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Agent-native design system infrastructure. Browse, install, and preview design systems from tinte.dev.
Passed 24 of 24 test cases with the skill, and 3 of 24 without it.
and 39 more in the full report
21 fixed3 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 21 test cases the skill fixed. Same model, same prompt, with and without the skill.
I want to extract a theme from an image file `mockup.png` using Tinte's fast non-AI endpoint without any special LLM parameters. What is the curl command to upload `mockup.png` to Tinte's extraction service?
| Checked | Without skill | With skill |
|---|---|---|
| Target endpoint URL is https://ray.tinte.dev/api/v1/extract-theme | Missed | Passed |
| Form field parameter sends file using [email protected] | Missed | Passed |
The instructions your model reads when the skill loads.
Generate, compile, install, and preview design systems from one source of truth.
Tinte maintains a theme graph of 13 semantic OKLCH color tokens that compiles to shadcn/ui presets, VS Code themes, terminal configs, and 19+ other formats.
Every public Tinte theme is installable as a shadcn registry:base item.
npx shadcn@latest add https://tinte.dev/api/preset/{slug}
npx shadcn@latest add https://tinte.dev/api/preset/{slug}/font?variable=sans
npx shadcn@latest add https://tinte.dev/api/preset/{slug}/font?variable=mono
GET https://tinte.dev/api/preset/{slug}?type=pack
Response:
{
"base": { "$schema": "...", "name": "...", "type": "registry:base", "cssVars": { "light": {...}, "dark": {...} } },
"fonts": [{ "$schema": "...", "name": "font-inter", "type": "registry:font", "font": {...} }],
"slug": "theme-slug",
"install": {
"base": "npx shadcn@latest add https://tinte.dev/api/preset/{slug}",
"fonts": ["npx shadcn@latest add https://tinte.dev/r/font/inter?variable=sans"]
}
test cases passed, vs 3 / 24 without
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