gsc-skills

内容来源：README.md（说明文档） · 原始地址 · 查看安装指南

原始内容

# 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 → 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/
└── gsc-analyzer/
    ├── SKILL.md
    ├── scripts/
    │   └── parse_gsc_data.py
    └── references/
        ├── brand_analysis.md
        ├── seo_analysis.md
        ├── content_opportunities.md
        ├── paid_search.md
        └── strategic_frameworks.md
```

## License

MIT

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

npx skills add coreyrab/gsc-skills

Or clone manually:

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 → 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/
└── gsc-analyzer/
    ├── SKILL.md
    ├── scripts/
    │   └── parse_gsc_data.py
    └── references/
        ├── brand_analysis.md
        ├── seo_analysis.md
        ├── content_opportunities.md
        ├── paid_search.md
        └── strategic_frameworks.md

License

MIT