Cómo desarrollar una habilidad SEO personalizada de Claude Code

import os, requests, json

API_KEY = os.environ['SCAVIO_API_KEY']
SH = {'x-api-key': API_KEY, 'Content-Type': 'application/json'}

# Claude Code skill definition
seo_skill = {
    'name': 'seo-audit',
    'description': 'Run a quick SEO audit on a domain: rank check, SERP features, keyword gaps.',
    'inputs': {
        'domain': 'Target domain to audit',
        'keywords': 'Comma-separated keywords to check (optional)',
        'competitors': 'Comma-separated competitor domains (optional)'
    }
}

def rank_check(domain, keywords):
    """Check domain position for each keyword."""
    results = []
    for kw in keywords:
        data = requests.post('https://api.scavio.dev/api/v1/search',
            headers=SH, json={'query': kw, 'country_code': 'us'}).json()
        organic = data.get('organic_results', [])
        position = None
        for i, r in enumerate(organic):
            if domain in r.get('link', ''):
                position = i + 1
                break
        results.append({'keyword': kw, 'position': position})
        pos_str = f'#{position}' if position else 'Not found'
        print(f'  {kw:40} | {pos_str}')
    return results

print('SEO Skill: rank_check')
rank_check('scavio.dev', ['search api', 'serp api python', 'mcp search tool'])
print(f'Cost: $0.015')

def serp_analysis(keywords):
    """Analyze SERP features for each keyword."""
    print(f'\n=== SERP Feature Analysis ===')
    for kw in keywords:
        data = requests.post('https://api.scavio.dev/api/v1/search',
            headers=SH, json={'query': kw, 'country_code': 'us'}).json()
        features = []
        if data.get('ai_overview') or data.get('answer_box'):
            features.append('AIO')
        if data.get('people_also_ask'):
            features.append(f'PAA({len(data["people_also_ask"])})')
        if data.get('featured_snippet'):
            features.append('Featured')
        if data.get('local_results'):
            features.append('Local')
        if data.get('shopping_results'):
            features.append('Shopping')
        feature_str = ' | '.join(features) if features else 'Organic only'
        print(f'  {kw:40} | {feature_str}')
    return features

def keyword_gaps(domain, competitors, keywords):
    """Find keywords where competitors rank but you do not."""
    print(f'\n=== Keyword Gaps ===')
    gaps = []
    for kw in keywords:
        data = requests.post('https://api.scavio.dev/api/v1/search',
            headers=SH, json={'query': kw, 'country_code': 'us'}).json()
        organic = data.get('organic_results', [])
        domain_found = any(domain in r.get('link', '') for r in organic)
        comp_found = [c for c in competitors if any(c in r.get('link', '') for r in organic)]
        if not domain_found and comp_found:
            gaps.append({'keyword': kw, 'competitors_ranking': comp_found})
            print(f'  GAP: "{kw}" - {len(comp_found)} competitors rank, you do not')
    if not gaps:
        print(f'  No gaps found - you rank for all checked keywords.')
    return gaps

serp_analysis(['search api', 'serp api comparison'])
keyword_gaps('scavio.dev', ['tavily.com', 'serpapi.com'], ['web scraping api', 'data extraction api'])

def seo_audit_skill(domain, keywords=None, competitors=None):
    """Complete SEO audit skill for Claude Code."""
    if keywords is None:
        keywords = [domain.replace('.com', '').replace('.dev', ''), f'{domain} alternative']
    if competitors is None:
        competitors = []
    print(f'\n{"=" * 60}')
    print(f'  SEO AUDIT: {domain}')
    print(f'  Date: 2026-05-20')
    print(f'  Keywords: {len(keywords)} | Competitors: {len(competitors)}')
    print(f'{"=" * 60}')
    # 1. Rank check
    print(f'\n--- Rankings ---')
    ranks = rank_check(domain, keywords)
    ranked = sum(1 for r in ranks if r['position'])
    # 2. SERP features
    print(f'\n--- SERP Features ---')
    serp_analysis(keywords)
    # 3. Keyword gaps
    if competitors:
        keyword_gaps(domain, competitors, keywords)
    # Summary
    total_queries = len(keywords) * 2 + (len(keywords) if competitors else 0)
    print(f'\n--- Summary ---')
    print(f'  Ranking: {ranked}/{len(keywords)} keywords')
    avg_pos = sum(r['position'] for r in ranks if r['position']) / ranked if ranked else 0
    print(f'  Avg position: #{avg_pos:.1f}' if ranked else '  Avg position: N/A')
    print(f'  Cost: ${total_queries * 0.005:.3f}')
    print(f'\n  Usage: /seo-audit {domain}')

seo_audit_skill('scavio.dev', 
    keywords=['search api', 'serp api python', 'mcp search tool'],
    competitors=['tavily.com', 'serpapi.com'])