One-click install
npx skills add https://github.com/Suganthan-Mohanadasan/tech-seo-audit-skill --skill technical-seo-audit
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: technical-seo-audit
Source: https://github.com/Suganthan-Mohanadasan/tech-seo-audit-skill/tree/main
Command: npx skills add https://github.com/Suganthan-Mohanadasan/tech-seo-audit-skill --skill technical-seo-audit

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

An actionable, business-impact prioritised technical SEO audit that turns crawl data into a clear action plan.

Core Features & Use Cases

  • Auto-detects crawl tool type (Screaming Frog, Sitebulb, Ahrefs) and normalises to a single internal schema.
  • Merges data from multiple sources with a freshness-first strategy and backfill of missing fields.
  • Scores issues on SEO Impact, Business Impact, and Fix Effort to produce a priority-driven action list.
  • Outputs both a Markdown report and an XLSX spreadsheet tailored to platform context.

Quick Start

Upload your crawl data or start an API crawl and receive a Markdown report plus an actionable XLSX spreadsheet.

Frequently Asked Questions about technical-seo-audit

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

FAQPage Schema
How do I turn Screaming Frog crawl data into a prioritized technical SEO audit?

You can merge crawl data from multiple sources like Screaming Frog, Sitebulb, and Ahrefs using a freshness-first strategy that backfills missing fields, normalizes the data to a single internal schema, and scores issues for a unified technical SEO audit.

Can I merge crawl data from Sitebulb and Ahrefs into a single SEO report?

You can merge crawl data from multiple sources like Screaming Frog, Sitebulb, and Ahrefs using a freshness-first strategy that backfills missing fields, normalizes the data to a single internal schema, and scores issues for a unified technical SEO audit.

What is the best way to score technical SEO issues by business impact?

A technical SEO audit outputs both a Markdown report for quick reading and an XLSX spreadsheet containing actionable, platform-tailored recommendations based on the normalized crawl data and impact scores.

Does this technical SEO audit output Markdown and XLSX reports?

A technical SEO audit outputs both a Markdown report for quick reading and an XLSX spreadsheet containing actionable, platform-tailored recommendations based on the normalized crawl data and impact scores.

Do I need pandas installed to run a crawl data analysis for SEO audits?

You need pandas installed as a required dependency to run crawl data analysis, because the Skill uses this library to process, normalize, and merge multi-source SEO crawl data into the internal schema for scoring.