user-experience
Apply UX thinking to improve product decisions and user flows.
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Installation Guide
How to use user-experience on Cursor
AI-first code editor with Composer
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
Run the install command
Execute the skills CLI command in your project's root directory to begin installation:
Fetches user-experience from whyashthakker/agent-skills-marketing and configures it for Cursor.
Select Cursor when prompted
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
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:
- Can the user tell where they are? (orientation)
- Can the user tell what to do next? (wayfinding)
- Does every piece of text serve the user's goal? (relevance)
- Are any internal details leaking into the UI? (abstraction)
- What happens on error — does the user know what to do? (recovery)
- What is the user feeling at this moment? (emotional state — anxious, excited, confused, relieved?)
- 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-designmakes it beautifuluser-experiencemakes 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
- 1Install skill using provided installation command
- 2Test with simple use case relevant to your work
- 3Evaluate output quality and relevance
- 4Iterate on prompts to improve results
- 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
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
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Reviews
- WWilliam Gill★★★★★Dec 28, 2024
I recommend user-experience for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- DDhruvi Jain★★★★★Dec 20, 2024
user-experience is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- WWilliam Haddad★★★★★Dec 8, 2024
Useful defaults in user-experience — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- AAanya Li★★★★★Dec 4, 2024
user-experience has been reliable in day-to-day use. Documentation quality is above average for community skills.
- DDaniel Sharma★★★★★Dec 4, 2024
user-experience fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- AAva Robinson★★★★★Nov 27, 2024
We added user-experience from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- CCamila Kim★★★★★Nov 27, 2024
Keeps context tight: user-experience is the kind of skill you can hand to a new teammate without a long onboarding doc.
- CCamila Huang★★★★★Nov 23, 2024
Solid pick for teams standardizing on skills: user-experience is focused, and the summary matches what you get after install.
- CCarlos Johnson★★★★★Nov 23, 2024
user-experience is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- OOshnikdeep★★★★★Nov 11, 2024
user-experience fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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