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homeworkclubco
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seo

Audit websites, blog posts, and GitHub repositories for SEO issues.

Updated May 18, 2026
Search Tags:#schema#audit#content-optimization#seo#web-performance#technical-seo#github-seo
One-click install
npx skills add https://github.com/homeworkclubco/artlogicspecialist-v2 --skill seo-homeworkclubco
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: seo
Source: https://github.com/homeworkclubco/artlogicspecialist-v2/tree/main/.cursor/skills/seo
Command: npx skills add https://github.com/homeworkclubco/artlogicspecialist-v2 --skill seo-homeworkclubco

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, beautifulsoup4, playwright, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill solves the ambiguity and lack of evidence in standard SEO advice by providing a deterministic, script-backed analysis framework that bridges the gap between LLM reasoning and technical site performance.

Core Features & Use Cases

  • Evidence-Based Auditing: Combines LLM-first reasoning with 89 specialized scripts to verify technical SEO, Core Web Vitals, and schema health.
  • Specialized Workflows: Offers 16 sub-skills ranging from GitHub repository optimization to programmatic SEO safeguards and E-E-A-T content analysis.
  • Use Case: When a user asks to analyze a website, the skill automatically runs technical checks, validates schema, and generates a prioritized action plan with confidence-labeled findings.

Quick Start

Run the seo audit command followed by the target website URL to generate a comprehensive technical report and prioritized action plan.

Frequently Asked Questions about seo

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

FAQPage Schema
How do I run a technical SEO audit to check schema validity and web performance?▼

Execute a technical SEO audit by passing a target website URL, which triggers scripts to collect evidence on schema validity, Core Web Vitals, and content quality. The process outputs a prioritized, confidence-labeled action plan to improve search engine discoverability and ranking.

What is LLM-first SEO auditing and how does it differ from standard approaches?▼

An LLM-first SEO audit combines LLM reasoning with deterministic, script-backed analysis to verify technical performance, schema health, and content quality. This evidence-based approach eliminates ambiguity by validating findings through specialized scripts rather than relying on generic advice.

Can I optimize SEO for GitHub repositories using this auditing approach?▼

Yes, you can optimize SEO for GitHub repositories using specialized sub-skills within the audit framework. These workflows evaluate repository metadata and structure to generate actionable improvements for search engine discoverability of your code repositories.

Does the SEO audit require Playwright and Beautiful Soup to analyze websites?▼

The SEO audit uses Playwright and Beautiful Soup dependencies to fetch and parse website content for technical performance and content quality checks. These components enable scripts to collect deterministic evidence on schema validity and web performance metrics.

How do I improve E-E-A-T content quality for better search ranking?▼

Improve E-E-A-T content quality by running the content analysis sub-skills within the SEO audit framework. These scripts evaluate blog posts and website content, generating prioritized action plans with confidence-labeled findings to enhance search engine ranking.

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