feat: v2.0.0 - Design System Generator with 100 reasoning rules
## Major Features - Add --design-system flag for AI-powered design recommendations - 100 industry-specific reasoning rules in ui-reasoning.csv - Multi-domain parallel search (product, style, color, landing, typography) - Anti-patterns to avoid for each industry ## New Files - data/ui-reasoning.csv - 100 UI category rules with style priority, effects, anti-patterns - scripts/design_system.py - Reasoning engine with BM25 ranking ## Workflow Updates - All agent workflows updated with new design system generation step - Step 2 now requires --design-system for comprehensive recommendations - Updated example workflow with beauty spa case study ## CLI Updates - Version bumped to 2.0.0 - Added Qoder and Roo Code support - Synced all agent folders to cli/assets/ ## README Updates - Added version badges and PayPal donation button - New "What's New in v2.0" section with architecture diagram - Updated CLI installation instructions Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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@@ -3,6 +3,7 @@
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"""
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UI/UX Pro Max Search - BM25 search engine for UI/UX style guides
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Usage: python search.py "<query>" [--domain <domain>] [--stack <stack>] [--max-results 3]
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python search.py "<query>" --design-system [-p "Project Name"]
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Domains: style, prompt, color, chart, landing, product, ux, typography
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Stacks: html-tailwind, react, nextjs
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@@ -10,10 +11,11 @@ Stacks: html-tailwind, react, nextjs
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import argparse
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from core import CSV_CONFIG, AVAILABLE_STACKS, MAX_RESULTS, search, search_stack
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from design_system import generate_design_system
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def format_output(result):
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"""Format results for Trae consumption (token-optimized)"""
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"""Format results for Claude consumption (token-optimized)"""
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if "error" in result:
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return f"Error: {result['error']}"
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@@ -24,11 +26,9 @@ def format_output(result):
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else:
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output.append(f"## UI Pro Max Search Results")
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output.append(f"**Domain:** {result['domain']} | **Query:** {result['query']}")
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output.append(
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f"**Source:** {result['file']} | **Found:** {result['count']} results\n"
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)
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output.append(f"**Source:** {result['file']} | **Found:** {result['count']} results\n")
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for i, row in enumerate(result["results"], 1):
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for i, row in enumerate(result['results'], 1):
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output.append(f"### Result {i}")
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for key, value in row.items():
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value_str = str(value)
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@@ -43,35 +43,34 @@ def format_output(result):
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description="UI Pro Max Search")
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parser.add_argument("query", help="Search query")
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parser.add_argument(
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"--domain", "-d", choices=list(CSV_CONFIG.keys()), help="Search domain"
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)
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parser.add_argument(
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"--stack",
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"-s",
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choices=AVAILABLE_STACKS,
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help="Stack-specific search (html-tailwind, react, nextjs)",
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)
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parser.add_argument(
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"--max-results",
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"-n",
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type=int,
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default=MAX_RESULTS,
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help="Max results (default: 3)",
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)
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parser.add_argument("--domain", "-d", choices=list(CSV_CONFIG.keys()), help="Search domain")
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parser.add_argument("--stack", "-s", choices=AVAILABLE_STACKS, help="Stack-specific search (html-tailwind, react, nextjs)")
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parser.add_argument("--max-results", "-n", type=int, default=MAX_RESULTS, help="Max results (default: 3)")
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parser.add_argument("--json", action="store_true", help="Output as JSON")
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# Design system generation
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parser.add_argument("--design-system", "-ds", action="store_true", help="Generate complete design system recommendation")
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parser.add_argument("--project-name", "-p", type=str, default=None, help="Project name for design system output")
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parser.add_argument("--format", "-f", choices=["ascii", "markdown"], default="ascii", help="Output format for design system")
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args = parser.parse_args()
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# Stack search takes priority
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if args.stack:
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# Design system takes priority
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if args.design_system:
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result = generate_design_system(args.query, args.project_name, args.format)
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print(result)
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# Stack search
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elif args.stack:
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result = search_stack(args.query, args.stack, args.max_results)
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if args.json:
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import json
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print(json.dumps(result, indent=2, ensure_ascii=False))
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else:
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print(format_output(result))
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# Domain search
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else:
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result = search(args.query, args.domain, args.max_results)
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if args.json:
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import json
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print(json.dumps(result, indent=2, ensure_ascii=False))
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else:
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print(format_output(result))
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if args.json:
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import json
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print(json.dumps(result, indent=2, ensure_ascii=False))
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else:
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print(format_output(result))
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