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Opc Mvp Designer

This guides you through designing a minimal viable experiment for a one-person company idea by forcing you to pick one hypothesis to validate first, not build a full product. It asks questions one at a time, presents three MVP options (service-first, content validation, or tool prototype) plus a fourth "I have my own idea" slot, then writes the confirmed plan into structured markdown files in opc-doc/. The boundaries are useful: it explicitly stops you from jumping into content creation, conversion funnels, or operational details until you've nailed down what you're actually testing. It won't let you validate ten things at once, which is exactly the discipline solo founders need. The checkpoint system ensures you actually commit the plan to disk before moving on.

skills.sh installs
216
GitHub stars
17K
last updated
Aug 21, 2026

Install

$ npx -y skills add easychen/opc-methodology --skill opc-mvp-designer --agent claude-code

Installs into .claude/skills of the current project.

Files

MVP 设计

目标

帮助用户确定“最先验证什么、用什么最小形式去验证”,而不是替用户直接定一个产品。

核心原则

  • 默认读写当前工作目录下的 opc-doc/
  • 教学模式下先解释 MVP 不是“简陋产品”,而是“最小验证”
  • 默认一次只问一个问题;如果几个问题都很轻、彼此紧密相关,可以合并成 2 到 3 个
  • 默认给 3 个 MVP 方案,并附加 4. 我有自己的方案
  • 用户确认后再写入正式结果
  • 不直接给推荐结论,只做方案分析
  • 本阶段只做"验证什么、用什么最小形式验证",不进入内容创作或交付细节

本阶段边界

本步做什么

  • 确认最优先需要验证的假设
  • 选定最小验证形式(服务先行 / 内容验证 / 工具原型等类别)
  • 明确成功标准和 MVP 边界

本步不做什么(以下属于后续阶段,不要提前进入)

  • ❌ 不写具体内容选题、文案或帖子(属于 opc-asset-ops)
  • ❌ 不设计完整转化路径(属于 opc-conversion-loop)
  • ❌ 不设计交付 SOP 或运营细节(属于 opc-asset-ops)

越界检测:如果出现"第一篇帖子写什么""具体怎么做这次验证""文案怎么写"等执行话题,先记录,再说:

"这些执行细节会在转化闭环和资产沉淀阶段处理。现在先把验证路径的框架确认好。"

本步骤必须完成什么

  1. 明确当前最先要验证的假设
  2. 明确最小验证形式
  3. 明确成功标准
  4. 明确 MVP 边界
  5. 明确人机分工

优先确认顺序

  1. 最优先验证的假设
  2. 最小验证形式
  3. 成功标准
  4. MVP 边界
  5. 人机分工

完成标准

  • 已形成可执行的 MVP 方案
  • 用户已确认当前主验证路径

本步需要解释什么

教学模式下先解释:

  • MVP 的作用是验证假设
  • 不是功能越多越好
  • 一人公司更适合先跑通最小闭环

输入

优先读取:

  • opc-doc/outputs/04-business-model/risky-assumptions.md

如果依赖不完整,先建议回到 opc-business-model-design。

执行步骤

Sponsors

Details

Repository
github.com/easychen/opc-methodology
Categories
Documentation, Productivity & Planning
First seen
Jun 3, 2026

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