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Features: - Unified variant control: --variants parameter controls both style cards and UI prototypes - Agent creative exploration: --use-agent enables parallel generation of diverse designs - Dual mode support: standalone (no --session) and integrated (with --session) - Dual input sources: --images, --prompt, or hybrid (both) - Command simplification: most parameters now optional with smart defaults Changes: - auto.md: Added --variants, --use-agent, --prompt; dual mode detection - style-extract.md: Agent mode, text input, parallel variant generation - ui-generate.md: Agent mode, layout diversity, simplified execution - CHANGELOG.md: Complete v3.5.1 release notes Backward compatible: All existing commands continue to work 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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name, description, usage, argument-hint, examples, allowed-tools
| name | description | usage | argument-hint | examples | allowed-tools | |||
|---|---|---|---|---|---|---|---|---|
| style-extract | Extract design style from reference images or text prompts using triple vision analysis or agent mode | /workflow:design:style-extract [--session <id>] [--images "<glob>"] [--prompt "<desc>"] [--variants <count>] [--use-agent] | [--session WFS-xxx] [--images "refs/*.png"] [--prompt "Modern minimalist"] [--variants 3] [--use-agent] |
|
TodoWrite(*), Read(*), Write(*), Bash(*), Glob(*), Task(conceptual-planning-agent) |
Style Extraction Command
Overview
Extract design style elements from reference images using triple vision analysis: Claude Code's native vision, Gemini Vision for semantic understanding, and Codex for structured token generation.
Core Philosophy
- Dual Mode Support: Conventional triple vision OR agent-driven creative exploration
- Flexible Input: Images, text prompts, or both combined
- Variant Control: Generate N style cards based on
--variantsparameter (default: 3) - Consensus Synthesis: Multi-source analysis for quality assurance
- Style Card Output: Reusable design direction cards for consolidation phase
Execution Protocol
Phase 0: Mode & Parameter Detection
# Detect execution mode
IF --use-agent:
mode = "agent" # Agent-driven creative exploration
ELSE:
mode = "conventional" # Triple vision analysis
# Detect input source
IF --images AND --prompt:
input_mode = "hybrid" # Text guides image analysis
ELSE IF --images:
input_mode = "image"
ELSE IF --prompt:
input_mode = "text"
ELSE:
ERROR: "Must provide --images or --prompt"
# Detect session mode
IF --session:
session_mode = "integrated"
session_id = {provided_session}
base_path = ".workflow/WFS-{session_id}/"
ELSE:
session_mode = "standalone"
session_id = "design-session-" + timestamp()
base_path = "./{session_id}/"
# Set variant count
variants_count = --variants provided ? {count} : 3
VALIDATE: 1 <= variants_count <= 5
Phase 1: Input Validation & Preparation
# Validate and prepare inputs based on input_mode
IF input_mode IN ["image", "hybrid"]:
EXPAND: --images glob pattern to concrete paths
VERIFY: at least one image file exists
IF input_mode IN ["text", "hybrid"]:
VALIDATE: --prompt is non-empty string
# Create session directory structure
CREATE: {base_path}/.design/style-extraction/
Phase 2: Style Extraction Execution
Route based on mode:
A. Conventional Mode (Triple Vision)
Execute if mode == "conventional"
Step 1: Claude Code initial analysis
IF input_mode IN ["image", "hybrid"]:
FOR each image IN expanded_image_paths:
Read({image_path}) # Claude analyzes visuals
ELSE IF input_mode == "text":
# Analyze text prompt for design keywords
keywords = extract_design_keywords({prompt_text})
Write({base_path}/.design/style-extraction/claude_analysis.json)
Step 2: Gemini deep semantic analysis
context_arg = ""
IF input_mode IN ["image", "hybrid"]:
context_arg += "@{image_paths}"
IF input_mode IN ["text", "hybrid"]:
guidance = "GUIDED BY PROMPT: '{prompt_text}'"
bash(cd {base_path}/.design/style-extraction && \
~/.claude/scripts/gemini-wrapper --approval-mode yolo -p "
PURPOSE: Extract design semantics {guidance}
TASK: Generate {variants_count} distinct style directions
MODE: write
CONTEXT: {context_arg}
EXPECTED: {variants_count} style analysis variants in JSON
RULES: OKLCH colors, semantic naming, explore diverse themes
")
Step 3: Codex structured token generation
bash(codex -C {base_path}/.design/style-extraction --full-auto exec "
PURPOSE: Convert semantic analysis to structured tokens
TASK: Generate design-tokens.json and {variants_count} style-cards
MODE: auto
CONTEXT: @{claude_analysis.json,gemini output}
EXPECTED: design-tokens.json, style-cards.json with {variants_count} variants
RULES: OKLCH format, rem spacing, semantic names
" --skip-git-repo-check -s danger-full-access)
B. Agent Mode (Creative Exploration)
Execute if mode == "agent"
Agent-Driven Parallel Generation:
# Prepare base context
context_files = ""
IF input_mode IN ["image", "hybrid"]:
context_files += "@{image_paths}"
IF session_mode == "integrated":
context_files += "@{../../.brainstorming/synthesis-specification.md}"
# Define creative themes for diversity
themes = generate_creative_themes(variants_count)
# Example: ["Modern Minimalist", "Brutalist Tech", "Organic Warmth"]
# Launch parallel agent tasks
FOR i IN range(variants_count):
Task(conceptual-planning-agent): "
[FLOW_CONTROL]
Generate unique design style variant: '{themes[i]}'
## Context
INPUT_SOURCE: {input_mode}
PROMPT_GUIDANCE: {prompt_text if present else 'derive from images'}
THEME_FOCUS: {themes[i]}
OUTPUT_LOCATION: {base_path}/.design/style-extraction/
## Flow Steps
1. **analyze_input**
IF input_mode IN ['image', 'hybrid']:
Use Gemini Vision to analyze images with theme focus
IF input_mode IN ['text', 'hybrid']:
Use Gemini to expand prompt into detailed design philosophy
2. **generate_tokens**
Use Codex to create design-tokens subset for this variant
Output: variant-{i}-tokens.json
3. **create_style_card**
Synthesize into style card with:
- id: 'variant-{i}'
- name: '{themes[i]}'
- preview: key design token values
Output: variant-{i}-card.json
## Rules
- Focus on '{themes[i]}' aesthetic
- OKLCH colors, rem spacing, semantic naming
- Must be distinct from other variants
"
# Consolidate parallel results
Wait for all {variants_count} tasks to complete
Consolidate variant-*-card.json → style-cards.json
Merge variant-*-tokens.json → design-tokens.json (include all variants)
Output: style-cards.json with {variants_count} creatively distinct variants
Phase 3: TodoWrite & Completion
TodoWrite({
todos: [
{content: "Detect mode and validate inputs", status: "completed", activeForm: "Detecting mode"},
{content: "Execute style extraction (conventional/agent mode)", status: "completed", activeForm: "Extracting styles"},
{content: "Generate {variants_count} style cards", status: "completed", activeForm: "Generating style cards"}
]
});
Completion Message:
Style extraction complete for session: {session_id}
Mode: {mode} | Input: {input_mode} | Variants: {variants_count}
Generated {variants_count} style cards:
{list_variant_names}
Location: {base_path}/.design/style-extraction/
Next: /workflow:design:style-consolidate --session {session_id} --variants "{selected_ids}"
Output Structure
.workflow/WFS-{session}/.design/style-extraction/
├── semantic_style_analysis.json # Gemini Vision semantic analysis
├── design-tokens.json # Structured CSS tokens (OKLCH)
├── tailwind-tokens.js # Tailwind config extension
└── style-cards.json # Style variants for user selection
style-cards.json Format
{
"style_cards": [
{
"id": "variant-1",
"name": "Modern Minimalist",
"description": "Clean, high contrast with bold typography",
"preview": {
"primary": "oklch(0.45 0.20 270 / 1)",
"background": "oklch(0.98 0.01 270 / 1)",
"font_heading": "Inter, system-ui, sans-serif",
"border_radius": "0.5rem"
}
},
{
"id": "variant-2",
"name": "Soft Neumorphic",
"description": "Subtle shadows with gentle colors",
"preview": {
"primary": "oklch(0.60 0.10 200 / 1)",
"background": "oklch(0.95 0.02 200 / 1)",
"font_heading": "Poppins, sans-serif",
"border_radius": "1rem"
}
}
]
}
Error Handling
- No images found: Report error and suggest correct glob pattern
- Gemini Vision failure: Retry once, then fall back to manual style description
- Codex token generation failure: Use default token template and report warning
- Invalid session: Prompt user to start workflow session first
Integration Points
- Input: Reference images (PNG, JPG, WebP)
- Output: Style cards for
/workflow:design:style-consolidate - Context: Optional synthesis-specification.md or ui-designer/analysis.md
Next Steps
After successful extraction:
Style extraction complete for session: WFS-{session}
Style cards generated: {count}
Next: /workflow:design:style-consolidate --session WFS-{session} [--interactive]