Backlink Profile Analysis

by AgriciDaniel

Backlink Profile Analysis is an SEO skill for Claude Code, published by AgriciDaniel in claude-seo.

14.1K stars2.1K forkson AgriciDaniel/claude-seoAdded 2026/08/14+1% in starsRepository updated 2026/07/27

View source on GitHub Download repo ZIP

aiai-seoclaude-codeclaude-code-skillmarketing-automationopen-sourceseo

Install in seconds

Install Backlink Profile Analysis

Copy Backlink Profile Analysis into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/AgriciDaniel/claude-seo/tree/main/skills/seo-backlinks ~/.claude/skills/seo-backlinks

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/AgriciDaniel/claude-seo.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/seo-backlinks/SKILL.md in AgriciDaniel/claude-seo
Installs to: ~/.claude/skills/seo-backlinks
Collection: One of 25 skills cataloged from this repository
Category: SEO — 164 skills

What Backlink Profile Analysis does

Backlink Profile Analysis audits a domain's backlink profile, including referring domains, anchor text distribution, toxic links, and competitor gaps. Use it when someone asks for backlink analysis, link building, disavow recommendations, or backlink audits.

Backlink Profile Analysis is cataloged under SEO on DirSkills. Backlink Profile Analysis comes from a repository tagged ai, ai-seo, claude-code, claude-code-skill and marketing-automation.

Documentation

README

Excerpt

Backlink Profile Analysis

Source Detection

Before analysis, detect available data sources:

DataForSEO MCP (premium): Check if dataforseo_backlinks_summary tool is available
Moz API (free signup): claude-seo run backlinks_auth.py --check moz --json
Bing Webmaster (free signup): claude-seo run backlinks_auth.py --check bing --json
Common Crawl (always available): Domain-level graph with PageRank
Verification Crawler (always available): Checks if known backlinks still exist

Run claude-seo run backlinks_auth.py --check --json to detect all sources at once.

This is the opening of the README. Read the full README on GitHub.

Commands Backlink Profile Analysis provides

Slash commands named in this skill’s SKILL.md, listed in the order they first appear.

/seo

Frequently asked about Backlink Profile Analysis

What else does AgriciDaniel publish alongside Backlink Profile Analysis?
Backlink Profile Analysis is one of 25 skills that DirSkills catalogs from AgriciDaniel/claude-seo, the repository it ships in. Its siblings there include DataForSEO Live SEO, E-commerce SEO Analysis and Google SEO APIs. Each one is a separate skill with its own page in this directory, installs the same way Backlink Profile Analysis does, and is maintained by AgriciDaniel in that same repository. The rest of the collection is listed on the AgriciDaniel/claude-seo page.
How does Backlink Profile Analysis compare to other SEO skills?
Backlink Profile Analysis ranks #3 by stars among the 164 SEO skills in this catalog. The most-starred ones next to it are App Store Optimization, Answer Engine Optimization and SEO Analysis. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Backlink Profile Analysis against them. Open each page to compare what they document and how they install.