SEO-Mastery Skill: Practical SEO for AI Agents

Where this fits

A product team notices organic traffic flattening while competitors appear in AI Overviews. The developer is asked to fix SEO but has no single source of truth. This skill packages Google's official guidance into an agent-ready checklist for technical, content, structured data, and AI-crawler issues. It turns a vague request into a prioritized audit with concrete code changes.

Why agents benefit

• Classifies the request and loads the right reference: technical SEO for canonical, robots, sitemaps; content SEO for E-E-A-T; structured data; or AI crawler behavior for GPTBot, ClaudeBot, and Google-Extended.
• Generates production-ready snippets: XML sitemaps, robots.txt with AI crawler rules, canonical and hreflang tags, and JSON-LD schema.
• Maps Lighthouse and PageSpeed scores to specific Core Web Vitals fixes: compressed images for LCP, event handler cleanup for INP, and layout stability fixes for CLS.
• Runs a complete site audit workflow with checklists and priorities instead of generic advice.
• Keeps recommendations aligned with current Google guidance, including AI Overviews, AI Mode, and llms.txt.

Practical scenarios

AI Overviews visibility audit

A content site is not referenced in generative AI answers. The agent checks whether GPTBot, ClaudeBot, and Google-Extended can crawl, reviews llms.txt availability, and suggests structured data improvements to make content more machine-understandable.

Structured data rich results rescue

A merchant has schema.org markup that Google cannot parse. The agent validates existing JSON-LD, compares it to Google rich result requirements, and outputs corrected schema with testing steps.

Core Web Vitals triage

A developer has Lighthouse scores but no fix list. The agent interprets LCP, INP, and CLS failures, then proposes specific code changes and the order to ship them.

Add it to your agent workflow

Install with:

npx skills add kpab/seo-mastery-agent-skills --skill seo-mastery

Then use a prompt like:

Run seo-mastery site audit for https://example.com. Start with technical SEO, then structured data. Output action items with code samples.

The agent loads the skill README and relevant reference file, applies the checklists, and returns prioritized actions. The same flow works for Lighthouse reviews or a robots.txt rewrite.

Compare before adopting

Before adopting, compare against Google Search Central docs and other SEO agent skills. Look at maintenance freshness: SEO guidance shifts, and an older skill set would miss AI Overviews and current AI crawler defaults. Check whether the code templates fit your stack, such as Next.js, PHP, or a headless CMS, and whether the audit workflow integrates with your agent's existing tools. The GitHub repo has 11 stars and v1.3.0, an early signal; verify issue responses and commit recency.

Why it is worth tracking

The skill is early, but its scope is broad and grounded in official guidelines. Stable versioning and an AI-crawler section indicate active maintenance. Track whether it gains community validation, keeps pace with Google changes, and stays useful after real-world audits. If you need a domain-specific SEO skill, it is worth evaluating on OpenAgentSkill at https://www.openagentskill.com/skills/kpab-seo-mastery and watching over the next few releases.