technical-seo-audit

technical-seo-audit is a Technical SEO & schema skill for AI agents, published by Suganthan-Mohanadasan in the tech-seo-audit-skill repository on GitHub. Skillspace rates technical-seo-audit C (70/100) and it passed the safety scan; the rating is based on static analysis only.

Comprehensive technical SEO audit skill that analyses crawl data to identify issues, prioritise actions by business impact, and produce a detailed report plus actionable spreadsheet. Use this skill whenever the user wants to: run a technical SEO audit, analyse a website's technical health, review crawl data from Screaming Frog or Sitebulb, crawl a site via API (Firecrawl or similar), find indexability or crawlability issues, check Core Web Vitals, audit structured data or schema markup, detect cannibalisation or thin content, review redirect chains, find orphan pages, assess site architecture, or produce a prioritised list of SEO fixes. Also trigger when the user uploads a CSV from any crawl tool and asks for analysis, mentions "technical SEO", "site audit", "crawl audit", "SEO health check", or wants to understand why pages are not ranking from a technical perspective. This skill handles everything from data ingestion through to a business-impact-prioritised action plan.

Grade

C

Quality

70 / 100

Safety

Passed

GitHub stars

60

Unproven: rated by static analysis only, not yet compared head-to-head.

Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it is a near-duplicate variant of another skill. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

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