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pmf-surveyPMF 调查

Agent Skill

用于辅助提示词、系统指令、Agent 行为约束和工作流模板的整理。它适合让 Agent 规范任务边界、统一输出格式、拆分操作步骤或优化提示词可复用性。使用时需要保留真实业务约束,不要把示例当硬规则;涉及自动执行、外部工具或高风险操作时,应在提示词中明确确认步骤、权限边界和失败处理方式。

总安装

3,609

周安装

146

GitHub Stars

32

下载量

1,133
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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:pmf-survey(PMF 调查)
来源仓库:https://github.com/pmprompt/claude-plugin-product-management
仓库路径:skills/pmf-survey
安装命令:
npx skills add https://github.com/pmprompt/claude-plugin-product-management --skill pmf-survey
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/pmprompt/claude-plugin-product-management --skill pmf-survey

简介

pmf-survey 用于辅助提示词、系统指令、Agent 行为约束和工作流模板的整理。

  • 适合规范任务边界、统一输出格式、拆分操作步骤或优化提示词可复用性。
  • 使用时需保留真实业务约束,不要把示例当硬规则;明确确认步骤、权限边界和失败处理方式。
  • 涉及自动执行、外部工具或高风险操作时,应在提示词中明确确认步骤和权限边界。
  • pmf-survey 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Domain Context

This skill implements a proven product management framework. The approach combines best practices from industry leaders and is designed for practical application in day-to-day PM work.

Input Requirements

  • Context about your product, feature, or problem
  • Relevant data, research, or constraints (recommended but optional)
  • Clear articulation of what you're trying to achieve

PMF Survey (Product-Market Fit Survey)

What It Is

The PMF Survey is a method to measure and systematically improve product-market fit. The core insight: you can put a number on product-market fit, and you can use that number to write your roadmap.

The key question: "How would you feel if you could no longer use this product?"

  • Very disappointed - "I'd be devastated. I need this."
  • Somewhat disappointed - "I'd be bummed but I'd find something else."
  • Not disappointed - "I wouldn't really care."

Sean Ellis discovered that companies with 40% or more "very disappointed" responses almost always grew successfully, while those under 40% struggled. This benchmark has held across thousands of companies.

Rahul Vohra at Superhuman took this further: he built an engine that uses survey responses to algorithmically generate a roadmap guaranteed to increase PMF score.

When to Use It

Use the PMF Survey when you need to:

  • Quantify product-market fit before making major investment decisions
  • Decide whether to pivot or double down
  • Prioritize your roadmap based on what will actually move the needle
  • Identify your best customer segment (who loves you most)
  • Track PMF over time as you iterate
  • Make the case to investors with data, not gut feeling

When Not to Use It

  • You have fewer than 30 active users (sample too small)
  • Users haven't had enough time to experience value (survey too early)
  • The product is employer-mandated (users had no choice)
  • You want to validate a hypothesis without building (use JTBD instead)

Resources

Articles:

  • *How Superhuman Built an Engine to Find Product-Market Fit* by Rahul Vohra

Books:

  • *Hacking Growth* by Sean Ellis
  • *The Lean Startup* by Eric Ries

Further Reading

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.06%
按下载量换算409

Claude

30.13%
按下载量换算341

Cursor

16.92%
按下载量换算192

Gemini CLI

9.61%
按下载量换算109

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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