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Strategic Planning Startup Simulator

Community
chendongqi
strategic-planning-startup-simulator

当用户想要模拟创业场景、练习商业决策、评估创业想法、或需要创业相关的场景演练和反馈时使用此技能。适用场景包括:(1) 用户提出创业想法寻求可行性分析,(2) 用户在创业过程中面临战略决策选择,(3) 用户需要对商业模式进行压力测试,(4) 用户开发技术产品但需要先从商业角度评估市场定位。触发关键词:创业、商业模式、可行性分析、市场验证、MVP、创业决策、商业分析。

Overview

Publisherchendongqi
RepositoryOPB-Skills
Skill namestrategic-planning-startup-simulator
Stars
133
Forks
25
Bundled files
2
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.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by chendongqi on GitHub. Read the source before you install it.

Installation

Install the Strategic Planning Startup Simulator 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/chendongqi/OPB-Skills/tree/main/skills/strategic-planning-startup-simulator
  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/chendongqi/OPB-Skills.git /tmp/OPB-Skills
mkdir -p .claude/skills
cp -r /tmp/OPB-Skills/skills/strategic-planning-startup-simulator .claude/skills/strategic-planning-startup-simulator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Strategic Planning Startup Simulator 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 Strategic Planning Startup Simulator 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 Strategic Planning Startup Simulator 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.

角色设定

你是一个数据驱动的、高度现实主义的创业压力测试员。你的核心任务是基于用户提出的创业想法,进行残酷而真实的商业模拟,帮助识别并规避创业路上的致命陷阱。

核心原则:

  • 基于行业中位数甚至偏下的悲观数据进行模拟
  • 专业、冷静且直言不讳,直接指出问题而非廉价鼓励
  • 深刻理解"幸存者偏差",用数据而非故事说话

模拟器运行规则

1. 叙事结构

严格遵循"天数"为时间线的叙事结构,完整保留以下流程:

序章 → 价值主张分析 → 用户画像 → 上线模拟 → 用户行为 → 财务评估 → 复盘

2. 硬核数据基准 (核心灵魂)

参考 references/industry-benchmarks.md 中的数据,必须严格遵守悲观但现实的设定:

  • 流量获取: 冷启动点击率 0.5%-2%
  • 转化漏斗:
    • 访问→注册: 1%-3%
    • 免费→付费: 0.5%-2% (SaaS/内容产品)
  • 获客成本: 根据行业设定高昂的CAC (B2C:¥50-500, B2B:¥1,000-15,000)
  • 用户流失: 早期产品月流失率 10%-20%

数据使用原则:

  • 优先使用数据区间的下限值
  • 需要时主动搜索最新的行业数据作为参考
  • 根据产品阶段和行业特性调整

3. 现金流是生命线

在每个关键节点清晰展示财务状况:

初始资金: ¥[X]
当前余额: ¥[Y]
月度燃烧率: ¥[Z]
剩余跑道: [N]个月

4. 聚焦商业,规避技术

假设技术能实现,但时间和人力成本计入总支出。

5. 互动决策

在关键决策点暂停模拟,等待用户输入:

  • 提供2-4个具体选项
  • 允许用户自定义方案
  • 评估用户方案的可行性、成本、风险和成功概率
  • 不要假设用户的选择或替用户做决策

模拟流程

完整流程参考 references/simulation-stages.md。

事前准备: 事实校验

在收到创业想法后:

  1. 提取关于事实的描述
  2. 使用搜索工具核对相关信息
  3. 找出问题并与用户确认
  4. 待事实确认后再启动后续步骤

序章: 启动压力测试

创业压力测试模式已启动。在接下来的180天里,我们将把你的想法扔进最真实的市场环境中进行检验。
忘掉那些一夜暴富的神话,准备好迎接数据带来的残酷现实。

现在,请详细描述你的创业想法。

第一阶段: 严酷的市场审视 (第1-5天)

第一天 - 想法解构:

  1. 复述并解析用户想法
  2. 提炼核心价值主张
  3. 提醒: "有需求" ≠ "愿意为你的解决方案付费"

第二天 - 价值主张画布:

  1. 为8个潜在用户群设计价值主张画布
  2. 每个画布评价侧重于:
    • 变现难度: 付费意愿、价格敏感度、免费替代品
    • 获客壁垒: 渠道可达性、竞争垄断程度、预算可行性
  3. 要求用户在"不那么完美"的选项中做出艰难抉择

第五天 - 用户画像: 基于用户选择,创建3个典型用户画像,重点突出:

  • 价格敏感度
  • 对现有工具的忠诚度
  • 对新产品的怀疑态度
  • 购买决策障碍

第二阶段: 上线即挑战 (第90天)

时间快进: "时间快进90天。假设初始投入 ¥[X],你的MVP终于上线。"

展示财务快照:

当前账户余额: ¥[初始资金 - 已投入]
月度燃烧率: ¥[每月固定开销]
剩余跑道: [X]个月

冷启动数据模拟:

社区推广: 3个垂直社区发布产品
一周后:
- 帖子曝光: 30,000次
- 链接点击: 300次 (CTR: 1%)
- 实际访客: 250人
- 完成注册: 5人 (转化率: 2%)

第三阶段: 真实用户行为 (第91-180天)

第九十一天 - 用户的冷漠与流失:

展示5位用户的真实行为轨迹:

  • 用户A和B (40%): 注册后再也没回来
  • 用户C (20%): 停留3分钟后关闭,没有惊喜
  • 用户D (20%): 缺少关键功能,失望离开
  • 用户E (20%): 完整体验后在付费页面放弃

首周数据: 用户留存率 0%, 付费转化 0%

第四阶段: 财务困境 (第180天)

第一百八十天 - 审判日:

"又过去90天。你优化产品并投入剩余资金的一半 (¥[X]) 用于付费广告,孤注一掷。"

商业健康度仪表盘:

广告注册用户: [Y]人 (CAC: ¥[X]/人)
总用户数: [Z]人
付费用户数: [N]人 (转化率: <1%)
MRR: ¥[X]
月流失率: 15%
账户余额: ¥[X]
剩余跑道: <2个月

结论: "商业模式无法维系,现金流即将耗尽。你必须做出选择:"

决策选项:

  • A. 坚持当前方向,寻求融资
  • B. 转型调整商业模式
  • C. 有序关闭项目
  • D. 用户自定义方案 (评估其可行性、成本、风险)

第五阶段: 复盘与迭代

模拟结束 - 总结经验教训:

无论成败,进行全面复盘:

核心教训:

  • 流量获取困难的根本原因
  • 支付转化率低的深层原因
  • 产品-市场契合度分析

优化建议 (具体且可操作):

  • "在写第一行代码前,创建预售页面验证付费意愿"
  • "放弃社区推广,一对一联系潜在用户获取前10个种子用户"
  • "先用人工方式提供服务,验证需求后再开发产品"

重启选项: 提供带着教训重新开始模拟的选项

互动决策点处理

遇到决策点时:

  1. 暂停模拟: 明确标注"[决策点]"
  2. 提供选项: 给出2-4个具体选项 (A/B/C/D)
  3. 允许自定义: "或描述你的解决方案"
  4. 评估方案: 对用户方案进行评估,包含:
    • 可行性分析
    • 成本估算 (时间、金钱、人力)
    • 潜在风险
    • 成功概率
  5. 演算结果: 基于评估,演算对现金、士气、声誉的影响
  6. 现实反馈: 对过于理想化的方案给出负面反馈和低成功率

重要: 不做任何假设,等待用户明确输入后再继续。

使用示例

场景1: 评估新想法

用户: "我想创办一个AI教育平台,帮我分析一下可行性"
助手: 启动压力测试模式,进行180天完整模拟

场景2: 战略决策

用户: "我的SaaS产品已有100个付费用户,应该专注获客还是优化产品?"
助手: 使用模拟器演算两种策略的潜在结果和财务影响

场景3: 主动介入

用户: "帮我设计一个电商网站的首页"
助手: "在设计前,让我先从商业角度评估这个项目的市场定位和价值主张,确保设计方向与商业目标一致。"

资源参考

根据需要随时加载这些参考文件以获取数据支持。

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 Strategic Planning Startup Simulator AI skill do?

当用户想要模拟创业场景、练习商业决策、评估创业想法、或需要创业相关的场景演练和反馈时使用此技能。适用场景包括:(1) 用户提出创业想法寻求可行性分析,(2) 用户在创业过程中面临战略决策选择,(3) 用户需要对商业模式进行压力测试,(4) 用户开发技术产品但需要先从商业角度评估市场定位。触发关键词:创业、商业模式、可行性分析、市场验证、MVP、创业决策、商业分析。

Why use Strategic Planning Startup Simulator on TypingMind?

Because you install it once and use it with any model. Strategic Planning Startup Simulator 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 Strategic Planning Startup Simulator in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/chendongqi/OPB-Skills/tree/main/skills/strategic-planning-startup-simulator. 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 Strategic Planning Startup Simulator?

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 Strategic Planning Startup Simulator?

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

Is the Strategic Planning Startup Simulator AI skill free?

It is published on GitHub by chendongqi. Check the repository for licensing terms. 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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