This skill generates DESIGN.md files optimized for Google Stitch screen generation. It translates the battle-tested anti-slop frontend engineering directives into Stitch's native semantic design language — descriptive, natural-language rules paired with precise values that Stitch's AI agent can interpret to produce premium, non-generic interfaces.
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 stitch-design-tasteCompatible with
Supported agents
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionstitch-design-tasteExecute the skills CLI command in your project's root directory to begin installation:
epx add leonxlnx/taste-skill --skill stitch-design-tasteFetches stitch-design-taste 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/stitch-design-taste
Restart Cursor to activate stitch-design-taste. Access via /stitch-design-tastein 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.
mobile-app-ui-design
ceorkm/mobile-app-ui-design · Frontend · tag: design
game-ui-design
omer-metin/skills-for-antigravity · Frontend · tag: design
interior-design-expert
erichowens/some_claude_skills · Frontend · tag: design
game-design-core
omer-metin/skills-for-antigravity · Frontend · tag: design
design-an-interface
mattpocock/skills · Frontend · tag: design
expo-app-design
skillcreatorai/ai-agent-skills · Frontend · tag: design
stitch-design-taste fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
stitch-design-taste reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for stitch-design-taste matched our evaluation — installs cleanly and behaves as described in the markdown.
I recommend stitch-design-taste for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: stitch-design-taste is focused, and the summary matches what you get after install.
stitch-design-taste reduced setup friction for our internal harness; good balance of opinion and flexibility.
We added stitch-design-taste from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
stitch-design-taste has been reliable in day-to-day use. Documentation quality is above average for community skills.
I recommend stitch-design-taste for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in stitch-design-taste — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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