seo-backlinks

Analyze backlink profiles for referring domains, anchor patterns, and toxic-link risks.

Updated Dec 29, 2025
One-click install
npx skills add https://github.com/Flexksx/alemar-capoeira-chisinau --skill seo-backlinks-flexksx
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: seo-backlinks
Source: https://github.com/Flexksx/alemar-capoeira-chisinau/tree/main/.claude/skills/seo-backlinks
Command: npx skills add https://github.com/Flexksx/alemar-capoeira-chisinau --skill seo-backlinks-flexksx

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Backlink audits are hard because you need reliable insight into who links to a site, which anchors those links use, and which links might be harming rankings, plus a clear view of gaps versus competitors.

Core Features & Use Cases

  • Referring domain and link profile overview: Evaluates total backlinks, referring domains, follow/nofollow patterns, and domain-level signals to quantify backlink strength and stability.
  • Anchor text distribution and over-optimization risk: Detects suspicious anchor patterns (e.g., exact-match overuse) and summarizes distribution health for SEO risk management.
  • Toxic link detection and disavow guidance: Flags high-risk link patterns (spam indicators, PBN-like signals, link-farm behavior) and recommends verification and remediation steps.
  • Competitor gap and opportunities: Compares targets vs competitors to identify domains that link to competitors but not the target, prioritizing link-building prospects.
  • Uses cases: Pre-campaign backlink planning, post-SEO audit cleanup, and ongoing link-risk monitoring for domains or specific URLs.

Quick Start

Ask the AI to run a full backlink audit on https://example.com and return the referring domain quality, anchor distribution risks, toxic-link findings, and the top link-building opportunities.

Frequently Asked Questions about seo-backlinks

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

FAQPage Schema
How do I audit my backlink profile to identify toxic links and over-optimized anchor text?

A backlink audit analyzes your website's referring domains, anchor text patterns, and toxic-link risks to detect spam indicators, summarize distribution health, and recommend disavow prioritization and remediation steps.

What is a link gap analysis and how does it compare my backlinks to competitors?

Link gap analysis compares your target website versus competitors to identify referring domains that link to competitors but not your target site, prioritizing actionable link-building prospects for your SEO strategy.

How do I create a disavow file for toxic links found during an SEO analysis?

Toxic link detection flags high-risk link patterns like spam indicators, PBN-like signals, and link-farm behavior, then recommends verification crawling and provides disavow prioritization steps to clean up your backlink profile.

Do I need external backlink data from Moz or DataForSEO to perform a backlink audit?

Yes, performing a backlink audit requires multi-source backlink data from providers like DataForSEO, Moz, Bing, or Common Crawl, plus verification crawling to analyze referring domains, anchor patterns, and toxicity risks.

What's the best way to find link-building opportunities through competitor research?

Competitor research identifies domains linking to competitors but not your target site, prioritizing link-building prospects by evaluating referring domain quality, follow/nofollow patterns, and domain-level signals across your SEO workflow.

Can I check anchor text distribution for over-optimization risk on a specific URL?

Yes, anchor text distribution analysis detects suspicious anchor patterns such as exact-match overuse and summarizes distribution health for specific URLs or domains to manage SEO over-optimization risk.