feat: add Trae AI assistant skill for UI/UX design

Add comprehensive UI/UX Pro Max skill for Trae AI assistant with searchable design database:
- New .trae/skills/ui-ux-pro-max/SKILL.md with usage instructions and best practices
- Add charts.csv with 25 chart types and visualization recommendations
- Add colors.csv with 96 product-specific color palettes
- Add icons.csv with 100 curated Lucide React icons
- Include pre-delivery checklist for visual quality, interaction, and accessibility
- Support

cli/assets/.trae/skills/ui-ux-pro-max/scripts/search.py

@@ -0,0 +1,77 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+UI/UX Pro Max Search - BM25 search engine for UI/UX style guides
+Usage: python search.py "<query>" [--domain <domain>] [--stack <stack>] [--max-results 3]
+
+Domains: style, prompt, color, chart, landing, product, ux, typography
+Stacks: html-tailwind, react, nextjs
+"""
+
+import argparse
+from core import CSV_CONFIG, AVAILABLE_STACKS, MAX_RESULTS, search, search_stack
+
+
+def format_output(result):
+    """Format results for Trae consumption (token-optimized)"""
+    if "error" in result:
+        return f"Error: {result['error']}"
+
+    output = []
+    if result.get("stack"):
+        output.append(f"## UI Pro Max Stack Guidelines")
+        output.append(f"**Stack:** {result['stack']} | **Query:** {result['query']}")
+    else:
+        output.append(f"## UI Pro Max Search Results")
+        output.append(f"**Domain:** {result['domain']} | **Query:** {result['query']}")
+    output.append(
+        f"**Source:** {result['file']} | **Found:** {result['count']} results\n"
+    )
+
+    for i, row in enumerate(result["results"], 1):
+        output.append(f"### Result {i}")
+        for key, value in row.items():
+            value_str = str(value)
+            if len(value_str) > 300:
+                value_str = value_str[:300] + "..."
+            output.append(f"- **{key}:** {value_str}")
+        output.append("")
+
+    return "\n".join(output)
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser(description="UI Pro Max Search")
+    parser.add_argument("query", help="Search query")
+    parser.add_argument(
+        "--domain", "-d", choices=list(CSV_CONFIG.keys()), help="Search domain"
+    )
+    parser.add_argument(
+        "--stack",
+        "-s",
+        choices=AVAILABLE_STACKS,
+        help="Stack-specific search (html-tailwind, react, nextjs)",
+    )
+    parser.add_argument(
+        "--max-results",
+        "-n",
+        type=int,
+        default=MAX_RESULTS,
+        help="Max results (default: 3)",
+    )
+    parser.add_argument("--json", action="store_true", help="Output as JSON")
+
+    args = parser.parse_args()
+
+    # Stack search takes priority
+    if args.stack:
+        result = search_stack(args.query, args.stack, args.max_results)
+    else:
+        result = search(args.query, args.domain, args.max_results)
+
+    if args.json:
+        import json
+
+        print(json.dumps(result, indent=2, ensure_ascii=False))
+    else:
+        print(format_output(result))