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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.
Passed 17 of 22 test cases with the skill, and 3 of 22 without it.
and 18 more in the full report
14 fixed3 passed either way5 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 14 test cases the skill fixed. Same model, same prompt, with and without the skill.
Can you write a semantic DESIGN.md specification file for an online architectural magazine and archival portfolio site? I plan to feed this into Google Stitch for screen generation. Format the file with defined sections detailing the atmospheric vibe, exact color roles with hex codes, font pairing rules, hero section presentation strategy, component styling specifications, responsive layout principles, spring-based motion guidelines, and AI design clichés to strictly ban.
| Checked | Without skill | With skill |
|---|---|---|
| The output specifies inline image typography for the hero section. | Missed | Passed |
| The output forbids pure black hex color #000000. | Passed | Passed |
| The output excludes generic serif fonts like Georgia. | Missed | Passed |
The instructions your model reads when the skill loads.
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 Charcoaltest cases passed, vs 3 / 22 without
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