Enforce Figma UI design constraints for light-mode interfaces with Inter font and 4px grid.
npx skills add https://github.com/ihlamury/design-skills --skill figma-ui-skills
Please help me install this Agent Skill. Skill: figma-ui-skills Source: https://github.com/ihlamury/design-skills/tree/main/skills/figma Command: npx skills add https://github.com/ihlamury/design-skills --skill figma-ui-skills
This Skill provides opinionated constraints and guidelines for building user interfaces that are visually consistent with Figma's aesthetic, ensuring pixel-perfect replication and adherence to its design principles.
Apply Figma's UI design system to build a light-mode interface using the Inter font and a 4px grid.
High-intent search queries and answers about installing and using this skill.
To build a Figma-style interface, apply predefined color tokens, typography styles, and spacing rules based on a 4px grid. This enforces visual consistency and pixel-perfect replication for light-mode interfaces using the Inter font.
Figma aesthetic replication requires specific design system constraints including color tokens, typography scales, border-radius rules, and layout guidelines. These constraints ensure visual harmony and user familiarity when creating native-feeling features.
Yes, this UI design approach enforces accessibility standards for text contrast and interactive element states. By using predefined color tokens and typography styles, the generated light-mode interfaces maintain accessible contrast ratios.
No, these design system constraints are specifically tailored for building light-mode interfaces. The predefined color tokens and layout guidelines target Figma's light mode aesthetic and do not apply to dark mode themes.
The best way to ensure pixel-perfect visual consistency is to strictly adhere to opinionated constraints like a 4px grid, Inter typography scales, and predefined color tokens. This eliminates guesswork and enforces Figma's exact design principles.
You need predefined color tokens and spacing rules for AI interface generation when creating features that must feel like native parts of the Figma application. This ensures visual harmony and user familiarity across generated components.
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