Files

Andrew Yim a3ff965b87 Add SEO skills 19-28, 31-32 with full Python implementations

12 new skills: Keyword Strategy, SERP Analysis, Position Tracking,
Link Building, Content Strategy, E-Commerce SEO, KPI Framework,
International SEO, AI Visibility, Knowledge Graph, Competitor Intel,
and Crawl Budget. ~20K lines of Python across 25 domain scripts.
Updated skill 11 pipeline table and repo CLAUDE.md.
Enhanced skill 18 local SEO workflow from jamie.clinic audit.

Note: Skill 26 hreflang_validator.py pending (content filter block).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

2026-02-13 12:05:59 +09:00

3.9 KiB

Raw Blame History

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

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

MCP Tool Usage

Ahrefs for Backlink Data

mcp__ahrefs__site-explorer-all-backlinks: Get all backlinks for a target
mcp__ahrefs__site-explorer-backlinks-stats: Backlink statistics overview
mcp__ahrefs__site-explorer-referring-domains: List referring domains
mcp__ahrefs__site-explorer-anchors: Anchor text distribution
mcp__ahrefs__site-explorer-broken-backlinks: Find broken backlinks
mcp__ahrefs__site-explorer-domain-rating: Get Domain Rating
mcp__ahrefs__site-explorer-domain-rating-history: DR trend over time
mcp__ahrefs__site-explorer-refdomains-history: Referring domains trend
mcp__ahrefs__site-explorer-linked-domains: Domains linked from target

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

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

2. Link Gap Analysis

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

3. Link Velocity Check

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

4. Broken Backlink Recovery

Fetch broken backlinks via site-explorer-broken-backlinks
Sort by DR (highest value first)
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

3.9 KiB Raw Blame History