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config/agents.yaml
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# Agent Personas & Configuration
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# Design System Extractor v2
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# =============================================================================
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# MODEL CONFIGURATION
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# =============================================================================
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# Model assignments for each agent based on task complexity
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# =============================================================================
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models:
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# Agent 1: Crawler & Extractor — NO LLM NEEDED (Rule-based)
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agent_crawler:
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requires_llm: false
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notes: "Pure rule-based extraction using Playwright + CSS parsing"
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# Agent 2: Normalizer — LIGHT MODEL
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agent_normalizer:
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requires_llm: true
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primary_model: "Qwen/Qwen2.5-7B-Instruct"
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fallback_model: "microsoft/Phi-3-mini-4k-instruct"
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tasks:
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- "Suggest semantic token names from values"
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- "Explain duplicate detection rationale"
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- "Infer naming conventions from class names"
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temperature: 0.2 # Low temp for consistent naming
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max_tokens: 1024
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why_this_model: |
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7B model is sufficient because:
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- Tasks are mostly pattern matching and naming
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- Doesn't require complex reasoning
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- Fast inference, good for iterative workflows
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# Agent 3: Advisor — STRONG MODEL (Key agent)
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agent_advisor:
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requires_llm: true
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primary_model: "Qwen/Qwen2.5-72B-Instruct"
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fallback_model: "mistralai/Mixtral-8x7B-Instruct-v0.1"
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budget_model: "Qwen/Qwen2.5-7B-Instruct" # If quota constrained
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tasks:
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- "Analyze extracted system for patterns and anti-patterns"
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- "Research and recommend type scales with rationale"
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- "Suggest spacing systems based on detected patterns"
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- "Identify accessibility issues and fixes"
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- "Compare against industry design systems"
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temperature: 0.4 # Moderate temp for creative recommendations
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max_tokens: 4096
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why_this_model: |
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72B model is critical because:
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- Needs deep understanding of design systems
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- Must reason about trade-offs (pros/cons)
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- Should know Material, Polaris, Carbon, etc.
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- Quality of recommendations is user-facing
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# Agent 4: Generator — LIGHT MODEL
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agent_generator:
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requires_llm: true
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primary_model: "Qwen/Qwen2.5-7B-Instruct"
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fallback_model: "mistralai/Mistral-7B-Instruct-v0.3"
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tasks:
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- "Format tokens into Tokens Studio JSON"
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- "Generate CSS custom properties"
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- "Structure metadata correctly"
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temperature: 0.1 # Very low temp for consistent formatting
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max_tokens: 8192 # Larger for full JSON output
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why_this_model: |
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7B model is sufficient because:
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- Structured output generation is formulaic
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- JSON schema is well-defined
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- Speed matters for export flow
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# =============================================================================
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# FREE TIER vs PRO RECOMMENDATIONS
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# =============================================================================
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tier_recommendations:
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free_tier:
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description: "For users without HF Pro subscription"
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agent2: "Qwen/Qwen2.5-7B-Instruct"
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agent3: "mistralai/Mixtral-8x7B-Instruct-v0.1" # Best free option for reasoning
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agent4: "Qwen/Qwen2.5-7B-Instruct"
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notes: "Quality will be slightly lower for Agent 3 recommendations"
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pro_tier:
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description: "For users with HF Pro subscription"
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agent2: "Qwen/Qwen2.5-7B-Instruct"
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agent3: "Qwen/Qwen2.5-72B-Instruct" # Full quality
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agent4: "Qwen/Qwen2.5-7B-Instruct"
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notes: "Best quality, especially for design system recommendations"
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# =============================================================================
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# AGENT 1: Website Crawler & Extractor
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# =============================================================================
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agent_crawler:
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name: "Design Archaeologist"
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persona: |
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You are a meticulous Design Archaeologist. Your job is to carefully excavate
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design decisions buried in website code. You approach each site with curiosity
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and systematic precision, documenting everything you find without judgment.
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You understand that live websites are often messy — accumulated decisions from
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multiple designers over years. Your role is to faithfully extract what exists,
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not to fix or improve it yet.
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responsibilities:
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- Auto-discover pages from base URL (minimum 10)
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- Include key templates: homepage, listing, detail, form, marketing, auth
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- Scroll pages fully (above + below fold)
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- Extract separately for Desktop (1440px) and Mobile (375px)
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extraction_targets:
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colors:
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- hex values
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- rgb/rgba values
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- usage frequency
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- context (background, text, border, etc.)
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typography:
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- font families
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- font sizes (px, rem, em)
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- line heights
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- font weights
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- letter spacing
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spacing:
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- margin values
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- padding values
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- gap values
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- infer base system (4px, 8px)
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other:
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- border radius
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- box shadows
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- layout signals (containers, grids)
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tools:
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- playwright (crawling, scrolling, computed styles)
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- css parsing (CSSOM)
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output_format:
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- raw extracted tokens
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- confidence score per token
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- desktop/mobile separated
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- errors and warnings logged
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guardrails:
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- Never modify or "fix" extracted values
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- Always preserve original CSS values
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- Log anomalies, don't hide them
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- Respect robots.txt (configurable)
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# =============================================================================
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# AGENT 2: Token Normalizer & Structurer
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# =============================================================================
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agent_normalizer:
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name: "Design System Librarian"
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persona: |
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You are a methodical Design System Librarian. Your expertise is in organizing
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chaotic information into structured, meaningful categories. You see patterns
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where others see noise.
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You are careful to distinguish between what you KNOW (detected) and what you
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THINK (inferred). You never overwrite the truth — you annotate it.
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responsibilities:
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- Clean noisy extraction data
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- Group and merge duplicates (with threshold tolerance)
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- Infer naming patterns from class names
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- Propose initial token names
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- Tag confidence levels
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naming_conventions:
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colors:
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pattern: "color.{role}.{shade}"
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example: "color.primary.500"
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roles:
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- primary
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- secondary
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- neutral
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- success
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- warning
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- error
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shades:
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- 50
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- 100
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- 200
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- 300
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- 400
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- 500
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- 600
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- 700
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- 800
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- 900
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typography:
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pattern: "font.{category}.{size}"
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example: "font.heading.lg"
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categories:
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- heading
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- body
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- label
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- caption
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sizes:
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- xs
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- sm
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- md
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- lg
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- xl
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- 2xl
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spacing:
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pattern: "space.{size}"
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example: "space.4, space.8"
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note: "based on pixel value / 4"
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tagging:
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detected: "Directly found in CSS, high confidence"
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inferred: "Derived from patterns, medium confidence"
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low_confidence: "Appears rarely or inconsistently"
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duplicate_threshold:
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colors: 3 # hex values within 3 steps are potential duplicates
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spacing: 2 # pixel values within 2px are potential duplicates
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guardrails:
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- Never overwrite extracted truth
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- Always mark inferred vs detected
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- Preserve original values alongside normalized
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- Flag conflicts, don't resolve them silently
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# =============================================================================
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# AGENT 3: Design System Best Practices Advisor
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# =============================================================================
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agent_advisor:
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name: "Senior Staff Design Systems Architect"
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persona: |
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You are a Senior Staff Design Systems Architect with 15+ years of experience
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building and scaling design systems at major tech companies. You've seen what
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works and what doesn't.
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Your role is to ADVISE, not DECIDE. You present options with clear rationale,
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letting humans make the final call. You respect existing decisions while
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offering paths to improvement.
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responsibilities:
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- Analyze extracted system for patterns and anti-patterns
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- Research modern design system best practices
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- Propose upgrade OPTIONS (never auto-apply)
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- Ensure accessibility compliance (AA minimum)
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research_sources:
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- Material Design (Google)
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- Polaris (Shopify)
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- Carbon (IBM)
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- Fluent (Microsoft)
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- Primer (GitHub)
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- Radix
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- Tailwind CSS
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upgrade_categories:
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typography_scales:
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- name: "Minor Third"
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ratio: 1.2
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description: "Subtle progression, good for dense UIs"
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- name: "Major Third"
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ratio: 1.25
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description: "Balanced, most popular choice"
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- name: "Perfect Fourth"
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ratio: 1.333
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description: "Strong hierarchy, good for marketing"
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- name: "Golden Ratio"
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ratio: 1.618
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description: "Dramatic, use sparingly"
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spacing_systems:
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- name: "4px base"
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scale: [4, 8, 12, 16, 20, 24, 32, 40, 48, 64]
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description: "Fine-grained control"
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- name: "8px base"
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scale: [4, 8, 16, 24, 32, 48, 64, 80, 96]
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description: "Industry standard, recommended"
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- name: "Tailwind"
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scale: [4, 8, 12, 16, 20, 24, 32, 40, 48, 56, 64, 80, 96]
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description: "Utility-first, comprehensive"
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naming_conventions:
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- name: "T-shirt sizes"
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example: "xs, sm, md, lg, xl, 2xl"
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pros: "Intuitive, easy to remember"
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cons: "Limited granularity"
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- name: "Numeric"
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example: "100, 200, 300, 400, 500"
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pros: "Extensible, precise"
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cons: "Less intuitive"
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- name: "Semantic"
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example: "caption, body, subhead, title, display"
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pros: "Meaningful, self-documenting"
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cons: "Harder to extend"
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color_ramps:
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shades: [50, 100, 200, 300, 400, 500, 600, 700, 800, 900]
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aa_contrast_minimum: 4.5
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aaa_contrast_minimum: 7.0
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output_format:
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- option sets (never single recommendations)
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- rationale for each option
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- pros and cons
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- accessibility impact
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- migration effort estimate
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guardrails:
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- Never auto-apply changes
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- Always provide multiple options
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- Respect existing system, suggest improvements
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- Flag accessibility issues prominently
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# =============================================================================
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# AGENT 4: Plugin & JSON Generator
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# =============================================================================
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agent_generator:
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name: "Automation Engineer"
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persona: |
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You are a precise Automation Engineer. Your job is to transform design
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decisions into machine-readable formats that tools can consume. You care
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deeply about compatibility, versioning, and clean output.
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You understand that your output will be used by Figma plugins, CSS
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preprocessors, and design tools — so format matters.
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responsibilities:
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- Convert finalized tokens to standard formats
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- Generate color ramps with AA compliance
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- Maintain viewport separation (Desktop/Mobile)
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- Version all outputs
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output_formats:
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tokens_studio:
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description: "Compatible with Tokens Studio Figma plugin"
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extension: ".json"
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figma_variables:
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description: "Direct Figma Variables format"
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extension: ".json"
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css_variables:
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description: "CSS custom properties"
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extension: ".css"
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tailwind_config:
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description: "Tailwind CSS configuration"
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extension: ".js"
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token_structure:
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colors:
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include_ramps: true
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ramp_shades: [50, 100, 200, 300, 400, 500, 600, 700, 800, 900]
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include_contrast: true
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typography:
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include_composite: true # font-family + size + weight + line-height
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include_individual: true
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spacing:
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base: 8
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include_negative: false
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metadata_fields:
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- source_url
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- extracted_at
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- version
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- viewport
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- token_source (detected/inferred/upgraded)
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guardrails:
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- Always include metadata
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- Validate JSON before output
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- Preserve source attribution on each token
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- Warn on potential conflicts
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# =============================================================================
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# LANGGRAPH WORKFLOW CONFIGURATION
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# =============================================================================
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workflow:
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name: "design_system_extraction"
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checkpoints:
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- id: "confirm_pages"
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description: "Human confirms discovered pages before crawling"
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required: true
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- id: "review_extraction"
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description: "Human reviews extracted tokens (Stage 1 UI)"
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required: true
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- id: "select_upgrades"
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description: "Human selects upgrade options (Stage 2 UI)"
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required: true
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- id: "approve_export"
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description: "Human approves final output (Stage 3 UI)"
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required: true
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parallel_nodes:
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- name: "viewport_extraction"
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description: "Extract Desktop and Mobile in parallel"
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agents: ["agent_crawler"]
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- name: "research_and_advise"
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description: "Agent 3 can research while human reviews Stage 1"
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agents: ["agent_advisor"]
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error_handling:
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retry_attempts: 3
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retry_delay_seconds: 5
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log_errors: true
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show_in_ui: true
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# =============================================================================
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# UI CONFIGURATION
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# =============================================================================
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ui:
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layout: "single_scroll"
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stages:
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stage1:
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name: "Extraction Review"
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purpose: "Trust building — see what was found"
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components:
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- token_tables
|
| 416 |
-
- color_swatches
|
| 417 |
-
- typography_samples
|
| 418 |
-
- viewport_toggle
|
| 419 |
-
- confidence_indicators
|
| 420 |
-
- accept_reject_controls
|
| 421 |
-
|
| 422 |
-
stage2:
|
| 423 |
-
name: "Upgrade Playground"
|
| 424 |
-
purpose: "Decision making through live visuals"
|
| 425 |
-
components:
|
| 426 |
-
- option_selector
|
| 427 |
-
- live_preview_iframe
|
| 428 |
-
- side_by_side_comparison
|
| 429 |
-
- existing_vs_upgraded_toggle
|
| 430 |
-
|
| 431 |
-
stage3:
|
| 432 |
-
name: "Final Review & Export"
|
| 433 |
-
purpose: "Confidence before export"
|
| 434 |
-
components:
|
| 435 |
-
- token_preview_readonly
|
| 436 |
-
- json_tree_view
|
| 437 |
-
- diff_view
|
| 438 |
-
- viewport_tabs
|
| 439 |
-
- download_buttons
|
| 440 |
-
- version_labeling
|
| 441 |
-
|
| 442 |
-
preview:
|
| 443 |
-
type: "iframe"
|
| 444 |
-
template: "specimen.html"
|
| 445 |
-
update_trigger: "on_selection"
|
| 446 |
-
|
| 447 |
-
# =============================================================================
|
| 448 |
-
# EXTRACTION SETTINGS
|
| 449 |
-
# =============================================================================
|
| 450 |
-
extraction:
|
| 451 |
-
viewports:
|
| 452 |
-
desktop:
|
| 453 |
-
width: 1440
|
| 454 |
-
height: 900
|
| 455 |
-
name: "Desktop"
|
| 456 |
-
mobile:
|
| 457 |
-
width: 375
|
| 458 |
-
height: 812
|
| 459 |
-
name: "Mobile"
|
| 460 |
-
|
| 461 |
-
crawling:
|
| 462 |
-
max_pages: 20
|
| 463 |
-
min_pages: 10
|
| 464 |
-
scroll_behavior: "smooth"
|
| 465 |
-
wait_for_network_idle: true
|
| 466 |
-
network_idle_timeout_ms: 5000
|
| 467 |
-
skip_infinite_scroll: true
|
| 468 |
-
respect_robots_txt: true
|
| 469 |
-
|
| 470 |
-
page_templates:
|
| 471 |
-
required:
|
| 472 |
-
- homepage
|
| 473 |
-
- listing
|
| 474 |
-
- detail
|
| 475 |
-
optional:
|
| 476 |
-
- form
|
| 477 |
-
- marketing
|
| 478 |
-
- auth
|
| 479 |
-
- checkout
|
| 480 |
-
- about
|
| 481 |
-
- contact
|
| 482 |
-
|
| 483 |
-
# =============================================================================
|
| 484 |
-
# COLOR PROCESSING
|
| 485 |
-
# =============================================================================
|
| 486 |
-
color_processing:
|
| 487 |
-
ramp_generation:
|
| 488 |
-
enabled: true
|
| 489 |
-
shades: [50, 100, 200, 300, 400, 500, 600, 700, 800, 900]
|
| 490 |
-
method: "oklch" # or "hsl" or "lab"
|
| 491 |
-
|
| 492 |
-
accessibility:
|
| 493 |
-
check_contrast: true
|
| 494 |
-
minimum_standard: "AA" # or "AAA"
|
| 495 |
-
contrast_pairs:
|
| 496 |
-
- ["text", "background"]
|
| 497 |
-
- ["button-text", "button-background"]
|
| 498 |
-
|
| 499 |
-
duplicate_detection:
|
| 500 |
-
enabled: true
|
| 501 |
-
threshold_delta_e: 3 # CIE Delta E threshold
|
| 502 |
-
|
| 503 |
-
# =============================================================================
|
| 504 |
-
# TYPOGRAPHY PROCESSING
|
| 505 |
-
# =============================================================================
|
| 506 |
-
typography_processing:
|
| 507 |
-
scale_options:
|
| 508 |
-
- name: "Minor Third"
|
| 509 |
-
ratio: 1.2
|
| 510 |
-
- name: "Major Third"
|
| 511 |
-
ratio: 1.25
|
| 512 |
-
- name: "Perfect Fourth"
|
| 513 |
-
ratio: 1.333
|
| 514 |
-
|
| 515 |
-
base_size: 16 # px
|
| 516 |
-
|
| 517 |
-
text_styles:
|
| 518 |
-
- display
|
| 519 |
-
- heading-xl
|
| 520 |
-
- heading-lg
|
| 521 |
-
- heading-md
|
| 522 |
-
- heading-sm
|
| 523 |
-
- body-lg
|
| 524 |
-
- body-md
|
| 525 |
-
- body-sm
|
| 526 |
-
- caption
|
| 527 |
-
- label
|
| 528 |
-
|
| 529 |
-
# =============================================================================
|
| 530 |
-
# SPACING PROCESSING
|
| 531 |
-
# =============================================================================
|
| 532 |
-
spacing_processing:
|
| 533 |
-
base: 8 # px
|
| 534 |
-
scale: [0, 4, 8, 12, 16, 24, 32, 48, 64, 80, 96]
|
| 535 |
-
|
| 536 |
-
names:
|
| 537 |
-
0: "none"
|
| 538 |
-
4: "xs"
|
| 539 |
-
8: "sm"
|
| 540 |
-
12: "sm-md"
|
| 541 |
-
16: "md"
|
| 542 |
-
24: "lg"
|
| 543 |
-
32: "xl"
|
| 544 |
-
48: "2xl"
|
| 545 |
-
64: "3xl"
|
| 546 |
-
80: "4xl"
|
| 547 |
-
96: "5xl"
|
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