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Labsco/Repos/nextlevelbuilder/ui-ux-pro-max-skill
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nextlevelbuilder ui-ux-pro-max-skill

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nextlevelbuilder · publisher101,319 repository starsMIT · Freegithub.com/nextlevelbuilder/ui-ux-pro-max-skill
7skills
3groups
2ready to use

The core piece, ui-ux-pro-max, is a reasoning engine over local reference data — style names, color palettes, font pairings, UX guidelines, icon sets, chart types, and framework-specific implementation notes for 22 stacks (React, Svelte, Flutter, and others). design-system, ui-styling, brand, and banner-design draw on the same reference data to produce design tokens, shadcn/Tailwind UI code, brand voice guidance, and banner layouts respectively, all of it running locally with no external account. design is a superset of all four: brand identity, design tokens, UI styling, and banner design, plus logo generation, a corporate identity program, and social-media images generated through Gemini.

This is for someone who wants a canned decision layer — "what color palette and typography fit a spa booking app" — rather than raw taste. If you only need the reasoning and code output, ui-ux-pro-max, design-system, ui-styling, brand, and banner-design cost nothing beyond the repository itself.

READ THE FULL ANALYSIS

Picking design mostly duplicates the other four. Its own description already claims brand identity, design tokens, UI styling, and banner design as part of its scope — the same ground brand, design-system, ui-styling, and banner-design each cover on their own. There is no indication in the material of which one nextlevelbuilder intends as the default entry point.

The package's self-reported counts don't agree with each other. The README's badges say 161 reasoning rules and 67 UI styles; ui-ux-pro-max's own skill description says 79 searchable styles with only 50 active, a different font-pairing count, and a different UX-guideline count than the README's. We're reporting what each source says rather than picking a winner, because nothing in the material resolves the discrepancy.

design's image generation is a paid dependency the README doesn't price. It needs a GEMINI_API_KEY and pip install google-genai pillow; what that costs per logo or banner isn't stated anywhere in the docs. slides, separately, routes its real logic to a reference file outside what we could inspect, so we can't confirm what it actually does beyond its one-line description.

Checked 19 September 2026 against the live skill set and the repository README.

7Grouped into 3 sets by the authors.
2Work with nothing else to set up.
101,319Stars on the GitHub repository, at last check.