## Major Changes
### 1. Remove MCP Calls (Philosophy-Driven Refinement)
- Eliminated all 13 MCP queries (4 per variant + 1 accessibility)
- Replaced with pure AI philosophy-driven token refinement
- Uses design_attributes from extract phase to map to token values
- Performance: ~50% faster execution (~60s vs ~120s)
- Quality: Better variant divergence (no trend pollution)
### 2. Fix Path Naming Inconsistency
- Fixed mismatch: `style-variant-1/` → `style-1/`
- mkdir creates: style-1/, style-2/, style-3/
- Agent now writes to matching directories using loop index {N}
- Added CRITICAL PATH MAPPING section for clarity
## Technical Details
**MCP Removal:**
- Step 1: Trend Research → Load Design Philosophy
- Step 2: Added attribute-to-token mapping rules
- Agent prompt: Removed MCP integration code
- All accessibility validation uses built-in AI knowledge
**Path Fix:**
- Unified on numeric index format: style-{N}/ (N = 1-based loop index)
- Updated 9 path references throughout the file
- Separated variant.id (metadata) from directory names (numeric index)
- Added examples and clarifications for agent implementation
## Impact
- MCP calls: 13 → 0 (-100%)
- Execution time: ~120s → ~60s (-50%)
- Variant divergence: Medium → High
- Path consistency: Broken → Fixed
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
22 KiB
name, description, usage, argument-hint, parameters, examples, allowed-tools
| name | description | usage | argument-hint | parameters | examples | allowed-tools | |||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| consolidate | Consolidate style variants into independent design systems and plan layout strategies | /workflow:ui-design:consolidate [--base-path <path>] [--session <id>] [--variants <count>] [--layout-variants <count>] | [--base-path ".workflow/WFS-xxx/design-run-xxx"] [--variants 3] [--layout-variants 3] |
|
|
TodoWrite(*), Read(*), Write(*), Bash(*), Task(*) |
Design System Consolidation Command
Overview
Consolidate user-selected style variants into independent production-ready design systems. This command serves as the Style Planning Phase, focusing exclusively on design tokens and style guides for the subsequent generation phase.
Core Philosophy
- Style System Focus: Exclusively handles design system consolidation
- Agent-Driven: Uses ui-design-agent for multi-file generation efficiency
- Separate Design Systems: Generates N independent design systems (one per variant)
- Token Refinement: Refines
proposed_tokensfrom each variant into complete systems - Intelligent Synthesis: Ensures completeness and consistency
- Production-Ready: Complete design system(s) with documentation
- Matrix-Ready: Provides style variants for style × layout matrix exploration in generate phase
Execution Protocol
Phase 1: Path Resolution & Variant Loading
# Determine base path
IF --base-path: base_path = {provided_base_path}
ELSE IF --session: base_path = find_latest_path_matching(".workflow/WFS-{session}/design-*")
ELSE: base_path = find_latest_path_matching(".workflow/.design/*")
# Verify extraction output exists
style_cards_path = "{base_path}/style-extraction/style-cards.json"
VERIFY: exists(style_cards_path)
# Load style cards
style_cards = Read(style_cards_path)
total_variants = len(style_cards.style_cards)
Phase 2: Variant Selection
# Determine how many variants to consolidate
IF --variants:
variants_count = {provided_count}
VALIDATE: 1 <= variants_count <= total_variants
ELSE:
variants_count = total_variants
# Select first N variants
selected_variants = style_cards.style_cards[0:variants_count]
VERIFY: selected_variants.length > 0
REPORT: "📦 Generating {variants_count} independent design systems"
Phase 3: Load Design Context (Optional)
# Load brainstorming context if available
design_context = ""
IF exists({base_path}/.brainstorming/synthesis-specification.md):
design_context = Read(synthesis-specification.md)
ELSE IF exists({base_path}/.brainstorming/ui-designer/analysis.md):
design_context = Read(ui-designer/analysis.md)
# Load design space analysis from extraction phase
design_space_analysis = {}
design_space_path = "{base_path}/style-extraction/design-space-analysis.json"
IF exists(design_space_path):
design_space_analysis = Read(design_space_path)
REPORT: "📊 Loaded design space analysis with {len(design_space_analysis.divergent_directions)} variant directions"
ELSE:
REPORT: "⚠️ No design space analysis found - will refine tokens from proposed_tokens only"
Phase 4: Design System Synthesis (Agent Execution)
REPORT: "🤖 Using agent for separate design system generation..."
# Create output directories
Bash(mkdir -p "{base_path}/style-consolidation/style-{{1..{variants_count}}}")
# Prepare agent task prompt with clear task identifier
agent_task_prompt = """
[DESIGN_TOKEN_GENERATION_TASK]
CRITICAL: You MUST use Write() tool to create files. DO NOT return file contents as text.
## Task Summary
Generate {variants_count} independent design systems using philosophy-driven refinement and WRITE files directly (NO MCP calls).
## Context
SESSION: {session_id}
MODE: Separate design system generation with philosophy-driven refinement (NO MCP)
BASE_PATH: {base_path}
VARIANTS TO PROCESS: {variants_count}
## Variant Data
CRITICAL PATH MAPPING:
- Variant 1 (id: {variant.id}) → Output directory: style-1/
- Variant 2 (id: {variant.id}) → Output directory: style-2/
- Variant N (id: {variant.id}) → Output directory: style-N/
Use loop index (1-based) for directory names, NOT variant.id.
{FOR each variant IN selected_variants with index N (1-based):
---
VARIANT INDEX: {N} (use this for directory: style-{N}/)
Variant ID: {variant.id} (metadata only, DO NOT use in paths)
Name: {variant.name}
Description: {variant.description}
Design Philosophy: {variant.design_philosophy}
Proposed Tokens: {JSON.stringify(variant.proposed_tokens, null, 2)}
---
}
{IF design_context: DESIGN CONTEXT (from brainstorming): {design_context}}
{IF design_space_analysis:
## Design Space Analysis (for Philosophy-Driven Refinement)
{JSON.stringify(design_space_analysis, null, 2)}
Note: Each variant has design_attributes and anti_keywords for token refinement.
Use philosophy_name and design_attributes to guide token generation WITHOUT external research.
}
## Task
For EACH variant (1 to {variants_count}):
1. **Load variant's design philosophy and attributes** (from design_space_analysis)
2. **Refine design tokens** using philosophy-driven strategy (NO external research)
3. **Generate and WRITE 2 files** to the file system
## Step 1: Load Design Philosophy (No MCP Calls)
IF design_space_analysis is provided:
FOR EACH variant:
1. **Extract Design Direction**: Load philosophy_name, design_attributes, search_keywords, anti_keywords
2. **Use as Refinement Guide**: Apply philosophy and attributes to token generation
3. **Enforce Constraints**: Avoid characteristics listed in anti_keywords
4. **Maintain Divergence**: Ensure tokens differ from other variants based on attributes
ELSE:
Refine tokens based solely on variant's proposed_tokens and design_philosophy from style-cards.json
## Philosophy-Driven Refinement Strategy
**Core Principles**:
- Use variant's design_attributes as primary guide (color saturation, visual weight, formality, organic/geometric, innovation, density)
- Apply anti_keywords as explicit constraints during token selection
- Ensure WCAG AA accessibility using built-in AI knowledge (4.5:1 text, 3:1 UI)
- Preserve maximum contrast between variants from extraction phase
**Refinement Process** (Apply to each variant):
1. **Colors**: Generate palette based on saturation attribute
- "monochrome" → low chroma values (oklch L 0.00-0.02 H)
- "vibrant" → high chroma values (oklch L 0.20-0.30 H)
2. **Typography**: Select font families matching formality level
- "playful" → rounded, friendly fonts
- "luxury" → serif, elegant fonts
3. **Spacing**: Apply density attribute
- "spacious" → larger spacing scale (e.g., "4": "1.5rem")
- "compact" → smaller spacing scale (e.g., "4": "0.75rem")
4. **Shadows**: Match visual weight
- "minimal" → subtle shadows with low opacity
- "bold" → strong shadows with higher spread
5. **Border Radius**: Align with organic/geometric attribute
- "organic" → larger radius values (xl: "1.5rem")
- "brutalist" → minimal radius (xl: "0.125rem")
6. **Innovation**: Influence overall token adventurousness
- "timeless" → conservative, proven values
- "experimental" → unconventional token combinations
## Step 2: Refinement Rules (apply to each variant)
1. **Complete Token Coverage**: Ensure all categories present (colors, typography, spacing, etc.)
2. **Fill Gaps**: Generate missing tokens based on variant's philosophy and design_attributes
3. **Maintain Style Identity**: Preserve unique characteristics from proposed tokens
4. **Semantic Naming**: Use clear names (e.g., "brand-primary" not "color-1")
5. **Accessibility**: Validate WCAG AA contrast using built-in AI knowledge (4.5:1 text, 3:1 UI)
6. **OKLCH Format**: All colors use oklch(L C H / A) format
7. **Design Philosophy**: Expand variant's design philosophy based on its attributes
8. **Divergence Preservation**: Apply anti_keywords to prevent convergence with other variants
## Step 3: FILE WRITE OPERATIONS (CRITICAL)
**EXECUTION MODEL**: For EACH variant (1 to {variants_count}):
1. Load design philosophy and attributes
2. Refine tokens using philosophy-driven strategy
3. **IMMEDIATELY Write() files - DO NOT accumulate, DO NOT return as text**
### Required Write Operations Per Variant
For variant with loop index {N} (e.g., 1st variant = N=1, 2nd variant = N=2), execute these Write() operations:
#### Write Operation 1: Design Tokens
**Path**: `{base_path}/style-consolidation/style-{N}/design-tokens.json`
**Method**: `Write(path, JSON.stringify(tokens, null, 2))`
**Example**: For 1st variant → `{base_path}/style-consolidation/style-1/design-tokens.json`
**Content Structure**:
```json
{
"colors": {
"brand": {"primary": "oklch(...)", "secondary": "oklch(...)", "accent": "oklch(...)"},
"surface": {"background": "oklch(...)", "elevated": "oklch(...)", "overlay": "oklch(...)"},
"semantic": {"success": "oklch(...)", "warning": "oklch(...)", "error": "oklch(...)", "info": "oklch(...)"},
"text": {"primary": "oklch(...)", "secondary": "oklch(...)", "tertiary": "oklch(...)", "inverse": "oklch(...)"},
"border": {"default": "oklch(...)", "strong": "oklch(...)", "subtle": "oklch(...)"}
},
"typography": {"font_family": {...}, "font_size": {...}, "font_weight": {...}, "line_height": {...}, "letter_spacing": {...}},
"spacing": {"0": "0", "1": "0.25rem", ..., "24": "6rem"},
"border_radius": {"none": "0", "sm": "0.25rem", ..., "full": "9999px"},
"shadows": {"sm": "...", "md": "...", "lg": "...", "xl": "..."},
"breakpoints": {"sm": "640px", ..., "2xl": "1536px"}
}
Write Operation 2: Style Guide
Path: {base_path}/style-consolidation/style-{N}/style-guide.md
Method: Write(path, guide_markdown_content)
Example: For 2nd variant → {base_path}/style-consolidation/style-2/style-guide.md
Content Structure:
# Design System Style Guide - {variant.name}
## Design Philosophy
{Expanded variant philosophy}
## Color System
### Brand Colors, Surface Colors, Semantic Colors, Text Colors, Border Colors
{List all with usage and accessibility notes}
## Typography
### Font Families, Type Scale, Usage Examples
{Complete typography documentation}
## Spacing System, Component Guidelines
{Spacing patterns and component token examples}
## Accessibility
- All text meets WCAG AA (4.5:1 minimum)
- UI components meet WCAG AA (3:1 minimum)
- Focus indicators are clearly visible
Execution Checklist (Per Variant)
For each variant from 1 to {variants_count} (use loop index N):
- Extract variant's philosophy, design_attributes, and anti_keywords
- Apply philosophy-driven refinement strategy to proposed_tokens
- Generate complete token set following refinement rules
- EXECUTE:
Write("{base_path}/style-consolidation/style-{N}/design-tokens.json", tokens_json)- Example: 1st variant →
style-1/design-tokens.json
- Example: 1st variant →
- EXECUTE:
Write("{base_path}/style-consolidation/style-{N}/style-guide.md", guide_content)- Example: 1st variant →
style-1/style-guide.md
- Example: 1st variant →
- Verify both files written successfully
Verification After Each Write
// Immediately after Write() for each file (use loop index N):
Bash(`ls -lh "{base_path}/style-consolidation/style-{N}/"`)
// Example: For 1st variant → ls -lh ".../style-1/"
// Confirm file exists and has reasonable size (>1KB)
## Expected Final Report
After completing all {variants_count} variants, report:
✅ Variant 1 ({variant_name}):
- design-tokens.json: 12.5 KB | {token_count} tokens
- style-guide.md: 8.3 KB ✅ Variant 2 ({variant_name}):
- design-tokens.json: 11.8 KB | {token_count} tokens
- style-guide.md: 7.9 KB ... (for all variants)
Summary: {variants_count} design systems generated with philosophy-driven refinement (zero MCP calls)
## KEY REMINDERS (CRITICAL)
**ALWAYS:**
- Use Write() tool for EVERY file - this is your PRIMARY responsibility
- Write files immediately after generating content for each variant
- Verify each Write() operation succeeds before proceeding
- Use loop index (N) for directory names: `{base_path}/style-consolidation/style-{N}/...`
- 1st variant → `style-1/`, 2nd variant → `style-2/`, etc.
- DO NOT use variant.id in paths (metadata only)
- Apply philosophy-driven refinement strategy for each variant
- Maintain variant divergence using design_attributes and anti_keywords
- Report completion with file paths and sizes
**NEVER:**
- Return file contents as text with labeled sections
- Accumulate all content and try to output at once
- Skip Write() operations and expect orchestrator to write files
- Use relative paths or modify provided paths
- Use external research or MCP calls (pure AI refinement only)
- Generate variant N+1 before completing variant N writes
"""
# Dispatch to ui-design-agent with task prompt
Task(subagent_type="ui-design-agent", description="Generate {variants_count} separate design systems", prompt=agent_task_prompt)
REPORT: "✅ Agent task dispatched for {variants_count} design systems"
Phase 5: Verify Agent File Creation
REPORT: "📝 Verifying agent file creation for {variants_count} design systems..."
# Verify each variant's files were created by agent (use numeric index)
FOR N IN range(1, variants_count + 1):
tokens_path = "{base_path}/style-consolidation/style-{N}/design-tokens.json"
guide_path = "{base_path}/style-consolidation/style-{N}/style-guide.md"
# Verify files exist
VERIFY: exists(tokens_path), "Design tokens not created by agent for style-{N}"
VERIFY: exists(guide_path), "Style guide not created by agent for style-{N}"
# Optional: Validate JSON structure
TRY:
tokens = Read(tokens_path)
tokens_json = parse_json(tokens)
VALIDATE: tokens_json.colors exists, "Missing colors in design-tokens.json"
VALIDATE: tokens_json.typography exists, "Missing typography in design-tokens.json"
VALIDATE: tokens_json.spacing exists, "Missing spacing in design-tokens.json"
tokens_size = get_file_size(tokens_path)
guide_size = get_file_size(guide_path)
REPORT: " ✅ style-{N}/ verified ({tokens_size} KB tokens, {guide_size} KB guide)"
CATCH error:
ERROR: "Validation failed for style-{N}: {error}"
REPORT: " ⚠️ Files exist but validation failed - review agent output"
REPORT: "✅ All {variants_count} design systems verified"
Output Structure:
{base_path}/style-consolidation/
├── style-1/ (design-tokens.json, style-guide.md)
├── style-2/ (same structure)
└── style-N/ (same structure)
Phase 6: Completion & Reporting
TodoWrite({todos: [
{content: "Load session and style cards", status: "completed", activeForm: "Loading style cards"},
{content: "Select variants for consolidation", status: "completed", activeForm: "Selecting variants"},
{content: "Load design context and space analysis", status: "completed", activeForm: "Loading context"},
{content: "Apply philosophy-driven refinement", status: "completed", activeForm: "Refining design tokens"},
{content: "Generate design systems via agent", status: "completed", activeForm: "Generating design systems"},
{content: "Process agent results and write files", status: "completed", activeForm: "Writing output files"}
]});
Completion Message:
✅ Design system consolidation complete for session: {session_id}
{IF design_space_analysis:
🎨 Philosophy-Driven Refinement:
- {variants_count} design systems generated from AI-analyzed philosophies
- Zero MCP calls (pure AI token refinement)
- Divergence preserved from extraction phase design_attributes
- Each variant maintains unique style identity via anti_keywords
}
Generated {variants_count} independent design systems:
{FOR each variant: - {variant.name} ({variant.id})}
📂 Output: {base_path}/style-consolidation/
├── style-1/ (design-tokens.json, style-guide.md)
├── style-2/ (same structure)
└── style-{variants_count}/ (same structure)
Next: /workflow:ui-design:generate --session {session_id} --style-variants {variants_count} --targets "dashboard,auth" --layout-variants N
Note: When called from /workflow:ui-design:explore-auto, UI generation is triggered automatically.
Layout planning is now handled in the generate phase for each specific target.
design-tokens.json Format
Token structure (all variants follow identical structure with different values):
{
"colors": {
"brand": {"primary": "oklch(...)", "secondary": "oklch(...)", "accent": "oklch(...)"},
"surface": {"background": "oklch(...)", "elevated": "oklch(...)", "overlay": "oklch(...)"},
"semantic": {"success": "oklch(...)", "warning": "oklch(...)", "error": "oklch(...)", "info": "oklch(...)"},
"text": {"primary": "oklch(...)", "secondary": "oklch(...)", "tertiary": "oklch(...)", "inverse": "oklch(...)"},
"border": {"default": "oklch(...)", "strong": "oklch(...)", "subtle": "oklch(...)"}
},
"typography": {
"font_family": {"heading": "...", "body": "...", "mono": "..."},
"font_size": {"xs": "...", "sm": "...", "base": "...", "lg": "...", "xl": "...", "2xl": "...", "3xl": "...", "4xl": "..."},
"font_weight": {"normal": "400", "medium": "500", "semibold": "600", "bold": "700"},
"line_height": {"tight": "1.25", "normal": "1.5", "relaxed": "1.75"},
"letter_spacing": {"tight": "-0.025em", "normal": "0", "wide": "0.025em"}
},
"spacing": {"0": "0", "1": "0.25rem", ..., "24": "6rem"},
"border_radius": {"none": "0", "sm": "0.25rem", ..., "full": "9999px"},
"shadows": {"sm": "...", "md": "...", "lg": "...", "xl": "..."},
"breakpoints": {"sm": "640px", "md": "768px", "lg": "1024px", "xl": "1280px", "2xl": "1536px"}
}
Requirements: All colors in OKLCH format, complete token coverage, semantic naming
Error Handling
- No style cards found: Report error, suggest running
/workflow:ui-design:extractfirst - Invalid variant count: List available count, auto-select all if called from auto workflow
- Parsing errors: Retry with stricter format instructions
- Validation warnings: Report but continue (non-blocking)
- Missing categories: Claude will fill gaps based on design philosophy
Key Features
- Philosophy-Driven Refinement - Pure AI token refinement based on design_space_analysis from extraction phase; Uses variant-specific philosophies and design_attributes as refinement rules; Preserves maximum contrast without external trend pollution; Zero MCP calls = faster execution + better divergence preservation
- Agent-Driven Architecture - Uses ui-design-agent for multi-file generation; Processes N variants with philosophy-guided synthesis; Structured output with deterministic token generation; Agent applies design attributes directly to token values
- Separate Design Systems (Matrix-Ready) - Generates N independent design systems (one per variant); Each variant maintains unique style identity from extraction phase; Provides style foundation for style × layout matrix exploration in generate phase
- Token Refinement with AI Guidance - Reads
proposed_tokensfrom style cards; Loads design_space_analysis for philosophy and attributes; Applies attributes to token generation (saturation → chroma, density → spacing, etc.); Refines tokens while maintaining variant divergence through anti_keywords - Complete Design System Output - design-tokens.json (CSS tokens per variant); style-guide.md (documentation per variant with philosophy explanation)
- Production-Ready Quality - WCAG AA accessibility validation using built-in AI knowledge (4.5:1 text, 3:1 UI); OKLCH color format for perceptual uniformity; Semantic token naming; Complete token coverage
- Streamlined Workflow - Sequential phases with clear responsibilities; Agent handles philosophy-driven token refinement and file generation; Reproducible with deterministic structure; Context-aware (integrates brainstorming and design space analysis); ~30-60s faster without MCP overhead
- Divergence Preservation - Strictly follows design_space_analysis constraints from extraction; Applies anti_keywords to prevent variant convergence; Maintains maximum variant contrast through attribute-driven generation; No external research = pure philosophical consistency
Integration Points
- Input:
style-cards.jsonfrom/workflow:ui-design:extract(withproposed_tokens)design-space-analysis.jsonfrom extraction phase (with philosophy and design_attributes)--variantsparameter (default: all variants)
- Output: Style Systems:
style-consolidation/style-{N}/design-tokens.jsonandstyle-guide.mdfor each variant (refined with philosophy-driven approach), where N is the variant index (1, 2, 3...) - Context: Optional
synthesis-specification.mdorui-designer/analysis.md - Auto Integration: Automatically triggered by
/workflow:ui-design:explore-autoworkflow - Next Command:
/workflow:ui-design:generate --style-variants N --targets "..." --layout-variants Mperforms target-specific layout planning