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harshitcodes1308
harshitcodes1308COMMUNITY
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seo

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

Updated Jul 1, 2026
Search Tags:#performance#github#audit#website#content quality#seo#blog#technical seo#schema markup
One-click install
npx skills add https://github.com/harshitcodes1308/padh.ai --skill seo-harshitcodes1308
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: seo
Source: https://github.com/harshitcodes1308/padh.ai/tree/main/.agents/skills/seo
Command: npx skills add https://github.com/harshitcodes1308/padh.ai --skill seo-harshitcodes1308

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, beautifulsoup4, playwright, pandas, numpy, scikit-learn, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill performs comprehensive SEO audits on websites, blog posts, and GitHub repositories, quickly identifying and prioritizing critical issues for improvement.

Core Features & Use Cases

  • Full SEO Audit: Scans entire websites or specific pages for technical, content, and on-page SEO issues.
  • Technical SEO Checks: Validates website structure, robots.txt, and AI crawler policies.
  • Content Quality Analysis: Reviews content for E-E-A-T, readability, and keyword usage.
  • Schema Markup Validation: Ensures correct implementation and usage of JSON-LD structured data.
  • Use Case: Imagine you're running an e-commerce site. Use this Skill to audit your site's SEO, uncover issues with technical SEO, content gaps, and missing schema markup, and get actionable recommendations for improvement.

Quick Start

Use the SEO skill to perform an audit on the website 'https://example.com'.

Frequently Asked Questions about seo

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

FAQPage Schema
How do I perform a technical SEO audit on my website using Python?▼

Perform a technical SEO audit by running Python scripts that crawl website structure, robots.txt, and AI crawler policies to identify ranking issues. It validates page performance metrics and technical health to improve organic search visibility.

Can I check schema markup and JSON-LD structured data on my blog posts?▼

You can check schema markup and validate JSON-LD structured data on blog posts automatically. The audit parses HTML content to ensure correct structured data implementation, which helps search engines understand your content.

How do I analyze content quality and E-E-A-T signals for SEO?▼

Analyze content quality and E-E-A-T signals by reviewing readability, keyword usage, and content gaps. The audit evaluates blog posts against search engine quality guidelines to uncover actionable improvements for better rankings.

Does this SEO audit tool work with GitHub repositories?▼

Yes, this SEO audit tool works with GitHub repositories to evaluate their visibility and content structure. It crawls repository pages to identify technical SEO issues and missing metadata that affect search engine indexing.

What Python libraries are required to run automated website SEO checks?▼

Running automated website SEO checks requires Python libraries including requests, beautifulsoup4, playwright, pandas, numpy, and scikit-learn. These dependencies handle web crawling, HTML parsing, and data analysis for generating audit reports.

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