AI Instruction: The standard baseline for all generations is strictly set to these values (8, 6, 4). Do not ask the user to edit this file. Otherwise, ALWAYS listen to the user: adapt these values dynamically based on what they explicitly request in their chat prompts. Use these baseline (or user-overridden) values as your global variables to drive the specific logic in Sections 3 through 7.
Automate repetitive workflows and reduce manual effort
Example: Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example: Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example: Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add leonxlnx/taste-skill --skill design-taste-frontendCompatible with
Supported agents
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiondesign-taste-frontendExecute the skills CLI command in your project's root directory to begin installation:
epx add leonxlnx/taste-skill --skill design-taste-frontendFetches design-taste-frontend from leonxlnx/taste-skill and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/design-taste-frontend
Restart Cursor to activate design-taste-frontend. Access via /design-taste-frontendin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
frontend-design
skillcreatorai/ai-agent-skills · Frontend · 2 shared tags
interior-design-expert
erichowens/some_claude_skills · Frontend · tag: design
senior-frontend
alirezarezvani/claude-skills · Frontend · tag: frontend
frontend-security
schalkneethling/webdev-agent-skills · Frontend · tag: frontend
liquid-glass-design
affaan-m/everything-claude-code · Frontend · tag: design
vercel-react-best-practices
vercel-labs/agent-skills · Frontend · tag: frontend
Useful defaults in design-taste-frontend — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
design-taste-frontend fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend design-taste-frontend for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
design-taste-frontend fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Keeps context tight: design-taste-frontend is the kind of skill you can hand to a new teammate without a long onboarding doc.
I recommend design-taste-frontend for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: design-taste-frontend is focused, and the summary matches what you get after install.
design-taste-frontend fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
design-taste-frontend is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: design-taste-frontend is focused, and the summary matches what you get after install.
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