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Innovation Accounting

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ace3000chao
innovation-accounting

建立创新核算体系来追踪创业进展。当你想知道"我们是否在真正进步"、"如何向投资人证明进展"、"如何衡量不可预测的早期业务"时,使用此Skill。

Overview

Publisherace3000chao
Repositorybook2startup
Skill nameinnovation-accounting
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 Innovation Accounting 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/精益创业skills/skills/003-innovation-accounting
  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.

Use it in TypingMind

Enable Innovation Accounting 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 Innovation Accounting 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 Innovation Accounting 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.

Skill: 创新核算三步骤

Metadata

  • ID: leanstartup-003
  • 类型: framework
  • 来源: 《精益创业》第七章
  • 验证状态: ✅ 三重验证通过(V1: 3章详细论证, V2: 高频决策需求, V3: 反直觉)

R — Reading(原文引用)

"创新核算是为了提高创业成果,并让创新者们负起相应责任的一套新的核算制度。它关注那些乏味的细枝末节:如衡量进度、如何确定阶段性目标、以及如何优先分配工作。"

"如果我们被这些'总顾客数量'等等的虚荣指标误导,那么创新核算就无从谈起。"

I — Interpretation(方法论骨架)

传统商业用财务数据(收入、利润、成本)衡量进展,但早期创业根本没有这些数据——所以你需要一个全新的衡量体系。

创新核算的核心逻辑:

  1. 先有基准线:用MVP发布后的现状作为起点,不是和"完美未来"比,而是和"从零开始"比
  2. 追踪同期群:不是看"总用户数",而是看"这一批新用户中,有多少人表现出了期望行为"
  3. 用因果指标而非相关指标:知道为什么数字在变,而非只看数字涨跌

A1 — Past Application(书中案例)

IMVU的虚荣指标陷阱:他们每月增长,收入稳定,团队感觉良好。但同期群数据揭示:每个新用户群产生的收益从未提高。增长引擎早已停滞,但总数指标掩盖了真相。直到增长彻底停摆才被迫转型,损失了大量时间。

Grockit的指标改革:从"总用户数"改为"同期群激活率和留存率"后,团队才发现过去6个月做的大量"优化"实际上对顾客行为毫无影响。

A2 — Future Trigger(何时调用)

当你听到以下问题时,就应该调用这个Skill:

  • "我们怎么衡量创业进展?感觉每天都在忙,但不知道是否在进步"
  • "投资人说要看数据,我们该给他们看什么?"
  • "我们的用户数在涨,但收入也在涨,到底是好事还是坏事?"
  • "产品上线了,下周一开会,怎么衡量这周的工作是否有成效?"
  • "团队对进展有争议,如何客观裁决?"

E — Execution(可执行步骤)

步骤1:建立基准线

用MVP发布后第一周的数据作为基准线:

  • 活跃用户数(不是注册用户,而是真正使用的)
  • 激活率(注册用户中,有多少人完成核心行为)
  • 留存率(一周后还回来的比例)
  • 付费转化率(产生收入的比例)

记录下来,设为基准。

步骤2:追踪同期群,而非总数

每个周期(周/月):把新获得的用户作为一组,追踪这组人在后续周期的行为。

Week 1 新增100人 → Week 2:这100人中有30人回来(30%留存)
Week 2 新增120人 → Week 3:这120人中有35人回来(29%留存)

如果留存率稳定或提升,说明产品在进步。如果下降,说明引擎出了问题。

步骤3:区分可执行指标 vs 虚荣指标

虚荣指标(好看但不能指导行动):

  • 总用户数、总页面浏览量、总收入
  • "我们上个月新增了10000用户"

可执行指标(能告诉你该做什么):

  • 同期群激活率、同期群留存率
  • "Week 2的这批用户,只有15%完成了注册流程,需要优化注册体验"

问自己:这个数字能告诉我下一周该做什么吗?

步骤4:每月设定认知阶段性目标

不要只说"我们要增长",而是:

  • "本月目标:把新用户的激活率从15%提升到25%"
  • "验证假设:顾客不愿意激活是因为注册流程太复杂(3个步骤 → 目标1个步骤)"
  • "判断标准:激活率提升到25%即视为假设得到验证"

B — Boundary(何时不适用)

不适用场景原因
成熟业务(有稳定收入和用户)这时候用传统财务指标更合适
平台型业务(网络效应需要大量用户基础)早期平台需要先积累用户,再看转化
纯品牌/营销驱动业务这类业务的衡量逻辑不同

作者盲点提醒:创新核算需要团队对真相有承受能力。很多团队设置了核算框架,但当数据不好时,选择忽略或重新定义指标。真正的创新核算要求"对结果负责"的文化。

关联Skills

  • 同期群分析 — 创新核算的核心工具
  • 三个"可"衡量指标 — 判断指标是否有效的标准
  • 转型决策树 — 当创新核算显示持续停滞时,启动转型评估

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 Innovation Accounting AI skill do?

建立创新核算体系来追踪创业进展。当你想知道"我们是否在真正进步"、"如何向投资人证明进展"、"如何衡量不可预测的早期业务"时,使用此Skill。

Why use Innovation Accounting on TypingMind?

Because you install it once and use it with any model. Innovation Accounting 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 Innovation Accounting in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ace3000chao/book2startup/tree/master/精益创业skills/skills/003-innovation-accounting. 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 Innovation Accounting?

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 Innovation Accounting?

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

Is the Innovation Accounting 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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