workflow-ui-design-import-from-code

name	workflow:ui-design:import-from-code
description	Import design system from code files (CSS/JS/HTML/SCSS) with automatic file discovery and parallel agent analysis
argument-hint	[--design-id <id>] [--session <id>] [--source <path>]
allowed-tools	Read,Write,Bash,Glob,Grep,Task,TodoWrite
auto-continue	true

UI Design: Import from Code

Overview

Extract design system tokens from source code files (CSS/SCSS/JS/TS/HTML) using parallel agent analysis. Each agent can reference any file type for cross-source token extraction, and directly generates completeness reports with findings and gaps.

Key Characteristics:

• Executes parallel agent analysis (3 agents: Style, Animation, Layout)
• Each agent can read ALL file types (CSS/SCSS/JS/TS/HTML) for cross-reference
• Direct completeness reporting without synthesis phase
• Graceful failure handling with detailed missing content analysis
• Returns concrete analysis results with recommendations

Core Functionality

• File Discovery: Auto-discover or target specific CSS/SCSS/JS/HTML files
• Parallel Analysis: 3 agents extract tokens simultaneously with cross-file-type support
• Completeness Reporting: Each agent reports found tokens, missing content, and recommendations
• Cross-Source Extraction: Agents can reference any file type (e.g., Style agent can read JS theme configs)

Usage

Command Syntax

/workflow:ui-design:import-from-code [FLAGS]

# Flags
--design-id <id>        Design run ID to import into (must exist)
--session <id>          Session ID (uses latest design run in session)
--source <path>         Source code directory to analyze (required)

Note: All file discovery is automatic. The command will scan the source directory and find all relevant style files (CSS, SCSS, JS, HTML) automatically.

Execution Process

Input Parsing:
   ├─ Parse flags: --design-id, --session, --source
   └─ Decision (base path resolution):
      ├─ --design-id provided → Exact match by design ID
      ├─ --session provided → Latest design run in session
      └─ Neither → ERROR: Must provide --design-id or --session

Phase 0: Setup & File Discovery
   ├─ Step 1: Resolve base path
   ├─ Step 2: Initialize directories
   └─ Step 3: Discover files using script

Phase 1: Parallel Agent Analysis (3 agents)
   ├─ Style Agent → design-tokens.json + code_snippets
   ├─ Animation Agent → animation-tokens.json + code_snippets
   └─ Layout Agent → layout-templates.json + code_snippets

Step 1: Setup & File Discovery

Purpose: Initialize session, discover and categorize code files

Operations:

# 1. Determine base path with priority: --design-id > --session > error
if [ -n "$DESIGN_ID" ]; then
  # Exact match by design ID
  relative_path=$(find .workflow -name "${DESIGN_ID}" -type d -print -quit)
  if [ -z "$relative_path" ]; then
    echo "ERROR: Design run not found: $DESIGN_ID"
    echo "HINT: Run '/workflow:ui-design:list' to see available design runs"
    exit 1
  fi
elif [ -n "$SESSION_ID" ]; then
  # Latest in session
  relative_path=$(find .workflow/active/WFS-$SESSION_ID -name "design-run-*" -type d -printf "%T@ %p\n" 2>/dev/null | sort -nr | head -1 | cut -d' ' -f2)
  if [ -z "$relative_path" ]; then
    echo "ERROR: No design run found in session: $SESSION_ID"
    echo "HINT: Create a design run first or provide --design-id"
    exit 1
  fi
else
  echo "ERROR: Must provide --design-id or --session parameter"
   1


base_path=$(  && )
design_id=$( )


=
intermediates_dir=
 -p 

 
 
 
 


discovery_file=
ccw tool  discover_design_files 

 

TodoWrite:

[
  {"content": "Phase 0: 发现和分类代码文件", "status": "in_progress", "activeForm": "发现代码文件"},
  {"content": "Phase 1.1: Style Agent - 提取视觉token及代码片段 (design-tokens.json + code_snippets)", "status": "pending", "activeForm": "提取视觉token"},
  {"content": "Phase 1.2: Animation Agent - 提取动画token及代码片段 (animation-tokens.json + code_snippets)", "status": "pending", "activeForm": "提取动画token"},
  {"content": "Phase 1.3: Layout Agent - 提取布局模式及代码片段 (layout-templates.json + code_snippets)", "status": "pending", "activeForm": "提取布局模式"

File Discovery Behavior:

• Automatic discovery: Intelligently scans source directory for all style-related files
• Supported file types: CSS, SCSS, JavaScript, TypeScript, HTML
• Smart filtering: Finds theme-related JS/TS files (e.g., tailwind.config.js, theme.js, styled-components)
• Exclusions: Automatically excludes node_modules/, dist/, .git/, and build directories
• Output: Single JSON file discovered-files.json in .intermediates/import-analysis/
  • Structure: { "css": [...], "js": [...], "html": [...], "counts": {...}, "discovery_time": "..." }
  • Generated via bash commands using find + JSON formatting

---

Step 2: Parallel Agent Analysis

Purpose: Three agents analyze all file types in parallel, each producing completeness-report.json

Operations:

• Style Agent: Extracts visual tokens (colors, typography, spacing) from ALL files (CSS/SCSS/JS/HTML)
• Animation Agent: Extracts animations/transitions from ALL files
• Layout Agent: Extracts layout patterns/component structures from ALL files

Validation:

• Each agent can reference any file type (not restricted to single type)
• Direct output: Each agent generates completeness-report.json with findings + missing content
• No synthesis needed: Agents produce final output directly

echo "[Phase 1] Starting parallel agent analysis (3 agents)"

Style Agent Task (design-tokens.json, style-guide.md)

Agent Task:

Task(subagent_type="ui-design-agent",
     run_in_background=false,
     prompt="[STYLE_TOKENS_EXTRACTION]
  Extract visual design tokens from code files using code import extraction pattern.

  MODE: style-extraction | SOURCE: ${source} | BASE_PATH: ${base_path}

  ## Input Files

  **Discovered Files**: ${intermediates_dir}/discovered-files.json
  $(cat \"${intermediates_dir}/discovered-files.json\" 2>/dev/null | grep -E '(count|files)' | head -30)

  ## Code Import Extraction Strategy

  **Step 0: Fast Conflict Detection** (Use Bash/Grep for quick global scan)
  - Quick scan: \`rg --color=never -n "^\\s*--primary:|^\\s*--secondary:|^\\s*--accent:" --type css ${source}\` to find core color definitions with line numbers
  - Semantic search: \`rg --color=never -B3 -A1 "^\\s*--primary:" --type css ${source}\` to capture surrounding context and comments
  - Core token scan: Search for --primary, --secondary, --accent, --background patterns to detect all theme-critical definitions
  - Pattern: rg → Extract values → Compare → If different → Read full context with comments → Record conflict
  - Alternative (if many files): Execute CLI analysis for comprehensive report:
    \`\`\`bash
    ccw cli -p \"
    PURPOSE: Detect color token conflicts across all CSS/SCSS/JS files
    TASK: • Scan all files for color definitions • Identify conflicting values • Extract semantic comments
    MODE: analysis
    CONTEXT: @**/*.css @**/*.scss @**/*.js @**/*.ts
    EXPECTED: JSON report listing conflicts with file:line, values, semantic context
    RULES: Focus on core tokens | Report ALL variants | analysis=READ-ONLY
    \" --tool gemini --mode analysis --cd ${source}
    \`\`\`

  **Step 1: Load file list**
  - Read(${intermediates_dir}/discovered-files.json)
  - Extract: file_types.css.files, file_types.js.files, file_types.html.files

  **Step 2: Cross-source token extraction**
  - CSS/SCSS: Colors, typography, spacing, shadows, borders
  - JavaScript/TypeScript: Theme configs (Tailwind, styled-components, CSS-in-JS)
  - HTML: Inline styles, usage patterns

  **Step 3: Validation and Conflict Detection**
  - Report missing tokens WITHOUT inference (mark as "missing" in _metadata.completeness)
  - Detect and report inconsistent values across files (list ALL variants with file:line sources)
  - Report missing categories WITHOUT auto-filling (document gaps for manual review)
  - CRITICAL: Verify core tokens (primary, secondary, accent) against semantic comments in source code

  ## Output Files

  **Target Directory**: ${base_path}/style-extraction/style-1/

  **Files to Generate**:
  1. **design-tokens.json**
     - Follow [DESIGN_SYSTEM_GENERATION_TASK] standard token structure
     - Add \"_metadata.extraction_source\": \"code_import\"
     - Add \"_metadata.files_analyzed\": {css, js, html file lists}
     - Add \"_metadata.completeness\": {status, missing_categories, recommendations}
     - Add \"_metadata.conflicts\": Array of conflicting definitions (MANDATORY if conflicts exist)
     - Add \"_metadata.code_snippets\": Map of code snippets (see below)
     - Add \"_metadata.usage_recommendations\": Usage patterns from code (see below)
     - Include \"source\" field for each token (e.g., \"file.css:23\")

  **Code Snippet Recording**:
  - For each extracted token, record the actual code snippet in `_metadata.code_snippets`
  - Structure:
    ```json
    \"code_snippets\": {
      \"file.css:23\": {
        \"lines\": \"23-27\",
        \"snippet\": \":root {\\n  --color-primary: oklch(0.5555 0.15 270);\\n  /* Primary brand color */\\n  --color-primary-hover: oklch(0.6 0.15 270);\\n}\",
        \"context\": \"css-variable\"
      }
    }
    ```
  - Context types: \"css-variable\" | \"css-class\" | \"js-object\" | \"js-theme-config\" | \"inline-style\"
  - Record complete code blocks with all dependencies and relevant comments
  - Typical ranges: Simple declarations (1-5 lines), Utility classes (5-15 lines), Complete configs (15-50 lines)
  - Preserve original formatting and indentation

  **Conflict Detection and Reporting**:
  - When the same token is defined differently across multiple files, record in `_metadata.conflicts`
  - Follow Agent schema for conflicts array structure (see ui-design-agent.md)
  - Each conflict MUST include: token_name, category, all definitions with context, selected_value, selection_reason
  - Selection priority:
    1. Definitions with semantic comments explaining intent (/* Blue theme */, /* Primary brand color */)
    2. Definitions that align with overall color scheme described in comments
    3. When in doubt, report ALL variants and flag for manual review in completeness.recommendations

  **Usage Recommendations Generation**:
  - Analyze code usage patterns to extract `_metadata.usage_recommendations` (see ui-design-agent.md schema)
  - **Typography recommendations**:
    * `common_sizes`: Identify most frequent font size usage (e.g., \"body_text\": \"base (1rem)\")
    * `common_combinations`: Extract heading+body pairings from actual usage (e.g., h1 with p tags)
  - **Spacing recommendations**:
    * `size_guide`: Categorize spacing values into tight/normal/loose based on frequency
    * `common_patterns`: Extract frequent padding/margin combinations from components
  - Analysis method: Scan code for class/style usage frequency, extract patterns from component implementations
  - Optional: If insufficient usage data, mark fields as empty arrays/objects with note in completeness.recommendations

  ## Code Import Specific Requirements
  - ✅ Read discovered-files.json FIRST to get file paths
  - ✅ Track extraction source for each token (file:line)
  - ✅ Record complete code snippets in _metadata.code_snippets (complete blocks with dependencies/comments)
  - ✅ Include completeness assessment in _metadata
  - ✅ Report inconsistent values with ALL source locations in _metadata.conflicts (DO NOT auto-normalize or choose)
  - ✅ CRITICAL: Verify core theme tokens (primary, secondary, accent) match source code semantic intent
  - ✅ When conflicts exist, prefer definitions with semantic comments explaining intent
  - ❌ NO inference, NO smart filling, NO automatic conflict resolution
  - ❌ NO external research or web searches (code-only extraction)
")

Animation Agent Task (animation-tokens.json, animation-guide.md)

Agent Task:

Task(subagent_type="ui-design-agent",
     run_in_background=false,
     prompt="[ANIMATION_TOKEN_GENERATION_TASK]
  Extract animation tokens from code files using code import extraction pattern.

  MODE: animation-extraction | SOURCE: ${source} | BASE_PATH: ${base_path}

  ## Input Files

  **Discovered Files**: ${intermediates_dir}/discovered-files.json
  $(cat \"${intermediates_dir}/discovered-files.json\" 2>/dev/null | grep -E '(count|files)' | head -30)

  ## Code Import Extraction Strategy

  **Step 0: Fast Animation Discovery** (Use Bash/Grep for quick pattern detection)
  - Quick scan: \`rg --color=never -n "@keyframes|animation:|transition:" --type css ${source}\` to find animation definitions with line numbers
  - Framework detection: \`rg --color=never "framer-motion|gsap|@react-spring|react-spring" --type js --type ts ${source}\` to detect animation frameworks
  - Pattern categorization: \`rg --color=never -B2 -A5 "@keyframes" --type css ${source}\` to extract keyframe animations with context
  - Pattern: rg → Identify animation types → Map framework usage → Prioritize extraction targets
  - Alternative (if complex framework mix): Execute CLI analysis for comprehensive report:
    \`\`\`bash
    ccw cli -p \"
    PURPOSE: Detect animation frameworks and patterns
    TASK: • Identify frameworks • Map animation patterns • Categorize by complexity
    MODE: analysis
    CONTEXT: @**/*.css @**/*.scss @**/*.js @**/*.ts
    EXPECTED: JSON report listing frameworks, animation types, file locations
    RULES: Focus on framework consistency | Map all animations | analysis=READ-ONLY
    \" --tool gemini --mode analysis --cd ${source}
    \`\`\`

  **Step 1: Load file list**
  - Read(${intermediates_dir}/discovered-files.json)
  - Extract: file_types.css.files, file_types.js.files, file_types.html.files

  **Step 2: Cross-source animation extraction**
  - CSS/SCSS: @keyframes, transitions, animation properties
  - JavaScript/TypeScript: Animation frameworks (Framer Motion, GSAP), CSS-in-JS
  - HTML: Inline styles, data-animation attributes

  **Step 3: Framework detection & normalization**
  - Detect animation frameworks used (css-animations | framer-motion | gsap | none)
  - Normalize into semantic token system
  - Cross-reference CSS animations with JS configs

  ## Output Files

  **Target Directory**: ${base_path}/animation-extraction/

  **Files to Generate**:
  1. **animation-tokens.json**
     - Follow [ANIMATION_TOKEN_GENERATION_TASK] standard structure
     - Add \"_metadata.framework_detected\"
     - Add \"_metadata.files_analyzed\"
     - Add \"_metadata.completeness\"
     - Add \"_metadata.code_snippets\": Map of code snippets (same format as Style Agent)
     - Include \"source\" field for each token

  **Code Snippet Recording**:
  - Record actual animation/transition code in `_metadata.code_snippets`
  - Context types: \"css-keyframes\" | \"css-transition\" | \"js-animation\" | \"framer-motion\" | \"gsap\"
  - Record complete blocks: @keyframes animations (10-30 lines), transition configs (5-15 lines), JS animation objects (15-50 lines)
  - Include all animation steps, timing functions, and related comments
  - Preserve original formatting and framework-specific syntax

  ## Code Import Specific Requirements
  - ✅ Read discovered-files.json FIRST to get file paths
  - ✅ Detect animation framework if present
  - ✅ Track extraction source for each token (file:line)
  - ✅ Record complete code snippets in _metadata.code_snippets (complete animation blocks with all steps/timing)
  - ✅ Normalize framework-specific syntax into standard tokens
  - ❌ NO external research or web searches (code-only extraction)
")

Layout Agent Task (layout-templates.json, layout-guide.md)

Agent Task:

Task(subagent_type="ui-design-agent",
     run_in_background=false,
     prompt="[LAYOUT_TEMPLATE_GENERATION_TASK]
  Extract layout patterns from code files using code import extraction pattern.

  MODE: layout-extraction | SOURCE: ${source} | BASE_PATH: ${base_path}

  ## Input Files

  **Discovered Files**: ${intermediates_dir}/discovered-files.json
  $(cat \"${intermediates_dir}/discovered-files.json\" 2>/dev/null | grep -E '(count|files)' | head -30)

  ## Code Import Extraction Strategy

  **Step 0: Fast Component Discovery** (Use Bash/Grep for quick component scan)
  - Layout pattern scan: \`rg --color=never -n "display:\\s*(grid|flex)|grid-template" --type css ${source}\` to find layout systems
  - Component class scan: \`rg --color=never "class.*=.*\\"[^\"]*\\b(btn|button|card|input|modal|dialog|dropdown)" --type html --type js --type ts ${source}\` to identify UI components
  - Universal component heuristic: Components appearing in 3+ files = universal, <3 files = specialized
  - Pattern: rg → Count occurrences → Classify by frequency → Prioritize universal components
  - Alternative (if large codebase): Execute CLI analysis for comprehensive categorization:
    \`\`\`bash
    ccw cli -p \"
    PURPOSE: Classify components as universal vs specialized
    TASK: • Identify UI components • Classify reusability • Map layout systems
    MODE: analysis
    CONTEXT: @**/*.css @**/*.scss @**/*.js @**/*.ts @**/*.html
    EXPECTED: JSON report categorizing components, layout patterns, naming conventions
    RULES: Focus on component reusability | Identify layout systems | analysis=READ-ONLY
    \" --tool gemini --mode analysis --cd ${source}
    \`\`\`

  **Step 1: Load file list**
  - Read(${intermediates_dir}/discovered-files.json)
  - Extract: file_types.css.files, file_types.js.files, file_types.html.files

  **Step 2: Cross-source layout extraction**
  - CSS/SCSS: Grid systems, flexbox utilities, layout classes, media queries
  - JavaScript/TypeScript: Layout components (React/Vue), grid configs
  - HTML: Semantic structure, component hierarchies

  **Component Classification** (MUST annotate in extraction):
  - **Universal Components**: Reusable multi-component templates (buttons, inputs, cards, modals, etc.)
  - **Specialized Components**: Module-specific components from code (feature-specific layouts, custom widgets, domain components)

  **Step 3: System identification**
  - Detect naming convention (BEM | SMACSS | utility-first | css-modules)
  - Identify layout system (12-column | flexbox | css-grid | custom)
  - Extract responsive strategy and breakpoints

  ## Output Files

  **Target Directory**: /layout-extraction/

  **Files to Generate**:

  1. **layout-templates.json**
     - Follow [LAYOUT_TEMPLATE_GENERATION_TASK] standard structure
     - Add \"extraction_metadata\" section:
       * extraction_source: \"code_import\"
       * naming_convention: detected convention
       * layout_system: {type, confidence, source_files}
       * responsive: {breakpoints, mobile_first, source}
       * completeness: {status, missing_items, recommendations}
       * code_snippets: Map of code snippets (same format as Style Agent)
     - For each component in \"layout_templates\":
       * Include \"source\" field (file:line)
       * **Include \"component_type\" field: \"universal\" | \"specialized\"**
       * dom_structure with semantic HTML5
       * css_layout_rules using var() placeholders
       * Add \"description\" field explaining component purpose and classification rationale
       * **Add \"usage_guide\" field for universal components** (see ui-design-agent.md schema):
         - common_sizes: Extract size variants (small/medium/large) from code
         - variant_recommendations: Document when to use each variant (primary/secondary/etc)
         - usage_context: List typical usage scenarios from actual implementation
         - accessibility_tips: Extract ARIA patterns and a11y notes from code

  **Code Snippet Recording**:
  - Record actual layout/component code in `extraction_metadata.

Wait for All Agents:

# Note: Agents run in parallel and write separate completeness reports
# Each agent generates its own completeness-report.json directly
# No synthesis phase needed
echo "[Phase 1] Parallel agent analysis complete"

---

Output Files

Generated Files

Location: ${base_path}/

Directory Structure:

${base_path}/
├── style-extraction/
│   └── style-1/
│       └── design-tokens.json       # Production-ready design tokens with code snippets
├── animation-extraction/
│   └── animation-tokens.json        # Animation/transition tokens with code snippets
├── layout-extraction/
│   └── layout-templates.json        # Layout patterns with code snippets
└── .intermediates/
    └── import-analysis/
        └── discovered-files.json    # All discovered files (JSON format)

Files:

1. style-extraction/style-1/design-tokens.json

   • Production-ready design tokens
   • Categories: colors, typography, spacing, opacity, border_radius, shadows, breakpoints
   • Metadata: extraction_source, files_analyzed, completeness assessment, code_snippets
   • Code snippets: Complete code blocks from source files (CSS variables, theme configs, inline styles)

2. animation-extraction/animation-tokens.json

   • Animation tokens: duration, easing, transitions, keyframes, interactions
   • Framework detection: css-animations, framer-motion, gsap, etc.
   • Metadata: extraction_source, completeness assessment, code_snippets
   • Code snippets: Complete animation blocks (@keyframes, transition configs, JS animations)

3. layout-extraction/layout-templates.json

   • Layout templates for each discovered component
   • Extraction metadata: naming_convention, layout_system, responsive strategy, code_snippets
   • Component patterns with DOM structure and CSS rules
   • Code snippets: Complete component/structure code (HTML, CSS utilities, React components)

Intermediate Files: .intermediates/import-analysis/

• discovered-files.json - All discovered files in JSON format with counts and metadata

---

Error Handling

Common Errors

Error	Cause	Resolution
No files discovered	Wrong --source path or no style files in directory	Verify --source parameter points to correct directory with style files
Agent reports "failed" status	No tokens found in any file	Review file content, check if files contain design tokens
Empty completeness reports	Files exist but contain no extractable tokens	Manually verify token definitions in source files
Missing file type	File extensions not recognized	Check that files use standard extensions (.css, .scss, .js, .ts, .html)

---

Best Practices

1. Point to the right directory: Use --source to specify the directory containing your style files (e.g., ./src, ./app, ./styles)
2. Let automatic discovery work: The command will find all relevant files - no need to specify patterns
3. Specify target design run: Use --design-id for existing design run or --session to use session's latest design run (one of these is required)
4. Cross-reference agent reports: Compare all three completeness reports (style, animation, layout) to identify gaps
5. Review missing content: Check _metadata.completeness field in reports for actionable improvements
6. Verify file discovery: Check ${base_path}/.intermediates/import-analysis/discovered-files.json if agents report no data