r20-glebis-seo-content-marketing-skills

name	r20-glebis-seo-content-marketing-skills
description	SEO & Content Marketing skill suite for Claude with keyword research, content audits, technical SEO, and structured workflows
triggers	["help me with SEO analysis","run a content audit on this site","do keyword research for","analyze competitor SEO gaps","create an SEO content brief","check technical SEO issues","build a content calendar","find backlink opportunities"]

r20-glebis-seo-content-marketing-skills

Skill by ara.so — Marketing Skills collection.

A specialized SEO & Content Marketing command suite derived from glebis/claude-skills, providing 10 domain-specific commands and 5 multi-step workflows with structured output, progress tracking, and actionable recommendations.

What This Skill Does

This skill suite transforms Claude into an SEO & Content Marketing specialist with:

• Keyword Research — clustering, intent mapping, and opportunity scoring
• Content Audits — quality analysis, duplication detection, cannibalization reports
• Technical SEO — crawl budget, Core Web Vitals, schema markup validation
• Competitor Analysis — backlink gaps, topic gaps, featured snippet opportunities
• Content Strategy — AI-generated briefs, calendars, and optimization workflows
• Link Building — prospect identification and outreach automation
• Local SEO — NAP consistency, GBP optimization, citation audits

All commands follow a consistent 5-step interaction pattern with visual progress tracking and prioritized action plans.

Installation

Method 1: Manual Installation

# Clone the repository
git clone https://github.com/OhmWhaleIncrease/r20-glebis-claude-skills-seo.git

# Copy to Claude skills directory
mkdir -p ~/.claude/skills/
cp -r r20-glebis-claude-skills-seo ~/.claude/skills/

# Register in Claude Code session
# In Claude Code:
/read ~/.claude/skills/r20-glebis-claude-skills-seo/SKILL.md

Method 2: Direct Integration

In your Claude Code session:

/load-skill https://github.com/OhmWhaleIncrease/r20-glebis-claude-skills-seo

Core Commands

Keyword Research

/keyword-research <target>

Options:

• --depth — shallow | medium | deep (default: medium)
• --lang — language code (default: en)
• --output — md | json | csv

Example:

/keyword-research "project management software" --depth deep --output md

Output Structure:

• Seed keyword expansion (LSI, related, questions)
• Search volume & competition metrics
• Intent classification (informational, commercial, transactional, navigational)
• Keyword clustering by topic
• Opportunity score (1-100)
• SERP feature opportunities (featured snippets, PAA, local pack)

Content Audit

/content-audit --scope <full|sample|urls> --output <format>

Options:

• --scope full — crawl entire site
• --scope sample:50 — analyze 50 random pages
• --scope urls:file.txt — specific URL list
• --metrics — word-count,readability,keywords,links (comma-separated)

Example:

/content-audit --scope full --metrics word-count,readability,keywords --output md

Analysis includes:

• Content quality scoring (uniqueness, depth, readability)
• Thin content identification (<300 words)
• Duplicate/near-duplicate detection
• Keyword cannibalization report
• Internal linking structure
• Content gaps vs. competitors

Technical SEO Audit

/technical-seo <domain>

Checks:

• Crawl budget optimization (robots.txt, XML sitemaps, status codes)
• Core Web Vitals (LCP, FID, CLS)
• Schema markup validation (JSON-LD, microdata)
• Mobile usability (viewport, tap targets, font sizes)
• HTTPS implementation & mixed content
• Canonical tags & pagination handling
• Hreflang for international sites
• JavaScript rendering issues

Example:

/technical-seo example.com --output json

Competitor Gap Analysis

/competitor-gap <your-domain> <competitor-domains...>

Example:

/competitor-gap example.com competitor1.com competitor2.com --focus backlinks,content

Analysis:

• Backlink gap (links they have, you don't)
• Topic/keyword gap (content they rank for, you don't)
• Featured snippet opportunities
• Domain authority comparison
• Content velocity analysis
• SERP feature ownership

SEO Content Brief Generation

/content-brief <topic>

Example:

/content-brief "how to choose project management software" --format detailed

Generated brief includes:

• Target keyword + semantically related terms
• Search intent analysis
• Recommended word count (based on top 10 SERP analysis)
• H2/H3 outline structure
• NLP/TF-IDF terms to include
• Questions to answer (from PAA)
• Internal linking suggestions
• Meta title & description templates
• Multimedia recommendations

SERP Position Monitoring

/serp-monitor <keywords-file>

Example:

/serp-monitor keywords.txt --frequency daily --alerts volatility

Tracking:

• Daily rank positions (desktop & mobile)
• SERP feature tracking (featured snippet, PAA, local pack, image pack)
• Competitor movement
• CTR optimization opportunities
• Volatility alerts
• Seasonal trend identification

Link Prospecting

/link-prospecting <niche> --quality-threshold <score>

Example:

/link-prospecting "saas marketing" --quality-threshold 40 --type guest-post,resource-page

Output:

• Prospect list with DA/DR scores
• Contact information (when publicly available)
• Outreach templates customized by prospect type
• Relationship strength indicators
• Priority scoring

Page Speed SEO Analysis

/page-speed-seo <url>

Analysis:

• Render-blocking resources
• Largest Contentful Paint (LCP) optimization
• Cumulative Layout Shift (CLS) fixes
• First Input Delay (FID) improvements
• Image optimization opportunities
• Font loading strategy
• Third-party script impact
• SEO impact scoring (how speed affects rankings)

Local SEO Audit

/local-seo <business-name> --location <city,state>

Example:

/local-seo "Acme Plumbing" --location "Austin,TX"

Checks:

• NAP (Name, Address, Phone) consistency across directories
• Google Business Profile optimization
• Local citation audit (top 50 directories)
• Review profile analysis
• Local pack ranking factors
• Geographic keyword opportunities
• Competitor local presence

Content Calendar Generation

/content-calendar --months <number> --topics <list>

Example:

/content-calendar --months 3 --topics "email marketing,lead generation,marketing automation" --output csv

Calendar includes:

• Topic assignments by week
• Target keywords per piece
• Search demand trends
• Seasonality considerations
• Content format recommendations
• Internal linking opportunities
• Publishing frequency optimization

Multi-Step Workflows

Full SEO Sprint

/workflows:full-seo-sprint <domain> --scope full

12-Step Process:

1. Technical SEO audit
2. Backlink profile analysis
3. Keyword gap identification
4. Content audit & quality scoring
5. On-page optimization opportunities
6. Keyword clustering & mapping
7. Content strategy development
8. Internal linking architecture
9. Conversion optimization alignment
10. Competitor benchmarking
11. Priority action roadmap
12. KPI dashboard setup

Pre-Launch SEO Checklist

/workflows:launch-seo <domain>

Validation:

• robots.txt configuration
• XML sitemap generation & submission
• Canonical URL implementation
• Hreflang setup (if international)
• Schema markup deployment
• Google Search Console setup
• Google Analytics 4 integration
• Core Web Vitals baseline
• Mobile-first indexing readiness
• HTTPS & security headers

Content Refresh Workflow

/workflows:content-refresh --min-age 180 --position-drop 5

Process:

1. Identify underperforming pages (ranking dropped 5+ positions)
2. Analyze SERP changes (new competitors, intent shifts)
3. Content gap analysis (what's missing vs. top 10)
4. Refresh recommendations (add sections, update data, improve depth)
5. Re-optimization checklist
6. Internal linking boost
7. Republish & reindex strategy
8. Monitor recovery

Authority Building Campaign

/workflows:authority-building <niche> --duration 90

End-to-end link building:

1. Link gap analysis vs. competitors
2. Linkable asset identification
3. Digital PR opportunity research
4. Journalist/editor database building
5. Outreach template creation
6. Relationship tracking setup
7. Content collaboration proposals
8. Campaign performance monitoring

AI Content Pipeline

/workflows:ai-content-pipeline <topic-list>

Automation:

1. Keyword research & clustering
2. SEO brief generation
3. AI draft creation (with human review points)
4. On-page optimization
5. Internal linking integration
6. Image optimization & alt text
7. Schema markup injection
8. Publishing & indexing
9. Performance tracking setup

Output UI Conventions

All commands use consistent structured output:

Progress Panel

╔══════════════════════════════════════════════════╗
║  Technical SEO Audit  —  example.com             ║
╠══════════════════════════════════════════════════╣
║  Crawling pages …       [████████░░]  82%        ║
║  Checking Core Web …    [██████████] 100% ✓      ║
║  Validating schema …    [█████░░░░░]  50%        ║
╚══════════════════════════════════════════════════╝

Findings Table

┌──────────────────────┬──────────┬──────────┬──────────┐
│ Issue                │ Severity │ Count    │ Impact   │
├──────────────────────┼──────────┼──────────┼──────────┤
│ Missing title tags   │    🔴    │       23 │   High   │
│ Slow LCP (>2.5s)     │    🟠    │       47 │  Medium  │
│ No alt text          │    🟡    │      156 │    Low   │
│ Valid schema         │    🟢    │      312 │   Good   │
└──────────────────────┴──────────┴──────────┴──────────┘

Action Plan

🎯 Quick Wins (1-2 weeks):
  ☐ Add missing title tags (23 pages)
  ☐ Optimize images >100KB (89 files)
  ☐ Fix broken internal links (34 links)

⚙️ Medium-Term (1-2 months):
  ☐ Improve LCP on product pages (47 pages)
  ☐ Implement FAQ schema (15 pages)
  ☐ Consolidate thin content (67 pages)

🚀 Strategic (3-6 months):
  ☐ Overhaul internal linking architecture
  ☐ Launch content hub for target keywords
  ☐ Build authoritative backlink profile

Next Steps Suggestion

💡 Recommended Next Commands:
   /content-brief "your-top-keyword" --format detailed
   /competitor-gap example.com competitor.com --focus content
   /link-prospecting "your-niche" --quality-threshold 40

Configuration

Commands can be configured via environment variables:

# API Keys (if using external data sources)
export SEMRUSH_API_KEY="your-key-here"
export AHREFS_API_KEY="your-key-here"
export MOZ_API_KEY="your-key-here"

# Default preferences
export SEO_DEFAULT_LANG="en"
export SEO_OUTPUT_FORMAT="md"
export SEO_DEPTH="medium"

Or via config file (~/.claude/skills/r20-glebis-seo/config.yaml):

defaults:
  language: en
  output_format: md
  depth: medium
  
api_keys:
  semrush: ${SEMRUSH_API_KEY}
  ahrefs: ${AHREFS_API_KEY}
  moz: ${MOZ_API_KEY}

preferences:
  progress_bars: true
  color_output: true
  auto_save: true
  save_path: ./seo-reports/

Common Patterns

Pattern 1: New Site Launch

# Step 1: Pre-launch technical validation
/workflows:launch-seo newsite.com

# Step 2: Keyword research foundation
/keyword-research "main topic" --depth deep --output csv

# Step 3: Content calendar for first 90 days
/content-calendar --months 3 --topics "topic1,topic2,topic3" --output csv

# Step 4: Link building strategy
/link-prospecting "your-niche" --quality-threshold 40 --type all

Pattern 2: Recovering Lost Rankings

# Step 1: Identify affected pages
/serp-monitor keywords.txt --alerts volatility --threshold -5

# Step 2: Analyze what changed in SERPs
/competitor-gap yoursite.com topcompetitor.com --focus content

# Step 3: Refresh content
/workflows:content-refresh --min-age 180 --position-drop 5

# Step 4: Boost internal linking
/content-audit --scope urls:affected-pages.txt --metrics links

Pattern 3: Scaling Content Production

# Step 1: Keyword clustering
/keyword-research "main topic" --depth deep --output json

# Step 2: Generate briefs for top 20 keywords
/content-brief "keyword" --format detailed --output md

# Step 3: Set up production pipeline
/workflows:ai-content-pipeline keywords.txt --frequency weekly

# Step 4: Track performance
/serp-monitor new-content-keywords.txt --frequency weekly

Pattern 4: Enterprise Technical SEO

# Step 1: Full technical audit
/technical-seo enterprise-site.com --scope full

# Step 2: Content quality baseline
/content-audit --scope full --metrics all --output csv

# Step 3: Prioritize fixes by impact
/workflows:full-seo-sprint enterprise-site.com --scope full

# Step 4: Monitor Core Web Vitals
/page-speed-seo enterprise-site.com --monitor --frequency daily

Troubleshooting

Command Not Found

Issue: /keyword-research returns "unknown command"

Solution:

# Reload the skill in your Claude session
/read ~/.claude/skills/r20-glebis-claude-skills-seo/SKILL.md

# Or reinstall
rm -rf ~/.claude/skills/r20-glebis-claude-skills-seo
cp -r r20-glebis-claude-skills-seo ~/.claude/skills/

API Rate Limits

Issue: "API rate limit exceeded" errors

Solution:

• Use --depth shallow for faster, lighter queries
• Add delays: --rate-limit 1 (1 request per second)
• Use cached data: --cache 24h

Incomplete Crawls

Issue: /content-audit --scope full times out

Solution:

# Use sampling for large sites
/content-audit --scope sample:500 --metrics word-count,readability

# Or split by section
/content-audit --scope urls:blog-urls.txt
/content-audit --scope urls:product-urls.txt

Output Format Issues

Issue: Output is not rendering correctly

Solution:

# Specify explicit format
/keyword-research "topic" --output md

# Check terminal supports UTF-8
export LANG=en_US.UTF-8

# Disable color output if needed
/keyword-research "topic" --no-color

Missing Dependencies

Issue: External data sources not available

Solution:

• Set API keys: export SEMRUSH_API_KEY="your-key"
• Use built-in alternatives: --source internal
• Check config: cat ~/.claude/skills/r20-glebis-seo/config.yaml

Integration with Other Tools

Export to Screaming Frog

/technical-seo example.com --output csv --format screaming-frog

Export to Ahrefs/Semrush

/keyword-research "topic" --output csv --format ahrefs

Google Sheets Integration

/content-calendar --months 3 --topics "list" --output gsheet --share [e-mail]

Slack Notifications

/serp-monitor keywords.txt --alerts volatility --notify slack --webhook ${SLACK_WEBHOOK_URL}

Advanced Usage

Custom Scoring Models

# Define custom opportunity scoring
/keyword-research "topic" --scoring custom --weights volume:0.4,competition:0.3,intent:0.3

Batch Processing

# Process multiple domains
for domain in $(cat domains.txt); do
  /technical-seo $domain --output json > reports/$domain.json
done

Scheduled Audits

# Add to crontab for weekly audits
0 9 * * 1 /usr/local/bin/claude-code "/technical-seo example.com --output email --to [e-mail]"

Resources

• Source Project: glebis/claude-skills
• This Adaptation: r20-glebis-claude-skills-seo
• License: MIT
• Issues: Report bugs via GitHub Issues
• Contributions: PRs welcome for new commands and workflow improvements

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Note: This skill suite requires Claude Code or compatible AI coding agent. Commands are executed within the agent's context and may require internet access for external data sources.