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Agent Skill · 研究检索

mvp-planning(MVP 规划)

mvp-planning 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

mvp-planning 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 6,106。

总安装 23,303周安装 1,001GitHub Stars 2下载 8,168核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
0.1.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:mvp-planning(MVP 规划)
来源仓库:https://github.com/jk-0001/mvp-planning
安装命令:
openclaw skills install mvp-planning
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install mvp-planning

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

mvp-planning 协助创业者制定最小可行产品策略,明确功能优先级与资源分配方向。适合在产品初期决策阶段,用于梳理核心需求、排除非必要特性及设定迭代节奏。提供范围界定框架与风险评估建议,辅助团队聚焦关键价值点快速验证假设。

安装命令:openclaw skills install mvp-planning;建议在项目启动或规划会议中使用。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install mvp-planning;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

mvp-planning 怎么安装?

在终端执行 openclaw skills install mvp-planning。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

mvp-planning 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

mvp-planning 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

mvp-planning 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

mvp-planning 用的人多吗?

公开数据是累计安装 23,303 次,近一周安装 1,001 次,下载 8,168 次,GitHub 2 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

mvp-planning 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
mvp-planning

MVP 规划 · 本页

23,3032需要联网MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
mvp-planning
description
Plan and scope a Minimum Viable Product for a solopreneur. Use when deciding what to build first, what to cut, how to prioritize features, how to define "done" for a first launch, and how to structure the MVP build process. Covers the MVP definition, feature ruthless-cutting framework, build-vs-buy decisions, launch criteria, and post-launch learning loops. Trigger on "plan my MVP", "minimum viable product", "what should I build first", "scope my product", "MVP roadmap", "what features to include", "first version", "launch something".

MVP Planning

Overview

An MVP is not a product with every feature you can imagine stripped down. It is the smallest thing you can build that tests your core business hypothesis and delivers real value to real customers. If you build too much, you waste time on features nobody asked for. If you build too little, you launch something that doesn't actually solve the problem. This playbook defines the line precisely and gives you a repeatable process to find it.


Step 1: Restate Your Core Hypothesis

Before scoping anything, write down the single hypothesis your MVP must test. Everything you include must serve this hypothesis. Everything that doesn't gets cut.

Format:

IF we build [specific product that does X for Y customers],
THEN [specific outcome we expect — e.g., Z% will pay, W% will return weekly].

Example: "IF we build an automated client progress report tool for freelance developers, THEN at least 30% of beta users will use it weekly within the first month, and at least 10% will convert to a paid plan."

The hypothesis has two parts: a behavior signal (usage) and a revenue signal (payment). Both must be measurable. If you can't measure it, you can't learn from it.


Step 2: Define What "Viable" Means for Your Specific Situation

"Viable" is not universal. It depends on your hypothesis. Map your hypothesis to the minimum experience needed to test it.

Ask these questions:

  1. What is the absolute minimum a customer needs to experience to decide "this is valuable" or "this is not"?
  2. What is the one core interaction that delivers the value proposition?
  3. What can be manual, ugly, or missing and still test the hypothesis? (These things get cut or faked.)
  4. What CANNOT be missing without the product feeling broken or useless? (These are non-negotiable.)

Label every feature as:

  • 🔴 Must-have: Product is meaningless without this. Hypothesis cannot be tested without it.
  • 🟡 Nice-to-have: Improves experience but hypothesis can still be tested without it.
  • 🟢 Cut: Not needed for the hypothesis at all. Build later if validated.

Step 3: Feature Ruthless-Cutting

Take your full feature wishlist and run every item through this filter. Be brutal. Solopreneurs have limited build time — every unnecessary feature is time stolen from the core value.

The Four Cuts:

Cut 1: The Hypothesis Cut

Does this feature directly serve testing your core hypothesis?

  • Yes → Keep (for now, pending further cuts)
  • No → Cut. No exceptions.

Cut 2: The "Fake It" Cut

Can this feature be faked or done manually for the first N customers without them knowing or caring?

Examples of things you can fake:

  • A "dashboard" that's actually a shared Google Sheet for your first 10 customers
  • "Real-time" updates that are actually sent on a 1-hour delay
  • "AI-powered" recommendations that are actually you manually curating them for beta users
  • An "API integration" that's actually a scheduled script running every few hours

If you can fake it convincingly for beta scale, fake it. Build the real version only after you've confirmed people actually want it.

Cut 3: The Sequencing Cut

Is this feature something that MUST exist at launch, or can it be added in v1.1 (within 2 weeks of launch)?

If it can wait 2 weeks and the product is still usable and testable without it → cut it from MVP scope. Move it to "Week 2" backlog.

Cut 4: The Delight Cut

Is this feature a "delight" — something nice but not expected?

Delights are great for retention but terrible for MVPs. Cut them all. Your MVP should be functional and clear, not delightful. Delight is a v2 luxury.

After all four cuts, you should have a dramatically smaller feature list than you started with. If it still feels like a lot, cut again. The most common MVP mistake is building too much.


Step 4: Define Your MVP Scope Document

Write a single-page document that locks the scope. This prevents scope creep and gives you a clear "done" line.

MVP SCOPE DOCUMENT
==================

HYPOTHESIS: [from Step 1]

CORE VALUE DELIVERED: [one sentence — what the user gets]

MUST-HAVE FEATURES (🔴):
  1. [Feature] — because [why it's essential to the hypothesis]
  2. [Feature] — because [why]
  3. [Feature] — because [why]

FAKED / MANUAL FEATURES (🟡 deferred to real implementation):
  1. [Feature] — faked as [how] — real build in [when]
  2. [Feature] — faked as [how] — real build in [when]

CUT FROM MVP (🟢 — revisit after launch):
  1. [Feature]
  2. [Feature]
  ...

LAUNCH CRITERIA (all must be true before you call this "launched"):
  - [ ] [Criterion 1]
  - [ ] [Criterion 2]
  - [ ] [Criterion 3]

WHAT SUCCESS LOOKS LIKE (measured in the first 30 days):
  - [Metric 1]: target = [number]
  - [Metric 2]: target = [number]

Step 5: Build vs. Buy Decisions

For every piece of technology your MVP needs, decide: build it yourself, buy/use an existing tool, or use a no-code/low-code solution.

Decision framework:

If this is...Then...
Your core differentiatorBUILD. This is what makes you unique. Outsourcing it = outsourcing your advantage.
Commodity infrastructure (hosting, payments, auth, email)BUY. Use established tools (Stripe, Auth0, SendGrid, Vercel, etc.). Building these yourself wastes months.
A workflow you'll do 100+ times but isn't your core productAUTOMATE with no-code (Zapier, Make, n8n). Build only if the automation tools can't handle it.
Something you need once or very rarelyBUY or use a freelancer. Don't build a tool you'll use once.

Solopreneur rule: The fewer custom-built components, the faster your MVP ships. Ruthlessly use existing tools for everything except the one thing that is uniquely yours.


Step 6: Estimate and Schedule the Build

For each must-have feature, estimate:

  • Build time (hours — be honest, then add 50% buffer)
  • Dependencies (does feature B require feature A to be done first?)
  • Complexity risk (is there a part you're unsure about? Build that part FIRST to de-risk)

Build order rules:

  1. Build the riskiest technical piece first. If it turns out to be impossible or takes 3x longer, you want to know now — before you've built everything around it.
  2. Build the core value loop second. This is the single interaction that delivers your value proposition. Everything else connects to this.
  3. Build supporting features last. Auth, onboarding copy, polish — these come after the core works.

Timeline:

  • Set a hard launch date (create external pressure — tell someone, set up a waitlist).
  • Work backward from launch date to today. Does the build time fit?
  • If it doesn't fit, cut more features (back to Step 3) or extend the date. Do NOT compromise on the core value loop to hit an arbitrary deadline.

Step 7: Launch Criteria Checklist

Do not launch until every item is checked:

  • [ ] Core value loop works end-to-end (a real user can go from signup to experiencing the value)
  • [ ] No data-losing bugs (you can lose polish, not data)
  • [ ] Payment works (if monetized at launch — even if it's just a "pay later" promise)
  • [ ] You can onboard a stranger in under 5 minutes without helping them (test with 3 real strangers)
  • [ ] You have a way to collect feedback (in-app survey, email, or Slack channel)
  • [ ] You have a way to monitor basic health (uptime, error rates, basic analytics)
  • [ ] You have a plan for the first 48 hours post-launch (who you notify, how you monitor, how you respond to feedback)

Step 8: Post-Launch Learning Loop

The MVP is not the end — it is the beginning of a learning loop.

Week 1 post-launch:

  • Talk to every single early user. Not a survey — a real conversation. What confused them? What delighted them? What did they expect that wasn't there?
  • Watch them use the product if possible (screen share, session recordings). Where do they hesitate? Where do they drop off?

Week 2-4:

  • Measure your success metrics (from the scope document). Are you on track?
  • Identify the single biggest gap between what you built and what users actually need.
  • Decide: iterate on the current MVP, or pivot the hypothesis?

Decision rules:

  • If usage metrics are strong but revenue is weak → pricing or conversion problem. Iterate on that.
  • If usage metrics are weak → the core value isn't landing. Potentially a pivot situation.
  • If both are strong → you have product-market fit signals. Scale up (more users, more marketing, more features).

MVP Mistakes to Avoid

  • Building features because they're fun to build, not because they test the hypothesis.
  • Launching to your friends first. Friends are too polite to give useful feedback. Launch to strangers.
  • Perfecting the UI before confirming the value. A ugly product that solves a real problem beats a beautiful product nobody needs.
  • Treating the MVP as the final product. It isn't. It's a learning machine. Expect to rebuild 60-80% of it in v2.
  • Not shipping. The best MVP is a shipped MVP. An unshipped MVP teaches you nothing.

平台分布

OpenClaw

72.99%
按下载量换算5,962

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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