Pivot

Community

CymChad

pivot

转型，当数据证明假设错误时果断调整方向。当用户发现产品方向不对、需要调整战略、面临转型决策时使用此技能。

Overview

Publisher	CymChad
Repository	`book-skill-generator`
Skill name	`pivot`
Stars	72
Forks	5
Bundled files	Instructions only
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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by CymChad on GitHub. Read the source before you install it.

Installation

Install the Pivot 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/CymChad/book-skill-generator/tree/main/examples/精益创业/pivot
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 Pivot 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 Pivot 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 Pivot 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.

转型 (Pivot)

当数据证明假设错误时，果断调整方向。知道错了马上改，再大的代价都是最小的代价。

核心理念

快速转型，降低损失。 精益创业鼓励创业者在面对市场反馈时，既要灵活适应，也要有坚持的勇气。转型不是失败，而是基于学习的战略调整。

适用场景

数据证明产品方向不对
用户增长停滞
核心假设不成立
需要调整商业模式
面临转型还是坚持的决策

执行步骤

步骤 1: 识别转型信号

什么时候需要转型:

数据信号
- 用户增长停滞
- 留存率持续下降
- 转化率远低于预期
- 无法推动增长引擎
市场信号
- 用户不关心你的产品
- 竞争对手表现更好
- 市场需求发生变化
团队信号
- 团队士气低落
- 无法找到产品市场匹配
- 创新核算指标持续恶化

关键问题:

如果继续当前方向，能否实现愿景？
是否还有优化空间？
还是根本假设有问题？

步骤 2: 选择转型类型

常见的转型类型:

客户细分转型 (Customer Segment Pivot)
- 改变目标用户群体
- 产品不变，用户改变
- 案例：YouTube 最初是视频交友网站，后转型为视频分享平台
价值主张转型 (Value Proposition Pivot)
- 改变产品提供的价值
- 用户不变，产品改变
- 案例：Groupon 最初是团购平台，后转型为优惠券服务
渠道转型 (Channel Pivot)
- 改变产品分发渠道
- 产品不变，渠道改变
- 案例：从线下销售转为线上销售
商业模式转型 (Business Model Pivot)
- 改变盈利模式
- 案例：从免费增值转为订阅制
平台转型 (Platform Pivot)
- 从应用转为平台，或反之
- 案例：从单一产品转为生态系统
技术转型 (Technology Pivot)
- 用新技术实现相同价值
- 案例：从传统技术栈转为云原生

步骤 3: 设计转型方案

制定转型计划:

明确新方向
- 新的核心假设是什么？
- 新的目标用户是谁？
- 新的价值主张是什么？
评估资源需求
- 需要多少时间？
- 需要多少资金？
- 需要哪些人员？
制定转型路线图
- 第一阶段：验证新假设
- 第二阶段：开发新 MVP
- 第三阶段：测量和学习
设定转型里程碑
- 什么算转型成功？
- 什么算转型失败？
- 何时评估转型效果？

步骤 4: 执行转型

快速行动:

沟通转型决策
- 向团队解释原因
- 获得团队支持
- 明确新方向
保留有价值的部分
- 哪些功能可以保留？
- 哪些资源可以复用？
- 哪些认知可以应用？
快速验证新假设
- 开发新 MVP
- 推向市场
- 收集数据
监控转型进展
- 跟踪关键指标
- 定期评估效果
- 及时调整

步骤 5: 评估转型效果

判断转型是否成功:

新假设是否成立？
用户增长是否恢复？
关键指标是否改善？
团队士气是否提升？

决策:

成功：继续新方向
失败：再次转型或放弃

输出格式

转型决策文档:

markdown
## 转型信号
### 数据信号
- [指标 1]: [当前值] vs [预期值]
- [指标 2]: [当前值] vs [预期值]

### 市场信号
- [信号描述]

### 团队信号
- [信号描述]

## 转型决策
- 是否转型: [是/否]
- 转型原因: 
- 转型类型: [客户细分/价值主张/渠道/商业模式/平台/技术]

## 新方向
### 新核心假设
- 价值假设: 
- 增长假设: 

### 新目标用户
- 用户画像: 
- 用户需求: 

### 新价值主张
- 核心价值: 
- 差异化优势: 

## 转型计划
### 资源需求
- 时间: 
- 资金: 
- 人员: 

### 转型路线图
- 阶段 1: [时间] - [目标]
- 阶段 2: [时间] - [目标]
- 阶段 3: [时间] - [目标]

### 成功标准
- [指标 1]: 
- [指标 2]: 
- [指标 3]: 

## 保留内容
- 可复用功能: 
- 可复用资源: 
- 可应用认知:

注意事项

转型不是失败，而是基于学习的战略调整
不要因为沉没成本而拒绝转型
转型要快，犹豫不决会浪费更多资源
转型前要确保真的需要转型，而不是执行问题
转型后要给新方向足够的时间验证

经典案例

YouTube:

原方向：视频交友网站
转型：视频分享平台
原因：用户更愿意分享视频，而非交友

Groupon:

原方向：团购平台
转型：优惠券服务
原因：团购模式难以持续

Slack:

原方向：游戏开发
转型：企业协作工具
原因：内部协作工具比游戏更有价值

来源

本方法论来自《精益创业》(The Lean Startup) 全书，作者埃里克·莱斯 (Eric Ries)。

Frequently asked questions

What does the Pivot AI skill do?

转型，当数据证明假设错误时果断调整方向。当用户发现产品方向不对、需要调整战略、面临转型决策时使用此技能。

Why use Pivot on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/CymChad/book-skill-generator/tree/main/examples/精益创业/pivot. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pivot?

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 Pivot?

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

Is the Pivot AI skill free?

Yes. It is published on GitHub by CymChad 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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Overview

Installation

Install in TypingMind

Use it in TypingMind

Works with any AI model

Skill instructions

转型 (Pivot)

核心理念

适用场景

执行步骤

步骤 1: 识别转型信号

步骤 2: 选择转型类型

步骤 3: 设计转型方案

步骤 4: 执行转型

步骤 5: 评估转型效果

输出格式

注意事项

经典案例

来源

Frequently asked questions

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