Token导航 LogoToken导航TokenDH.com
开发只读github未标认证来源可访问许可证需确认审计通过

product-taste-intuition产品味道直觉

Agent Skill

product-taste-intuition 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

总安装

27,456

周安装

1,054

GitHub Stars

734

下载量

8,888
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:product-taste-intuition(产品味道直觉)
来源仓库:https://github.com/refoundai/lenny-skills
仓库路径:skills/product-taste-intuition
安装命令:
npx skills add https://github.com/refoundai/lenny-skills --skill product-taste-intuition
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/refoundai/lenny-skills --skill product-taste-intuition

简介

使用 10 位产品领导者的框架培养产品品味和直觉。

  • 立足于核心原则:直觉作为假设的生成,品味作为通过暴露时间建立的可学习技能,以及对自己产品反应的刻意自我观察
  • 指导用户识别判断中的差距,建议有针对性的练习活动,并知道何时相信直觉而不是数据
  • 包括诊断问题,以揭示用户定期分析哪些产品、他们如何注意到设计质量以及他们如何解决直觉和指标之间的冲突
  • 标记常见错误,例如将口味视为与生俱来、有限的产品接触以及在需要判断时过度依赖数据

SKILL.md

Product Taste & Intuition

Help the user develop product taste and intuition using frameworks from 10 product leaders.

How to Help

When the user asks for help with product taste:

  1. Understand their current exposure - Ask about the products they use and analyze regularly
  2. Identify gaps in their intuition - Determine where their product judgment feels weakest
  3. Suggest deliberate practice - Recommend specific activities to build taste over time
  4. Help them trust their gut - Guide them on when to rely on intuition vs. data

Core Principles

Intuition is a hypothesis generator

Dylan Field: "I think intuition is like a hypothesis generator and you're constantly generating these hypotheses and others are generating hypotheses as well." Intuition isn't about being right - it's about generating good hypotheses quickly that you can then validate.

Taste is the differentiator in an AI world

Alex Komoroske: "In this cacophony, how do you stand out? You stand out by having good taste. I think taste is the most important thing." As AI makes production easier, taste becomes the critical differentiator that separates great products from "slop."

Taste is a developable skill

Guillermo Rauch: "Taste, sometimes I think we think of as this inaccessible thing that, 'Oh, that person was born with taste.' I see it as a skill that it can develop." Taste is built through "exposure hours" and deliberately analyzing the best products in the world, not innate talent.

Build taste through self-observation

Julie Zhuo: "The number one advice... is it's just really about observation and it's about curiosity and can start by first observing yourself." Build product sense by noticing your own reactions to products, then validating those observations qualitatively and quantitatively.

Be a voracious user of products

Kayvon Beykpour: "The best cheat codes for getting better at building products is just being a voracious user of products... There's just no replacement for that." Building great consumer products relies on "muscle memory" developed by using many products deeply.

Taste means knowing what to remove

Great taste isn't just about what to add - it's about knowing what to cut. The ability to simplify and focus is a core expression of product taste.

Questions to Help Users

  • "What products do you use daily that you think are exceptionally well-designed? What makes them great?"
  • "When was the last time you analyzed a competitor's product in detail? What did you learn?"
  • "When you use a new app, what do you notice first? What bothers you?"
  • "How often do you experiment with products outside your industry or domain?"
  • "When your intuition and data conflict, how do you decide what to do?"

Common Mistakes to Flag

  • Treating taste as innate - Believing some people just "have it" rather than developing it deliberately
  • Not using enough products - Limited exposure leading to limited intuition
  • Ignoring your own reactions - Not paying attention to what delights or frustrates you as a user
  • Over-relying on data - Never making decisions based on judgment when data is unavailable
  • Copying without understanding - Adopting patterns from successful products without understanding why they work

Deep Dive

For all 11 insights from 10 guests, see references/guest-insights.md

Related Skills

  • problem-definition
  • running-design-reviews
  • positioning-messaging

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

39.13%
按下载量换算3,478

Claude

30.01%
按下载量换算2,667

Cursor

18.15%
按下载量换算1,613

Gemini CLI

9.18%
按下载量换算816

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

继续浏览同类 Skills