Initial commit: Claude Skills Factory with 8 refined custom skills
Custom Skills (ourdigital-custom-skills/): - 00-ourdigital-visual-storytelling: Blog featured image prompt generator - 01-ourdigital-research-publisher: Research-to-publication workflow - 02-notion-organizer: Notion workspace management - 03-research-to-presentation: Notion research to PPT/Figma - 04-seo-gateway-strategist: SEO gateway page strategy planning - 05-gateway-page-content-builder: Gateway page content generation - 20-jamie-brand-editor: Jamie Clinic branded content GENERATION - 21-jamie-brand-guardian: Jamie Clinic content REVIEW & evaluation Refinements applied: - All skills converted to SKILL.md format with YAML frontmatter - Added version fields to all skills - Flattened nested folder structures - Removed packaging artifacts (.zip, .skill files) - Reorganized file structures (scripts/, references/, etc.) - Differentiated Jamie skills with clear roles 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
@@ -0,0 +1,316 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Keyword Analyzer for SEO Gateway Pages
|
||||
Analyzes keywords and generates SEO strategy recommendations
|
||||
"""
|
||||
|
||||
import json
|
||||
from typing import Dict, List, Tuple
|
||||
from dataclasses import dataclass
|
||||
from datetime import datetime
|
||||
|
||||
@dataclass
|
||||
class KeywordData:
|
||||
"""Data structure for keyword information"""
|
||||
keyword: str
|
||||
search_volume: int
|
||||
difficulty: float
|
||||
intent: str
|
||||
cpc: float = 0.0
|
||||
trend: str = "stable"
|
||||
|
||||
class KeywordAnalyzer:
|
||||
"""Analyzes keywords for SEO gateway pages"""
|
||||
|
||||
def __init__(self, primary_keyword: str):
|
||||
self.primary_keyword = primary_keyword
|
||||
self.results = {
|
||||
"primary": None,
|
||||
"lsi": [],
|
||||
"long_tail": [],
|
||||
"questions": [],
|
||||
"intent_distribution": {},
|
||||
"recommendations": []
|
||||
}
|
||||
|
||||
def analyze_primary_keyword(self) -> KeywordData:
|
||||
"""
|
||||
Analyzes the primary keyword
|
||||
In production, this would call actual keyword research APIs
|
||||
"""
|
||||
# Simulated data - replace with actual API calls
|
||||
keyword_data = {
|
||||
"눈 성형": {"volume": 12000, "difficulty": 65, "intent": "informational", "cpc": 2500},
|
||||
"이마 성형": {"volume": 5500, "difficulty": 55, "intent": "informational", "cpc": 3000},
|
||||
"동안 성형": {"volume": 8000, "difficulty": 70, "intent": "comparative", "cpc": 2800},
|
||||
}
|
||||
|
||||
data = keyword_data.get(self.primary_keyword, {
|
||||
"volume": 1000,
|
||||
"difficulty": 50,
|
||||
"intent": "informational",
|
||||
"cpc": 1000
|
||||
})
|
||||
|
||||
self.results["primary"] = KeywordData(
|
||||
keyword=self.primary_keyword,
|
||||
search_volume=data["volume"],
|
||||
difficulty=data["difficulty"],
|
||||
intent=data["intent"],
|
||||
cpc=data["cpc"]
|
||||
)
|
||||
|
||||
return self.results["primary"]
|
||||
|
||||
def generate_lsi_keywords(self) -> List[KeywordData]:
|
||||
"""Generates LSI (Latent Semantic Indexing) keywords"""
|
||||
|
||||
lsi_patterns = {
|
||||
"눈 성형": [
|
||||
("쌍꺼풀 수술", 8000, "transactional"),
|
||||
("눈매교정", 5500, "informational"),
|
||||
("앞트임", 4000, "informational"),
|
||||
("뒤트임", 3500, "informational"),
|
||||
("눈 성형 비용", 2000, "comparative"),
|
||||
("눈 성형 부작용", 1500, "informational"),
|
||||
("눈 성형 회복기간", 1800, "informational"),
|
||||
("눈 성형 전후", 3000, "comparative"),
|
||||
("남자 눈 성형", 2500, "informational"),
|
||||
("눈 성형 잘하는곳", 2200, "comparative")
|
||||
],
|
||||
"이마 성형": [
|
||||
("이마거상술", 3000, "informational"),
|
||||
("이마축소술", 2500, "informational"),
|
||||
("헤어라인교정", 4000, "transactional"),
|
||||
("이마 성형 비용", 1200, "comparative"),
|
||||
("이마 보톡스", 6000, "transactional"),
|
||||
("M자 탈모 수술", 5000, "informational"),
|
||||
("이마 필러", 4500, "transactional"),
|
||||
("이마 성형 부작용", 800, "informational"),
|
||||
("이마 리프팅", 3500, "comparative"),
|
||||
("이마 주름 제거", 2800, "transactional")
|
||||
],
|
||||
"동안 성형": [
|
||||
("안면 리프팅", 7000, "transactional"),
|
||||
("실리프팅", 9000, "transactional"),
|
||||
("보톡스 시술", 15000, "transactional"),
|
||||
("필러 시술", 12000, "transactional"),
|
||||
("동안 성형 비용", 2500, "comparative"),
|
||||
("울쎄라", 8000, "comparative"),
|
||||
("써마지", 6500, "comparative"),
|
||||
("동안 시술 종류", 1800, "informational"),
|
||||
("주름 제거 시술", 4000, "transactional"),
|
||||
("동안 성형 추천", 2200, "comparative")
|
||||
]
|
||||
}
|
||||
|
||||
lsi_list = lsi_patterns.get(self.primary_keyword, [
|
||||
(f"{self.primary_keyword} 비용", 1000, "comparative"),
|
||||
(f"{self.primary_keyword} 부작용", 800, "informational"),
|
||||
(f"{self.primary_keyword} 후기", 1200, "comparative"),
|
||||
])
|
||||
|
||||
for keyword, volume, intent in lsi_list:
|
||||
self.results["lsi"].append(KeywordData(
|
||||
keyword=keyword,
|
||||
search_volume=volume,
|
||||
difficulty=45 + (volume/1000), # Simple difficulty calculation
|
||||
intent=intent
|
||||
))
|
||||
|
||||
return self.results["lsi"]
|
||||
|
||||
def generate_long_tail_keywords(self) -> List[str]:
|
||||
"""Generates long-tail keyword variations"""
|
||||
|
||||
location_modifiers = ["강남", "신사", "청담", "압구정", "서울"]
|
||||
action_modifiers = ["잘하는곳", "추천", "유명한", "전문", "비용"]
|
||||
|
||||
long_tails = []
|
||||
for location in location_modifiers:
|
||||
long_tails.append(f"{location} {self.primary_keyword}")
|
||||
for action in action_modifiers[:2]: # Limit combinations
|
||||
long_tails.append(f"{location} {self.primary_keyword} {action}")
|
||||
|
||||
self.results["long_tail"] = long_tails
|
||||
return long_tails
|
||||
|
||||
def generate_question_keywords(self) -> List[str]:
|
||||
"""Generates question-based keywords for featured snippets"""
|
||||
|
||||
question_templates = [
|
||||
f"{self.primary_keyword} 비용은 얼마인가요?",
|
||||
f"{self.primary_keyword} 회복기간은 얼마나 걸리나요?",
|
||||
f"{self.primary_keyword} 부작용이 있나요?",
|
||||
f"{self.primary_keyword} 통증이 심한가요?",
|
||||
f"{self.primary_keyword} 효과는 얼마나 지속되나요?",
|
||||
f"{self.primary_keyword} 나이 제한이 있나요?",
|
||||
f"{self.primary_keyword} 후 주의사항은 무엇인가요?"
|
||||
]
|
||||
|
||||
self.results["questions"] = question_templates
|
||||
return question_templates
|
||||
|
||||
def calculate_intent_distribution(self) -> Dict[str, float]:
|
||||
"""Calculates user intent distribution across keywords"""
|
||||
|
||||
intent_counts = {
|
||||
"informational": 0,
|
||||
"comparative": 0,
|
||||
"transactional": 0,
|
||||
"navigational": 0
|
||||
}
|
||||
|
||||
# Count primary keyword intent
|
||||
if self.results["primary"]:
|
||||
intent_counts[self.results["primary"].intent] += self.results["primary"].search_volume
|
||||
|
||||
# Count LSI keyword intents
|
||||
for kw in self.results["lsi"]:
|
||||
intent_counts[kw.intent] += kw.search_volume
|
||||
|
||||
# Calculate percentages
|
||||
total_volume = sum(intent_counts.values())
|
||||
if total_volume > 0:
|
||||
self.results["intent_distribution"] = {
|
||||
intent: round((count/total_volume) * 100, 1)
|
||||
for intent, count in intent_counts.items()
|
||||
if count > 0
|
||||
}
|
||||
|
||||
return self.results["intent_distribution"]
|
||||
|
||||
def generate_recommendations(self) -> List[str]:
|
||||
"""Generates SEO recommendations based on analysis"""
|
||||
|
||||
recommendations = []
|
||||
|
||||
# Based on search volume
|
||||
if self.results["primary"] and self.results["primary"].search_volume > 10000:
|
||||
recommendations.append("High search volume detected - prioritize this page for development")
|
||||
|
||||
# Based on intent distribution
|
||||
intent_dist = self.results["intent_distribution"]
|
||||
if intent_dist.get("informational", 0) > 50:
|
||||
recommendations.append("Focus on educational content and comprehensive guides")
|
||||
if intent_dist.get("comparative", 0) > 30:
|
||||
recommendations.append("Include comparison tables and competitive differentiators")
|
||||
if intent_dist.get("transactional", 0) > 20:
|
||||
recommendations.append("Optimize conversion elements and CTAs above the fold")
|
||||
|
||||
# Based on competition
|
||||
if self.results["primary"] and self.results["primary"].difficulty > 60:
|
||||
recommendations.append("High competition - invest in quality content and backlinks")
|
||||
recommendations.append("Target long-tail keywords for quicker wins")
|
||||
|
||||
# Question keywords
|
||||
if len(self.results["questions"]) > 5:
|
||||
recommendations.append("Implement FAQ schema markup for featured snippets")
|
||||
|
||||
self.results["recommendations"] = recommendations
|
||||
return recommendations
|
||||
|
||||
def export_analysis(self, filename: str = None) -> str:
|
||||
"""Exports the analysis results to JSON"""
|
||||
|
||||
if not filename:
|
||||
filename = f"keyword_analysis_{self.primary_keyword.replace(' ', '_')}_{datetime.now().strftime('%Y%m%d')}.json"
|
||||
|
||||
export_data = {
|
||||
"analysis_date": datetime.now().isoformat(),
|
||||
"primary_keyword": self.primary_keyword,
|
||||
"primary_data": {
|
||||
"keyword": self.results["primary"].keyword,
|
||||
"search_volume": self.results["primary"].search_volume,
|
||||
"difficulty": self.results["primary"].difficulty,
|
||||
"intent": self.results["primary"].intent
|
||||
} if self.results["primary"] else None,
|
||||
"lsi_keywords": [
|
||||
{
|
||||
"keyword": kw.keyword,
|
||||
"volume": kw.search_volume,
|
||||
"intent": kw.intent
|
||||
} for kw in self.results["lsi"]
|
||||
],
|
||||
"long_tail_keywords": self.results["long_tail"],
|
||||
"question_keywords": self.results["questions"],
|
||||
"intent_distribution": self.results["intent_distribution"],
|
||||
"recommendations": self.results["recommendations"]
|
||||
}
|
||||
|
||||
with open(filename, 'w', encoding='utf-8') as f:
|
||||
json.dump(export_data, f, ensure_ascii=False, indent=2)
|
||||
|
||||
return filename
|
||||
|
||||
def generate_report(self) -> str:
|
||||
"""Generates a formatted text report"""
|
||||
|
||||
report = f"""
|
||||
# Keyword Analysis Report
|
||||
Generated: {datetime.now().strftime('%Y-%m-%d %H:%M')}
|
||||
|
||||
## Primary Keyword: {self.primary_keyword}
|
||||
- Search Volume: {self.results['primary'].search_volume:,}
|
||||
- Difficulty: {self.results['primary'].difficulty}/100
|
||||
- Primary Intent: {self.results['primary'].intent.capitalize()}
|
||||
|
||||
## LSI Keywords (Top 10)
|
||||
"""
|
||||
for i, kw in enumerate(self.results['lsi'][:10], 1):
|
||||
report += f"{i}. {kw.keyword} - Volume: {kw.search_volume:,} ({kw.intent})\n"
|
||||
|
||||
report += f"\n## User Intent Distribution\n"
|
||||
for intent, percentage in self.results['intent_distribution'].items():
|
||||
report += f"- {intent.capitalize()}: {percentage}%\n"
|
||||
|
||||
report += f"\n## Long-tail Opportunities\n"
|
||||
for keyword in self.results['long_tail'][:5]:
|
||||
report += f"- {keyword}\n"
|
||||
|
||||
report += f"\n## Question Keywords (FAQ Optimization)\n"
|
||||
for question in self.results['questions'][:5]:
|
||||
report += f"- {question}\n"
|
||||
|
||||
report += f"\n## Strategic Recommendations\n"
|
||||
for i, rec in enumerate(self.results['recommendations'], 1):
|
||||
report += f"{i}. {rec}\n"
|
||||
|
||||
return report
|
||||
|
||||
|
||||
def main():
|
||||
"""Main execution function"""
|
||||
import sys
|
||||
|
||||
if len(sys.argv) < 2:
|
||||
print("Usage: python keyword_analyzer.py '키워드'")
|
||||
print("Example: python keyword_analyzer.py '눈 성형'")
|
||||
sys.exit(1)
|
||||
|
||||
keyword = ' '.join(sys.argv[1:])
|
||||
|
||||
print(f"Analyzing keyword: {keyword}")
|
||||
print("-" * 50)
|
||||
|
||||
analyzer = KeywordAnalyzer(keyword)
|
||||
|
||||
# Run analysis
|
||||
analyzer.analyze_primary_keyword()
|
||||
analyzer.generate_lsi_keywords()
|
||||
analyzer.generate_long_tail_keywords()
|
||||
analyzer.generate_question_keywords()
|
||||
analyzer.calculate_intent_distribution()
|
||||
analyzer.generate_recommendations()
|
||||
|
||||
# Generate and print report
|
||||
report = analyzer.generate_report()
|
||||
print(report)
|
||||
|
||||
# Export to JSON
|
||||
filename = analyzer.export_analysis()
|
||||
print(f"\nAnalysis exported to: {filename}")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
@@ -0,0 +1,25 @@
|
||||
# Python dependencies for SEO Gateway Page Strategist scripts
|
||||
# Install with: pip install -r requirements.txt
|
||||
|
||||
# Core dependencies
|
||||
requests>=2.28.0
|
||||
beautifulsoup4>=4.11.0
|
||||
pandas>=1.5.0
|
||||
numpy>=1.23.0
|
||||
|
||||
# For API integrations (optional)
|
||||
google-api-python-client>=2.70.0
|
||||
pytrends>=4.9.0
|
||||
|
||||
# For data visualization (optional)
|
||||
matplotlib>=3.6.0
|
||||
seaborn>=0.12.0
|
||||
|
||||
# For export formats
|
||||
openpyxl>=3.0.0
|
||||
jinja2>=3.1.0
|
||||
|
||||
# Development tools
|
||||
pytest>=7.2.0
|
||||
black>=22.0.0
|
||||
pylint>=2.15.0
|
||||
Reference in New Issue
Block a user