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Agent Skill · 研究检索

consumer-product-readiness-stack(消费产品准备堆栈)

consumer-product-readiness-stack 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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。

consumer-product-readiness-stack 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,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 72,323。

总安装 188周安装 8GitHub Stars 23下载 66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
unknown

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:consumer-product-readiness-stack(消费产品准备堆栈)
来源仓库:https://github.com/samarv/shanon
仓库路径:skills/consumer-product-readiness-stack
安装命令:
npx skills add https://github.com/samarv/shanon --skill consumer-product-readiness-stack
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/samarv/shanon --skill consumer-product-readiness-stack

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。

诊断面向消费者的产品团队能力栈是否完备的诊断框架。涵盖战略对齐、竞争优势和组织敏捷性等关键维度。适用于评估产品与市场匹配度(product-market fit)的准备状态。需先确认公司-产品契合度,再应用此栈进行深度检查。

consumer-product-readiness-stack 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/consumer-product-readiness-stack

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/samarv/shanon --skill consumer-product-readine…;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

consumer-product-readiness-stack 怎么安装?

在终端执行 npx skills add https://github.com/samarv/shanon --skill consumer-product-readiness-stack。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

consumer-product-readiness-stack 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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。

consumer-product-readiness-stack 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。

consumer-product-readiness-stack 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

consumer-product-readiness-stack 用的人多吗?

公开数据是累计安装 188 次,近一周安装 8 次,下载 66 次,GitHub 23 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。

consumer-product-readiness-stack 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

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 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

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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 Codex,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。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 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
consumer-product-readiness-stack

消费产品准备堆栈 · 本页

18823需要联网未明确通过

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

The Consumer Stack is a diagnostic and strategic framework designed to ensure a team has the foundational "stack" of capabilities necessary to win in the fickle consumer market. Use this to move beyond general product management and focus on the specific rigors of consumer-facing growth.

The Pre-Check: Company-Product Fit

Before applying the stack, ensure the product belongs in your organization. A company is a portfolio of unique strengths. Ask:

  • Strategic Alignment: Assuming this is successful, does it serve the right place in our portfolio?
  • Competitive Advantage: Can we do this better than anyone else because of our existing DNA?
  • Permission to Play: If the company culture is enterprise-focused, do we have the sponsorship to build a consumer-grade team?

The Five Pillars of the Consumer Stack

Evaluate your team or project against these five pillars. Use an A-D "report card" style to identify where the stack is broken.

1. Design-Led Thinking

Consumer products require a level of craftsmanship where "good enough" is a failure.

  • Focus on Delight: Move beyond utility to emotional resonance.
  • Sweat the Details: Review transitions, pixel-to-pixel accuracy, and the "feel" of moving between screens.
  • High Bar: If the product isn't beautiful and intuitive, consumer pull will never materialize.

2. Radical Focus and Prioritization

Avoid the "20-feature trap." Most successful consumer launches solve one problem exceptionally well.

  • Identify Critical User Journeys (CUJs): Map the 1-2 paths that define the product's value.
  • Limit the Scope: A launch should have very few features, but those features must be executed at an A+ level.
  • Say No: Protect the team from "line extension" ideas that dilute the core experience.

3. Metrics and Instrumentation

You cannot optimize what you haven't codified.

  • Define "Active": Don't just track DAU; define exactly what "Active" means for your specific product (e.g., "completed one search" vs. "opened app").
  • Instrument Early: Never debate a metric that hasn't been properly instrumented.
  • Create a Single Source of Truth: Use dashboards that are accessible to every engineer and designer, not just PMs.

4. High Ship Velocity and Experimentation

In consumer tech, the speed of learning is your primary competitive advantage.

  • Experimentation Culture: Build the infrastructure to check in code, see results, and iterate within days, not months.
  • Optimize for Learning: If a feature fails, but you learned a fundamental truth about user behavior, it is a success.

5. Talent and Empathy

Consumer building requires a specific type of builder who can empathize with a heterogeneous, global user base.

  • Diverse Perspectives: Ensure the team reflects the global nature of consumer patterns (localized in language/pricing, but universal in UI).
  • Builder DNA: Hire people who are "technology optimists" and are driven by the scale of reaching millions.

Operational Strategy: The "Quick Win" Loop

When morale is low or the market is tough, use the "Win" tactic to jumpstart the stack:

  1. Pivot to the Short Term: Find a feature that can be soft-launched in 4 weeks instead of a major release in 6 months.
  2. Soft-Scale: Put the feature in front of a small group of users (even 10-50).
  3. Celebrate the Momentum: Use the high-fives from a small ship to fuel the energy needed for the larger roadmap.

Examples

Example 1: Diagnosing a Stalled Launch

  • Context: A large tech firm's new messaging app is seeing high churn.
  • Application: The PM uses the Stack Scorecard. They find "Instrumentation" is an A (data is clear), but "Focus" is a D (the app has 15 confusing tabs).
  • Output: The team cuts 12 features to focus exclusively on the "Video Message" CUJ, leading to a 20% increase in retention.

Example 2: Preparing for a Global Expansion

  • Context: An Uber-like service is moving from the US into India.
  • Application: Instead of building a "Market Specific" app, the team applies the "Universal Pattern" principle. They keep the core UI/UX the same but focus Pillar 3 (Metrics) on local connectivity issues and Pillar 1 (Design) on language localization.
  • Output: The product scales rapidly because the core "five-minute ETA" promise is universal, despite local nuances.

Common Pitfalls

  • Process over Progress: Becoming so married to sprint planning or "the PM way" that you stop shipping. Process should enable the ship, not prevent it.
  • The "PM as CEO" Myth: Acting as a dictator rather than an enabler. In the Consumer Stack, the PM is a high-leverage facilitator whose job is to create clarity and energy for the experts (engineers/designers).
  • Ignoring Followership: Focusing only on "The What" (impact) and ignoring "The How." If designers and engineers don't want to work with you, you cannot execute a high-velocity stack.
  • Not Admitting Mistakes: Failing to be humble early in your career. Consumer behavior is unpredictable; if you can't admit a hypothesis was wrong, you'll never find product-market fit.

平台分布

Codex

35.63%
按下载量换算24

Claude

29.13%
按下载量换算19

Cursor

16.07%
按下载量换算11

Gemini CLI

9.39%
按下载量换算6

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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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