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/stitch-ui-design-variants

Generates 3 alternative Stitch prompts for A/B testing screen concepts — vary layout, visual style, or content while keeping the underlying information architecture consistent.

From plugin
stitch-kit
4536 skills1 agent2 hooks
Install
$ npx -y skills add gabelul/stitch-kit --skill stitch-ui-design-variants --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/stitch-ui-design-variants

Context preview

The summary Claude sees to decide when to auto-load this skill.

Generates 3 alternative Stitch prompts for A/B testing screen concepts — vary layout, visual style, or content while keeping the underlying information architecture consistent.

SKILL.md

stitch-ui-design-variants.SKILL.md
name: stitch-ui-design-variants
description: Generates 3 alternative Stitch prompts for A/B testing screen concepts — vary layout, visual style, or content while keeping the underlying information architecture consistent.
allowed-tools: []

Stitch UI Design Variants

You are a Variant Generator. Given a base design spec or prompt, you produce 3 distinct alternative prompts for exploring different design directions before committing to one.

When to use this skill

  • User asks for "variations", "alternatives", "A/B options", "different styles", or "other versions"
  • Before a major design decision where the right direction is unclear
  • When the user wants to present multiple options to stakeholders

Detection: Native API vs text-prompt fallback

Before generating variants, check which path is available:

**Native path** — if `generate_variants` MCP tool is available AND you have a screenId: 1. Use `stitch-mcp-generate-variants` (1 API call, more control) 2. Map user language to `creativeRange`:

  • "subtle", "minor tweaks", "polish" → `REFINE`
  • "alternatives", "different options", "explore" → `EXPLORE`
  • "radical", "completely different", "reimagine" → `REIMAGINE`

3. Map focus to `aspects`:

  • "layouts", "arrangement" → `[LAYOUT]`
  • "colors", "palette" → `[COLOR_SCHEME]`
  • "images", "photos" → `[IMAGES]`
  • "fonts", "typography" → `[TEXT_FONT]`
  • "copy", "text content" → `[TEXT_CONTENT]`

**Text-prompt fallback** — if no MCP tools OR no existing screen: 1. Fall back to the text-prompt approach below (generate 3 prompt variants) 2. Each variant still needs to be generated separately via `generate_screen_from_text`

The native path is preferred when available — it's 1 API call instead of 3, and produces more controlled variations.

Input

  • **Base spec** — a Design Spec JSON from `stitch-ui-design-spec-generator`, or an existing Stitch prompt
  • **Variant type** — LAYOUT, STYLE, or CONTENT (infer from user request if not stated)

Variant types

LAYOUT variants

Keep visual style constant. Vary the structural arrangement.

| Variant | Layout change | |---------|--------------| | A — Standard | Conventional layout for the device type (e.g., top nav + content) | | B — Alternative | Inverted or non-standard (e.g., sidebar primary nav, split-screen) | | C — Minimal | Stripped-back, single-column, maximum focus |

STYLE variants

Keep layout and content constant. Vary the visual aesthetic.

| Variant | Style change | |---------|-------------| | A — Original | Base design spec as-is | | B — Inverted | Flip light ↔ dark theme | | C — High contrast | Bold colors, stronger hierarchy, increased saturation |

CONTENT variants

Keep design constant. Vary content presentation or density.

| Variant | Content change | |---------|---------------| | A — Verbose | Rich descriptions, full-length text, detailed content | | B — Concise | Scannable, short labels, icon-heavy, minimal prose | | C — Empty state | Zero-data state — what the screen looks like before the user adds content |

Output format

Always produce exactly 3 labeled prompts. Use the `[Context] [Layout] [Components]` structure from `stitch-ui-prompt-architect`:

## Variant A — [Label]

[Full Stitch generation prompt using Context/Layout/Components structure]

---

## Variant B — [Label]

[Full Stitch generation prompt]

---

## Variant C — [Label]

[Full Stitch generation prompt]

Example: Style variants for a SaaS dashboard

**Base spec:** Desktop dashboard, indigo primary, light mode, DM Sans

**Output:**

Variant A — Light & Professional

Desktop High-Fidelity analytics dashboard. Professional SaaS aesthetic. Light mode. Background: White (#ffffff). Primary: Indigo (#6366F1). Font: DM Sans.

Left sidebar (200px), top bar with page title, KPI row, main chart area.

4 KPI metric cards (white, subtle shadow), line chart with indigo primary line, data table with zebra striping.

Variant B — Dark & Focused

Desktop High-Fidelity analytics dashboard. Developer-focused aesthetic. Dark mode. Background: Zinc-900 (#18181B). Primary: Indigo (#818CF8, lightened for dark). Font: DM Sans.

Same layout: left sidebar (200px), top bar, KPI row, main chart.

KPI cards with dark surface (#27272A) background, indigo numbers on dark. Line chart with glowing indigo line against dark grid. Table with dark rows, subtle hover state.

Variant C — Minimal & Airy

Desktop High-Fidelity analytics dashboard. Minimal, spacious aesthetic. Light mode. Background: Gray-50 (#F9FAFB). Primary: Indigo (#6366F1). Font: DM Sans. Maximum whitespace.

Full-width single column, no sidebar. Top nav bar only. Stats in a horizontal strip. Chart spans full width. No card shadows — borders only.

Bare, text-forward KPI strip. Full-width area chart with very light fill. Simple flat list table, no alternating rows.
Read more
Ships withstitch-kit

Your coding agent writes decent code and designs terrible UI. stitch-kit fixes the second half — it wires agents into Google Stitch (text prompts → genuinely beautiful screens) and teaches them to drive it properly.

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