Andrew Yim
6ac547e78f
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Adopt: directory keeps its NN- ordering prefix; skill `name:` is the clean form without it (dir 16-seo-schema-validator → name: seo-schema-validator). Nicer to invoke, matches the original desktop/SKILL.md names, still globally unique. - 71 root SKILL.md: name: NN-foo → name: foo (flat skills + reference-curator suite). Plugins (mac-optimizer/multi-agent-guide/dintel-bootstrap) already clean; 95 already clean. - scripts/migrate_skill_root.py: derive name = dirname minus NN- prefix (skill_name()). - CLAUDE.md + SKILL-MIGRATION-GUIDE.md: document the dir-prefix / clean-name convention. verify_skills.py: 0 name collisions across all renamed skills. (The ~/.claude/skills symlinks were re-pointed to the clean names separately — filesystem only.) Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
148 lines
6.2 KiB
Markdown
148 lines
6.2 KiB
Markdown
---
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name: seo-link-building
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description: |
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Link building diagnosis and backlink analysis tool.
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Triggers: backlink audit, link building, referring domains, toxic links, link gap, broken backlinks, 백링크 분석, 링크빌딩.
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---
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# SEO Link Building Diagnosis
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## Purpose
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Analyze backlink profiles, detect toxic links, find competitor link gaps, track link velocity, and map Korean platform links. Provides actionable link building recommendations.
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## Core Capabilities
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1. **Backlink Profile Audit** - DR, referring domains, dofollow ratio, anchor distribution
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2. **Toxic Link Detection** - PBN patterns, spam domains, link farm identification
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3. **Competitor Link Gap Analysis** - Domains linking to competitors but not target
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4. **Link Velocity Tracking** - New/lost referring domains over time
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5. **Broken Backlink Recovery** - Find and reclaim broken high-DR backlinks
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6. **Korean Platform Mapping** - Naver Blog, Cafe, Tistory, Brunch, Korean news
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## Data Source Selection
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This skill can pull backlink data from multiple backends. **Pick one per task** — don't fan out by default (cost + rate limits). Backlink graphs are the most cost-sensitive of all SEO data.
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| Backend | Best for | Notes |
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|---|---|---|
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| **Ahrefs MCP** (`mcp__ahrefs__*`) | **Default** — Ahrefs' backlink graph remains the strongest in the industry. All `site-explorer-*` endpoints. | Primary capability: `site-explorer-domain-rating`, `-backlinks-stats`, `-referring-domains`, `-anchors`, `-broken-backlinks`, `-refdomains-history`. |
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| **Semrush MCP** (`mcp__semrush__*`) | Alternative when user is already in Semrush context or wants a second opinion | `backlink_research` covers similar ground; Authority Score replaces DR. Coverage is competitive but not identical to Ahrefs. |
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| **OurSEO** | **Not a backlink source.** No backlink graph in the OurSEO stack. | If asked, use OurSEO MCP / CLI only as a supplement for on-page link inventory (`crawl_website` extracts internal/outbound links from the target site itself). |
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| **WebSearch / WebFetch** | Manual spot-check of a specific referring URL | Useful for verifying anchor / context of a high-value referring page. |
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### How to pick
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1. **User named a backend explicitly** → use it.
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2. **User preference memory** — read `feedback_seo_tool_preferences.md`; honor the task-type default.
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3. **Task is comparison across vendors** (e.g., "verify Ahrefs claims with Semrush") → run both, document the source per metric.
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4. **Default**: **Ahrefs MCP** — backlink work is the one SEO task where Ahrefs is the default, not Semrush.
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5. **Still ambiguous + non-trivial** → ask once via `AskUserQuestion`.
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### Backend call patterns
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**Ahrefs MCP (default):**
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```
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mcp__ahrefs__site-explorer-domain-rating(target="<domain>")
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mcp__ahrefs__site-explorer-backlinks-stats(target="<domain>")
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mcp__ahrefs__site-explorer-referring-domains(target="<domain>", limit=100)
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mcp__ahrefs__site-explorer-anchors(target="<domain>")
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mcp__ahrefs__site-explorer-broken-backlinks(target="<domain>", limit=100)
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mcp__ahrefs__site-explorer-refdomains-history(target="<domain>", history="weekly")
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mcp__ahrefs__site-explorer-all-backlinks(target="<domain>", limit=500)
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mcp__ahrefs__site-explorer-linked-anchors-external(target="<competitor>")
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```
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**Semrush MCP (alternative):**
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```
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mcp__semrush__backlink_research(query="<domain>", database="us")
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mcp__semrush__get_report_schema(report_id="...")
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mcp__semrush__execute_report(report_id="...", params={...})
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```
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**OurSEO (on-page link inventory, supplement only):**
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```
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mcp__ourseo__crawl_website(url="<domain>", max_pages=100)
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# Extract internal/outbound link inventory from crawl output — NOT a backlink graph.
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```
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### Korean platform mapping
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Backlinks from Korean platforms (Naver Blog, Cafe, Tistory, Brunch, Korean news) are often underrepresented in both Ahrefs and Semrush. After pulling from the chosen backend, supplement with `WebSearch` for major Korean directories and brand-name queries on Naver to spot-check coverage gaps.
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Always record the chosen data source in the report **Overview** so future audits can compare like-for-like.
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## Workflow
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### 1. Backlink Profile Audit
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1. Fetch Domain Rating via `site-explorer-domain-rating`
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2. Get backlink stats via `site-explorer-backlinks-stats`
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3. Retrieve referring domains via `site-explorer-referring-domains`
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4. Analyze anchor distribution via `site-explorer-anchors`
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5. Detect toxic links (PBN patterns, spam keywords, suspicious TLDs)
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6. Map Korean platform links from referring domains
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7. Report with issues and recommendations
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### 2. Link Gap Analysis
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1. Fetch target referring domains
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2. Fetch competitor referring domains (parallel)
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3. Compute set difference (competitor - target)
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4. Score opportunities by DR, traffic, category
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5. Categorize sources (news, blog, forum, directory, Korean platform)
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6. Rank by feasibility and impact
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7. Report top opportunities with recommendations
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### 3. Link Velocity Check
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1. Fetch refdomains-history for last 90 days
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2. Calculate new/lost referring domains per period
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3. Determine velocity trend (growing/stable/declining)
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4. Flag declining velocity as issue
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### 4. Broken Backlink Recovery
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1. Fetch broken backlinks via `site-explorer-broken-backlinks`
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2. Sort by DR (highest value first)
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3. Recommend 301 redirects or content recreation
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## Output Format
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```markdown
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## Link Building Audit: [domain]
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### Overview
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- Domain Rating: [DR]
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- Referring Domains: [count]
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- Dofollow Ratio: [ratio]
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- Toxic Links: [count] ([risk level])
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### Anchor Distribution
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| Type | Count | % |
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|------|-------|---|
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| Branded | [n] | [%] |
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| Exact Match | [n] | [%] |
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| Generic | [n] | [%] |
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| Naked URL | [n] | [%] |
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### Toxic Links (Top 10)
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| Domain | Risk Score | Reason |
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|--------|-----------|--------|
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### Korean Platform Links
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| Platform | Count |
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|----------|-------|
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### Link Velocity
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| Period | New | Lost |
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|--------|-----|------|
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### Recommendations
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1. [Priority actions]
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```
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## Notion Output (Required)
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All audit reports MUST be saved to OurDigital SEO Audit Log:
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- **Database ID**: `2c8581e5-8a1e-8035-880b-e38cefc2f3ef`
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- **Properties**: Issue (title), Site (url), Category (Link Building), Priority, Found Date, Audit ID
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- **Language**: Korean with English technical terms
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- **Audit ID Format**: LINK-YYYYMMDD-NNN
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