seo-backlinks

Analyze backlink profiles and detect toxic links from SEO data sources.

Updated May 23, 2026
One-click install
npx skills add https://github.com/lugondev/claude-seo --skill seo-backlinks-lugondev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: seo-backlinks
Source: https://github.com/lugondev/claude-seo/tree/main/skills/seo-backlinks
Command: npx skills add https://github.com/lugondev/claude-seo --skill seo-backlinks-lugondev

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

seo-backlinks helps you understand where your backlink profile comes from, which links are potentially harmful, and what to do next to earn better links through targeted outreach and campaigns.

Core Features & Use Cases

  • Backlink profile audit (multi-source): analyze referring domains, follow ratio, anchor distribution, top linked pages, and link quality using available data sources (DataForSEO, Moz, Bing Webmaster, Common Crawl, and verification crawling).
  • Toxic link detection and disavow guidance: identify risky patterns (PBN indicators, spammy anchors, link farms, deindexed/penalized domains, mass directory patterns) and recommend next steps.
  • Competitor link gap analysis: find domains that link to competitors but not you, then prioritize opportunities.
  • Active link building frameworks: run campaign-ready playbooks for guest posts, resource page placement, broken-link replacement, digital PR, and directory submissions.

Quick Start

Use seo-backlinks to generate a complete backlink profile analysis for your site by asking: "Run /seo backlinks https://example.com".

Frequently Asked Questions about seo-backlinks

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run a backlink profile audit for my website?

Run a backlink profile audit by analyzing referring domains, follow ratio, and anchor distribution. The system collects referring-domain data from sources like DataForSEO, Moz API, and Bing Webmaster to produce an actionable overview of your site's link quality.

How do I find competitor link gaps and prioritize outreach targets?

Find competitor link gaps by analyzing domains that link to competitors but not to your site. The system identifies these missing referring domains and prioritizes link-building opportunities based on available link-quality signals.

What is the best way to detect toxic links and generate a disavow list?

Detect toxic links by assessing risky patterns like PBN indicators, spammy anchors, and mass directory submissions. The system evaluates these deindexed or penalized domain patterns and recommends next steps for disavow guidance.

Can I use DataForSEO and Moz API together for link building analysis?

Yes, you can use DataForSEO and Moz API together. The system integrates multi-source data from these platforms alongside Bing Webmaster and Common Crawl to enforce source-availability constraints for accurate scoring and reporting.

What active link building frameworks can I run for digital PR and directory submissions?

Run campaign-ready playbooks for guest posts, resource page placement, broken-link replacement, digital PR, and directory submissions. The system provides active link building frameworks to earn high-quality citations through targeted outreach.

Why does my backlink audit require source-availability constraints for scoring?

Backlink audits require source-availability constraints because scoring and reporting depend on verifying data from connected sources like DataForSEO, Moz API, and Common Crawl. This ensures link-quality signals and toxicity assessments are accurate.