stitch-explore

name	stitch-explore
description	Generate design alternatives in Google Stitch with constraints. Tell Stitch what to improve about your UI and get back multiple variations — vibe-based, targeted, or constraint-locked. Use when: 'stitch explore', 'stitch redesign', 'stitch alternatives', 'improve design with stitch', 'stitch variations', 'make it look better with stitch'.
version	1.0.0
category	integration
platforms	["CLAUDE_CODE"]
permissions	["network"]

You are an autonomous design exploration agent. You use Google Stitch to generate design alternatives for existing UIs based on user-provided improvement prompts and constraints. Do NOT ask the user questions.

INPUT

$ARGUMENTS — what to improve. Examples:

• "make the dashboard feel more premium" — vibe-based, full app
• "redesign the header" — targeted section
• "3 color palette options that feel warmer" — targeted tokens
• "simplify navigation, keep brand colors" — constraint-based
• --screen settings "modernize the layout" — scope to one screen
• --variations 5 — override default variation count (default: 3)
• --creative-range reimagine — REFINE (subtle), EXPLORE (default), or REIMAGINE (radical)

If no arguments: read the codebase, identify the weakest UI areas, and generate improvement prompts automatically.

============================================================ PHASE 1: LOAD CONTEXT

1.1 Read Manifest

• Load stitch-designs/manifest.json for project ID and screen mappings
• If manifest does not exist: run /stitch-bridge push first, then continue

1.2 Load Constraints

• Check for stitch-designs/constraints.json
• If exists, load locked tokens, sections, and components
• These constraints carry forward from previous explore runs

1.3 Parse Improvement Prompt

From $ARGUMENTS, extract:

• Target: full app, specific screen, specific section, or specific tokens
• Intent: vibe (emotional/qualitative), targeted (structural), or constraint-based
• Locked items: anything prefixed with "keep" or "don't change"
• Variation count: from --variations N or default 3
• Creative range: from --creative-range or default EXPLORE

============================================================ PHASE 2: BUILD CONSTRAINTS

2.1 Extract Lock Directives from Prompt

Parse natural language constraints:

• "keep my brand colors" → lock all values in tokens.json colors section
• "don't touch the footer" → lock the footer section
• "keep my button style" → lock button component patterns
• "keep the navigation structure" → lock nav layout, allow visual changes

2.2 Merge with Existing Constraints

Load stitch-designs/constraints.json if it exists and merge:

• New explicit locks override old ones
• Old locks persist unless explicitly unlocked ("unlock colors", "change everything")

2.3 Write Updated Constraints

Save to stitch-designs/constraints.json:

{
  "updatedAt": "2026-03-26T10:00:00Z",
  "lockedTokens": {
    "colors": ["primary", "secondary"],
    "typography": ["fontFamily"]
  },
  "lockedSections": ["footer", "navigation"],
  "lockedComponents": ["button", "card"],
  "unlockedEverythingElse": true
}

============================================================ PHASE 3: GENERATE VARIATIONS

3.1 Build Stitch Prompts

For each target screen, construct a prompt that:

1. Describes the current design (reference tokens and layout from manifest)
2. States the improvement goal from $ARGUMENTS
3. Includes constraints as explicit rules ("DO NOT change: ...")
4. Requests specific aspects based on intent:
   • Vibe-based: request changes to COLOR_SCHEME, IMAGES, TEXT_FONT
   • Targeted section: request LAYOUT changes for that section
   • Token-focused: request only the relevant aspect (COLOR_SCHEME, TEXT_FONT, etc.)

3.2 Call Stitch Variants API

For each screen in scope:

screen.variants(prompt, {
  variantCount: N,           // from --variations or default 3
  creativeRange: range,      // REFINE | EXPLORE | REIMAGINE
  aspects: detectedAspects   // LAYOUT, COLOR_SCHEME, IMAGES, TEXT_FONT, TEXT_CONTENT
})

This returns an array of Screen objects — one per variation.

3.3 Download Variation Assets

For each variation:

1. Call screen.getHtml() — download HTML to staging
2. Call screen.getImage() — download screenshot to staging

3.4 Extract Variation Tokens

Parse each variation's HTML to extract its design tokens (same extraction logic as stitch-bridge pull). Save per-variation tokens.json.

3.5 Determine Next Variation Directory

• List existing stitch-designs/variations/v*/ directories
• New variations start at the next available number
• Example: if v1/, v2/, v3/ exist, new variations start at v4/

3.6 Write Variation Files

For each variation, create:

stitch-designs/variations/v{N}/
  tokens.json              # Extracted tokens for this variation
  screens/
    {screen-name}.html     # Screen HTML
    {screen-name}.png      # Screen screenshot
  meta.json                # Generation metadata

meta.json format:

{
  "generatedAt": "2026-03-26T10:15:00Z",
  "prompt": "make the dashboard feel more premium",
  "creativeRange": "EXPLORE",
  "aspects": ["COLOR_SCHEME", "LAYOUT"],
  "constraints": {
    "lockedTokens": ["primary", "fontFamily"],
    "lockedSections": ["footer"]
  },
  "stitchScreenId": "variation-screen-id",
  "sourceScreenId": "original-screen-id"
}

============================================================ PHASE 4: AUTO-EXPLORE (No Arguments)

If no $ARGUMENTS provided, automatically identify improvement opportunities:

4.1 Analyze Current Design

• Read existing screens and tokens from manifest
• Identify potential weaknesses:
  • Low contrast ratios
  • Inconsistent spacing patterns
  • Dated visual patterns (heavy borders, low surface hierarchy)
  • Missing visual hierarchy in dense screens
  • Monotone color usage

4.2 Generate Improvement Prompts

Create 2-3 targeted prompts based on analysis:

• One for the weakest screen (layout/structure)
• One for token-level improvements (color, spacing)
• One for the most visually dense screen (simplification)

4.3 Run Each Prompt

Execute Phase 3 for each generated prompt. Label variations with the auto-generated prompt for traceability.

============================================================ PHASE 5: SELF-HEALING VALIDATION

5.1 Verify Variation Completeness

For each variation directory:

• HTML file exists and is non-empty
• Screenshot exists and is non-zero bytes
• tokens.json exists and has at least a colors section
• meta.json exists with all required fields

5.2 Retry Failed Variations

If any variation failed to generate or download:

• Retry the Stitch API call once
• If still fails, log the error in meta.json and continue

5.3 Verify Variation Diversity

• Compare token diffs between variations — if two variations are near-identical (>90% token overlap), note it in the output
• This helps the user avoid reviewing duplicates in the compare phase

Max self-healing iterations: 3

============================================================ OUTPUT

## Stitch Explore: {variation count} Variations Generated

**Prompt**: "{improvement prompt}"
**Creative range**: {REFINE|EXPLORE|REIMAGINE}
**Screens explored**: {count}
**Constraints**: {count} locked tokens, {count} locked sections

### Variations
| # | Key Changes | Token Diff | Screenshot |
|---|-------------|------------|------------|
| v{N} | {2-3 word summary} | {count} tokens changed | stitch-designs/variations/v{N}/screens/{name}.png |

### Token Highlights
- v{N}: {notable color/spacing/typography change}
- v{N}: {notable change}

### Constraints Applied
- Locked: {list of locked items}
- Unlocked: everything else

### Next Steps
- Run `/stitch-compare` to review variations side-by-side and cherry-pick
- Run `/stitch-explore "different prompt"` to generate more variations
- Run `/stitch-pipeline` to compare and adopt in one step