product-taste-intuition

Develop product taste and intuition using frameworks from 10 product leaders.

refoundai/lenny-skillsUpdated Apr 8, 2026

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Claude CodeCursorClineWindsurfCodexGooseGitHub CopilotZed

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Install Skill

Run in your terminal

$npx skills add https://github.com/refoundai/lenny-skills --skill product-taste-intuition

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What it does

  • Grounded in core principles: intuition as hypothesis generation, taste as a learnable skill built through exposure hours, and deliberate self-observation of your own product reactions

  • Guides users to identify gaps in their judgment, suggest targeted practice activities, and know when to trust gut instinct versus data

  • Includes diagnostic questions to surface what products users analyze regularly, how they no

Category

Frontend

Last updated

Apr 8, 2026

Installation Guide

How to use product-taste-intuition on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your machine
  • Node.js 16+ with npm — verify with node --version
  • Active project directory where you want to add product-taste-intuition
2

Run the install command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/refoundai/lenny-skills --skill product-taste-intuition

Fetches product-taste-intuition from refoundai/lenny-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI shows a list of agents. Use arrow keys and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ────────────────
│ · Cline · Codex · Goose · Windsurf
│ ●Cursor(selected)
│ · Cursor · Aider · Continue
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/product-taste-intuition

Restart Cursor to activate product-taste-intuition. Access via /product-taste-intuition in your agent's command palette.

Security Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.

Documentation

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

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Steps

  1. 1Install skill using provided installation command
  2. 2Test with simple use case relevant to your work
  3. 3Evaluate output quality and relevance
  4. 4Iterate on prompts to improve results
  5. 5Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use when

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid when

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Related Skills

Reviews

4.555 reviews
  • C
    Chinedu JohnsonDec 24, 2024

    product-taste-intuition reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Y
    Yuki AndersonDec 20, 2024

    I recommend product-taste-intuition for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • T
    Tariq YangDec 16, 2024

    Registry listing for product-taste-intuition matched our evaluation — installs cleanly and behaves as described in the markdown.

  • E
    Evelyn ZhangDec 16, 2024

    Solid pick for teams standardizing on skills: product-taste-intuition is focused, and the summary matches what you get after install.

  • D
    Diya PatelNov 27, 2024

    Solid pick for teams standardizing on skills: product-taste-intuition is focused, and the summary matches what you get after install.

  • C
    Chinedu TandonNov 19, 2024

    product-taste-intuition has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • D
    Diya ReddyNov 15, 2024

    We added product-taste-intuition from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • T
    Tariq ChenNov 11, 2024

    Keeps context tight: product-taste-intuition is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Y
    Yuki ThomasNov 7, 2024

    product-taste-intuition fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • D
    Diego FarahOct 26, 2024

    We added product-taste-intuition from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

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