Seo
Audit, plan, and implement SEO improvements across technical SEO, on-page optimization, structured data, Core Web Vitals, and content strategy. Use when the user wants better search visibility, SEO remediation, schema markup, sitemap/robots work, or keyword mapping.From its SKILL.md
npx -y skills add mturac/everything-openai-codex --skill seoAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
SKILL.md
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SEO
Improve search visibility through technical correctness, performance, and content relevance, not gimmicks.
When to Use
Use this skill when:
- auditing crawlability, indexability, canonicals, or redirects
- improving title tags, meta descriptions, and heading structure
- adding or validating structured data
- improving Core Web Vitals
- doing keyword research and mapping keywords to URLs
- planning internal linking or sitemap / robots changes
How It Works
Principles
- Fix technical blockers before content optimization.
- One page should have one clear primary search intent.
- Prefer long-term quality signals over manipulative patterns.
- Mobile-first assumptions matter because indexing is mobile-first.
- Recommendations should be page-specific and implementable.
Technical SEO checklist
Crawlability
robots.txtshould allow important pages and block low-value surfaces- no important page should be unintentionally
noindex - important pages should be reachable within a shallow click depth
- avoid redirect chains longer than two hops
- canonical tags should be self-consistent and non-looping
Indexability
- preferred URL format should be consistent
- multilingual pages need correct hreflang if used
- sitemaps should reflect the intended public surface
- no duplicate URLs should compete without canonical control
Performance
- LCP < 2.5s
- INP < 200ms
- CLS < 0.1
- common fixes: preload hero assets, reduce render-blocking work, reserve layout space, trim heavy JS
Structured data
- homepage: organization or business schema where appropriate
- editorial pages:
Article/BlogPosting - product pages:
ProductandOffer - interior pages:
BreadcrumbList - Q&A sections:
FAQPageonly when the content truly matches
On-page rules
Title tags
- aim for roughly 50-60 characters
- put the primary keyword or concept near the front
- make the title legible to humans, not stuffed for bots
Meta descriptions
- aim for roughly 120-160 characters
- describe the page honestly
- include the main topic naturally
Heading structure
- one clear
H1 H2andH3should reflect actual content hierarchy- do not skip structure just for visual styling
Keyword mapping
- define the search intent
- gather realistic keyword variants
- prioritize by intent match, likely value, and competition
- map one primary keyword/theme to one URL
- detect and avoid cannibalization
Internal linking
- link from strong pages to pages you want to rank
- use descriptive anchor text
- avoid generic anchors when a more specific one is possible
- backfill links from new pages to relevant existing ones
Examples
Title formula
Primary Topic - Specific Modifier | Brand
Meta description formula
Action + topic + value proposition + one supporting detail
JSON-LD example
{
"@context": "https://schema.org",
"@type": "Article",
"headline": "Page Title Here",
"author": {
"@type": "Person",
"name": "Author Name"
},
"publisher": {
"@type": "Organization",
"name": "Brand Name"
}
}
Audit output shape
[HIGH] Duplicate title tags on product pages
Location: src/routes/products/[slug].tsx
Issue: Dynamic titles collapse to the same default string, which weakens relevance and creates duplicate signals.
Fix: Generate a unique title per product using the product name and primary category.
Anti-Patterns
| Anti-pattern | Fix |
|---|---|
| keyword stuffing | write for users first |
| thin near-duplicate pages | consolidate or differentiate them |
| schema for content that is not actually present | match schema to reality |
| content advice without checking the actual page | read the real page first |
| generic “improve SEO” outputs | tie every recommendation to a page or asset |
Related Skills
seo-specialistfrontend-patternsbrand-voicemarket-research
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.
Gives 0 of the 12 instructions most marketing audience skills give in 894 tokens
Counted across 690 of the 894 authors here whose files we hold, read 2026-08-07
- Apply Poppins font to headingsin 41 of 690, across 6 files
- Apply Lora font to body textin 41 of 690, across 6 files
- Use Arial fallback for headingsin 39 of 690, across 4 files
- Use Georgia fallback for body textin 39 of 690, across 4 files
- Maintain text hierarchy and formattingin 39 of 690, across 4 files
- Use accent colors for non-text shapesin 38 of 690, across 3 files
- Use RGB values for precise color matchingin 38 of 690, across 3 files
- Use brand colors for primary text and backgroundsin 36 of 690, across 1 file
- Read product marketing context file before asking questions, starting, or auditingin 35 of 690, across 23 files
- Use active voice instead of passive voicein 26 of 690, across 10 files
- Implement or generate appropriate JSON-LD structured datain 24 of 690, across 17 files
- Prioritize clarity over clevernessin 22 of 690, across 8 files
Said here and by no other author read
- keep important pages within shallow click depth
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.