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Cash Over Profit

Community
ace3000chao
cash-over-profit

当用户在做重大财务决策时只关注利润指标、快速增长期的企业主担心现金流、 或是面临"账上有利润但发不出工资"这种利润-现金错位困境时,应调用此skill。 不适用于:非营利组织讨论、纯投资组合管理、日常小额收支平衡。 Trigger信号:"我们明明盈利为什么还是缺钱"、"增长太快是不是有问题"、 "怎么判断该不该扩张"、"账期管理怎么做"、"账上有钱为什么还 融不到资"。

Overview

Publisherace3000chao
Repositorybook2startup
Skill namecash-over-profit
Stars
93
Forks
14
Bundled files
1
LicenseMIT
Links
  • 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 Cash Over Profit AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ace3000chao/book2startup/tree/master/ScalingUp-skills/cash-over-profit
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

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/cash-over-profit .claude/skills/cash-over-profit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cash Over Profit 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 Cash Over Profit 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 Cash Over Profit 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.

Cash Over Profit(现金流比利润更重要)

R — 原文 (Reading)

"Paying attention to how every decision affects cash flow as you would to revenue and profitability."

— Verne Harnish, Scaling Up, 第12章 The Cash


I — 方法论骨架 (Interpretation)

Scaling Up的核心财务原则:利润是会计概念,现金流是企业命脉。

Harnish将"增长吃现金"(Growth Sucks Cash)定位为"创业引力的第一定律"——增长越快,现金消耗越多。这是因为:

  • 收入增长需要先行投入(人员、设备、库存、应收账款)
  • 会计准则允许将某些支出资本化,但现金流出是实打实的
  • 客户付款往往在提供服务之后(账期),而员工工资必须当月发放

为什么现金流比利润更重要?

企业因为现金流断裂而死亡的比例远高于因为利润为负而死亡的比例。

维度利润现金流
本质会计核算结果实际可用资金
时效滞后(按月/季度出账)实时
可操控性可通过会计政策调节难以作假
企业死亡原因低利润→慢性失血现金流断裂→猝死

实操原则:

  1. 决策时同时评估"利润影响"和"现金流影响"
  2. 关注"经营现金流"而非仅"净利润"
  3. 建立现金缓冲(至少覆盖3-6个月固定成本)

A1 — 书中的应用 (Past Application)

案例 1: 某电商公司的"盈利假象"

  • 问题: 公司年报显示净利润率8%,但CEO总觉得手头紧张,找不到原因
  • 方法论的使用: 分析现金流量表发现:
    • 应收账款周转天数从45天增至90天(客户账期延长)
    • 库存周转天数从30天增至60天(爆款SKU备货增加)
    • 表面盈利是因为收入确认时点早,但现金回笼大幅延迟
  • 结论: 利润是正的但经营现金流是负的,高速增长掩盖了现金危机
  • 结果: 建立现金转换周期监控仪表盘,CEO开始每周审视DSO和库存周转

案例 2: 某连锁餐饮的"翻台率陷阱"

  • 问题: 门店每月盈利,但总部账上的现金持续减少,加盟商分成拖欠
  • 方法论的使用: 诊断发现:
    • 直营门店营收确认和现金到账有时间差(信用卡结算T+3,团购券核销滞后)
    • 加盟商账期长达60天
    • 扩张新店需要预付租金和设备款,但新店收入需要爬坡期
  • 结论: 快速扩张中的餐饮连锁,现金流管理比单店利润更重要
  • 结果: 引入"单店现金回收周期"指标,暂停新店扩张直到现有门店现金回收周期缩短至9个月以内

案例 3: 某SaaS公司的"ARR增长陷阱"

  • 问题: ARR(年度经常性收入)翻倍增长,但经营现金流持续为负,融资越来越难
  • 方法论的使用: 分析发现:
    • 客户账期从年付改为月付(销售为完成合同额让步)
    • 研发团队扩张速度远超收入增长
    • 销售佣金在签约时全额发放,但客户付款按月
  • 结论: ARR增长是收入指标,但现金流入是月付节奏,整体现金流在恶化
  • 结果: 调整销售策略(鼓励年付+给予折扣),同时将研发团队增速控制在收入增速的60%

A2 — 触发场景 (Future Trigger) ★

用户会在什么情境下需要这个 skill?

  1. 公司"盈利"但现金流紧张 — 财务报告显示利润为正,但发工资、付供应商时捉襟见肘
  2. 高速扩张期对资金耗尽感到焦虑 — 业务快速增长但融资窗口不确定,想知道扩张的边界在哪里
  3. 大客户签约后账期拉长 — 签了大客户合同但付款要180天,现金流突然紧张
  4. 供应链账期谈判失误 — 给了客户更长账期但供应商端没有相应拉长,资金三角债出现
  5. 准备融资但不确定公司估值 — 投资人在看现金流而非利润,但创始团队不知道如何解释

语言信号 (用户的话里出现这些就应激活)

  • "我们明明盈利为什么还是缺钱"
  • "增长太快是不是有问题"
  • "怎么判断该不该扩张"
  • "账期管理怎么做"
  • "账上有钱为什么还融不到资"
  • "合同签了但钱什么时候到账"

与相邻 skill 的区分

  • 与 growth-sucks-cash 的区别: growth-sucks-cash强调"增长是现金消耗的第一来源",本skill强调"现金流管理优先于利润管理"。两者是同一原则的两面,但growth-sucks-cash更强调增长侧,本skill更强调决策侧。
  • 与 data-driven-decisions 的区别: data-driven-decisions泛指数据驱动决策,本skill专指财务决策中"现金流优先于利润"的框架。两者是包含关系,本skill是财务决策专项框架。

E — 可执行步骤 (Execution)

当 skill 被激活后,agent 应按以下步骤执行:

  1. 现金流健康度三维诊断

    • 完成标准:计算三个关键指标
      • 经营现金流 = 净利润 + 非现金支出 - 营运资本变化
      • DSO(应收账款周转天数)= 期末应收账款 / 平均日销售额
      • DPO(应付账款周转天数)= 期末应付账款 / 平均日采购额
    • 诊断标准:经营现金流连续2季度为负、DSO>90天、DPO<30天任一情况触发警报
    • 判停条件:若三项指标均正常,说明当前现金流健康,此skill框架可暂时搁置
  2. 建立现金流预警仪表盘

    • 完成标准:每周CEO/CFO看的dashboard包含3个核心数字:银行余额(本周)、预计月末余额、预计3个月后余额
    • 触发规则:预计月末余额 < 固定成本的3倍 → 立即启动现金流拯救会议
    • 判停条件:若企业处于稳定期(收入增速<20%)且现金储备充足,可将监控频率降为月度
  3. 现金影响决策评估

    • 完成标准:所有重大决策(招聘、新店、新产品、账期政策)必须有"现金流影响评估"一栏
    • 模板:决策名称 → 对现金流的一次性影响 → 对现金流的持续性影响 → 回收周期
    • 判停条件:若企业现金储备>12个月固定成本,决策的现金流评估可以简化

B — 边界 (Boundary) ★

不要在以下情况使用此 skill

  • 非营利组织:非营利组织的财务逻辑与商业组织不同,"现金流优先"原则不直接适用
  • 早期PMF验证阶段:创业初期需要大量现金投入来验证产品-市场匹配,此时看现金流可能误导决策——初期可以容忍负现金流,只要投资人有耐心且资金来源明确
  • 项目制业务:按项目里程碑收款的公司(如建筑、咨询),现金流节奏与本skill描述的模式不同,需要定制化分析

作者在书中警告的失败模式

  • 只看P&L不看Cash Flow Statement:创始人只看损益表,但银行只看现金流——P&L盈利但Cash Flow为负时,银行不会给你贷款
  • 错误的安全感:认为"增长可以解决一切"——但如果增长消耗现金的速度快于现金流入,再快的增长也会加速死亡

作者的盲点 / 时代局限

  • Harnish对"现金流"主要从经营视角讨论(DSO/DPO/库存周转),对"融资现金流"(股权/债权融资)的讨论有限——对于高速成长的独角兽来说,融资现金流往往是比经营现金流更重要的生命线
  • 数字时代的现金流工具(实时银行API、自动应收账款提醒)让现金流监控成本大幅降低,但书中未充分讨论

容易混淆的邻近方法论

  • 盈亏平衡分析(Break-even Analysis):盈亏平衡点告诉你"需要多少收入才能覆盖成本",本skill告诉你"需要多少现金才能活下去"——前者是利润视角,后者是生存视角
  • OKR财务指标:OKR中的Financial KR通常关注收入/利润率,但Harnish强调"OKR中的财务目标不能只看利润,必须看现金流"——这是对OKR应用的补充

相关 skills (阶段 3 填充)

  • depends-on: {}
  • contrasts-with: {growth-sucks-cash, data-driven-decisions}
  • composes-with: {}

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.

Frequently asked questions

What does the Cash Over Profit AI skill do?

当用户在做重大财务决策时只关注利润指标、快速增长期的企业主担心现金流、 或是面临"账上有利润但发不出工资"这种利润-现金错位困境时,应调用此skill。 不适用于:非营利组织讨论、纯投资组合管理、日常小额收支平衡。 Trigger信号:"我们明明盈利为什么还是缺钱"、"增长太快是不是有问题"、 "怎么判断该不该扩张"、"账期管理怎么做"、"账上有钱为什么还 融不到资"。

Why use Cash Over Profit on TypingMind?

Because you install it once and use it with any model. Cash Over Profit 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 Cash Over Profit in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ace3000chao/book2startup/tree/master/ScalingUp-skills/cash-over-profit. 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 Cash Over Profit?

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 Cash Over Profit?

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

Is the Cash Over Profit 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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