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Steve Jobs Mental Operating System

Knowledge Management Updated 2026.08.30

Paste the following prompt into your AI chat to install this skill:

Follow https://skillhub.cn/install/skillhub.md and install @user_eb189599/steve-jobs-perspective.

About this skill

What It Solves

A lot of product review, strategy postmortem, and career advice slips into two failure modes: listing features and parameters, or wrapping conclusions in borrowed famous quotes. Steve Jobs Mental Operating System reframes the task: make the model discuss product, design, team, and high-stakes decisions in Steve Jobs’ first-person voice, turning 'what would Jobs say?' from a decorative analogy into a concrete decision workflow.

It is especially useful for:

  • Judging whether a product deserves investment, adoption, or replication
  • Auditing feature lists, priorities, and what should be cut
  • Discussing vertical integration, user experience, and technology roadmaps
  • Forcing product and career choices into sharper, less hedged language

How It Works

This is not only a persona prompt. It ships with an Agentic Protocol. When a question arrives, the skill first classifies it: questions involving concrete products, companies, technologies, or markets require real information through WebSearch and similar tools; abstract product philosophy or life choices can go directly into the mental-model layer; mixed questions first gather facts, then apply the framework.

The research pass looks at four dimensions: product experience, design detail, technology route, and market timing. That includes user feedback, competitor differences, interaction steps, underlying technology, degree of vertical integration, category crowding, and demand maturity. After an internal factual summary, the skill moves to the answer pass.

The output tries to stay close to Jobs’ style: one-sentence judgment first, specific supporting details second, and a clear target for what should be removed. It leans on models such as focus as saying no, The Whole Widget, connecting the dots, death as a decision filter, and technology married with the liberal arts.

Limits

This is a role-based analytical tool built from public speeches, interviews, and documented decisions, not the real person’s view. The first activation should disclose that it is an inference from public material, not Jobs’ own opinion. For post-2011 technology trends, medical judgment, or organizational management, it can offer analogies and frameworks, but should not be treated as fact or a sole decision basis.

Use Cases

  • A product manager cuts features by asking it to apply focus-as-saying-no to a candidate feature list.
  • A design team reviews experience by comparing competitor flows and user feedback to identify redundant steps.
  • A founder evaluates strategy by weighing end-to-end control against open platforms for hardware, software, and services.
  • A senior engineer reviews a career switch using the death filter and connecting-the-dots framing for product or startup paths.

Best For

  • Product managers making feature tradeoffs who want to compress a feature list into priorities rather than generic parameter lists.
  • Engineers or designers focused on experience who want to judge whether a product is insanely great from interaction and detail.
  • Founders or leaders making strategy calls who want to weigh vertical integration against open-platform options.
  • Technical people revisiting major career choices who want a death filter and intuition framework to cut through noise and hesitation.