Add custom Claude Code upgrades and restore all skills

Added 16 custom skills:
- ralph (RalphLoop autonomous agent)
- brainstorming (with Ralph integration)
- dispatching-parallel-agents
- autonomous-loop
- multi-ai-brainstorm
- cognitive-context, cognitive-core, cognitive-planner, cognitive-safety
- tool-discovery-agent
- ui-ux-pro-max (full design system)
- wordpress-ai
- agent-pipeline-builder
- dev-browser
- planning-with-files
- playwright-skill

Also organized remaining skills that were at root level into skills/ folder.

Total: 272 skills from skills.sh + 16 custom upgrades

Co-Authored-By: Claude <noreply@anthropic.com>

skills/ui-ux-pro-max/scripts/core.py

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+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+UI/UX Pro Max Core - BM25 search engine for UI/UX style guides
+"""
+
+import csv
+import re
+from pathlib import Path
+from math import log
+from collections import defaultdict
+
+# ============ CONFIGURATION ============
+DATA_DIR = Path(__file__).parent.parent / "data"
+MAX_RESULTS = 3
+
+CSV_CONFIG = {
+    "style": {
+        "file": "styles.csv",
+        "search_cols": ["Style Category", "Keywords", "Best For", "Type"],
+        "output_cols": ["Style Category", "Type", "Keywords", "Primary Colors", "Effects & Animation", "Best For", "Performance", "Accessibility", "Framework Compatibility", "Complexity"]
+    },
+    "prompt": {
+        "file": "prompts.csv",
+        "search_cols": ["Style Category", "AI Prompt Keywords (Copy-Paste Ready)", "CSS/Technical Keywords"],
+        "output_cols": ["Style Category", "AI Prompt Keywords (Copy-Paste Ready)", "CSS/Technical Keywords", "Implementation Checklist"]
+    },
+    "color": {
+        "file": "colors.csv",
+        "search_cols": ["Product Type", "Keywords", "Notes"],
+        "output_cols": ["Product Type", "Keywords", "Primary (Hex)", "Secondary (Hex)", "CTA (Hex)", "Background (Hex)", "Text (Hex)", "Border (Hex)", "Notes"]
+    },
+    "chart": {
+        "file": "charts.csv",
+        "search_cols": ["Data Type", "Keywords", "Best Chart Type", "Accessibility Notes"],
+        "output_cols": ["Data Type", "Keywords", "Best Chart Type", "Secondary Options", "Color Guidance", "Accessibility Notes", "Library Recommendation", "Interactive Level"]
+    },
+    "landing": {
+        "file": "landing.csv",
+        "search_cols": ["Pattern Name", "Keywords", "Conversion Optimization", "Section Order"],
+        "output_cols": ["Pattern Name", "Keywords", "Section Order", "Primary CTA Placement", "Color Strategy", "Conversion Optimization"]
+    },
+    "product": {
+        "file": "products.csv",
+        "search_cols": ["Product Type", "Keywords", "Primary Style Recommendation", "Key Considerations"],
+        "output_cols": ["Product Type", "Keywords", "Primary Style Recommendation", "Secondary Styles", "Landing Page Pattern", "Dashboard Style (if applicable)", "Color Palette Focus"]
+    },
+    "ux": {
+        "file": "ux-guidelines.csv",
+        "search_cols": ["Category", "Issue", "Description", "Platform"],
+        "output_cols": ["Category", "Issue", "Platform", "Description", "Do", "Don't", "Code Example Good", "Code Example Bad", "Severity"]
+    },
+    "typography": {
+        "file": "typography.csv",
+        "search_cols": ["Font Pairing Name", "Category", "Mood/Style Keywords", "Best For", "Heading Font", "Body Font"],
+        "output_cols": ["Font Pairing Name", "Category", "Heading Font", "Body Font", "Mood/Style Keywords", "Best For", "Google Fonts URL", "CSS Import", "Tailwind Config", "Notes"]
+    },
+    "icons": {
+        "file": "icons.csv",
+        "search_cols": ["Category", "Icon Name", "Keywords", "Best For"],
+        "output_cols": ["Category", "Icon Name", "Keywords", "Library", "Import Code", "Usage", "Best For", "Style"]
+    },
+    "react": {
+        "file": "react-performance.csv",
+        "search_cols": ["Category", "Issue", "Keywords", "Description"],
+        "output_cols": ["Category", "Issue", "Platform", "Description", "Do", "Don't", "Code Example Good", "Code Example Bad", "Severity"]
+    },
+    "web": {
+        "file": "web-interface.csv",
+        "search_cols": ["Category", "Issue", "Keywords", "Description"],
+        "output_cols": ["Category", "Issue", "Platform", "Description", "Do", "Don't", "Code Example Good", "Code Example Bad", "Severity"]
+    }
+}
+
+STACK_CONFIG = {
+    "html-tailwind": {"file": "stacks/html-tailwind.csv"},
+    "react": {"file": "stacks/react.csv"},
+    "nextjs": {"file": "stacks/nextjs.csv"},
+    "vue": {"file": "stacks/vue.csv"},
+    "nuxtjs": {"file": "stacks/nuxtjs.csv"},
+    "nuxt-ui": {"file": "stacks/nuxt-ui.csv"},
+    "svelte": {"file": "stacks/svelte.csv"},
+    "swiftui": {"file": "stacks/swiftui.csv"},
+    "react-native": {"file": "stacks/react-native.csv"},
+    "flutter": {"file": "stacks/flutter.csv"},
+    "shadcn": {"file": "stacks/shadcn.csv"},
+    "jetpack-compose": {"file": "stacks/jetpack-compose.csv"}
+}
+
+# Common columns for all stacks
+_STACK_COLS = {
+    "search_cols": ["Category", "Guideline", "Description", "Do", "Don't"],
+    "output_cols": ["Category", "Guideline", "Description", "Do", "Don't", "Code Good", "Code Bad", "Severity", "Docs URL"]
+}
+
+AVAILABLE_STACKS = list(STACK_CONFIG.keys())
+
+
+# ============ BM25 IMPLEMENTATION ============
+class BM25:
+    """BM25 ranking algorithm for text search"""
+
+    def __init__(self, k1=1.5, b=0.75):
+        self.k1 = k1
+        self.b = b
+        self.corpus = []
+        self.doc_lengths = []
+        self.avgdl = 0
+        self.idf = {}
+        self.doc_freqs = defaultdict(int)
+        self.N = 0
+
+    def tokenize(self, text):
+        """Lowercase, split, remove punctuation, filter short words"""
+        text = re.sub(r'[^\w\s]', ' ', str(text).lower())
+        return [w for w in text.split() if len(w) > 2]
+
+    def fit(self, documents):
+        """Build BM25 index from documents"""
+        self.corpus = [self.tokenize(doc) for doc in documents]
+        self.N = len(self.corpus)
+        if self.N == 0:
+            return
+        self.doc_lengths = [len(doc) for doc in self.corpus]
+        self.avgdl = sum(self.doc_lengths) / self.N
+
+        for doc in self.corpus:
+            seen = set()
+            for word in doc:
+                if word not in seen:
+                    self.doc_freqs[word] += 1
+                    seen.add(word)
+
+        for word, freq in self.doc_freqs.items():
+            self.idf[word] = log((self.N - freq + 0.5) / (freq + 0.5) + 1)
+
+    def score(self, query):
+        """Score all documents against query"""
+        query_tokens = self.tokenize(query)
+        scores = []
+
+        for idx, doc in enumerate(self.corpus):
+            score = 0
+            doc_len = self.doc_lengths[idx]
+            term_freqs = defaultdict(int)
+            for word in doc:
+                term_freqs[word] += 1
+
+            for token in query_tokens:
+                if token in self.idf:
+                    tf = term_freqs[token]
+                    idf = self.idf[token]
+                    numerator = tf * (self.k1 + 1)
+                    denominator = tf + self.k1 * (1 - self.b + self.b * doc_len / self.avgdl)
+                    score += idf * numerator / denominator
+
+            scores.append((idx, score))
+
+        return sorted(scores, key=lambda x: x[1], reverse=True)
+
+
+# ============ SEARCH FUNCTIONS ============
+def _load_csv(filepath):
+    """Load CSV and return list of dicts"""
+    with open(filepath, 'r', encoding='utf-8') as f:
+        return list(csv.DictReader(f))
+
+
+def _search_csv(filepath, search_cols, output_cols, query, max_results):
+    """Core search function using BM25"""
+    if not filepath.exists():
+        return []
+
+    data = _load_csv(filepath)
+
+    # Build documents from search columns
+    documents = [" ".join(str(row.get(col, "")) for col in search_cols) for row in data]
+
+    # BM25 search
+    bm25 = BM25()
+    bm25.fit(documents)
+    ranked = bm25.score(query)
+
+    # Get top results with score > 0
+    results = []
+    for idx, score in ranked[:max_results]:
+        if score > 0:
+            row = data[idx]
+            results.append({col: row.get(col, "") for col in output_cols if col in row})
+
+    return results
+
+
+def detect_domain(query):
+    """Auto-detect the most relevant domain from query"""
+    query_lower = query.lower()
+
+    domain_keywords = {
+        "color": ["color", "palette", "hex", "#", "rgb"],
+        "chart": ["chart", "graph", "visualization", "trend", "bar", "pie", "scatter", "heatmap", "funnel"],
+        "landing": ["landing", "page", "cta", "conversion", "hero", "testimonial", "pricing", "section"],
+        "product": ["saas", "ecommerce", "e-commerce", "fintech", "healthcare", "gaming", "portfolio", "crypto", "dashboard"],
+        "prompt": ["prompt", "css", "implementation", "variable", "checklist", "tailwind"],
+        "style": ["style", "design", "ui", "minimalism", "glassmorphism", "neumorphism", "brutalism", "dark mode", "flat", "aurora"],
+        "ux": ["ux", "usability", "accessibility", "wcag", "touch", "scroll", "animation", "keyboard", "navigation", "mobile"],
+        "typography": ["font", "typography", "heading", "serif", "sans"],
+        "icons": ["icon", "icons", "lucide", "heroicons", "symbol", "glyph", "pictogram", "svg icon"],
+        "react": ["react", "next.js", "nextjs", "suspense", "memo", "usecallback", "useeffect", "rerender", "bundle", "waterfall", "barrel", "dynamic import", "rsc", "server component"],
+        "web": ["aria", "focus", "outline", "semantic", "virtualize", "autocomplete", "form", "input type", "preconnect"]
+    }
+
+    scores = {domain: sum(1 for kw in keywords if kw in query_lower) for domain, keywords in domain_keywords.items()}
+    best = max(scores, key=scores.get)
+    return best if scores[best] > 0 else "style"
+
+
+def search(query, domain=None, max_results=MAX_RESULTS):
+    """Main search function with auto-domain detection"""
+    if domain is None:
+        domain = detect_domain(query)
+
+    config = CSV_CONFIG.get(domain, CSV_CONFIG["style"])
+    filepath = DATA_DIR / config["file"]
+
+    if not filepath.exists():
+        return {"error": f"File not found: {filepath}", "domain": domain}
+
+    results = _search_csv(filepath, config["search_cols"], config["output_cols"], query, max_results)
+
+    return {
+        "domain": domain,
+        "query": query,
+        "file": config["file"],
+        "count": len(results),
+        "results": results
+    }
+
+
+def search_stack(query, stack, max_results=MAX_RESULTS):
+    """Search stack-specific guidelines"""
+    if stack not in STACK_CONFIG:
+        return {"error": f"Unknown stack: {stack}. Available: {', '.join(AVAILABLE_STACKS)}"}
+
+    filepath = DATA_DIR / STACK_CONFIG[stack]["file"]
+
+    if not filepath.exists():
+        return {"error": f"Stack file not found: {filepath}", "stack": stack}
+
+    results = _search_csv(filepath, _STACK_COLS["search_cols"], _STACK_COLS["output_cols"], query, max_results)
+
+    return {
+        "domain": "stack",
+        "stack": stack,
+        "query": query,
+        "file": STACK_CONFIG[stack]["file"],
+        "count": len(results),
+        "results": results
+    }

skills/ui-ux-pro-max/scripts/search.py

@@ -0,0 +1,106 @@
+#!/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]
+       python search.py "<query>" --design-system [-p "Project Name"]
+       python search.py "<query>" --design-system --persist [-p "Project Name"] [--page "dashboard"]
+
+Domains: style, prompt, color, chart, landing, product, ux, typography
+Stacks: html-tailwind, react, nextjs
+
+Persistence (Master + Overrides pattern):
+  --persist    Save design system to design-system/MASTER.md
+  --page       Also create a page-specific override file in design-system/pages/
+"""
+
+import argparse
+from core import CSV_CONFIG, AVAILABLE_STACKS, MAX_RESULTS, search, search_stack
+from design_system import generate_design_system, persist_design_system
+
+
+def format_output(result):
+    """Format results for Claude 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")
+    # Design system generation
+    parser.add_argument("--design-system", "-ds", action="store_true", help="Generate complete design system recommendation")
+    parser.add_argument("--project-name", "-p", type=str, default=None, help="Project name for design system output")
+    parser.add_argument("--format", "-f", choices=["ascii", "markdown"], default="ascii", help="Output format for design system")
+    # Persistence (Master + Overrides pattern)
+    parser.add_argument("--persist", action="store_true", help="Save design system to design-system/MASTER.md (creates hierarchical structure)")
+    parser.add_argument("--page", type=str, default=None, help="Create page-specific override file in design-system/pages/")
+    parser.add_argument("--output-dir", "-o", type=str, default=None, help="Output directory for persisted files (default: current directory)")
+
+    args = parser.parse_args()
+
+    # Design system takes priority
+    if args.design_system:
+        result = generate_design_system(
+            args.query, 
+            args.project_name, 
+            args.format,
+            persist=args.persist,
+            page=args.page,
+            output_dir=args.output_dir
+        )
+        print(result)
+        
+        # Print persistence confirmation
+        if args.persist:
+            project_slug = args.project_name.lower().replace(' ', '-') if args.project_name else "default"
+            print("\n" + "=" * 60)
+            print(f"✅ Design system persisted to design-system/{project_slug}/")
+            print(f"   📄 design-system/{project_slug}/MASTER.md (Global Source of Truth)")
+            if args.page:
+                page_filename = args.page.lower().replace(' ', '-')
+                print(f"   📄 design-system/{project_slug}/pages/{page_filename}.md (Page Overrides)")
+            print("")
+            print(f"📖 Usage: When building a page, check design-system/{project_slug}/pages/[page].md first.")
+            print(f"   If exists, its rules override MASTER.md. Otherwise, use MASTER.md.")
+            print("=" * 60)
+    # Stack search
+    elif args.stack:
+        result = search_stack(args.query, args.stack, args.max_results)
+        if args.json:
+            import json
+            print(json.dumps(result, indent=2, ensure_ascii=False))
+        else:
+            print(format_output(result))
+    # Domain search
+    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))

skills/ui-ux-pro-max/scripts/wordpress_safe_update.sh

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+#!/bin/bash
+
+# WordPress Safe Content Update Script
+# Prevents encoding issues when updating WordPress post content
+# Usage: ./wordpress_safe_update.sh <post_id> <html_file_path>
+
+set -euo pipefail
+
+# Configuration
+DB_NAME="wordpress"
+DB_USER="root"
+TABLE_PREFIX="wp_"
+
+# Check arguments
+if [ $# -ne 2 ]; then
+    echo "Usage: $0 <post_id> <html_file_path>"
+    echo "Example: $0 112 /tmp/article_content.html"
+    exit 1
+fi
+
+POST_ID="$1"
+HTML_FILE="$2"
+
+# Verify file exists
+if [ ! -f "$HTML_FILE" ]; then
+    echo "Error: File not found: $HTML_FILE"
+    exit 1
+fi
+
+# Verify file is readable
+if [ ! -r "$HTML_FILE" ]; then
+    echo "Error: File is not readable: $HTML_FILE"
+    exit 1
+fi
+
+# Check file encoding
+FILE_ENCODING=$(file -b --mime-encoding "$HTML_FILE")
+if [[ ! "$FILE_ENCODING" =~ utf-8 ]]; then
+    echo "Warning: File encoding is $FILE_ENCODING, expected utf-8"
+    echo "Converting to UTF-8..."
+    iconv -f UTF-8 -t UTF-8 "$HTML_FILE" > "${HTML_FILE}.utf8"
+    mv "${HTML_FILE}.utf8" "$HTML_FILE"
+fi
+
+# Verify no literal escape sequences
+if grep -q '\\n' "$HTML_FILE"; then
+    echo "Error: File contains literal \\n escape sequences"
+    echo "Please fix the file before updating WordPress"
+    exit 1
+fi
+
+# Backup current content
+echo "Backing up current content..."
+sudo mysql "${DB_NAME}" --skip-column-names --raw \
+    -e "SELECT post_content FROM ${TABLE_PREFIX}posts WHERE ID = ${POST_ID};" \
+    > "/tmp/wp_post_${POST_ID}_backup_$(date +%Y%m%d_%H%M%S).html"
+
+# Update post content
+echo "Updating post ID ${POST_ID}..."
+sudo mysql "${DB_NAME}" \
+    -e "UPDATE ${TABLE_PREFIX}posts SET post_content = LOAD_FILE('${HTML_FILE}') WHERE ID = ${POST_ID};"
+
+# Verify update
+RESULT=$(sudo mysql "${DB_NAME}" --skip-column-names --raw \
+    -e "SELECT post_content FROM ${TABLE_PREFIX}posts WHERE ID = ${POST_ID};" \
+    | head -20)
+
+if echo "$RESULT" | grep -q '<!DOCTYPE\|<section\|<div'; then
+    echo "✓ Update successful!"
+    echo "✓ Post ID ${POST_ID} has been updated"
+    echo "✓ Content verified"
+else
+    echo "✗ Update may have failed - please verify manually"
+    exit 1
+fi
+
+echo ""
+echo "Verification preview:"
+echo "$RESULT"
+echo ""
+echo "To view full content:"
+echo "sudo mysql ${DB_NAME} --skip-column-names --raw -e \"SELECT post_content FROM ${TABLE_PREFIX}posts WHERE ID = ${POST_ID};\""