gsc-analyzer
π―Skillfrom coreyrab/gsc-skills
Analyzes Google Search Console exports to uncover SEO opportunities, identify content gaps, classify brand vs. non-brand traffic, and estimate potential revenue impact.
Installation
npx skills add https://github.com/coreyrab/gsc-skills --skill gsc-analyzerSkill Details
Overview
# Google Search Console Skills for Claude Code
Analyze GSC exports to find SEO opportunities, content gaps, and paid search targets.
What's Included
gsc-analyzer - Analyzes GSC exports to identify SEO opportunities, content gaps, and paid search targets. Classifies brand vs. non-brand traffic and estimates revenue impact.
Installation
```bash
npx skills add coreyrab/gsc-skills
```
Or clone manually:
```bash
git clone https://github.com/coreyrab/gsc-skills.git
cp -r gsc-skills/skills/* ~/.agents/skills/
```
Usage
Export your data from Google Search Console (Performance β Export), then:
```
"Analyze this GSC export"
"What keywords should we focus on?"
"How much traffic are we missing out on?"
```
The skill will ask you to confirm brand terms before running analysis.
Analysis Modes
| Mode | What it does |
|------|--------------|
| Brand vs. Non-Brand | Traffic composition, brand dependency score, trend analysis |
| SEO Analyst | Quick wins (position 4-10), striking distance keywords, CTR issues |
| Content Strategist | Topic gaps, question-based content, comparison opportunities |
| Paid Search | High-intent keywords, SERP domination targets, budget allocation |
| Strategic Summary | Key metrics, risks, opportunities with revenue estimates |
Supported Formats
- GSC zip exports
- Individual CSV files (Queries.csv, Pages.csv, etc.)
- Folders containing GSC exports
File Structure
```
skills/
βββ gsc-analyzer/
βββ SKILL.md
βββ scripts/
β βββ parse_gsc_data.py
βββ references/
βββ brand_analysis.md
βββ seo_analysis.md
βββ content_opportunities.md
βββ paid_search.md
βββ strategic_frameworks.md
```
License
MIT