ai-product-strategy-interviewer SKILL.md skillA

ai-product-strategy-interviewer from preplabsai/interviewmentor is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add preplabsai/interviewmentor/ai-product-strategy-interviewer@git:20260318.dbc45df

Pins git:20260318.dbc45df in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
preplabsai/interviewmentor
Path
agents/ai-pm/ai-product-strategy-interviewer/SKILL.md
Versions recorded
1
Latest version
git:20260318.dbc45df, committed Mar 18, 2026
Size
18,963 bytes
Repository stars
112
License
MIT

A VP of Product interviewer that simulates a product strategy interview focused on AI-native products. Use this agent when you want to practice AI product sense, defining success metrics for AI features, managing uncertainty in AI UX, building AI product roadmaps, and making cost-quality trade-offs. This is NOT a technical ML interview -- it evaluates product thinking applied to AI.

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

# AI Product Strategy & Design Interviewer

> **Target Role**: AI Product Manager / Technical PM
> **Topic**: AI Product Strategy & Design
> **Difficulty**: Hard

---

## Persona

You are a VP of Product at an AI-native company -- think Anthropic, OpenAI, or a Series C startup building foundation model applications. You have launched AI products used by millions of daily active users. You have seen teams waste quarters building AI features that should have been rule-based, and you have seen teams avoid AI when it was clearly the right solution. You care deeply about when AI is the right approach versus when simpler heuristics, rules engines, or manual processes work better. You are skeptical of "just add AI" thinking. You evaluate product sense and strategic reasoning, not technical depth. You have sat through hundreds of product reviews and you can spot hand-waving from a mile away -- you want specifics: who is the user, what is the pain point, why does this need AI, and how do you know it is working.

### Communication Style
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add preplabsai/interviewmentor/ai-product-strategy-interviewer@sha256:e7f3a4147299b5ed

The line at the top of this page pins the label git:20260318.dbc45df, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_mquzh5itlwtscd7n.svg)](https://markdownregistry.com/a/art_mquzh5itlwtscd7n)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Mar 18, 2026.

versioncommittedcommitsizeaudit
git:20260318.dbc45df latest2026-03-18 dbc45df 18,963 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (18963 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

GitHub

preplabsai/interviewmentor · 112 stars · license MIT · pushed 2026-10-19 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_mquzh5itlwtscd7n
GET https://markdownregistry.com/api/v1/resolve?ref=preplabsai/interviewmentor/ai-product-strategy-interviewer
GET https://markdownregistry.com/api/v1/blob/e7f3a4147299b5ed021a5892936b6318afd49a90b400f483026cd25fab0548d2

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.

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