Optimize for search engine visibility and ranking. Use when asked to "improve SEO", "optimize for search", "fix meta tags", "add structured data", "sitemap optimization", or "search engine optimization".
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# SEO optimization
Search engine optimization based on Lighthouse SEO audits and Google Search guidelines. Focus on technical SEO, on-page optimization, and structured data.
## Evidence-led audit workflow
When a rendered page is available:
1. Run live Lighthouse SEO and Agentic Browsing checks when that capability is available; with Chrome DevTools MCP, use `lighthouse_audit`. Use the results to localize rendered-page failures.
2. Inspect signals Lighthouse cannot establish on its own: response headers, redirects, `robots.txt`, sitemap coverage, canonical consistency across page templates, structured-data eligibility, and Search Console evidence when the user provides access.
3. Separate technical crawl/index findings from content quality and authority. Do not invent ranking-factor weights or promise ranking changes.
4. Fix the source and re-run the same checks. For indexation or ranking outcomes, report that search-engine validation remains pending.
If live tools are unavailable, use category-specific Lighthouse CLI output plus direct source and HTTP inspection. A Lighthouse SEO score covers a useful subset of technical checks; it is not a prediction of rankings.
…
The line at the top of this page pins the label v2.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
A 17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
pass: Frontmatter block present
pass: Frontmatter declares a name
pass: Frontmatter declares a description
pass: Size between 200 bytes and 200 KB (14040 bytes)
pass: No zero-width or bidi control characters
pass: No instruction hidden inside an HTML comment
pass: No link to an exfiltration or paste host
pass: No credential-shaped string
pass: No instruction to send local credentials anywhere
pass: No text hidden with inline styles
pass: No prompt-injection phrasing
pass: No curl or wget piped into a shell
pass: No recursive delete of root, home or parent
pass: No instruction to read or print local credentials
pass: No base64 blob over 200 characters
pass: No link to a raw IP address
pass: No script tag
Source
GitHub
miladjoodi/skills · 23 stars · license MIT · pushed 2026-10-13 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_q5acqkrxedulholo
GET https://markdownregistry.com/api/v1/resolve?ref=miladjoodi/skills/seo
GET https://markdownregistry.com/api/v1/blob/26c03e9be58b3e34db96fd0bcf31415b03fef5e6c43ab640a2c90218e76e0745
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
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