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Skill

product-sense-interview-answer

@deanpeters Updated 2026-10-16

Structure a spoken PM product-sense answer with assumptions, segmentation, pain-point prioritization, and MVP tradeoffs. Use when practicing design, improve, or build-next interview questions.

ai-agentsai-product-managementclaude-skillspm-frameworksproduct-management

Install

With your agent

Install OMGSkills skill "deanpeters/product-manager-skills:product-sense-interview-answer" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.

Manual command

git clone https://github.com/deanpeters/Product-Manager-Skills /tmp/Product-Manager-Skills && ln -s /tmp/Product-Manager-Skills/skills/product-sense-interview-answer ~/.claude/skills/product-sense-interview-answer

From README

Purpose Help PM candidates and interview coaches structure product-sense answers that sound strong out loud, not just on paper. Use this when practicing prompts like "How would you improve X?", "Design a product for Y", or "What would you build next for Z?" This is not a memorize-and-recite script. It is a reasoning scaffold that prevents solution-jumping, forces real prioritization, and leaves the interviewer with a clean story they can follow. Input Works best with: The interview prompt you're practicing (e.g., 'How would you improve X?', 'Design a product for Y'). Also useful: The company/role you're interviewing for and how much time the answer gets. Anything supplied with the invocation itself — text after the skill name, a pasted context dump, or an appended ARGUMENTS: line — counts as answers already given. Use it and skip whatever it covers; don't re-ask. Arriving empty-handed? That works too. The skill asks for the prompt, then walks the reasoning scaffold with you out loud.