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.
Works with
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:
Fetches 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:
Restart Cursor to activate stitch-design-taste. Access via /stitch-design-taste in your agent's command palette.
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.
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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.
The generated DESIGN.md serves as the single source of truth for prompting Stitch to generate new screens that align with a curated, high-agency design language. Stitch interprets design through "Visual Descriptions" supported by specific color values, typography specs, and component behaviors.
Generate a DESIGN.md file that encodes:
Evaluate the target project's intent. Use evocative adjectives from the taste spectrum:
Default baseline: Variance 8, Motion 6, Density 4. Adapt dynamically based on user's vibe description.
For each color provide: Descriptive Name + Hex Code + Functional Role.
Mandatory constraints:
#000000) — use Off-Black, Zinc-950, or CharcoalInter is BANNED for premium/creative contexts. Force unique character: Geist, Outfit, Cabinet Grotesk, or SatoshiTimes New Roman, Georgia, Garamond, Palatino) are BANNED. If serif is needed for editorial/creative contexts, use only distinctive modern serifs: Fraunces, Gambarino, Editorial New, or Instrument Serif. Serif is always BANNED in dashboards or software UIsGeist + Geist Mono or Satoshi + JetBrains Mono)The Hero is the first impression and must be creative, striking, and never generic:
For each component type, describe shape, color, shadow depth, and interaction behavior:
calc() percentage hacksmin-h-[100dvh] — never h-screen (iOS Safari catastrophic jump)Every design must work across all viewports:
clamp(). Body text minimum 1rem/14px44px tap targetclamp(3rem, 8vw, 6rem))stiffness: 100, damping: 20 — premium, weighty feel. No linear easingtransform and opacity. Never animate top, left, width, height. Grain/noise filters on fixed pseudo-elements onlyEncode these as explicit "NEVER DO" rules in the DESIGN.md:
Inter fontTimes New Roman, Georgia, Garamond) — distinctive modern serifs only if needed#000000)99.99%, 50%)picsum.photos or SVG avatars# Design System: [Project Title]
## 1. Visual Theme & Atmosphere
(Evocative description of the mood, density, variance, and motion intensity.
Example: "A restrained, gallery-airy interface with confident asymmetric layouts
and fluid spring-physics motion. The atmosphere is clinical yet warm — like a
well-lit architecture studio.")
## 2. Color Palette & Roles
- **Canvas White** (#F9FAFB) — Primary background surface
- **Pure Surface** (#FFFFFF) — Card and container fill
- **Charcoal Ink** (#18181B) — Primary text, Zinc-950 depth
- **Muted Steel** (#71717A) — Secondary text, descriptions, metadata
- **Whisper Border** (rgba(226,232,240,0.5)) — Card borders, 1px structural lines
- **[Accent Name]** (#XXXXXX) — Single accent for CTAs, active states, focus rings
(Max 1 accent. Saturation < 80%. No purple/neon.)
## 3. Typography Rules
- **Display:** [Font Name] — Track-tight, controlled scale, weight-driven hierarchy
- **Body:** [Font Name] — Relaxed leading, 65ch max-width, neutral secondary color
- **Mono:** [Font Name] — For code, metadata, timestamps, high-density numbers
- **Banned:** Inter, generic system fonts for premium contexts. Serif fonts banned in dashboards.
## 4. Component Stylings
* **Buttons:** Flat, no outer glow. Tactile -1px translate on active. Accent fill for primary, ghost/outline for secondary.
* **Cards:** Generously rounded corners (2.5rem). Diffused whisper shadow. Used only when elevation serves hierarchy. High-density: replace with border-top dividers.
* **Inputs:** Label above, error below. Focus ring in accent color. No floating labels.
* **Loaders:** Skeletal shimmer matching exact layout dimensions. No circular spinners.
* **Empty States:** Composed, illustrated compositions — not just "No data" text.
## 5. Layout Principles
(Grid-first responsive architecture. Asymmetric splits for Hero sections.
Strict single-column collapse below 768px. Max-width containment.
No flexbox percentage math. Generous internal padding.)
## 6. Motion & Interaction
(Spring physics for all interactive elements. Staggered cascade reveals.
Perpetual micro-loops on active dashboard components. Hardware-accelerated
transforms only. Isolated Client Components for CPU-heavy animations.)
## 7. Anti-Patterns (Banned)
(Explicit list of forbidden patterns: no emojis, no Inter, no pure black,
no neon glows, no 3-column equal grids, no AI copywriting clichés,
no generic placeholder names, no broken image links.)
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
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.
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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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