Generates valid JSON-LD structured data for 10 schema types with rich result eligibility validation and implementation-ready script blocks.
Audit a codebase for SEO and AI-answer visibility, then produce a prioritized fix-it plan.
Use whenever search or AI-search visibility of a real site is at stake: diagnosing indexing, ranking, crawling, or citation problems…
Performs comprehensive technical SEO audits and framework-aware optimizations for Next.js applications.
📈 SEO & Content Marketing skill suite derived from alirezarezvani/claude-skills.
Install the active skill from the bundle: Full 20 → 16 mapping: see the repo README.
Apply safe SEO remediations from the latest /seo-audit report.
Use when deciding WHERE to point SEO effort, not how to write a page.
Create a complete SEO landing page (structure, copywriting, title/meta, schema, internal linking) built on REAL data from…
Generate complete SEO setup for local business websites — HTML head tags, JSON-LD LocalBusiness schema, robots.txt, sitemap.xml.
Meta tag patterns, structured data (JSON-LD), Core Web Vitals optimization, and SSR/SSG strategies for search visibility.
Runs the one-time seo-skills interview and writes the site profile to .seo/profile.md or ~/.seo-skills/profile.md, researching the live…
Run a gated SEO article pipeline before publishing: pick a keyword from the domain's tracked-keyword queue (served live by the vdr…
Formats content to be eligible for featured snippets and SERP features.
Use this skill when the user needs to plan SEO content, do keyword research, build a content calendar, map search intent to page types, or…
Analyzes and optimizes content structure including header hierarchy, suggests schema markup, and internal linking opportunities.
Diagnose why a page is not ranking by reading the SERP backwards.
Implements, verifies, and audits technical and on-page SEO tasks.
Integration with major SEO platforms and tools
Use when planning or drafting search-optimized content that balances keyword intent with GTM messaging.
GEO citability (130–170 word passages), question headings, llms.txt, and AI crawler robots.