our-claude-skills/custom-skills/22-seo-link-building/desktop/SKILL.md

name, description

name	description
seo-link-building	Link building diagnosis and backlink analysis tool. Triggers: backlink audit, link building, referring domains, toxic links, link gap, broken backlinks, 백링크 분석, 링크빌딩.

SEO Link Building Diagnosis

Purpose

Analyze backlink profiles, detect toxic links, find competitor link gaps, track link velocity, and map Korean platform links. Provides actionable link building recommendations.

Core Capabilities

1. Backlink Profile Audit - DR, referring domains, dofollow ratio, anchor distribution
2. Toxic Link Detection - PBN patterns, spam domains, link farm identification
3. Competitor Link Gap Analysis - Domains linking to competitors but not target
4. Link Velocity Tracking - New/lost referring domains over time
5. Broken Backlink Recovery - Find and reclaim broken high-DR backlinks
6. Korean Platform Mapping - Naver Blog, Cafe, Tistory, Brunch, Korean news

MCP Tool Usage

SEO Data

our-seo-agent CLI: Primary backlink data source (future); use --input for pre-fetched JSON
WebSearch / WebFetch: Supplementary backlink data

Notion for Report Storage

mcp__notion__notion-create-pages: Save audit report to SEO Audit Log
mcp__notion__notion-update-page: Update existing audit entries

Workflow

1. Backlink Profile Audit

1. Fetch Domain Rating via site-explorer-domain-rating
2. Get backlink stats via site-explorer-backlinks-stats
3. Retrieve referring domains via site-explorer-referring-domains
4. Analyze anchor distribution via site-explorer-anchors
5. Detect toxic links (PBN patterns, spam keywords, suspicious TLDs)
6. Map Korean platform links from referring domains
7. Report with issues and recommendations

2. Link Gap Analysis

1. Fetch target referring domains
2. Fetch competitor referring domains (parallel)
3. Compute set difference (competitor - target)
4. Score opportunities by DR, traffic, category
5. Categorize sources (news, blog, forum, directory, Korean platform)
6. Rank by feasibility and impact
7. Report top opportunities with recommendations

3. Link Velocity Check

1. Fetch refdomains-history for last 90 days
2. Calculate new/lost referring domains per period
3. Determine velocity trend (growing/stable/declining)
4. Flag declining velocity as issue

4. Broken Backlink Recovery

1. Fetch broken backlinks via site-explorer-broken-backlinks
2. Sort by DR (highest value first)
3. Recommend 301 redirects or content recreation

Output Format

## Link Building Audit: [domain]

### Overview
- Domain Rating: [DR]
- Referring Domains: [count]
- Dofollow Ratio: [ratio]
- Toxic Links: [count] ([risk level])

### Anchor Distribution
| Type | Count | % |
|------|-------|---|
| Branded | [n] | [%] |
| Exact Match | [n] | [%] |
| Generic | [n] | [%] |
| Naked URL | [n] | [%] |

### Toxic Links (Top 10)
| Domain | Risk Score | Reason |
|--------|-----------|--------|

### Korean Platform Links
| Platform | Count |
|----------|-------|

### Link Velocity
| Period | New | Lost |
|--------|-----|------|

### Recommendations
1. [Priority actions]

Notion Output (Required)

All audit reports MUST be saved to OurDigital SEO Audit Log:

• Database ID: 2c8581e5-8a1e-8035-880b-e38cefc2f3ef
• Properties: Issue (title), Site (url), Category (Link Building), Priority, Found Date, Audit ID
• Language: Korean with English technical terms
• Audit ID Format: LINK-YYYYMMDD-NNN