From cb6e44efde677aadb0aa5b48558a08262c192bf8 Mon Sep 17 00:00:00 2001 From: catlog22 Date: Fri, 10 Oct 2025 13:24:48 +0800 Subject: [PATCH] refactor(ui-design): optimize workflow phases and token refinement strategy MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit **generate.md - Fix CSS variable naming mismatch**: - Move token conversion to Phase 1.6 (before agent generation) - Add Phase 1.7 to extract actual variable names from tokens.css - Update Phase 2a agent prompt to read tokens.css directly - Eliminate variable name guessing - agent uses actual file reference - Remove redundant token conversion from Phase 2b Benefits: - ✅ Eliminates CSS variable name mismatches - ✅ Single source of truth (tokens.css) - ✅ More reliable agent generation - ✅ Easier debugging **consolidate.md - Replace MCP research with philosophy-driven refinement**: - Remove variant-specific MCP trend research (4 queries per variant) - Use design_attributes from extraction phase as refinement rules - Apply philosophy-driven token generation (no external calls) - Preserve variant divergence through anti_keywords constraints - Faster execution (~30-60s saved per variant) Benefits: - ✅ Better divergence preservation - ✅ Faster workflow execution - ✅ Pure AI-driven refinement - ✅ Consistent with extraction phase philosophy 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude --- .../workflow/ui-design/consolidate.md | 146 +++++++++--------- .../commands/workflow/ui-design/generate.md | 145 ++++++++++------- 2 files changed, 159 insertions(+), 132 deletions(-) diff --git a/.claude/commands/workflow/ui-design/consolidate.md b/.claude/commands/workflow/ui-design/consolidate.md index 6e960f10..18a6fcf4 100644 --- a/.claude/commands/workflow/ui-design/consolidate.md +++ b/.claude/commands/workflow/ui-design/consolidate.md @@ -89,7 +89,7 @@ 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 - trend research will be skipped" + REPORT: "⚠️ No design space analysis found - will refine tokens from proposed_tokens only" ``` ### Phase 4: Design System Synthesis (Agent Execution) @@ -107,11 +107,11 @@ agent_task_prompt = """ CRITICAL: You MUST use Write() tool to create files. DO NOT return file contents as text. ## Task Summary -Generate {variants_count} independent design systems with MCP trend research and WRITE files directly. +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 MCP trend research +MODE: Separate design system generation with philosophy-driven refinement (NO MCP) BASE_PATH: {base_path} VARIANTS TO PROCESS: {variants_count} @@ -128,80 +128,74 @@ VARIANTS TO PROCESS: {variants_count} {IF design_context: DESIGN CONTEXT (from brainstorming): {design_context}} {IF design_space_analysis: -## Design Space Analysis (for MCP Research) +## Design Space Analysis (for Philosophy-Driven Refinement) {JSON.stringify(design_space_analysis, null, 2)} -Note: Each variant has search_keywords and anti_keywords for trend research. +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. **Perform Variant-Specific Trend Research** (if design space analysis available) -2. **Refine design tokens** using research insights +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: Variant-Specific Trend Research (MCP) +## Step 1: Load Design Philosophy (No MCP Calls) -IF design_space_analysis is provided, FOR EACH variant: +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 -1. **Extract Research Parameters** from design space analysis: - - philosophy_name: The variant's design philosophy - - search_keywords: Keywords for trend research - - anti_keywords: Patterns to avoid +ELSE: + Refine tokens based solely on variant's proposed_tokens and design_philosophy from style-cards.json -2. **Build Variant-Specific Queries**: - ```javascript - queries = [ - `{philosophy_name} UI design color palettes {search_keywords[:3]} 2024 2025`, - `{philosophy_name} typography trends {search_keywords[:3]} web design 2024`, - `{philosophy_name} layout patterns {search_keywords[:3]} design systems 2024`, - `design systems {philosophy_name} NOT {anti_keywords[:2]}` - ] - ``` +## Philosophy-Driven Refinement Strategy -3. **Execute MCP Searches**: - ```javascript - trend_research = { - colors: mcp__exa__web_search_exa(query=queries[0], numResults=5), - typography: mcp__exa__web_search_exa(query=queries[1], numResults=5), - layout: mcp__exa__web_search_exa(query=queries[2], numResults=5), - contrast: mcp__exa__web_search_exa(query=queries[3], numResults=5) - } - ``` +**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 -4. **Shared Accessibility Research** (execute once, apply to all variants): - ```javascript - accessibility_guidelines = mcp__exa__web_search_exa( - query="WCAG 2.2 accessibility color contrast ARIA best practices 2024", - numResults=3 - ) - ``` - -5. **Use Research Results** to inform token refinement: - - Color token refinement guided by `trend_research.colors` - - Typography refinement guided by `trend_research.typography` - - Layout spacing informed by `trend_research.layout` - - Contrast validation using `trend_research.contrast` and `accessibility_guidelines` - -IF design_space_analysis is NOT provided: -- Skip trend research -- Refine tokens based solely on variant's existing philosophy and proposed tokens +**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 trend research +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 accessibility guidelines (4.5:1 text, 3:1 UI) +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 using trend insights -8. **Trend Integration**: Incorporate modern trends from MCP research while maintaining variant identity +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. Perform MCP research -2. Refine tokens +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 @@ -259,9 +253,9 @@ For variant {variant_id}, execute these Write() operations: ### Execution Checklist (Per Variant) For each variant from 1 to {variants_count}: -- [ ] Extract variant data and design space keywords -- [ ] Execute 4 MCP queries (colors, typography, layout, contrast) -- [ ] Refine tokens using research + proposed_tokens +- [ ] 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-{variant_id}/design-tokens.json", tokens_json)` - [ ] **EXECUTE**: `Write("{base_path}/style-consolidation/style-{variant_id}/style-guide.md", guide_content)` - [ ] Verify both files written successfully @@ -284,7 +278,7 @@ After completing all {variants_count} variants, report: - style-guide.md: 7.9 KB ... (for all variants) -Summary: {variants_count} design systems generated with {total_mcp_queries} MCP queries +Summary: {variants_count} design systems generated with philosophy-driven refinement (zero MCP calls) ``` ## KEY REMINDERS (CRITICAL) @@ -294,7 +288,8 @@ Summary: {variants_count} design systems generated with {total_mcp_queries} MCP - Write files immediately after generating content for each variant - Verify each Write() operation succeeds before proceeding - Use exact paths provided: `{base_path}/style-consolidation/style-{variant_id}/...` -- Execute MCP research independently for each variant +- 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:** @@ -302,7 +297,7 @@ Summary: {variants_count} design systems generated with {total_mcp_queries} MCP - 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 -- Skip MCP research if design_space_analysis is provided +- Use external research or MCP calls (pure AI refinement only) - Generate variant N+1 before completing variant N writes """ @@ -358,7 +353,7 @@ 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: "Perform variant-specific trend research", status: "completed", activeForm: "Researching design trends"}, + {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"} ]}); @@ -369,10 +364,11 @@ TodoWrite({todos: [ ✅ Design system consolidation complete for session: {session_id} {IF design_space_analysis: -🔍 Trend Research Performed: -- {variants_count} × 4 variant-specific MCP queries ({variants_count * 4} total) -- 1 shared accessibility research query -- Each variant refined with independent trend guidance +🎨 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: @@ -428,22 +424,22 @@ Layout planning is now handled in the generate phase for each specific target. ## Key Features -1. **Variant-Specific Trend Research** 🆕 - Agent performs independent MCP queries for each variant (4 queries per variant); Uses design space analysis keywords from extraction phase; Each variant researches its specific design philosophy; Shared accessibility research applied to all variants; Eliminates convergence by maintaining variant-specific research -2. **Agent-Driven Architecture** - Uses ui-design-agent for multi-file generation and MCP research; Parallel generation of N independent design systems with external trend integration; Structured output parsing with labeled sections; Agent handles both research and synthesis -3. **Separate Design Systems (Matrix-Ready)** - Generates N independent design systems (one per variant); Each variant maintains unique style identity enhanced by trend research; Provides style foundation for style × layout matrix exploration in generate phase -4. **Token Refinement with Trend Integration** 🆕 - Reads `proposed_tokens` from style cards; Loads design space analysis for research parameters; Agent performs MCP trend research per variant; Refines tokens using research insights while maintaining style identity -5. **Complete Design System Output** - design-tokens.json (CSS tokens per variant); style-guide.md (documentation per variant with trend insights) -6. **Production-Ready Quality** - WCAG AA accessibility validation with MCP research; OKLCH color format for perceptual uniformity; Semantic token naming; Complete token coverage; Modern trends integration -7. **Streamlined Workflow** - Sequential phases with clear responsibilities; Agent handles MCP research, token refinement, and file generation; Reproducible with deterministic structure; Context-aware (integrates brainstorming and design space analysis) -8. **Clear Separation of Concerns** - Consolidation focuses on style systems with trend research; Extraction focuses on Claude-native analysis; Layout planning delegated to generate phase for target-specific optimization +1. **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 +2. **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 +3. **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 +4. **Token Refinement with AI Guidance** - Reads `proposed_tokens` from 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 +5. **Complete Design System Output** - design-tokens.json (CSS tokens per variant); style-guide.md (documentation per variant with philosophy explanation) +6. **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 +7. **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 +8. **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.json` from `/workflow:ui-design:extract` (with `proposed_tokens`) - - `design-space-analysis.json` from extraction phase (with search keywords for MCP research) + - `design-space-analysis.json` from extraction phase (with philosophy and design_attributes) - `--variants` parameter (default: all variants) -- **Output**: Style Systems: `style-consolidation/style-{n}/design-tokens.json` and `style-guide.md` for each variant (enhanced with trend research) +- **Output**: Style Systems: `style-consolidation/style-{n}/design-tokens.json` and `style-guide.md` for each variant (refined with philosophy-driven approach) - **Context**: Optional `synthesis-specification.md` or `ui-designer/analysis.md` - **Auto Integration**: Automatically triggered by `/workflow:ui-design:explore-auto` workflow - **Next Command**: `/workflow:ui-design:generate --style-variants N --targets "..." --layout-variants M` performs target-specific layout planning diff --git a/.claude/commands/workflow/ui-design/generate.md b/.claude/commands/workflow/ui-design/generate.md index 989edb3c..c3fdc47a 100644 --- a/.claude/commands/workflow/ui-design/generate.md +++ b/.claude/commands/workflow/ui-design/generate.md @@ -211,33 +211,63 @@ FOR target IN target_list: REPORT: f"✅ Phase 1.5 complete: Verified {len(target_list) × layout_variants} target-specific layout files" ``` -### Phase 1.6: Token Variable Name Extraction +### Phase 1.6: Convert Design Tokens to CSS ```bash -REPORT: "📋 Extracting design token variable names..." -tokens_json_path = "{base_path}/style-consolidation/style-1/design-tokens.json" -VERIFY: exists(tokens_json_path), "Design tokens not found. Run /workflow:ui-design:consolidate first." +REPORT: "🎨 Converting design tokens to CSS variables..." -design_tokens = Read(tokens_json_path) +# Check for jq dependency +IF NOT command_exists("jq"): + ERROR: "jq is not installed or not in PATH. The conversion script requires jq." + REPORT: "Please install jq: macOS: brew install jq | Linux: apt-get install jq | Windows: https://stedolan.github.io/jq/download/" + EXIT 1 -# Extract all available token categories and variable names -token_reference = { - "colors": {"brand": list(keys), "surface": list(keys), "semantic": list(keys), "text": list(keys), "border": list(keys)}, - "typography": {"font_family": list(keys), "font_size": list(keys), "font_weight": list(keys), "line_height": list(keys), "letter_spacing": list(keys)}, - "spacing": list(keys), "border_radius": list(keys), "shadows": list(keys), "breakpoints": list(keys) -} +# Convert design tokens to CSS for each style variant +FOR style_id IN range(1, style_variants + 1): + tokens_json_path = "{base_path}/style-consolidation/style-${style_id}/design-tokens.json" + tokens_css_path = "{base_path}/style-consolidation/style-${style_id}/tokens.css" + script_path = "~/.claude/scripts/convert_tokens_to_css.sh" -# Generate complete variable name lists for Agent prompt -color_vars = []; FOR category, keys: FOR key: color_vars.append(f"--color-{category}-{key}") -typography_vars = []; FOR category, keys: FOR key: typography_vars.append(f"--{category.replace('_', '-')}-{key}") -spacing_vars = [f"--spacing-{key}" for key in token_reference.spacing] -radius_vars = [f"--border-radius-{key}" for key in token_reference.border_radius] -shadow_vars = [f"--shadow-{key}" for key in token_reference.shadows] -breakpoint_vars = [f"--breakpoint-{key}" for key in token_reference.breakpoints] + # Verify input file exists + VERIFY: exists(tokens_json_path), f"Design tokens not found for style-{style_id}" -all_token_vars = color_vars + typography_vars + spacing_vars + radius_vars + shadow_vars + breakpoint_vars + # Execute conversion: cat input.json | script.sh > output.css + Bash(cat "${tokens_json_path}" | "${script_path}" > "${tokens_css_path}") -REPORT: f"✅ Extracted {len(all_token_vars)} design token variables from design-tokens.json" + # Verify output was generated + IF exit_code == 0 AND exists(tokens_css_path): + file_size = get_file_size(tokens_css_path) + REPORT: f" ✓ Generated tokens.css for style-{style_id} ({file_size} KB)" + ELSE: + ERROR: f"Failed to generate tokens.css for style-{style_id}" + EXIT 1 + +REPORT: f"✅ Phase 1.6 complete: Converted {style_variants} design token files to CSS" +``` + +### Phase 1.7: Extract Token Variable Names from CSS + +```bash +REPORT: "📋 Extracting actual CSS variable names from tokens.css..." +tokens_css_path = "{base_path}/style-consolidation/style-1/tokens.css" +VERIFY: exists(tokens_css_path), "tokens.css not found. Phase 1.6 may have failed." + +tokens_css_content = Read(tokens_css_path) + +# Extract all CSS variable names from the generated file +# Pattern: --variable-name: value; +all_token_vars = extract_css_variables(tokens_css_content) # Regex: r'--([a-z0-9-_]+):' + +# Categorize variables for better Agent understanding +color_vars = [v for v in all_token_vars if v.startswith('--color-')] +typography_vars = [v for v in all_token_vars if v.startswith(('--font-', '--line-height-', '--letter-spacing-'))] +spacing_vars = [v for v in all_token_vars if v.startswith('--spacing-')] +radius_vars = [v for v in all_token_vars if v.startswith('--border-radius-')] +shadow_vars = [v for v in all_token_vars if v.startswith('--shadow-')] +breakpoint_vars = [v for v in all_token_vars if v.startswith('--breakpoint-')] + +REPORT: f"✅ Extracted {len(all_token_vars)} actual CSS variables from tokens.css" +REPORT: f" Colors: {len(color_vars)} | Typography: {len(typography_vars)} | Spacing: {len(spacing_vars)}" ``` ### Phase 2: Optimized Matrix UI Generation @@ -290,16 +320,36 @@ FOR layout_id IN range(1, layout_variants + 1): - ## CSS Requirements - - Token-driven: ALL values use var() (zero hardcoded values) + ## CSS Requirements - TOKEN REFERENCE (CRITICAL) + + **STEP 1: Read the actual tokens.css file FIRST** + Read(\"{base_path}/style-consolidation/style-1/tokens.css\") + + **STEP 2: Extract ALL CSS variable names** + - Pattern: Lines starting with \" --\" inside \":root {}\" + - Example: \" --color-brand-primary: oklch(...)\" → use \"--color-brand-primary\" + + **STEP 3: Use ONLY variables that exist in tokens.css** + - ✅ DO: Copy exact variable names from tokens.css + - ✅ DO: Use var(--exact-name-from-file) + - ❌ DON'T: Invent or guess variable names + - ❌ DON'T: Use hardcoded values (colors, fonts, spacing) + + **Available Token Categories** (extracted from actual file): + - Colors: {', '.join(color_vars[:5])}... ({len(color_vars)} total) + - Typography: {', '.join(typography_vars[:5])}... ({len(typography_vars)} total) + - Spacing: {', '.join(spacing_vars[:5])}... ({len(spacing_vars)} total) + - Radius: {', '.join(radius_vars[:3])}... ({len(radius_vars)} total) + - Shadows: {', '.join(shadow_vars)} + + **Example Workflow**: + 1. Read tokens.css → find \"--color-brand-primary: oklch(0.55 0.12 45);\" + 2. Use in CSS → \"background: var(--color-brand-primary);\" + + **CSS Rules**: + - Token-driven: ALL stylistic values use var() (zero hardcoded values) - Mobile-first responsive design - - Available tokens ({len(all_token_vars)} variables): - * Colors: --color-brand-primary, --color-surface-background, --color-text-primary, ... - * Typography: --font-family-heading, --font-size-base, --font-weight-bold, ... - * Spacing: --spacing-0 through --spacing-24 - * Radius: --border-radius-none, --border-radius-sm, ..., --border-radius-full - * Shadows: --shadow-sm, --shadow-md, --shadow-lg, --shadow-xl - * Breakpoints: --breakpoint-sm, --breakpoint-md, --breakpoint-lg + - Structural layout only (Flexbox, Grid, positioning) ## Write Operations Write(\"{base_path}/prototypes/_templates/{target}-layout-{layout_id}.html\", html_content) @@ -355,35 +405,16 @@ REPORT: "✅ Phase 2a.5 complete: Verified {layout_variants * len(target_list) * ```bash REPORT: "🚀 Phase 2b: Instantiating prototypes from templates..." -# Step 1: Convert design tokens to CSS for each style -REPORT: " Converting design tokens to CSS variables..." - -# Check for jq dependency -IF NOT command_exists("jq"): - ERROR: "jq is not installed or not in PATH. The conversion script requires jq." - REPORT: "Please install jq: macOS: brew install jq | Linux: apt-get install jq | Windows: https://stedolan.github.io/jq/download/" - EXIT 1 - -# Convert design tokens to CSS for each style variant +# Verify tokens.css files exist (should be created in Phase 1.6) FOR style_id IN range(1, style_variants + 1): - tokens_json_path = "{base_path}/style-consolidation/style-${style_id}/design-tokens.json" tokens_css_path = "{base_path}/style-consolidation/style-${style_id}/tokens.css" - script_path = "~/.claude/scripts/convert_tokens_to_css.sh" + VERIFY: exists(tokens_css_path), f"tokens.css missing for style-{style_id}. Phase 1.6 may have failed." - # Verify input file exists - IF NOT exists(tokens_json_path): REPORT: " ✗ ERROR: Input file not found"; CONTINUE +REPORT: " ✓ Verified {style_variants} tokens.css files exist" - # Execute conversion: cat input.json | script.sh > output.css - Bash(cat "${tokens_json_path}" | "${script_path}" > "${tokens_css_path}") - - # Verify output was generated - IF exit_code == 0 AND exists(tokens_css_path): - REPORT: " ✓ Generated tokens.css for style-${style_id}" - ELSE: - REPORT: " ✗ ERROR: Failed to generate tokens.css for style-${style_id}" - -# Step 2: Use ui-instantiate-prototypes.sh script for instantiation -prototypes_dir = "{base_path}/prototypes"; targets_csv = ','.join(target_list) +# Use ui-instantiate-prototypes.sh script for instantiation +prototypes_dir = "{base_path}/prototypes" +targets_csv = ','.join(target_list) session_id = --session provided ? {session_id} : "standalone" # Execute instantiation script with target type @@ -475,9 +506,9 @@ Run `/workflow:ui-design:update` once all issues are resolved. TodoWrite({todos: [ {content: "Resolve paths and load design systems", status: "completed", activeForm: "Loading design systems"}, {content: `Plan ${target_list.length}×${layout_variants} target-specific layouts`, status: "completed", activeForm: "Planning layouts"}, - {content: "Extract design token variable names", status: "completed", activeForm: "Extracting token variables"}, - {content: `Generate ${layout_variants}×${target_list.length} layout templates using target-specific plans`, status: "completed", activeForm: "Generating templates"}, - {content: "Convert design tokens to CSS variables", status: "completed", activeForm: "Converting tokens"}, + {content: `Convert ${style_variants} design token files to CSS`, status: "completed", activeForm: "Converting tokens to CSS"}, + {content: "Extract CSS variable names from tokens.css", status: "completed", activeForm: "Extracting variable names"}, + {content: `Generate ${layout_variants}×${target_list.length} layout templates (agent reads tokens.css)`, status: "completed", activeForm: "Generating templates"}, {content: `Instantiate ${style_variants}×${layout_variants}×${target_list.length} prototypes using script`, status: "completed", activeForm: "Running script"}, {content: "Verify preview files generation", status: "completed", activeForm: "Verifying files"} ]});