user-experience

Apply UX thinking to improve product decisions and user flows.

Works with

Claude CodeCursorClineWindsurfCodexGooseGitHub CopilotZed

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Install Skill

Run in your terminal

$npx skills add https://github.com/whyashthakker/agent-skills-marketing --skill user-experience

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Installation Guide

How to use user-experience 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 user-experience
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/whyashthakker/agent-skills-marketing --skill user-experience

Fetches user-experience from whyashthakker/agent-skills-marketing 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/user-experience

Restart Cursor to activate user-experience. Access via /user-experience 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

name
user-experience
description
Apply UX thinking to product decisions, flows, and copy. Use this skill when the user asks to improve user experience, review flows, write UX copy, reduce friction, simplify onboarding, audit confusing UI patterns, or think through what a user sees vs. what happens behind the scenes. The core principle: users care about outcomes, not implementation.
license
Complete terms in LICENSE.txt

This skill guides UX thinking across product decisions — what to show, what to hide, and how to communicate with users in a way that builds trust without exposing internal complexity.

The user provides a flow, feature, screen, or copy to review. They may include context about the audience, the goal, or a specific problem they're seeing.

Core UX Principle: Outcomes Over Implementation

Users think in goals, not systems. They want to know:

  • What will this do for me?
  • Is this safe / will I lose anything?
  • What happens next?

They do not want to know:

  • Which AI model generated this
  • Which third-party API is being called
  • What database query is running
  • What the retry logic looks like
  • Internal status codes or error stack traces

Before any copy, label, tooltip, or status message — ask: "Is this information for the user, or for the engineer?" If it's for the engineer, it doesn't belong in the UI.

UX Thinking Framework

Before suggesting changes, understand:

  • Who is the user? Their mental model, vocabulary, and context. A developer reads differently than a CMO.
  • What is the job to be done? The single thing they came to accomplish right now.
  • Where are they in the flow? Entry, decision point, waiting, success, error, or exit.
  • What do they fear? Data loss, irreversibility, cost, confusion, embarrassment.

What to Show vs. What to Hide

Show:

  • Progress toward the user's goal ("Your file is ready")
  • Confirmation that something worked ("Saved")
  • What the user can do next
  • Relevant constraints in plain language ("Max 10 members on free plan")
  • Recoverable errors with a clear path forward ("Something went wrong — try again")

Hide:

  • Service names, model names, vendor names unless the user explicitly chose them
  • Technical error messages (log them, don't surface them)
  • Processing steps the user can't act on ("Calling GPT-4o-mini..." → just show a spinner)
  • Internal state transitions ("Queuing...", "Initialising...", "Hydrating...")
  • Percentage progress that isn't meaningful ("12%... 13%...")

Language & Copy Guidelines

Write copy the way a calm, knowledgeable colleague would speak — not a system log:

  • Action labels: Verb + object. "Save draft", "Send invite", "Export PDF". Never "Submit", "Proceed", "Execute".
  • Status messages: Past tense for done ("Saved"), present continuous for in-progress ("Saving…"), imperative for next step ("Add a team member").
  • Error messages: Say what happened in plain language, then what to do. Never show error codes to end users.
  • Empty states: Tell the user what they'll get here and give them one clear action to start.
  • Tooltips: Only if the label alone is genuinely ambiguous. Don't use them to explain implementation.
  • Loading states: Name the outcome, not the process. "Getting your results" beats "Fetching data from API".

Flow Review Checklist

When auditing a flow or screen:

  1. Can the user tell where they are? (orientation)
  2. Can the user tell what to do next? (wayfinding)
  3. Does every piece of text serve the user's goal? (relevance)
  4. Are any internal details leaking into the UI? (abstraction)
  5. What happens on error — does the user know what to do? (recovery)
  6. What is the user feeling at this moment? (emotional state — anxious, excited, confused, relieved?)
  7. Is anything asking for effort the user shouldn't have to give? (friction)

Friction Audit

Common friction sources to eliminate:

  • Asking for information you don't need yet (forms that ask for credit card before showing value)
  • Requiring a decision with insufficient context ("Do you want to enable advanced mode?" — what is that?)
  • Success screens that don't tell the user what to do next
  • Modals that interrupt flow without a clear purpose
  • Copy that explains how the system works instead of what it means for the user
  • Loading states with no feedback on progress or expected duration
  • Confirmation dialogs for low-stakes, reversible actions

Onboarding UX

Good onboarding shows value before asking for commitment:

  • Lead with what the user can accomplish, not a feature list
  • Delay account creation until the user has experienced something worth returning for
  • Use progressive disclosure — reveal complexity only when the user is ready for it
  • The first "aha moment" should be reachable in under 60 seconds

Applying This Alongside frontend-design

UX and UI are complementary. The [[frontend-design]] skill handles how things look and feel visually. This skill handles what is shown, what is said, and when. Apply both together:

  • frontend-design makes it beautiful
  • user-experience makes it make sense

When conflicts arise — always side with clarity over aesthetics. A stunning interface that confuses the user has failed.

https://github.com/whyashthakker/agent-skills-marketing/tree/main/.claude/skills/user-experience

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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

4.459 reviews
  • W
    William GillDec 28, 2024

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

  • D
    Dhruvi JainDec 20, 2024

    user-experience is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • W
    William HaddadDec 8, 2024

    Useful defaults in user-experience — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • A
    Aanya LiDec 4, 2024

    user-experience has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • D
    Daniel SharmaDec 4, 2024

    user-experience fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • A
    Ava RobinsonNov 27, 2024

    We added user-experience from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • C
    Camila KimNov 27, 2024

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

  • C
    Camila HuangNov 23, 2024

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

  • C
    Carlos JohnsonNov 23, 2024

    user-experience is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • O
    OshnikdeepNov 11, 2024

    user-experience fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

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