GeneratorCheckerv0 / Framer

Build a design-system prompt from real sources

Select your builder, attach evidence types, and copy a source-grounded prompt.

Output

Prompt

Checklist

Sources

Selector

Package design-system evidence

Mode

Builder

Sources

MaturityContext

Readiness

Needs source

Prompt

v0 Design Systems

Evidence

4 sources selected

Gaps

3 source gaps

Generated prompt

You are helping me generate a first implementation plan and prompt for v0 Design Systems.
Product context: SaaS or developer tool UI with reusable components, tokens, and responsive pages.
Design-system maturity: partial.
Available evidence: GitHub repository, Figma frames, Tokens / CSS, Design guidelines.

Ground rules:
- Use only components, props, tokens, typography, spacing, and visual patterns verified in the supplied sources.
- If a component, prop, token, or layout rule is missing, mark it as a gap instead of inventing it.
- Keep the first result concise: summary, source map, implementation prompt, QA checklist, and missing evidence.
- Preserve responsive behavior, accessibility constraints, and brand boundaries.

Builder focus:
- Ask v0 to ground output in verified GitHub, Figma, docs, Storybook, package, token, and attachment sources.
- Caveat: v0 should not invent components, props, or tokens that are not present in supplied sources.

Output format:
1. Readiness summary
2. Source-to-use mapping
3. Copyable build prompt
4. QA checks
5. Evidence gaps

Report

Use these sources

GitHub repository: Component source, routes, package setup, token files, and implementation constraints.
Figma frames: Visual hierarchy, spacing, responsive intent, and actual screen references.
Tokens / CSS: Colors, typography, radius, spacing, shadows, and theme variables.
Design guidelines: Voice, accessibility, layout rules, brand constraints, and misuse examples.

Add before serious use

Storybook or docs: Component variants, usage examples, props, and interaction states.
npm package: Install surface, exported components, package version, and dependency boundary.
ZIP / tgz archive: Offline package evidence when links are private, temporary, or incomplete.

Decision frame

Do not prompt from vibes alone

Evidence first

The prompt should name exact source types so the builder knows which artifacts define the design system.

Gaps are output

Missing tokens, variants, states, screenshots, or docs should become explicit gaps, not hallucinated UI rules.

QA after generation

Responsive layout, accessibility, token use, component fidelity, and visual drift need a separate review pass.

Sources

Evidence used by this tool

v0 Design Systems 2.0 docs

Design-system import sources including GitHub, Figma, links, attachments, notes, and source-grounded verification.

Open source

v0 legacy design systems docs

Tailwind, globals.css, shadcn/ui, and registry-style context for custom design systems.

Open source

Framer AI page

AI agent workflows for generating layouts, editing code, reviewing site issues, CMS work, and external agents.

Open source

Framer design page

Responsive layout, branches, comments, CMS, SEO, and external agent context for site design work.

Open source

Design System Prompt Generator FAQ

Open the details when you need source, import, or checker guidance.

What should I include before importing a design system into v0 or Framer?+

Include the source artifacts that prove how the system works: component source, visual frames, docs, tokens, screenshots, package exports, and usage examples. A prompt should tell the builder which evidence is authoritative and which gaps must not be invented.

Can this tool import my design system directly?+

No. This GetLLMs tool produces a prompt, source checklist, QA checklist, and gap report. You still paste or attach those sources inside v0, Framer, or your coding-agent workflow.

Why does the checker warn about missing sources?+

Design-system generation fails when the builder has only brand words and no verifiable components, tokens, states, or screenshots. The checker highlights missing evidence so the AI builder does not invent unsupported details.

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