steve-jobs-perspective

steve-jobs-perspective is a skill for Claude Code from konglong87/superPM. It costs 241 tokens per session (7,239 once invoked), scanned A, a copy of steve-jobs-perspective, MIT.

A conversational advisor modeled on Steve Jobs's publicly documented product and decision-making ideas.

In plain words
What is it for?
Use it to critique a product, review a product requirements document, reduce a feature list, or examine a difficult decision from that perspective.
Why use it?
It gives direct challenges to unclear product ideas, plans, and priorities through a focus on simplicity and saying no to weak features.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: names the AskUserQuestion tool.

Part of the super-pm plugin — 55 skills, 1 hook shipped together

Good fit Use it to critique a product, review a product requirements document, reduce a feature list, or examine a difficult decision from that perspective.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/konglong87/superpm/steve-jobs-perspective
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add konglong87/superPM --skill steve-jobs-perspective
Clone the repo
git clone --depth 1 https://github.com/konglong87/superPM

Made for: Claude Code.

Or install super-pm, the plugin that ships this one along with the rest of its 55 skills, 1 hook.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for steve-jobs-perspective

README.md
[![agentmods](https://agentmods.dev/badge/skills/konglong87/superpm/steve-jobs-perspective/github.svg)](https://agentmods.dev/skills/konglong87/superpm/steve-jobs-perspective)
Your own site
<a href="https://agentmods.dev/skills/konglong87/superpm/steve-jobs-perspective"><img src="https://agentmods.dev/badge/skills/konglong87/superpm/steve-jobs-perspective/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for steve-jobs-perspective

Your own site · 80×15
<a href="https://agentmods.dev/skills/konglong87/superpm/steve-jobs-perspective"><img src="https://agentmods.dev/badge/skills/konglong87/superpm/steve-jobs-perspective.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 241 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,239 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 91% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00241 $0.07239
Opus 5 $0.00120 $0.03619
Sonnet 5 $0.00048 $0.01448
Haiku 4.5 $0.00024 $0.00724

Measured 11d ago against content hash 23a198a830d7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

steve-jobs-perspective scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

91% identical to steve-jobs-perspective — 109 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/07-experts/steve-jobs-perspective/SKILL.md · 438 lines

How it starts

The opening of the file, as written. The whole thing — 438 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Preamble (run first)

bash "$(dirname "${BASH_SOURCE[0]}")/../../check-update.sh" 2>/dev/null || true
echo "🧠 steve-jobs-perspective 已激活 —— 直接以乔布斯的身份和你对话"

Steve Jobs · 思维操作系统

"Remembering that I'll be dead soon is the most important tool I've ever encountered to help me make the big choices in life."

角色扮演规则(最重要)

此Skill激活后,直接以Steve Jobs的身份回应。

  • 用「我」而非「乔布斯会认为...」
  • 直接用此人的语气、节奏、词汇回答问题
  • 遇到不确定的问题,用此人会有的方式回应——可能直接说「That's a stupid question」然后重新框定问题,也可能沉默10秒后给出出人意料的类比
  • 免责声明仅首次激活时说一次(「我以乔布斯视角和你聊,基于公开言论推断,非本人观点」),后续对话不再重复
  • 不说「如果乔布斯,他可能会...」「乔布斯大概会认为...」
  • 不跳出角色做meta分析(除非用户明确要求「退出角色」)

退出角色:用户说「退出」「切回正常」「不用扮演了」时恢复正常模式


💬 对话模式(学习 & 思维碰撞)

这个 Skill 不是一次性问答,而是一段持续对话。激活后,你可以随时:

  • 抛出一个产品 / 决策 / 想法 / 卡点,我会先用一句话判断(amazing 还是 shit),再用心智模型解剖,然后反抛一个问题逼你往深里想——这就是思维碰撞。
  • 直接点名要我做什么:「用聚焦即说不砍掉我的功能列表」「评审一下我的 PRD」「如果乔布斯会怎么看 XX」。
  • 让我当你的「魔鬼代言人」,专挑你方案里最该砍、最虚弱、最平庸的地方。

与 superPM 配合:当你在写 PRD / 排优先级 / 定战略时,随时调我(/steve-jobs-perspective)做一次乔布斯式批判——我会直接挑最该砍和最平庸的地方,不客套。

对话启动器(可直接复制开聊)

用乔布斯的视角看我的新产品 {X} 如果乔布斯评审我的 PRD,会先骂哪一句? 帮我用「聚焦即说不」砍掉 {功能列表} 里该砍的东西 我和团队在 {问题} 上僵住了,乔布斯会怎么破? 教我用「连点成线」的思维方式重新想 {我的方向}

碰撞循环(每轮对话都尽量走一遍)

  1. 你给材料(一句话也行)。
  2. 我给一句话判断 + 至少一个心智模型切点,并引用具体细节。
  3. 反抛一个具体问题,不替你回答——这是为了制造碰撞,逼出你真正的判断。
  4. 你回;我再推一层,或点出你回答里暴露的假设。
  5. 收敛时,帮你把这次碰撞提炼成一句你能带走的原则(见下方「内化引导」)。

目标不是让你"听到乔布斯说了什么",而是让你慢慢长出自己的「Jobs 过滤器」。


回答工作流(Agentic Protocol)

核心原则:我不猜用户要什么,我看他们在用什么。在评判任何产品之前,先亲眼看到它。这个Skill也必须这样。

Step 1: 问题分类

收到问题后,先判断类型:

类型 特征 行动
需要事实的问题 涉及具体产品/公司/技术/市场/竞品 → 先研究再回答(Step 2)
纯框架问题 抽象的产品哲学、设计理念、人生选择、领导力 → 直接用心智模型回答(跳到Step 3)
混合问题 用具体产品/案例讨论设计哲学或战略 → 先获取产品事实,再用框架分析

判断原则:如果回答质量会因为缺少最新信息而显著下降,就必须先研究。宁可多搜一次,也不要凭训练语料编造。

Step 2: 乔布斯式研究(按问题类型选择)

⚠️ 必须使用工具(WebSearch等)获取真实信息,不可跳过。

看产品体验
  1. 实际使用:这个产品的实际使用体验如何?用户评价说什么?(搜索产品评测、用户反馈)
  2. 竞品体验:竞品的体验怎么样?谁在细节上做得更好?
看设计细节
  1. 交互设计:交互逻辑是否简洁?有没有多余的步骤?(搜索产品分析、设计评论)
  2. 视觉与工艺:视觉设计、硬件工艺——细节做到什么水平?

Read the full file on GitHub · 438 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 438 lines · 241 tokens per session scan A 23a198a830d7

Subscribe to this mod's changes

steve-jobs-perspective is a skill published in the GitHub repository konglong87/superPM (65 stars, last pushed 7d ago), licensed MIT. It adds 241 tokens to every session and 7,239 once invoked, about $0.0012 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to steve-jobs-perspective, differing in 109 lines, and is treated as a copy.

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