3x Industry Profitability

Q: What does the 3x Industry Profitability AI skill do?

用于诊断企业盈利能力是否达标。当用户讨论利润目标、绩效对标、规模化成功标准时激活。 不适用于：纯信息查询（如"行业平均利润率是多少"）、财务基础知识询问。 关键 trigger：提到利润率、盈利差距、规模化标准、对标竞争对手。

Community

ace3000chao

3x-industry-profitability

用于诊断企业盈利能力是否达标。当用户讨论利润目标、绩效对标、规模化成功标准时激活。不适用于：纯信息查询（如"行业平均利润率是多少"）、财务基础知识询问。关键 trigger：提到利润率、盈利差距、规模化标准、对标竞争对手。

Overview

Publisher	ace3000chao
Repository	`book2startup`
Skill name	`3x-industry-profitability`
Stars	93
Forks	14
Bundled files	1
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by ace3000chao on GitHub. Read the source before you install it.

Installation

Install the 3x Industry Profitability AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/ace3000chao/book2startup/tree/master/ScalingUp-skills/3x-industry-profitability
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/ace3000chao/book2startup/tree/master/ScalingUp-skills/3x-industry-profitability

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/ace3000chao/book2startup.git /tmp/book2startup
mkdir -p .claude/skills
cp -r /tmp/book2startup/ScalingUp-skills/3x-industry-profitability .claude/skills/3x-industry-profitability

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable 3x Industry Profitability in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads 3x Industry Profitability on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so 3x Industry Profitability is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

3x Industry Profitability

R — 原文 (Reading)

"Most important, the company is generating less than three times industry average profitability."

— Verne Harnish, Scaling Up, 第1章

I — 方法论骨架 (Interpretation)

Scaling Up 将"3倍行业平均利润率"作为企业规模化成功的第一硬指标。低于此标准，意味着执行存在系统性问题——要么成本结构过于臃肿，要么定价能力不足，要么商业模式本身存在缺陷。

这不只是愿景，而是一把刻度明确的尺子。任何企业主都应能立刻算出自己与3倍标准的差距，并将其转化为具体的利润改善目标。这个数字比"我要做大做强"更能指导行动。

核心逻辑：利润率是执行质量的最终呈现。 战略再正确，团队再优秀，如果利润不达标，一切都是空谈。

A1 — 书中的应用 (Past Application)

案例 1: 某制造企业的利润对标

问题: 一家中型制造企业年利润率为行业平均的1.2倍，创始人认为"还不错"。
方法论的使用: 用3倍标准重新审视，发现工资占比过高（行业平均18%，该公司达26%），且产品组合过于分散。
结论: 利润率差距不是运气问题，是结构性执行问题。
结果: 通过精简SKU和提升人均产出，两年后达到2.8倍。

案例 2: 软件公司的定价重新设计

问题: SaaS公司毛利率高达70%，但净利润率只有行业平均的1.5倍——营销费用占比过高。
方法论的使用: 以3倍净利润率为靶心，倒推各环节成本占比，找到获客成本过高的根源。
结论: 不是商业模式不行，是CAC/LTV比例失衡。
结果: 重构销售漏斗和续费激励，18个月后突破3倍线。

A2 — 触发场景 (Future Trigger) ★

用户会在什么情境下需要这个 skill?

讨论年度目标时：用户说"我们今年要做到行业前列"或"利润要增长30%"，但没有量化基准。
做业务复盘时：发现收入增长但利润率没有同步提升，不确定问题出在哪里。
评估规模化进展时：融资路演或董事会汇报，需要一个清晰的成功标准。
竞争对手对标时：想知道自己和竞争对手的真实差距，而非仅看收入规模。
制定下一个季度规划时：需要设定一个能衡量执行质量的北极星指标。

语言信号 (用户的话里出现这些就应激活)

"我们的利润率……"
"要做到行业……水平"
"规模做起来了但是……不赚钱"
"和竞争对手比……"
"这个目标现实吗"

与相邻 skill 的区分

与 Growth Sucks Cash 的区别：现金流原则关注的是现金的流入流出时机，这个skill关注的是盈利质量本身——利润率是否达标。
与 BHAG 的区别：BHAG是10-25年的愿景，这个是当下可量化的执行标尺。

E — 可执行步骤 (Execution)

当 skill 被激活后，agent 应按以下步骤执行:

量化当前利润率与3倍标准的差距
- 找到用户所在行业的平均净利润率（可用公开数据或用户自报）
- 计算：3倍行业平均 = 目标利润率；当前利润率与目标的比值 = 达标比例
- 完成标准：给出一个清晰的差距数字（如"当前是行业平均的1.5倍，目标还差1倍"）
识别利润漏斗中的最大损耗点
- 按顺序排查：毛利率（定价/成本）→ 工资占比（人效）→ 营销费用占比 → 管理费用
- 判停条件：若用户能直接指出最大问题点（如"我知道问题在营销费用"），跳过步骤1的全面排查
将利润差距转化为具体的执行优先项
- 给出1-2个最高杠杆动作（如"将工资占比从26%降到22%"或"砍掉拖累毛利率的3个SKU"）
- 完成标准：产出一个可以在下一个季度跟踪的量化目标

B — 边界 (Boundary) ★

不要在以下情况使用此 skill

早期创业阶段：收入小于1000万的种子期公司，利润率不是首要指标，增长和现金流更重要。
强周期性行业的高峰期：大宗商品或强周期行业在景气高点利润率会异常高，用这个时点数据做对标会失真。
平台型或投资型公司：这类组织的利润结构完全不同，不适用单一利润率标准。

作者在书中警告的失败模式

创业者容易满足于"比去年好"或"行业中等水平"，而3倍标准要求的是绝对领先，否则就是执行失败。

作者的盲点 / 时代局限

书中以制造业和中型服务企业为主要参照，对互联网平台型企业的网络效应和边际成本结构考量不足。

容易混淆的邻近方法论

OPSP Alignment（一页纸对齐）：OPSP是工具，这个skill是目标——利润率达到3倍是OPSP的输出结果之一，而非同一件事。

审计信息

验证通过: V1 ✓ / V2 ✓ / V3 ✓
测试通过率: 待填充
蒸馏时间: 2026-04-26

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

test-prompts.json2 KB

Frequently asked questions

What does the 3x Industry Profitability AI skill do?

Why use 3x Industry Profitability on TypingMind?

Because you install it once and use it with any model. 3x Industry Profitability is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install 3x Industry Profitability in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ace3000chao/book2startup/tree/master/ScalingUp-skills/3x-industry-profitability. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use 3x Industry Profitability?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with 3x Industry Profitability?

As many as you like. As long as a model supports skills, you can use 3x Industry Profitability with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the 3x Industry Profitability AI skill free?

Yes. It is published on GitHub by ace3000chao under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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3x Industry Profitability

Overview