276ed71f31
Migrated from design-system-swarm with fresh git history.
Old project history preserved in /home/overbits/apps/design-system-swarm
Core components:
- MCP Server (Python FastAPI with mcp 1.23.1)
- Claude Plugin (agents, commands, skills, strategies, hooks, core)
- DSS Backend (dss-mvp1 - token translation, Figma sync)
- Admin UI (Node.js/React)
- Server (Node.js/Express)
- Storybook integration (dss-mvp1/.storybook)
Self-contained configuration:
- All paths relative or use DSS_BASE_PATH=/home/overbits/dss
- PYTHONPATH configured for dss-mvp1 and dss-claude-plugin
- .env file with all configuration
- Claude plugin uses ${CLAUDE_PLUGIN_ROOT} for portability
Migration completed: $(date)
🤖 Clean migration with full functionality preserved
113 lines
2.9 KiB
Markdown
113 lines
2.9 KiB
Markdown
---
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name: Design System Analysis
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description: Analyze codebases for design patterns, component usage, and tokenization opportunities
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globs:
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- "**/*.css"
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- "**/*.scss"
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- "**/*.tsx"
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- "**/*.jsx"
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- "**/*.vue"
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- "**/tailwind.config.*"
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alwaysApply: false
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---
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# Design System Analysis
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## Overview
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This skill provides comprehensive analysis of existing codebases to identify design patterns, component usage, and opportunities for design system adoption.
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## When to Use
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Use this skill when the user asks to:
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- Analyze a project for design system opportunities
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- Audit an existing codebase for design patterns
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- Scan a React/Vue project for component patterns
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- Identify style inconsistencies
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- Find tokenization opportunities
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## Capabilities
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### 1. Project Scanning
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- Scans entire project structure
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- Identifies style files (CSS, SCSS, Tailwind)
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- Locates component files (React, Vue)
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- Builds file dependency map
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### 2. Style Analysis
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- Extracts color values and patterns
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- Identifies typography scales
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- Finds spacing patterns
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- Detects shadow and border patterns
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### 3. Component Analysis
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- Identifies React/Vue components
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- Maps component dependencies
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- Finds repeated patterns
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- Detects hardcoded values
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### 4. Dependency Graph
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- Builds component relationship graph
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- Identifies shared dependencies
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- Finds circular dependencies
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- Maps style imports
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## Workflow
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1. **Start Analysis**
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```
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Use the dss_analyze_project tool with the project path
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```
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2. **Review Results**
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- Check scan summary for file counts
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- Review style patterns found
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- Examine component analysis
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- Note dependency relationships
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3. **Generate Recommendations**
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- Prioritize findings by impact
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- Suggest token candidates
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- Recommend component refactoring
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- Identify quick wins
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## Example Interaction
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**User:** "Analyze my React app at /home/user/my-app for design system adoption"
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**Assistant Response:**
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```
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I'll analyze your React application for design system opportunities.
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[Uses dss_analyze_project tool]
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Based on the analysis:
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**Summary:**
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- 47 style files scanned
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- 23 React components found
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- 156 unique color values detected
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- 12 typography variations identified
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**Key Findings:**
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1. Color Inconsistency: Found 156 color values that could be reduced to 12 design tokens
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2. Spacing Patterns: 8 different spacing scales in use
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3. Component Duplication: 3 button variants that could be consolidated
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**Recommendations:**
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1. Create a color token system (high impact, medium effort)
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2. Standardize spacing scale to 4px grid (medium impact, low effort)
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3. Create a Button component with variants (high impact, high effort)
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```
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## Related Tools
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- `dss_analyze_project` - Main analysis tool
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- `dss_extract_tokens` - Extract tokens from analysis
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- `dss_find_quick_wins` - Find low-effort improvements
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## Dependencies
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- DSS analyze module (ProjectScanner, ReactAnalyzer, StyleAnalyzer)
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- DSS models (Project, ProjectMetadata)
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