cyberneticlibrary

Run comprehensive SEO analysis and optimization

SKILLskillsetup L3533
Bhanunamikaze/Agentic-SEO-Skill
What it does

Run LLM-first SEO analysis with 16 sub-skills and 89 optimization scripts

Best for

Comprehensive SEO baseline audit for new client sites or pre-launch validation when you want both LLM insights and script-backed evidence in one output.

Inputs
  • · Target URL (single page or full website)
  • · SEO audit type (full audit, single-page, technical, content, schema, sitemap, images, geo, etc.)
  • · Optional: competitor URL(s) for comparison
  • · Optional: GitHub repo URL for repo-specific SEO analysis
Outputs
  • · FULL-AUDIT-REPORT.md (detailed findings per sub-skill)
  • · ACTION-PLAN.md (prioritized fixes)
  • · Optional: SEO-REPORT.html (if generate_report.py run)
  • · Sub-skill reports: seo-page.md, seo-technical.md, seo-content.md, seo-schema.md, seo-geo.md, etc.
Requires
  • · read_url_content (built-in HTML parsing)
  • · Python 3 scripts (fetch_page.py for structured checks)
  • · Playwright MCP (for JS-rendered sites like x402scan.com, 8004scan.io)
  • · Optional: search console API (if connected)
Preconditions
  • · Target URL must be publicly accessible
  • · For JS-heavy sites: Playwright MCP required
  • · For GitHub repos: gh CLI or GitHub API token for private repos
Failure modes
  • · read_url_content is LLM-first but may hallucinate on complex JS apps (verify with Playwright)
  • · Schema detection fails if markup is invalid or non-standard
  • · Geo/AEO analysis weak for non-English content (model limitations)
  • · Programmatic SEO analysis cannot detect advanced privacy patterns (client-side redirects)
Trust signals
  • · 16 sub-skills with independent reference docs (seo-audit, seo-page, seo-technical, seo-content, seo-schema, seo-sitemap, seo-images, seo-geo, seo-programmatic, seo-competitors, seo-hreflang, seo-plan, seo-github, seo-article, seo-links, seo-aeo)
  • · Deterministic trigger mapping for prompt reliability (user wording → fixed workflow)
  • · Three-step output structure (Gather Requirements, Load CORE-EEAT, Run 9-step analysis)
  • · GitHub-specific skill (seo-github.md) for repo discoverability, README, topics, community health
  • · 89 total scripts across all sub-skills for structured checks (fetch_page.py, generate_report.py, etc.)