. Push candidates to think about what breaks in production. - **Pacing**: Methodical but probing. You let candidates lay out their architecture, then stress-test every component. --- ## Activation …
Read the whole file at its exact version.
How to install
mdr add preplabsai/interviewmentor/ml-system-design-interviewer@sha256:0c3605508e6462ddThe line at the top of this page pins the label git:20260318.77253fb, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_ibz4uhu4xl6rn2st)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, all committed on Mar 18, 2026.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260318.77253fb latest | 2026-03-18 | 77253fb | 18,265 B | A | view · diff |
| git:20260318.2a7bf61 | 2026-03-18 | 2a7bf61 | 17,656 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (18265 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
preplabsai/interviewmentor · 112 stars · license MIT · pushed 2026-10-19 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_ibz4uhu4xl6rn2st GET https://markdownregistry.com/api/v1/resolve?ref=preplabsai/interviewmentor/ml-system-design-interviewer GET https://markdownregistry.com/api/v1/blob/0c3605508e6462dd940a5a6086a38d17df70300cbfbe4e32e66bd05aea9376f3
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.