seo-expert

Automate technical SEO audits and generate JSON-LD schema metadata plans.

1|1|Updated Mar 9, 2026
One-click install
npx skills add https://github.com/puripong1st/web-fahsiam --skill seo-expert-puripong1st
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: seo-expert
Source: https://github.com/puripong1st/web-fahsiam/tree/main/.agent/skills/Seo
Command: npx skills add https://github.com/puripong1st/web-fahsiam --skill seo-expert-puripong1st

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires bs4, and includes scripts (resource) and references (resource) components.

What problem does it solve?

SEO teams often struggle with consolidating technical audits, semantic analysis, and schema deployment into a reproducible workflow. This skill provides an automated, end-to-end approach to audit, analyze, and enrich metadata for better search visibility and content authority.

Core Features & Use Cases

  • Automated Technical Audit: analyzes meta tags, headings, images, and canonical signals across sites and pages.
  • Semantic Core & Topic Authority: builds entity-based keyword strategy and content clusters with structured data and JSON-LD.
  • Advanced Schema Factory: generates JSON-LD for Product, FAQ, Organization, LocalBusiness to improve rich results and search experience.
  • Use Case: run automated audits on multiple pages and output a ready-to-implement metadata plan with schema blocks.

Quick Start

Provide the AI with the target website or URL and run the SEO expert skill to perform an automated audit and generate a JSON-LD schema-ready metadata plan.

Frequently Asked Questions about seo-expert

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

FAQPage Schema
How do I automate technical SEO audits for multiple pages?

Automate technical SEO audits by providing the target URLs to analyze meta tags, headings, images, and canonical signals across pages. This process generates a ready-to-implement metadata plan that identifies technical errors and improves search visibility.

How does semantic SEO and entity mapping improve content strategy?

Semantic SEO improves content strategy by building entity-based keyword clusters and mapping topics to establish authority. This approach structures your content around core topics and semantic relationships, enhancing search engine understanding and topical relevance.

What is the best way to generate JSON-LD schema for rich results?

Generate JSON-LD schema using an automated schema factory to create structured data blocks for Product, FAQ, Organization, and LocalBusiness. This deployment method directly enhances search experience and qualifies your pages for advanced rich results.

Do I need Python or bs4 to run schema deployment workflows?

You need a Python environment with the bs4 dependency installed to run these schema deployment workflows. This setup processes HTML parsing required for analyzing existing metadata and executing the automated technical audit scripts.

Can I build pillar-cluster content plans with automated metadata tools?

Automated metadata tools support pillar-cluster content planning by mapping semantic cores and generating structured data. This workflow aligns your content clusters with schema deployment to systematically build topical authority and search precision.

Why does my SEO audit not working when analyzing canonical signals?

SEO audits analyzing canonical signals require valid HTML parsing through bs4 and accurate URL inputs. Limitations occur when pages block scraping or lack proper canonical tags, preventing the workflow from extracting the necessary metadata for the audit.