Agent skill · design visual · nexu-io

stitch-design-taste

Semantic Design System Skill for Google Stitch. Generates agent-friendly DESIGN.md files that enforce premium, anti-generic UI standards — strict typography, calibrated color, asymmetric layouts, perpetual micro-motion, and hardware-accelerated performance.

Why this skill is useful

Generates a DESIGN.md file with specific design standards and rules that Stitch's AI can interpret, enhancing its design capabilities.

What it needs

Requires google stitch account access. About 7k tokens when loaded. Last updated 2026-08-07. 84,236 stars on the source repository.

What this skill does

Stitch Design Taste — Semantic Design System Skill Overview 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. Prerequisites Access to Google Stitch via labs.google.com/stitch Optionally: Stitch MCP Server for programmatic integration with Cursor, Antigravity, or Gemini CLI The Goal Generate a DESIGN.md file that encodes: 1. Visual atmosphere — the mood, density, and design philosophy 2. Color calibration — neutrals, accents, and banned patterns with hex codes 3. Typographic architecture — font stacks, scale hierarchy, and anti-patterns 4. Component behaviors — buttons, cards, inputs with interaction states 5. Layout principles — grid systems, spacing philosophy, responsive strategy 6. Motion philosophy — animation engine specs, spring physics, perpetual micro-interactions 7. Anti-patterns — explicit list of banned AI design clichés Analysis & Synthesis Instructions 1. Define the Atmosphere Evaluate the target project's intent. Use evocative adjectives from the taste spectrum: Density: "Art Gallery Airy" (1–3) → "Daily App Balanced" (4–7) → "Cockpit Dense" (8–10) Variance: "Predictable Symmetric" (1–3) → "Offset Asymmetric" (4–7) → "Artsy Chaotic" (8–10) Motion: "Static Restrained" (1–3) → "Fluid CSS" (4–7) → "Cinematic Choreography" (8–10) Default baseline: Variance 8, Motion 6, Density 4. Adapt dynamically based on user's vibe description. 2. …

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills nexu-io/stitch-skill

View the source on GitHub

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