Design Context Extract

design-context-extract /tmp/screenshot.png       # From screenshot
design-context-extract /tmp/recording.mp4         # From screen recording (motion spec)
design-context-extract https://example.com        # From live URL
design-context-extract current project            # Scan project's existing styles

Input (screenshot/URL/project)
  │
  ▼
┌──────────────────────────────┐
│ Capture                       │  Screenshot or fetch HTML/CSS
└──────────┬───────────────────┘
           │
           ▼
┌──────────────────────────────┐
│ Extract                       │  Stitch get_screen + generate_screen_from_text
│                               │  OR multimodal analysis (fallback)
│ → Colors (hex + oklch)        │
│ → Typography (families, scale)│
│ → Spacing (padding, gaps)     │
│ → Components (structure)      │
└──────────┬───────────────────┘
           │
           ▼
┌──────────────────────────────┐
│ Output                        │  Choose format:
│ → design-tokens.json (W3C)    │
│ → @theme (Tailwind v4)        │
│ → tokens.css (CSS variables)  │
│ → Markdown spec               │
└──────────────────────────────┘

INPUT = ""

# 1. Create main task IMMEDIATELY
TaskCreate(subject="Extract design context: {INPUT}", description="Extract design DNA", activeForm="Extracting design from {INPUT}")

# 2. Create subtasks for each phase
TaskCreate(subject="Detect input type and context", activeForm="Detecting input type")             # id=2
TaskCreate(subject="Capture source material", activeForm="Capturing source")                       # id=3
TaskCreate(subject="Extract design tokens", activeForm="Extracting tokens")                        # id=4
TaskCreate(subject="Choose output format and generate", activeForm="Generating output")            # id=5
TaskCreate(subject="Recommend shadcn/ui style", activeForm="Recommending style")                   # id=6

# 3. Set dependencies for sequential phases
TaskUpdate(taskId="3", addBlockedBy=["2"])  # Capture needs input type detected
TaskUpdate(taskId="4", addBlockedBy=["3"])  # Extraction needs captured source
TaskUpdate(taskId="5", addBlockedBy=["4"])  # Output needs extracted tokens
TaskUpdate(taskId="6", addBlockedBy=["5"])  # Style recommendation needs output

# 4. Update status as you progress
TaskUpdate(taskId="2", status="in_progress")  # When starting
TaskUpdate(taskId="2", status="completed")    # When done — repeat for each subtask

# Determine input type
# "/path/to/file.png" → screenshot
# "/path/to/file.mp4|.mov|.webm|.gif" → screen recording (video pipeline)
# "http..." → URL
# "current project" → scan project styles

# If stitch available:
#   list_projects / get_project to locate the project
#   generate_screen_from_text once for the URL goal (can take minutes; DO NOT RETRY;
#     on timeout poll get_screen every 30 s up to 10 times)
#   list_screens, then get_screen(name="projects/{projectId}/screens/{screenId}")
#   fetch download URLs from the response
# If not: WebFetch the URL and analyze HTML/CSS

Grep("@theme", glob="**/*.css")   # Tailwind v4: theme lives in CSS, not a config file
Glob("**/tailwind.config.*")      # Tailwind v3 only (v4 ignores this file)
Glob("**/tokens.css")
Glob("**/*.css")  # Look for design token files
Glob("**/theme.*")
# Read and analyze existing style definitions

# 1. Probe: duration, dimensions, frame rate
ffprobe -v error -show_entries format=duration,size:stream=width,height,r_frame_rate -of json "$VIDEO"

# 2. Extract frames at timeline beats — NOT uniform thumbnails.
#    Pass A: 1fps sweep to locate transitions; Pass B: re-extract around detected beats.
mkdir -p "$SCRATCHPAD/video-frames"
ffmpeg -y -i "$VIDEO" -vf fps=1 "$SCRATCHPAD/video-frames/frame-%03d.jpg"
# For scroll-heavy or long videos also grab start / middle / end explicitly.

# Live Stitch MCP tools (https://stitch.googleapis.com/mcp), matching
# design-context-extractor agent grants:
#   - list_projects() / get_project(projectId)
#   - list_screens(projectId)
#   - get_screen(name="projects/{projectId}/screens/{screenId}")
#       ONE required param: name. Returns screen details including download URLs
#   - generate_screen_from_text(projectId, prompt)
#       quota-costing write; can take a few minutes. DO NOT RETRY.
#       On timeout: poll get_screen(name=...) every 30 s, up to 10 times.
#
# Flow: generate_screen_from_text once (or reuse an existing screen) →
# list_screens → get_screen(name=...) → fetch download URLs for multimodal extract.
#
# Also consider Figma Dev Mode MCP as a complementary extraction path
# when the source is a Figma file:
#   - get_variable_defs    → design tokens straight from Figma variables
#   - get_design_context   → layout + typography + spacing
#   - search_design_system → locate existing tokens/components

# Multimodal analysis of screenshot:
# - Identify dominant colors (sample from regions)
# - Detect font families and size hierarchy
# - Measure spacing patterns
# - Catalog component types (cards, buttons, headers, etc.)
#
# For URLs: parse CSS custom properties, Tailwind config, computed styles

{
  "colors": {
    "primary": { "hex": "#3B82F6", "oklch": "oklch(0.62 0.21 255)" },
    "secondary": { "hex": "#10B981", "oklch": "oklch(0.69 0.17 163)" },
    "background": { "hex": "#FFFFFF" },
    "text": { "hex": "#1F2937" },
    "muted": { "hex": "#9CA3AF" }
  },
  "typography": {
    "heading": { "family": "Inter", "weight": 700 },
    "body": { "family": "Inter", "weight": 400 },
    "scale": [12, 14, 16, 18, 24, 30, 36, 48]
  },
  "spacing": {
    "base": 4,
    "scale": [4, 8, 12, 16, 24, 32, 48, 64]
  },
  "components": ["navbar", "hero", "card", "button", "footer"]
}

AskUserQuestion(questions=[{
  "question": "Output format for extracted tokens?",
  "header": "Format",
  "options": [
    {"label": "Tailwind @theme (Recommended)", "description": "@theme block in the CSS entry (app.css) with extracted theme values"},
    {"label": "W3C Design Tokens", "description": "design-tokens.json following W3C DTCG spec"},
    {"label": "CSS Variables", "description": "tokens.css with CSS custom properties"},
    {"label": "Markdown spec", "description": "Human-readable design specification document"}
  ],
  "multiSelect": false
}])

/* app.css: the recommended Tailwind output */
@import "tailwindcss";

@theme {
  --color-primary: oklch(0.62 0.21 255);
  --font-sans: "Inter", system-ui, sans-serif;
  --spacing: 0.25rem;
}